#Clinical Workflow Management

[hhmglobal]

Driving EMR solutions value with adoption and change

Electronic Medical Record (EMR) systems can enhance the efficiency and performance of healthcare services by streamlining care workflows, promoting interdisciplinary working, and providing on-demand access to comprehensive patient information across healthcare teams.

EMR systems also provide a platform for more connected and patient-centric models of care across large geographies or populations, even though their impact in supporting this sort of care delivery reform has been limited to date.

Reported benefits of EMR solutions include improved patient safety, clinical outcomes, service efficiency, financial performance, and patient experience. These typically derive from improvements in care documentation, medication management, service insights and compliance, capacity and demand management, and patient communication, as well as reduced incidence of delayed or inappropriate care decisions.

However, achieving these benefits requires high levels of adoption by frontline staff and an ongoing program of value measurement and solution optimisation. Further, to realise value from technological advances like Artificial Intelligence (AI) and new service delivery models, EMR solutions must be architected with evolution and change in mind.

Realising value from EMR systems While much evidence supports the value of EMR systems, their implementation can be challenging, requiring well-executed change management involving meaningful and continued engagement with time-poor staff.

EMR deployments often focus on organisational value, typically detailed by a business case. Frontline staff often have to extrapolate meaning for their day-to-day working practices, which may or may not happen. Staff can be challenged by change without understanding its value to them as individuals, resulting in poor motivation and change management difficulties.

Articulating value in terms that resonate with frontline staff can help maintain momentum and enthusiasm for change. Established techniques from other industries, such as persona analysis, provide a helpful tool to express role-specific value definitions.

Collecting qualitative and quantitative data is also fundamental in evidencing and communicating the value of a EMR solution. It is good practice to plan and action this activity before going live. This establishes credible baseline data to compare against post go-live data to determine the value delivered and any unanticipated negative value for prioritisation in continuous improvement programs.

An ongoing journey, not an event The delivery and articulation of value is not an event but an ongoing journey. Post go-live analysis may focus upon a defined set of benefit and outcome measures, possibly described by the original business case. But an ongoing program of solution optimisation and value measurement helps to ensure the solution evolves with service needs, whilst identifying underperforming aspects that require corrective intervention.

An important post go-live dataset, commonly overlooked, relates to solution adoption and activity. This highlights areas of functionality and configuration that perform well or those requiring further interventions like user training or solution configuration changes. Automated adoption dashboards (see Figure 1) also provide dynamic insights.

EMRs must evolve to support new value All EMR solutions will continue to be shaped by technological innovation and changing healthcare demands. A solution’s long-term success will depend on quickly and cost-effectively supporting new value opportunities presented by advances in technology, science, and service delivery models.

AI and Machine Learning (ML), for example, present realistic and affordable options to enhance the quality and outcomes of care interventions. In fact, it is hard to imagine an enterprise-scale EMR solution without AI capabilities in two years’ time.

Generative AI solutions already help care professionals consolidate, synthesise, and summarise patient record data to improve the efficiency and precision of care planning and interventions. ML examples include predictive analysis, such as identifying patients at a higher risk of readmission, developing conditions, or unexpected deterioration.

Integrating interoperability standards, such as Fast Healthcare Interoperability Resources (FHIR), will also become crucial. These facilitate the sharing of structured, coded, and actionable patient information across health and social care services. This is particularly important in enhancing the efficiency and effectiveness of care transitions and collaborative decision-making across large geographies or populations.

Enterprise EMR solutions will also evolve to provide genomic capabilities relating to test orders and results and, importantly, pharmacogenomic decision support to guide and inform the correct and appropriate use of medications for each individual. This understanding, combined with EMR technology, has the potential to transform care outcomes on a scale similar to the introduction of antibiotics.

Transformation and new models of care The term ‘digital transformation’ is hard to escape. But what does this mean for healthcare services adopting an EMR solution?

Digital transformation represents an organisational re-wiring to create value for the organisation and its consumers via innovative business models. However, while many initiatives deliver modernised healthcare interventions – such as video consultations, virtual wards, healthcare apps, and AI technologies – these have been primarily used to enhance existing models of care.

Recognition of the need for new models of care that reflect the demands of modern societies is rapidly gaining pace. Current integrated care models rely on the ability of EMR platform technologies to support the seamless flow of information across healthcare services for the planning, management, allocation, and delivery of healthcare interventions

The transformation of healthcare to deliver genuinely patient-centric and joined-up care workflows will require significant service reforms and a paradigm shift. In particular, it will require moving away from the dominance of acute care. Working in interdisciplinary teams spanning care sectors will also be a significant change and challenge for healthcare professionals.

EMR solutions must provide a critical enabling and supportive role for the unimpeded flow of information across a healthcare region to inform the joined-up planning, management, allocation, and delivery of timely and appropriate care interventions.

Whilst the value currently delivered by EMR solutions is significant and important, the overwhelming value for a modern-day EMR system is in supporting the new and emerging models of care we so desperately need.

About the author Darren Jones is Country Manager, Australia and New Zealand at InterSystems, a creative data technology provider which delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing and supply chain customers in more than 80 countries, and electronic medical record systems which support advanced data management in hospitals. Based in Melbourne, Jones leads the company’s operations in Australia and New Zealand and supports the success of InterSystems customers.

[zenovelsworld]

Explore Zenovel's Clinical Trial Management Systems (CTMS). Discover the significant benefits of CTMS in clinical research, enhancing efficiency, data integrity, and compliance across your clinical research systems for optimized clinical trial management.

[fuck-customers]

So y’all know how when you go to a clinic you usually end up waiting 30+minutes past your appointment time, and you get upset because you probably received a dozen notifications beforehand telling you to arrive early or else? Yeah, lemme give you a peak behind the curtain real quick. Spoilers: it’s management obsessing over money

So at my company, appointments are automatically only fifteen minutes long, but we have the opportunity to edit appointments to be thirty minutes long instead of fifteen, which we usually end up doing because of a mix of chronic understaffing (like only two people per clinic levels) and the fact that a lot of people need more than fifteen minutes to be taken care of, even for “simple” things like runny noses. Management doesn’t like that, though. See, going from fifteen to thirty means going from four patients (or customers in their words) to two, therefore half the money.

So they call us lazy, tell us we’re “triaging” and “pre-diagnosing” and will literally stop us from doing our jobs to make us explain every individual thirty minute appointment or added break. They also frequently change our equipment, our policies, our workflows, and don’t tell us until after, so we have to learn things on the fly or play catch up. Nearly 100% of these assholes have no medical degrees or certifications, and several of them have openly told me they’ve never worked in healthcare before

So yeah, next time you’re stuck in a lobby for an hour past your appointment, know it’s because someone without a degree gave the people with degrees garbage cans masquerading as medical equipment and told them to (for HIPPA’s sake know these are generic examples and not specific patients) sew together someone’s grandma’s face in fifteen minutes (we can’t, so you get pushed back) followed by seeing a car crash survivor in fifteen minutes (we can’t, so you get pushed back) followed by some traumatized three year old with a UTI in fifteen minutes (WE CAN’T, so you get pushed back), etc.

We’re trying y’all, but we just get punished for it and your wasted time means nothing to management’s money

I'd always just assume it was the bean counters that quadruple the appointments to squeeze more people in at a time for max profits.

My Rheum is especially bad about that. You get there the "mandatory" 15 minutes early, they'd call you back 2 hours past. Leave you in the room alone for another 45min to an hour, then take your vitals and after another 2 hours he walks in says "everything looks good and I'm sending in your refills." and walks out and it's over.

30 years of it and the supermarket still gives me grief when I take the whole day off. "You don't need the whole day for a 15 min appointment." Like they have never been to a doctor. My Rheum is the only one on my insurance for 350 miles. So...

-Rodney

[hanasatoblogs]

Intelligent Data Management in Life Sciences: A Game Changer for the Pharmaceutical Industry

In the fast-paced world of life sciences and pharmaceuticals, data management is crucial for driving innovation, enhancing compliance, and ensuring patient safety. With an ever-growing volume of data being generated across clinical trials, drug development, and regulatory compliance, pharmaceutical companies face the challenge of managing and analyzing this vast amount of data efficiently. Intelligent data management offers a solution to these challenges, ensuring that organizations in the life sciences industry can harness the full potential of their data.

Mastech InfoTrellis is a leader in implementing AI-first data management solutions, enabling pharmaceutical companies to streamline their operations, improve decision-making, and accelerate their research and development efforts. This blog explores the critical role of intelligent data management in the pharmaceutical industry, focusing on how Mastech InfoTrellis helps companies navigate data complexity to enhance business outcomes.

What Is Intelligent Data Management in Life Sciences?

Intelligent data management refers to the use of advanced technologies, such as artificial intelligence (AI), machine learning (ML), and automation, to manage, analyze, and leverage data in a way that improves operational efficiency and decision-making. In the life sciences industry, data is generated from various sources, including clinical trials, electronic health records (EHR), genomic research, and regulatory filings. Intelligent data management solutions help pharmaceutical companies streamline the collection, organization, and analysis of this data, making it easier to extract actionable insights and comply with stringent regulatory requirements.

Mastech InfoTrellis applies cutting-edge data management solutions tailored to the pharmaceutical industry, focusing on improving data accessibility, enhancing data governance, and enabling real-time analytics for better decision-making.

Join - ReimAIgined Intelligence at Informatica World 2025

The Importance of Data Management in the Pharmaceutical Industry

Effective data management is the backbone of the pharmaceutical industry. With the increasing volume of data generated in drug discovery, clinical trials, and regulatory compliance, pharmaceutical companies need intelligent systems to handle this data efficiently. Poor data management can lead to significant challenges, such as:

Regulatory non-compliance: In the pharmaceutical industry, compliance with global regulations, including those from the FDA and EMA, is paramount. Mishandling data or failing to track changes in regulations can lead to severe penalties and delays in product approvals.

Data silos: In many organizations, data is stored in different departments or systems, making it difficult to access and analyze holistically. This leads to inefficiencies and delays in decision-making.

Inaccurate data insights: Inaccurate or incomplete data can hinder the development of new drugs or the identification of critical health trends, affecting the overall success of research and development projects.

Intelligent data management solutions, such as those offered by Mastech InfoTrellis, address these issues by ensuring that data is accurate, accessible, and actionable, helping pharmaceutical companies optimize their workflows and drive better business outcomes.

Key Benefits of Intelligent Data Management in Life Sciences

1. Improved Data Governance and Compliance

In the pharmaceutical industry, data governance is a critical function, particularly when it comes to regulatory compliance. Intelligent data management solutions automate the processes of data validation, audit trails, and reporting, ensuring that all data handling processes comply with industry regulations.

Mastech InfoTrellis provides Informatica CDGC (Cloud Data Governance and Compliance), which ensures that data management processes align with industry standards such as Good Clinical Practice (GCP), Good Manufacturing Practice (GMP), and 21 CFR Part 11. This integration enhances data traceability and ensures that pharmaceutical companies can provide accurate and timely reports to regulatory bodies.

2. Enhanced Data Access and Collaboration

In a complex, multi-departmental organization like a pharmaceutical company, it is essential to have data that is easily accessible to the right stakeholders at the right time. Intelligent data management systems ensure that data from clinical trials, research teams, and regulatory departments is integrated into a unified platform.

With Mastech InfoTrellis's AI-powered Reltio MDM (Master Data Management) solution, pharmaceutical companies can break down data silos and provide a 360-degree view of their operations. This enables seamless collaboration between teams and faster decision-making across departments.

3. Faster Drug Development and Innovation

Pharmaceutical companies must make data-driven decisions quickly to bring new drugs to market efficiently. Intelligent data management accelerates the process by enabling faster access to real-time data, reducing the time spent on data gathering and analysis.

By leveraging AI and machine learning algorithms, Mastech InfoTrellis can automate data analysis, providing real-time insights into clinical trial results and research data. This accelerates the identification of promising drug candidates and speeds up the development process.

4. Real-Time Analytics for Better Decision-Making

In life sciences, every minute counts, especially during clinical trials and regulatory submissions. Intelligent data management systems provide pharmaceutical companies with real-time analytics that can help them make informed decisions faster.

By applying AI-powered analytics, pharmaceutical companies can quickly identify trends, predict outcomes, and optimize clinical trial strategies. This allows them to make data-backed decisions that improve drug efficacy, reduce adverse reactions, and ensure patient safety.

Mastech InfoTrellis: Transforming Data Management in the Pharmaceutical Industry

Mastech InfoTrellis is at the forefront of intelligent data management in the life sciences sector. The company's AI-first approach combines the power of Reltio MDM, Informatica CDGC, and AI-driven analytics to help pharmaceutical companies streamline their data management processes, improve data quality, and accelerate decision-making.

By leveraging Master Data Management (MDM) and Cloud Data Governance solutions, Mastech InfoTrellis empowers pharmaceutical companies to:

Integrate data from multiple sources for a unified view

Enhance data accuracy and integrity for better decision-making

Ensure compliance with global regulatory standards

Optimize the drug development process and improve time-to-market

Real-World Use Case: Improving Clinical Trial Efficiency

One real-world example of how intelligent data management is revolutionizing the pharmaceutical industry is the use of Mastech InfoTrellis's Reltio MDM solution in clinical trials. By integrating data from multiple trial sites, research teams, and regulatory bodies, Mastech InfoTrellis helped a major pharmaceutical company reduce the time spent on data gathering and processing by over 30%, enabling them to focus on analyzing results and making quicker decisions. This improvement led to a faster drug approval process and better patient outcomes.

People Also Ask

How does data management benefit the pharmaceutical industry?

Data management in the pharmaceutical industry ensures that all data, from clinical trials to regulatory filings, is accurate, accessible, and compliant with industry regulations. It helps streamline operations, improve decision-making, and speed up drug development.

What is the role of AI in pharmaceutical data management?

AI enhances pharmaceutical data management by automating data analysis, improving data accuracy, and providing real-time insights. AI-driven analytics allow pharmaceutical companies to identify trends, predict outcomes, and optimize clinical trials.

What are the challenges of data management in the pharmaceutical industry?

The pharmaceutical industry faces challenges such as data silos, regulatory compliance, and the sheer volume of data generated. Intelligent data management solutions help address these challenges by integrating data, automating governance, and providing real-time analytics.

Conclusion: The Future of Data Management in Life Sciences

Intelligent data management is no longer just an option for pharmaceutical companies—it's a necessity. With the power of AI, machine learning, and advanced data integration tools, Mastech InfoTrellis is helping pharmaceutical companies improve efficiency, compliance, and decision-making. By adopting these solutions, life sciences organizations can not only enhance their current operations but also position themselves for future growth and innovation.

As the pharmaceutical industry continues to evolve, intelligent data management will play a critical role in transforming how companies develop and deliver life-changing therapies to the market.

[tech4bizsolutions]

MedAI by Tech4Biz Solutions: Pioneering Next-Gen Medical Technologies

The healthcare industry is undergoing a seismic shift as advanced technologies continue to transform the way care is delivered. MedAI by Tech4Biz Solutions is at the forefront of this revolution, leveraging artificial intelligence and cutting-edge tools to develop next-generation medical solutions. By enhancing diagnostics, personalizing patient care, and streamlining operations, MedAI is empowering healthcare providers to deliver better outcomes.

1. AI-Driven Medical Insights

MedAI harnesses the power of artificial intelligence to analyze complex medical data and generate actionable insights. Its advanced algorithms can detect anomalies, predict disease progression, and recommend treatment pathways with unprecedented accuracy.

Case Study: A large medical center integrated MedAI’s diagnostic platform, leading to:

Faster identification of rare conditions.

A 30% reduction in misdiagnoses.

Enhanced clinician confidence in treatment decisions.

These capabilities underscore MedAI’s role in advancing clinical decision-making.

2. Personalized Patient Care

Personalization is key to modern healthcare, and MedAI’s data-driven approach ensures treatment plans are tailored to individual needs. By analyzing patient histories, lifestyle factors, and genetic data, MedAI offers more targeted and effective interventions.

Example: A chronic disease management clinic used MedAI to create personalized care plans, resulting in:

Improved medication adherence.

Decreased hospital readmission rates.

Greater patient satisfaction and engagement.

MedAI’s solutions allow providers to offer more precise, patient-centered care.

3. Enhanced Operational Efficiency

MedAI goes beyond clinical improvements by optimizing healthcare operations. Its automation tools reduce administrative burdens, freeing healthcare professionals to focus on patient care.

Insight: A regional hospital implemented MedAI’s workflow automation system, achieving:

A 40% reduction in administrative errors.

Faster patient registration and billing processes.

Streamlined appointment scheduling.

These improvements enhance overall operational efficiency and patient experiences.

4. Advanced Predictive Analytics

Predictive analytics play a vital role in preventive care. MedAI’s algorithms identify patients at high risk of developing chronic conditions, enabling early interventions.

Case Study: A primary care network used MedAI’s predictive models to monitor high-risk patients, leading to:

Early lifestyle adjustments and medical interventions.

A 25% drop in emergency room visits.

Higher enrollment in wellness programs.

By shifting to proactive care, MedAI helps reduce healthcare costs and improve long-term outcomes.

5. Revolutionizing Telemedicine

The rise of telemedicine has been accelerated by MedAI’s AI-powered virtual care solutions. These tools enhance remote consultations by providing real-time patient insights and symptom analysis.

Example: A telehealth provider adopted MedAI’s platform and reported:

Improved diagnostic accuracy during virtual visits.

Reduced wait times for consultations.

Increased access to care for rural and underserved populations.

MedAI’s telemedicine tools ensure equitable, high-quality virtual care for all.

6. Streamlining Drug Development

MedAI accelerates the drug discovery process by analyzing clinical trial data and simulating drug interactions. Its AI models help identify promising compounds faster and improve trial success rates.

Case Study: A pharmaceutical company partnered with MedAI to enhance its drug development process, achieving:

Faster identification of viable drug candidates.

Shorter trial durations.

Reduced costs associated with trial phases.

These innovations are driving faster development of life-saving medications.

7. Natural Language Processing for Clinical Data

MedAI’s natural language processing (NLP) capabilities extract insights from unstructured medical data, such as physician notes and discharge summaries. This allows for faster retrieval of vital patient information.

Insight: A healthcare system implemented MedAI’s NLP engine and experienced:

Improved documentation accuracy.

Quicker clinical decision-making.

Enhanced risk assessment for high-priority cases.

By automating data extraction, MedAI reduces clinician workloads and improves care quality.

8. Robust Data Security and Compliance

Data security is paramount in healthcare. MedAI employs advanced encryption, threat monitoring, and regulatory compliance measures to safeguard patient information.

Example: A hospital using MedAI’s security solutions reported:

Early detection of potential data breaches.

Full compliance with healthcare privacy regulations.

Increased patient trust and confidence in data protection.

MedAI ensures that sensitive medical data remains secure in an evolving digital landscape.

Conclusion

MedAI by Tech4Biz Solutions is redefining healthcare through its pioneering medical technologies. By delivering AI-driven insights, personalized care, operational efficiency, and robust security, MedAI empowers healthcare providers to navigate the future of medicine with confidence.

As healthcare continues to evolve, MedAI remains a trailblazer, driving innovation that transforms patient care and outcomes. Explore MedAI’s comprehensive solutions today and discover the next frontier of medical excellence.

For More Reachout :https://medai.tech4bizsolutions.com/

[thinkleaptechnology]

How Low-Code Platforms Are Transforming Healthcare and Elevating Patient Experience

The healthcare sector is a highly evolving landscape. The current race for digitization has made it crucial for service providers to stay updated with the latest technology and regulations. Patient satisfaction is of the highest requirement, but inefficient processes, paperwork, and security concerns often hinder positive outcomes. To enhance speed, transparency, and efficiency, many providers are turning to low-code platforms, driving digital transformation. 

Why Low-Code is a Perfect Fit for Healthcare

Low-code platforms enable both technical and non-technical users to build digital healthcare solutions. It simplifies healthcare operations, speeds-up processes and makes healthcare more accessible for patients. 

Most healthcare professionals lack IT training, limiting their ability to use digital tools. Low-code bridges this gap by providing an intuitive interface for rapid, cost-effective app development. With scalable architectures and seamless third-party integration, these platforms improve workflows, patient care, and operational efficiency. 

Key Benefits of Low-Code in Healthcare

Workflow Optimization and Automation:

               Low-code platforms like iLeap streamline administrative and clinical processes. Automating billing, budgeting, and resource management reduces manual effort and errors. Tasks like appointment scheduling and reminders can also be automated, freeing up time for patient care. 

 Seamless Integration:

               A majority of legacy healthcare enterprises rely on legacy systems which is often a major reason for downtimes and slow processes. A robust low-code platform integrates easily with existing software and third-party applications, ensuring unified workflows without IT disruptions.

Customizable Features:

               Low-code solutions automate emails, manage patient records, and schedule appointments efficiently. Platforms like iLeap also support threshold management and escalation for timely responses to critical situations. 

Enhancing Patient Care with Low-Code

Patient Registration and Records : 

Custom applications streamline patient intake, scheduling, second opinions, and billing, reducing wait times and improving experiences.

Automated Appointment Reminders and Feedback: 

By automating reminders and surveys, healthcare staff can focus on critical tasks, reducing no-shows and improving service quality. 

Telehealth and Centralized Communication:

Legacy systems cause fragmented communication and delays. Low-code platforms facilitate telehealth solutions, including video consultations, secure messaging, and EHR integration, ensuring timely care.

Compliance and Accountability:

Regulatory compliance is crucial. Low-code solutions streamline reporting and documentation, ensuring transparency and adherence to guidelines. By 2030, on-demand compliance reports will be necessary, making digital transformation essential.

 

iLeap: Driving Digital Healthcare Transformation 

iLeap enables healthcare providers to build secure, scalable applications tailored to their needs. By optimizing workflows, financial management, and patient experiences, iLeap helps organizations stay ahead in digital transformation. 

Learn more about iLeap’s low-code application development platform. Schedule a call with us 

[hhmglobal]

Hospital & Healthcare Journals highlight how EMR solutions drive value through change management, real-time insights, and staff adoption for better care.

[bbmct]

BBMCT: Begin New Medical Research at AIIMS Hospital

The world of clinical research is constantly evolving, offering new treatments, therapies, and medical innovations that have the potential to change the course of healthcare. British Biomedicine Clinical Trials (BBMCT), in partnership with AIIMS Hospital, stands as a pillar of excellence in the field of advanced clinical research. Known for its state-of-the-art facilities, skilled management, and diverse patient access, BBMCT ensures that cutting-edge medical breakthroughs are brought to life efficiently and ethically. In this article, we explore the unique advantages of collaborating with BBMCT for your clinical research needs.

## Advanced Research Facilities Available

AIIMS Hospital, one of India’s premier medical institutions, provides unparalleled infrastructure and resources for clinical trials. BBMCT leverages these advanced facilities to offer a wide range of clinical research services. The hospital is equipped with modern labs, imaging centers, and specialized units to facilitate in-depth clinical investigations. The seamless integration of research and clinical care allows for a comprehensive approach to studies, ensuring that results are both accurate and meaningful. These high-end facilities are ideal for researchers seeking to test new drugs, therapies, and medical technologies under rigorous conditions.

## Skilled Management for Clinical Trials

One of the core strengths of BBMCT is its experienced and skilled management team. From project initiation to study completion, the team at AIIMS provides expert oversight, ensuring that every aspect of the clinical trial is executed with precision and compliance. This management team includes medical professionals, research coordinators, data analysts, and regulatory experts who work collaboratively to deliver high-quality results. They manage everything from participant recruitment to data collection and analysis, ensuring that all phases of the trial proceed smoothly and meet international standards.

## Diverse Patient Population Accessed

The diversity of AIIMS’s patient population is one of the key advantages when conducting clinical trials at BBMCT. Located in the heart of India’s capital, AIIMS serves a large, varied demographic, including patients from different regions, ethnicities, and socioeconomic backgrounds. This diversity provides an invaluable opportunity to study how treatments affect different population groups. Researchers can achieve a broader, more accurate understanding of a drug’s efficacy across various age groups, genders, and underlying health conditions. This diversity also enhances the external validity of clinical trial results, making them more applicable to global populations.

## Seamless Integration of Cutting-Edge Technology

In today’s fast-paced world of medical research, the integration of advanced technology is critical to the success of clinical trials. BBMCT ensures that AIIMS Hospital is at the forefront of this technological revolution. With access to the latest tools and systems, including electronic health records (EHRs), real-time data monitoring, and artificial intelligence (AI)-driven analysis, BBMCT enhances the accuracy and efficiency of clinical trials. The use of AI allows for predictive analytics, improving patient recruitment, optimizing treatment regimens, and identifying potential risks early in the trial process. This integration of technology streamlines workflows and reduces human errors, ultimately ensuring faster and more reliable results.

## Robust Ethical Oversight Provided

Clinical research is a sensitive and often complex process that requires strict adherence to ethical guidelines. BBMCT and AIIMS Hospital place a strong emphasis on ensuring that all trials are conducted with the highest ethical standards. The hospital has an established Institutional Review Board (IRB) that oversees every study to ensure participant safety, informed consent, and confidentiality. The IRB reviews trial protocols, monitors progress, and ensures compliance with both local and international ethical standards. This robust ethical oversight provides peace of mind to both researchers and participants, making AIIMS an ideal partner for clinical trials.

## Work with Top Medical Experts

At AIIMS Hospital, clinical trials are conducted under the supervision of leading medical experts from various specialties. Whether you’re researching oncology, cardiology, neurology, or any other field, AIIMS offers access to a wide network of top-tier professionals. These experts not only provide invaluable insights into study design but also contribute to patient recruitment, data interpretation, and troubleshooting throughout the trial. By working with such highly qualified specialists, BBMCT ensures that every clinical trial is grounded in deep scientific expertise, increasing the likelihood of success and delivering innovative solutions for complex health issues.

## Efficient Processes for Quick Trials

Time is a critical factor in clinical research. BBMCT at AIIMS Hospital recognizes the importance of streamlining processes to ensure that trials are conducted efficiently and within the designated timelines. From patient recruitment to data collection and analysis, the team works to minimize delays and ensure smooth progress. The hospital’s centralized infrastructure and well-established systems help in faster recruitment, patient monitoring, and data processing. With BBMCT’s support, clinical trials can be completed quickly, without compromising on quality, making it an ideal partner for researchers looking to expedite their projects.

## Enhance Your Study’s Success Rate

The overall success rate of a clinical trial depends on many factors, including study design, patient enrollment, data collection, and analysis. BBMCT’s partnership with AIIMS Hospital enhances the likelihood of trial success through a combination of skilled management, advanced technology, and ethical oversight. The diverse patient pool, along with top medical experts, ensures that the trial results are robust and representative. Additionally, the efficient processes in place reduce the risk of delays or errors that could hinder the success of the study. Researchers working with BBMCT are well-positioned to achieve meaningful and actionable outcomes from their trials.

/media/7326bcfa7a349bf482791ea71163376c

 — -

### FAQs about BBMCT and Clinical Trials at AIIMS Hospital

**1. What is BBMCT’s role in clinical research at AIIMS Hospital?**

BBMCT acts as a trusted partner for conducting advanced clinical trials at AIIMS Hospital. It facilitates the entire process, including study design, patient recruitment, regulatory compliance, and data analysis. BBMCT ensures high-quality results by integrating cutting-edge technology, ethical oversight, and expert management to optimize the success of clinical research studies.

**2. How does BBMCT ensure ethical standards in clinical trials?**

BBMCT ensures rigorous ethical standards by adhering to national and international guidelines for clinical research. The hospital’s Institutional Review Board (IRB) thoroughly reviews each study protocol, ensures informed consent is obtained, and monitors trial progress to safeguard participant safety and confidentiality, ensuring that all trials are conducted ethically and responsibly.

**3. What type of patient population does BBMCT have access to at AIIMS?**

BBMCT benefits from the diverse and large patient population at AIIMS Hospital, which includes individuals from various regions, ethnicities, and socioeconomic backgrounds. This diversity allows researchers to assess how treatments perform across different demographic groups, ensuring that trial results are more universally applicable and increasing the external validity of the study.

**4. How does BBMCT integrate technology into clinical trials?**

BBMCT leverages advanced technologies, such as electronic health records (EHRs), AI-driven analytics, and real-time data monitoring, to enhance the efficiency and accuracy of clinical trials. These technologies streamline processes such as patient recruitment, treatment optimization, and risk monitoring, ultimately improving the speed and reliability of trial outcomes.

**5. What makes AIIMS Hospital a preferred site for clinical trials?**

AIIMS Hospital is a leading medical institution known for its world-class research facilities, skilled medical professionals, and diverse patient population. Combined with BBMCT’s expert trial management, AIIMS offers an ideal environment for conducting clinical research. The hospital’s robust infrastructure, ethical oversight, and access to top medical experts ensure that trials run smoothly and meet global standards.

 — -

## Conclusion

British Biomedicine Clinical Trials (BBMCT) at AIIMS Hospital offers a comprehensive platform for conducting high-quality clinical research. From state-of-the-art facilities to expert management and ethical oversight, BBMCT ensures that every aspect of a clinical trial is handled with precision and care. Researchers benefit from a diverse patient population, cutting-edge technology, and streamlined processes that enhance the chances of success. Working with AIIMS means gaining access to some of the top medical experts in the world, ensuring that your research is in capable hands. For those looking to begin new medical research, BBMCT at AIIMS Hospital provides the ideal setting to achieve impactful results.

Subscribe to BBMCLINICALTRIALS YouTube channel for Research Insights

Be sure to subscribe to the **BBMCLINICALTRIALS YouTube channel** for exclusive access to the latest updates and in-depth insights into British Biomedicine Clinical Trials (BBMCT). Stay informed on cutting-edge research, clinical trial advancements, patient safety protocols, and breakthrough therapies being tested at AIIMS Hospital. Our channel provides expert discussions, industry trends, and detailed videos on the clinical trial process across various therapeutic areas. Whether you’re a healthcare professional, researcher, or simply interested in biomedical innovation, subscribing will keep you at the forefront of clinical research developments. Don’t miss out — join our community today!

[medical-health-care-software]

JVS-DiComPlus: Revolutionizing DICOM Case Management

In the bustling world of cardiology, every heartbeat counts. For a cardiologist, the ability to access and analyze past cases is crucial—not just for learning and improvement, but for saving lives. Yet, with the growing complexity of cases, managing an ever-expanding collection of DICOM CDs can become a cumbersome task. That’s where JVS-DiComPlus

Imagine Dr. Mehta, a seasoned interventional cardiologist, who has spent years compiling an extensive library of DICOM cases. His collection, stored across dozens of CDs, represents a lifetime of learning, breakthroughs, and patient stories. But as the collection grows, so does the challenge of organizing, retrieving, and utilizing this critical data. Time spent searching for the right CD is time lost, and converting DICOM files into formats for presentations is an additional burden.

Enter JVS-DiComPlus—the world’s first plug-and-play custom DICOM case storage device. With a simple connection to his computer, Dr. Mehta can access a sleek, intuitive interface that instantly transforms his approach to case management. No more rifling through stacks of CDs or worrying about compatibility issues. The device’s pre-installed, Windows-compatible software allows him to store up to 5,000 cases on a single 2TB drive, all easily searchable with ultra-fast speed.

But it doesn’t stop there. JVS-DiComPlus goes beyond storage, offering powerful tools that enable Dr. Mehta to play back cine sequences, zoom into images, and export DICOM files into JPEG or AVI formats with a single click. Whether preparing for a high-stakes presentation or simply reviewing a past procedure, the device’s advanced image management features save him time and effort.

In just a few weeks of using JVS-DiComPlus, Dr. Mehta notices a transformation in his workflow. He’s more organized, more efficient, and more confident in his ability to retrieve and present his work. His cases are no longer just stored—they’re at his fingertips, ready to be used for teaching, learning, and making a difference in the lives of his patients.JVS-DiComPlus isn’t just a storage device; it’s a revolution in DICOM case management. For Dr. Mehta and countless other cardiologists, it’s the key to unlocking the full potential of their clinical data—quickly, efficiently, and effortlessly.

[ar-vr-transforming-healthcare]

How AR/VR Development Companies are Transforming Healthcare with Innovative Solutions

The healthcare industry is undergoing a significant transformation, driven by advances in technology that are improving patient care and medical practices. Among these advancements, augmented reality (AR) and virtual reality (VR) have emerged as powerful tools, revolutionizing how healthcare is delivered. Leading AR VR development company are at the forefront of this transformation, creating innovative solutions that address various challenges in diagnostics, treatment, and patient engagement.

These technologies are not merely enhancing existing processes but are also introducing entirely new ways to interact with medical data and provide care. By integrating AR and VR into healthcare, development companies are paving the way for more accurate diagnostics, safer treatments, and a more engaging patient experience.

1. Enhancing Diagnostics with AR/VR Solutions

Advanced Imaging and Visualization: AR/VR development companies are creating tools that allow medical professionals to overlay complex imaging data, such as MRIs and CT scans, onto real-world views. This advanced visualization helps doctors better understand the spatial relationships of internal structures, leading to more accurate diagnoses.

Interactive Diagnostic Training: VR platforms offer immersive training environments where medical students and professionals can practice diagnostic procedures and explore anatomical models in 3D. This hands-on approach enhances learning and skill development, preparing practitioners for real-world scenarios.

Real-Time Data Integration: AR applications provide real-time data overlays during diagnostic procedures, offering immediate access to relevant patient information and helping in making more informed decisions. This integration supports more precise and timely diagnostics.

2. Revolutionizing Treatment Procedures

Surgical Precision and Planning: AR/VR development companies are improving surgical outcomes by providing surgeons with augmented visualizations of the operating field. AR overlays critical information such as patient anatomy and procedural steps, which aids in performing complex surgeries with greater precision.

Pre-Surgical Simulations: VR technology enables surgeons to rehearse and plan complex procedures in a virtual environment before performing them. This simulation allows for meticulous planning, reducing the risk of complications and improving surgical efficiency.

Remote Surgical Assistance: AR/VR solutions facilitate remote assistance by enabling specialists to provide real-time guidance and support to surgeons in different locations. This collaboration enhances the quality of care and expands access to expert advice.

3. Enhancing Patient Engagement and Education

Immersive Patient Education: AR and VR applications are transforming patient education by offering interactive and immersive experiences. Patients can explore 3D models of their conditions and treatments, gaining a clearer understanding of their medical situations and options.

Interactive Rehabilitation Programs: AR/VR development companies are creating engaging rehabilitation programs that use virtual environments to motivate and guide patients through their recovery processes. These programs provide real-time feedback and make rehabilitation exercises more enjoyable and effective.

Emotional and Psychological Support: VR applications offer therapeutic environments to help patients manage anxiety, stress, and pain. Virtual reality can create calming experiences and provide emotional support, improving overall patient well-being.

4. Streamlining Administrative and Clinical Workflows

Enhanced Medical Training: AR/VR development companies are developing solutions that streamline medical training processes, reducing the need for physical models and cadavers. These digital tools make training more flexible and accessible, allowing for scalable and repeatable learning.

Improved Patient Monitoring: AR applications are aiding in real-time patient monitoring by overlaying data on patient dashboards and alerts. This feature helps healthcare providers track patient metrics more efficiently and respond promptly to any changes.

Efficient Data Management: AR/VR tools facilitate better data management by integrating medical records and visualizations into a unified interface. This integration improves data accessibility and reduces the time spent on administrative tasks.

Conclusion

AR/VR development companies are significantly transforming healthcare by introducing innovative solutions that enhance diagnostics, treatment, and patient engagement. From advanced imaging and surgical precision to immersive patient education and streamlined workflows, these technologies are reshaping how medical care is delivered and experienced. As AR and VR technologies continue to evolve, their potential to further revolutionize healthcare practices and improve patient outcomes remains vast, promising a future of more effective and personalized medical care.

[petofyeverythingpets]

Veterinary clinics face numerous challenges in managing daily operations. Veterinary Clinic Management Software offers a comprehensive solution by:

Automating Administrative Tasks: Reduce time spent on routine tasks like appointment booking, billing, and inventory management.

Enhancing Productivity: Centralize patient records, track treatments, and facilitate better team communication.

Streamlining Workflows: Simplify operations with automated reminders and digital record-keeping.

Improving Client Satisfaction: Provide seamless and efficient clinic operations, allowing more focus on patient care.

Transforming Practice Management: Boost overall clinic efficiency, ensuring your team can provide the best possible care for pets.

[lightspren]

i need to tell a nurse she did something wrong. except she didn’t really, it’s “hey you did this in the workflow that you were supposed to, but due to the way the system works, a doctor at the specialty clinic got the result rather than the PCP here and got mad about it, so you have to do it a different way in the future, except IMO it is incredibly unlikely you’ll even run into this situation again because it was weird and because i’m pretty sure you’re retiring in two months. but i still have to tell you because the office manager at the other clinic made a big deal of it.”

and like. i have to tell her that through a professional filter, without confusing her, and without her shooting laser beams from her eyes to kill me (a distinct possibility)

and i don’t wanna. i just want people to chill. like unless it’s a catastrophic error, maybe don’t make a huge deal of a single mistake. please. sigh.

[fishboneart]

Fishbone #010

the human cost rolls downhill

5 source images, 9 layers.

I hate having to write this. I hate that this is a thing that happened to be written about.

In early 2024 a private virtual clinic providing medical care for a vulnerable and underserved patient demographic allegedly replaced 80% of its human staff with machine learning software.

As far as I can find this hasn't been reported on in the media so far and many of the details are currently not public record. I can't confirm how many staff were laid off, how many quit, how many remain, and how many of those are medics vs how many are admin. I can't confirm exact dates or software applications. This uncertainty about key details is why I'm not naming the clinic. I don't want to accidentally do a libel.

I'm not a journalist and ancestors willing researching this post is as close as I'll ever have to get. It's been extremely depressing. The patient testimonials are abundant and harrowing.

What I have been able to confirm is that the clinic has publicly announced they are "embracing AI," and their FAQs state that their "algorithms" assess patients' medical history, create personalised treatment plans, and make recommendations for therapies, tests, and medications. This made me scream out loud in horror.

Exploring the clinic's family of sites I found that they're using Zoho to manage appointment scheduling. I don't know what if any other applications they're using Zoho for, or whether they're using other software alongside it. Zoho provides office, collaboration, and customer relationship management products; things like scheduling, videocalls, document sharing, mail sorting, etc.

The clinic's recent Glassdoor reviews are appalling, and make reference to increased automation, layoffs, and hasty ai implementation.

The patient community have been reporting abnormally high rates of inadequate and inappropriate care since late February/early March, including:

Wrong or incomplete prescriptions

Inability to contact the clinic

Inability to cancel recurring payments

Appointments being cancelled

Staff simply failing to attend appointments

Delayed prescriptions

Wrong or incomplete treatment summaries

Unannounced dosage or medication changes

The clinic's FAQ suggests that this is a temporary disruption while the new automation workflows are implemented, and service should stabilise in a few months as the new workflows come online. Frankly I consider this an unacceptable attitude towards human lives and health. Existing stable workflows should not be abandoned until new ones are fully operational and stable. Ensuring consistent and appropriate care should be the highest priority at all times.

The push to introduce general-use machine learning into specialised areas of medicine is a deadly one. There are a small number of experimental machine learning models that may eventually have limited use in highly specific medical contexts, to my knowledge none are currently commercially available. No commercially available current generation general use machine learning model is suitable or safe for medical use, and it's almost certain none ever will be.

Machine learning simply doesn't have the capacity to parse the nuances of individual health needs. It doesn't have the capacity to understand anything, let alone the complexities of medical care. It amplifies bias and it "hallucinates" and current research indicates there's no way to avoid either. All it will take for patients to die is for a ML model to hallucinate an improper diagnosis or treatment that's rubber stamped by an overworked doctor.

Yet despite the fact that it is not and will never be fit for purpose, general use machine learning has been pushed fait accompli into the medical lives of real patients, in service to profit. Whether the clinic itself or the software developers or both, someone is profiting from this while already underserved and vulnerable patients are further neglected and endangered.

This is inevitable by design. Maximising profit necessitates inserting the product into as many use cases as possible irrespective of appropriateness. If not this underserved patient group, another underserved patient group would have been pressed, unconsenting, into unsupervised experiments in ML medicine--and may still. The fewer options and resources people have, the easier they are to coerce. You can do whatever you want to those who have no alternative but to endure it.

For profit to flow upwards, cost must flow downwards. This isn't an abstract numerical principle it's a deadly material fact. Human beings, not abstractions, bear the cost of the AI bubble. The more marginalised and exploited the human beings, the more of the cost they bear. Overexploited nations bear the burden of mining, manufacture, and pollution for the physical infrastructure to exist, overexploited workers bear the burden of making machine learning function at all (all of which I will write more about another day), and now patients who don't have the option to refuse it bear the burden of its overuse. There have been others. There will be more. If the profit isn't flowing to you, the cost is--or it will soon.

It doesn't have to be like this. It's like this because humans made it this way, we could change it. Indeed, we must if we are to survive.

[jcmarchi]

Open-Source Platform Cuts Costs for Running AI - Technology Org

New Post has been published on https://thedigitalinsider.com/open-source-platform-cuts-costs-for-running-ai-technology-org/

Open-Source Platform Cuts Costs for Running AI - Technology Org

Cornell researchers have released a new, open-source platform called Cascade that can run artificial intelligence (AI) models in a way that slashes expenses and energy costs while dramatically improving performance.

Artificial intelligence hardware – artistic interpretation. Image credit: Alius Noreika, created with AI Image Creator

Cascade is designed for settings like smart traffic intersections, medical diagnostics, equipment servicing using augmented reality, digital agriculture, smart power grids and automatic product inspection during manufacturing – situations where AI models must react within a fraction of a second. It is already in use by College of Veterinary Medicine researchers monitoring cows for risk of mastitis.

With the rise of AI, many companies are eager to leverage new capabilities but worried about the associated computing costs and the risks of sharing private data with AI companies or sending sensitive information into the cloud – far-off servers accessed through the internet.

Also, today’s AI models are slow, limiting their use in settings where data must be transferred back and forth or the model is controlling an automated system. 

A team led by Ken Birman, professor of computer science in the Cornell Ann S. Bowers College of Computing and Information Science, combined several innovations to address these concerns.

Birman partnered with Weijia Song, a senior research associate, to develop an edge computing system they named Cascade. Edge computing is an approach that places the computation and data storage closer to the sources of data, protecting sensitive information. Song’s “zero copy” edge computing design minimizes data movement.

The AI models don’t have to wait to fetch data when reacting to an event, which enables faster responses, the researchers said.

“Cascade enables users to put machine learning and data fusion really close to the edge of the internet, so artificially intelligent actions can occur instantly,” Birman said. “This contrasts with standard cloud computing approaches, where the frequent movement of data from machine to machine forces those same AIs to wait, resulting in long delays perceptible to the user.” 

Cascade is giving impressive results, with most programs running two to 10 times faster than cloud-based applications, and some computer vision tasks speeding up by factors of 20 or more. Larger AI models see the most benefit.

Moreover, the approach is easy to use: “Cascade often requires no changes at all to the AI software,” Birman said.

Alicia Yang, a doctoral student in the field of computer science, was one of several student researchers in the effort. She developed Navigator, a memory manager and task scheduler for AI workflows that further boosts performance.

“Navigator really pays off when a number of applications need to share expensive hardware,” Yang said. “Compared to cloud-based approaches, Navigator accomplishes the same work in less time and uses the hardware far more efficiently.”

In CVM, Parminder Basran, associate research professor of medical oncology in the Department of Clinical Sciences, and Matthias Wieland, Ph.D. ’21, assistant professor in the Department of Population Medicine and Diagnostic Sciences, are using Cascade to monitor dairy cows for signs of increased mastitis – a common infection in the mammary gland that reduces milk production.

By imaging the udders of thousands of cows during each milking session and comparing the new photos to those from past milkings, an AI model running on Cascade identifies dry skin, open lesions, rough teat ends and other changes that may signal disease. If early symptoms are detected, cows could be subjected to a medicinal rinse at the milking station to potentially head off a full-blown infection.

Thiago Garrett, a visiting researcher from the University of Oslo, used Cascade to build a prototype “smart traffic intersection.”

His solution tracks crowded settings packed with people, cars, bicycles and other objects, anticipates possible collisions and warns of risks – within milliseconds after images are captured. When he ran the same AI model on a cloud computing infrastructure, it took seconds to sense possible accidents, far too late to sound a warning.

With the new open-source release, Birman’s group hopes other researchers will explore possible uses for Cascade, making AI applications more widely accessible.

“Our goal is to see it used,” Birman said. “Our Cornell effort is supported by the government and many companies. This open-source release will allow the public to benefit from what we created.”

Source: Cornell University

You can offer your link to a page which is relevant to the topic of this post.

[petliftsupply]

Choosing the Right Veterinary Equipment: Factors to Consider

Providing optimal care for animals requires the use of appropriate veterinary equipment. The selection of veterinary equipment plays a crucial role in the diagnosis, treatment, and overall well-being of our furry patients. However, with a wide array of options available on the market, choosing the right equipment can be a daunting task for veterinarians and clinic owners. In this blog post, we will explore key factors to consider when selecting veterinary equipment, ensuring that you make informed decisions that benefit both your patients and your practice.

Purpose and Functionality

Before investing in any veterinary equipment, it is essential to understand its purpose and functionality. Assess your clinic's specific needs and consider the equipment's intended use. Whether it's diagnostic tools, surgical instruments, or monitoring devices, each piece of equipment should serve a specific function in your practice. For example, if you frequently perform orthopedic surgeries, investing in high-quality surgical instruments designed for such procedures is crucial.

Quality and Durability

Quality and durability are paramount when it comes to veterinary equipment. Opting for reliable and durable equipment ensures longevity, minimizing the need for frequent repairs or replacements. Look for reputable manufacturers or suppliers known for their commitment to producing high-quality products. Read reviews, seek recommendations from colleagues, and consider the warranties and after-sales support offered.

Cost-effectiveness

While quality is important, it is also crucial to strike a balance between quality and cost-effectiveness. Veterinary equipment can vary significantly in price, and it's important to consider your budget without compromising on the necessary quality. Evaluate the cost of equipment in relation to its expected lifespan, maintenance requirements, and potential return on investment. Sometimes, paying a higher upfront cost for a durable piece of equipment can be more cost-effective in the long run, reducing overall maintenance and replacement expenses.

Ease of Use and Training

Consider the ease of use and the learning curve associated with the equipment. Will your staff require extensive training to operate the equipment effectively? Look for equipment that comes with user-friendly interfaces, intuitive controls, and clear instructions. Additionally, consider the availability of training resources, such as user manuals, online tutorials, or manufacturer support, to ensure your team can utilize the equipment efficiently.

Compatibility and Integration

In today's digital age, seamless integration and compatibility with existing systems are important considerations. Ensure that the equipment you choose can integrate with your practice management software, electronic health records, or other diagnostic tools. This integration streamlines workflows, enhances data management, and facilitates seamless communication between different systems, saving time and reducing errors.

Size and Portability

The size and portability of veterinary equipment should align with your clinic's physical space and operational needs. If you have limited space, compact and space-saving equipment may be preferable. On the other hand, if you provide mobile veterinary services or have a need for equipment that can be easily transported, consider the portability and weight of the equipment.

Safety and Compliance

Safety is paramount in veterinary practice. Ensure that the equipment meets all safety standards and regulatory requirements. Look for certifications or compliance markings that guarantee adherence to safety guidelines. Pay attention to features such as built-in safety mechanisms, ergonomic designs, and measures to prevent cross-contamination.

Technical Support and Maintenance

Consider the availability of technical support and maintenance services for the equipment you choose. Prompt and reliable technical support ensures that any technical issues can be addressed efficiently, minimizing downtime. Additionally, inquire about maintenance requirements, such as routine calibration, cleaning, or servicing, and assess whether you have the resources or access to service providers for proper maintenance.

Feedback and Recommendations

Seek feedback and recommendations from fellow veterinarians or professionals in the field. Connect with professional networks, attend conferences, or participate in online forums to gather insights and learn from others' experiences. Their firsthand experiences and recommendations can provide valuable guidance in selecting the right equipment for your practice.

Conclusion

Choosing the right veterinary equipment is a crucial decision that directly impacts the quality of care provided to animals. By considering factors such as purpose and functionality, quality and durability, cost-effectiveness, ease of use and training, compatibility and integration, size and portability, safety and compliance, technical support and maintenance, and seeking feedback and recommendations, you can make informed choices that align with your clinic's needs and goals.

Original Source: https://petliftsupply.com/blogs/news/choosing-the-right-veterinary-equipment-factors-to-consider