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7 Healthcare Industries Ready To Be Disrupted By AI in 2022

It’s not science fiction anymore! Artificial intelligence is transforming healthcare beyond our imagination. The power of AI is echoing across healthcare subindustries, and it is truly life-changing.

AI is bringing a paradigm shift in the healthcare industry, with its ability to mimic human cognitive functions. It is the catalyst to self-running growth by leveraging advanced technologies that enable machines to sense, understand, act, and learn to perform diverse administrative and clinical healthcare functions to augment human activity.

Which Healthcare Sub-industries are Looking Forward to Transformation?

From early detection to improved medical diagnosis, AI is positively contributing to the welfare of humanity. AI and ML are reshaping healthcare in multiple ways — how consumers access it, how the providers are delivering it, and what health outcomes may achieve. In this article, we identify 7 healthcare sub-industries that will see a significant impact and massive transformation in the coming years.

Medical Diagnosis

‘Diagnostic errors contribute to approximately 10% of patient deaths, and account for 6 – 17% of hospital complications.’ – National Academies

Physician performance is not the only factor that causes these errors. There are many others like  

🔶Inefficient collaboration and integration of health information systems

🔶Communication gaps among clinicians and patients

🔶A traditional healthcare work system that does not adequately support the diagnostic

Applications of AI in medical diagnosis are currently in the early adoption phase due to limited data available on patient outcomes. However, by around 2022, AI may advance in its potential to impact how healthcare providers and health care systems approach diagnostics. It will play its role in reshaping the ability for individuals to understand changes to their health in real-time

Medical Billing

Coding accuracy is an ongoing challenge for healthcare providers. These errors are increasing claims denial rates and eventually affecting their ROI. On the other hand, billing is a manual and tedious task that requires efficiency. The role of AI in medical billing is that of an expert billing assistant who is accurate, fast, and highly efficient.

Medical billing and coding is a core element of how healthcare is delivered and received in the US. The risks of inaccurate billing are still a challenge in this field, and the vast amounts of data involved are prime territory for AI applications. The sheer volume of billables requires quick processing, and AI can address these hurdles through intelligent text analysis, denial management analysis, and more.

Pharma

Over the last five years, the use of AI in the pharma industry has redefined how scientists develop new drugs, counter diseases, and more. AI may have a crucial role in the pharma industry in developing new drugs, helping in drug adherence, and in-depth analysis of clinical trials.

As per a report published by the HIMSS Analytics 2017 Essentials Brief, less than 5% of healthcare organizations are currently using or investing in AI technologies. Current IT infrastructure of Pharma companies is traditional and based on legacy systems, lacking in interoperability and tagged data. AI-based systems in pharma can solve these challenges. It can cut costs down, create new, effective treatments, and above all else, help save lives.

Medical Imaging

Deep learning technology can identify specific features in images, enhance image quality, and spot outliers and abnormalities. Many imaging research laboratories are rapidly moving towards advanced techniques to achieve efficiency and expertise to the optimum level.

AI in medical imaging can enhance a broad spectrum of an essential process such as medical image reconstruction, noise reduction, quality assurance, segmentation, triage, and more. Many upcoming AI-based applications are claiming to have potential in radio genomics, computer-aided detection, and classification.

In the coming years, AI will remodel current healthcare systems to offer a powerful impact on current clinical imaging practices. To make it happen, we need to focus on building novel pre-trained model architectures tailored for medical imaging data along with means of data exchange with seamless interoperability.

IoT

To offer value-based healthcare to the patients, a combination of AI and IoT can add value beyond imagination. Dubbed as the Internet of Medical Things (IoMT), this advanced technology can enable connecting different medical devices and sensors with the internet to gather vast amounts of critical patient’s data. This collected data can be analyzed and utilized to understand patient conditions, faster and accurate medical diagnosis and to understand resource utilization patterns at a healthcare facility.

Though it requires a substantial initial investment, many healthcare facilities are taking an interest in the merits of IoMTs. It can bring great relief to patients and providers related to chronic diseases. These patients can be monitored in real-time from the comfort of their home.

Pathology

Traditional pathology practices are nearing an end as digital pathology with AI is quickly replacing them. With the rising workload and need for accuracy, AI will mark its impact in the coming years at a full-scale level. Advanced technologies hold the power of taking current pathology procedure labs beyond the limits of the microscope and human sight.

AI in pathology can simplify image analysis, rare object identification, morphology-based segmentation, and digital whole slide imaging. The accelerated adoption of artificial intelligence and digital pathology in recent clinical practice has ushered in new horizons for value-based care delivery.

Radiology

Advancements of AI in radiology domain can be a crucial breakthrough in our efforts of revolutionizing patient care. AI can power an integrated cloud-based RIS/PACS platform to help radiologists review the cases automatically in real-time.

The current predictions for the upcoming future of radiology with AI are pro-AI mostly. If these predictions are realized, then clinicians, patients, and payers will undoubtedly gravitate toward modern-day radiologists who have figured out how to work efficiently alongside AI.

Conclusion

AI is becoming highly ubiquitous, and we have yet to realize its game-changing clinical, administrative, and financial opportunities that await us in healthcare. With current experiences, we can say that AI has multiplied productivity across a range of human endeavors. AI has already progressed rapidly to solve process inefficiencies, manual and expensive procedures, guard against human error, and provided assurance to redefine the whole idea of patient care. Unlocking the power of AI will need closer collaboration between the healthcare IT stakeholders and the end-users in the industry.

Download the eBook 

 In this eBook, I have discussed each industry in detail. Their current challenges, an overview of AI-based solution workflow process, the modules, compelling use cases, and finally, the benefits will be discussed.

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How to Advance Towards Achieving 100% Interoperability in Healthcare?

Interoperability can be dubbed as a data superhighway, but the majority of healthcare stakeholders are still stuck in a parking lot. Integrating and utilizing EHRs together are the first baby steps. Healthcare Interoperability will be an ongoing challenge for healthcare stakeholders due to the industry’s unique information exchange requirements and stringent compliance mandates. If we aim to overcome these hurdles, then achieving 100% EHR interoperability is the final summit where we are yet to reach.

Data Belongs to the Patients

“The idea that patient data belongs to providers or vendors is an epic misunderstanding. Patient data belongs to patients” –Seema Verma, Administrator CMS

CMSreleased proposed rules that require many types of insurers to provide electronic health data in a standard format by 2020. These rules require healthcare providers and health plans to implement open data-sharing systems to ensure data can easily flow from one system to another, potentially by way of patient apps.

The major goal of CMS and the Office of the National Coordinator for health information technology is to empower patients to control their own healthcare data and finally put them in the driver’s seat. The healthcare industry now needs to rely on modern technology, such as the near-ubiquitous use of smartphones and mobile apps to allow patients to take command of their care by virtue of gaining further access to their data.

How Interoperability Exists Today

Various interoperability standards such as Health Level Seven (HL7) and FHIR are competent in the industry for better streamlining of health documentation and care coordination. With the help of FHIR, doctors can get access to the health data on their mobile phones through multiple API functions that FHIR supports. Ability to access accurate data from sources other than EHRs is the need of the hour.

The Curious Case of Health Data Exchange

Since1987, HL7 International has been working on healthcare data standards to create and improve the standards in use throughout the healthcare industry.

Different systems have varied workflows which are supposed to work well in a patient facility or an ambulatory environment. The technology leveraged should be flexible and easily configurable. The traditional data exchange pattern should be replaced with data exchange through an advanced integration engine.

Integration engines can act as a hub to offer seamless integration and cut down the development cost and time drastically. Integration engines are quick and simplify the workflow for central monitoring, flow control, alerting, data mapping, and more, to organize the data flow within these applications.

The Story Behind Healthcare APIs

The healthcare industry cannot optimize interoperability without creating data and adhering to data standards. The healthcare industry needs to adopt a standardized implementation model with the help of web APIs.

APIs are also being deployed within business intelligence platforms to create a centralized,360-degree view of the patient. They represent a framework for solving complex clinical problems. The true IoT experience can be made possible with APIs where people can push the data from their medical devices directly to the medical records with ease. Multiple data sources, such as genomics and lab data will be transferable. As APIs are helping these providers to offer more precise care based on all the data being accumulated from APIs coming in from apps and hardware.

SMART on FHIR

Developed by Boston Children’s Hospital and Harvard Medical School Department of biomedical Informatics in 2010, and SMART on FHIR is immensely supported by the healthcare industry. It focuses on three key areas.

📌 Guide the client to have a review of them and negotiate access to data in the EHR

📌 Provide guidelines as to how the data will be exchanged and how a person can access it (With the help of FHIR REST API)

📌 Provide a medium to launch external apps through the EMR

SMART on FHIR addresses the needs of end-users and app developers while providing an open-standards-based platform that aligns with the needs of clinical system vendors. To build upon the momentum, we recommend a strong push towards early platform adoption in service of business cases that provide value today.

Will the Hybrid Approach to Data Exchange Work?

On-premise EHRs and cloud use should be combined with the modern FHIR API approach to data exchange. But to bring this hybrid approach to data exchange into reality, we require an extremely flexible, platform approach to manage the health data. To help guide the flow of data between applications and systems (regardless of database location), we need centralized command systems at the core. It will ensure that each application and healthcare provider have the right patient data, with the right insights, at the right time.

Here are some more examples leveraging Semantic Interoperability to advance health data exchange.

Data Hosting, Management, and Support/Cloud Service

Hospital Information & Communication Systems

Consumer Device Management & Supply

The Road Ahead

Today’spatients are smart and actively engaging their own health data and influencing care decisions. When it comes to the health data, the new rules proposed by CMShave given the steering wheel in the hands of patients. Seamless and secure data exchange is the need of the hour to ensure the right care, at the right time, to the right person and at the right cost.

Healthcare technology developers should seek input and collaboration with federal agencies to inform governance implementation and ensure broad participation. Modern-day health data exchange strategies need to be leveraged while welcoming advanced health data exchange standards like FHIRs to take a step further towards a universally interoperable healthcare ecosystem.

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CLINICAL DECISION SUPPORT SOLUTIONS

The dynamic nature and complexity of value-based healthcare domain need a holistic approach to decision support that focuses on patient engagement, consistency of care, and the ability to measure developments in patients outcomes. OSP Labs’ tailored clinical decision support software solutions are instrumental in helping you make better informed clinical decisions, create workflow efficiencies and control final costs. Our clinical decision support solutions embed medical knowledge into existing healthcare systems to support safe medication decisions while also meeting essential compliance and market needs. The machine-learning solutions offer detailed medication classification surpassing mandated industry standards to reduce the potential for drug prescription errors. Our CDSS software solutions strive to build the robust technical infrastructure to allow health systems to share data electronically. Our software services render the complete information possible into CDS systems to enhance decision-making process in the clinical workflow.

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Medical Billing Software Solutions

From specialty billing to integrated clearinghouse solutions, we are leveraging technology to build personalized medical billing software solutions for growing healthcare billing companies.

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HEALTHCARE REVENUE CYCLE MANAGEMENT SOLUTIONS

OSP Labs’ medical billing and healthcare revenue cycle management solutions ensure healthcare practices gain an optimal return on their investment. Our rich healthcare domain knowledge and profound payer relationships allow us to enhance reimbursement cycle and optimize patient-to-payment course to streamline revenue cycle management. Our medical revenue cycle management solutions strive to provide seamless revenue flow, enforce accurate policies, deploy time-sensitive bandwidth, facilitate compliance with regulations and reduce claim denials. OSP Labs’ healthcare revenue cycle management software services help to alleviate the labor-intensive manual tasks such as filing claims, working unpaid claims, exclusions, filing appeals, payment posting, secondary insurance claim filing, patient billing, etc. to bring efficiency to your revenue cycle management.  

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OSP Labs collaborative care management software solutions play a vital role in offering qualitative value-based healthcare to strengthen the foundation of trust and value to ensure qualitative and 360-degree assistance to the patients. Our care management software solution comprised of a patient-centric interface to content-enable PACS, HIS and electronic medical record applications for access for all relevant clinical and financial data. To bridge gaps and strengthen fruitful collaboration amongst patients and payers our collaborative care management software system offer advanced payment framework that streamlines multiple quality programs under the new merit-based incentive payments system (MIPS).

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With growing new paradigm in value-based care models, health providers demand a robust population health management solutions that meets the needs of ACOs, FQHCs, PCMHs, and other collaborative care settings. To deliver efficient care health networks, regions, and centers requires tools that optimize care models, identify higher-risk patients, and factors that determine patient health based on intelligent aggregated data analytics. OSP Labs builds bespoke population health management software solutions that enhance population treatment, improve care workflows, engage patients, and tackle daily challenges to deliver value-based care.

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Integrated Dental Health Billing System

OSP powers innovation that drives real business outcomes and supports next-gen technology ideas with customer needs. Our bespoke healthcare software solutions address the entire scope of today's healthcare challenges. http://bit.ly/2Cd8MqG

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How Healthcare Providers Can Prepare for Artificial Intelligence, Machine Learning

There seems to be no doubt left among healthcare professionals on the benefit that Artificial Intelligence (AI) can bring to the table. Whether its clinical applications, administrative systems, or claims management, the solutions range across the board. Every hospital now knows that AI is the answer to the challenge of staying ahead in the healthcare industry. The number of vendors that offer AI and machine learning solutions are numerous and their effects come with the potential to transform operations across medical practices of variant sizes. According to a recent study titled ‘Artificial Intelligence for Health and Healthcare’ by The MITRE Corporation, it was observed that, “Unlike previous eras of excitement over AI, the potential of AI applications in health may make this era different because the confluence of the following three forces has primed our society to embrace new health-centric approaches that may be enabled by advances in AI:

Frustration with the legacy medical system

Ubiquity of networked smart devices in our society

Acclimation to convenience and at-home services

Artificial Intelligence in a Nut Shell:

Although AI is a broad umbrella that embraces many different types of next-generation technologies, specific to the healthcare industry, it offers the capacity to mimic superior human intelligence and tasks that cover knowledge management, recognition of processes, processing of administrative tasks, data automation, etc.

The automation angle of Artificial Intelligence allows for mundane tasks to be performed more efficiently and faster, with a reduced possibility of errors. It can be likened to the adoption of an employee with superior robotic capacities. In this article, we will explore the following questions:

What are the ways in which hospitals have begun to adopt these technologies?

What are the benefits of these adoptions?

How can hospitals leverage artificial intelligence?

Adoption of AI technologies:

AI technologies can be leveraged to improve functionality across the following areas:

Improved Patient Access

Intelligent Outpatient Scheduling

Enhanced MRI Scans

Management of ORs and Lab Timings

Automated Preauthorization Procedures

Predictive Claims Denials/ Rejects

Identification of Medicine Variants

To read more: click here

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What Is Population Health Management (PHM)?

Population Health Management (PHM), an integral part of the healthcare system in the U.S, tend to govern the process of care to a community of people having similar healthcare needs. According to the founder of the Yale Department of Public Health, C.-E.A. Winslow, “PHM is the science and art of preventing disease, prolonging life, and promoting health through the organized efforts and informed choices of society, organizations, public and private communities, and individuals.”

PHM is acting as a unified platform of analytics for improving the insights of patients, care managers, and care providers towards population health. Care providers can find outpatients who need primary healthcare interventions. This helps in laying a proactive foundation for improved preventive care and better disease management.

With PHM, patients are now getting involved in different patient meeting platforms to fulfill their care goals. They participate actively or passively via remote monitoring means. As per the U.S. Department of Health and Human Services, over 91% of hospitals and approximately 75% of the U.S. eligible professionals use Electronic Health Records (EHR), which is sanctioned for Stage 1 usage.

PHM itself encompasses proactive implementation of strategies and interventions to specify the cohorts of people groups across the gamut of healthcare delivery for sustaining or improving the health at the lowest possible cost. Marking a shift from acute care due to electronic data availability, PHM is now focusing on shared accountability provisions to increase its scope. This expansion covers an increasing keenness for data related to other care pathways along with the continuum and formal fiscal agreements for sharing the responsibility.

To Read More: http://bit.ly/2BREpGe 

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Healthcare Provider Network Management Software Solutions

The modern healthcare is consumer-driven where care coordination through an uninterrupted flow of data is essential. A comprehensive network of healthcare providers is required to manage the perfect balance between health care and its expenses. OSP Labs built a cloud-based automated dental health billing system with secure healthcare provider network management for a USA-based Dental FQHC.

"Maintaining the provider network directories with up-to-date, detailed, and confirmed provider lists is a never-ending challenge for payer organizations of all sizes. A cloud-based dental health provider network is the need of the hour to help minimize claiming costs, reduce manual work, expedite the payments, and enhance operational efficiencies,"

OSP Labs has helped our USA-based client with a bespoke automated billing system hosted in an AWS cloud. Our highly customized medical billing solutions play a critical role in medical billing & coding, finance management, and reliable healthcare provider network management. With granular-level user roles and intelligent reimbursement control, our feature-packed platform provides 100% HIPAA-compliance.

Maintaining the provider network directories with up-to-date, detailed, and confirmed provider lists is a never-ending challenge for payer organizations of all sizes. A cloud-based dental health provider network is the need of the hour to help minimize claiming costs, reduce manual work, expedite the payments, and enhance operational efficiencies.

GARRON JOHNSON

AVP, HEALTHCARE SOLUTION

OSP Labs' custom provider network management brilliantly aligned with our client's reimbursement policies and contract terms. We managed to offer robust assistance in integrating the internal contracting systems, credentialing systems, healthcare claims management, and provider directories to provide a highly streamlined provider network management.

About OSP Labs:

OSP Labs is a dedicated healthcare solution company. We provide made-to-order software, applications and tools on a mission to redefine the entire continuum of healthcare. From process automation to AI care delivery, our solutions enable organizations to renew their business processes while gaining integration competency. We have helped many healthcare organizations with the automated medical billing system, medical claims management software solutions, healthcare provider network management, healthcare payer solutions and more.

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Artificial Intelligence in Medical Coding

Will AI transform the traditional medical coding and billing? Certainly, Yes! Artificial Intelligence is comprehensively redefining the medical coding & billing process. Read to know more: http://bit.ly/2PvZb14 

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OSP Labs Launched Bespoke Healthcare Provider Network Management Solutions

The modern healthcare is consumer-driven where care coordination through an uninterrupted flow of data is essential. A comprehensive network of healthcare providers is required to manage the perfect balance between health care and its expenses. OSP Labs built a cloud-based automated dental health billing system with secure provider network management for a USA-based Dental FQHC.

"Maintaining the provider network directories with up-to-date, detailed, and confirmed provider lists is a never-ending challenge for payer organizations of all sizes. A cloud-based dental health provider network is the need of the hour to help minimize claiming costs, reduce manual work, expedite the payments, and enhance operational efficiencies,"

OSP Labs has helped our USA-based client with a bespoke automated billing system hosted in an AWS cloud. Our highly customized medical billing solutions play a critical role in medical billing & coding, finance management, and reliable health care provider network management. With granular-level user roles and intelligent reimbursement control, our feature-packed platform provides 100% HIPAA-compliance.

Maintaining the provider network directories with up-to-date, detailed, and confirmed provider lists is a never-ending challenge for payer organizations of all sizes. A cloud-based dental health provider network is the need of the hour to help minimize claiming costs, reduce manual work, expedite the payments, and enhance operational efficiencies.

GARRON JOHNSON

AVP, HEALTHCARE SOLUTION

OSP Labs' custom provider network management brilliantly aligned with our client's reimbursement policies and contract terms. We managed to offer robust assistance in integrating the internal contracting systems, credentialing systems, healthcare claims management, and provider directories to provide a highly streamlined provider network management.

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OSP Labs Accelerates Claim Processing Workflow Through Claim Data Management Solutions

Medical claims processing is one amongst the three core elements of the value-added insurance chain. One primary avenue of fostering medical claims processing growth is by robust claims data management solutions. OSP Labs engineered a real-time medical claim data management solutions to enhance medical claim management by study and evaluate the claims data to judge its suitability for further processing.

"Paper-based manual claims data management is time-consuming and requires additional efforts. The need of an hour is to accelerate the medical claims management procedure workflow with real-time tracking of medical claims status while maintaining the necessary HIPAA standards."

OSP Labs has successfully created a real-time medical claims data management solutions while maintaining HIPAA compliance backed by AWS cloud hosting. We replaced paper-driven claim data management system with a single and shared interface to track the rejected claims and documents automatically. Our web-based medical claims solution allows uploading the outstanding claims status, timely alerts of respective medical claims to the providers, upload document, add valuable feedback or update status.

Paper-based manual claims data management is time-consuming and requires additional efforts. The need of an hour is to accelerate the medical claims management procedure workflow with real-time tracking of medical claims status while maintaining the necessary HIPAA standards.

Garron Johnson

AVP, Healthcare Solution

OSP Labs' tailored medical claims data management software solutions enabled the client to make self-service claim inquiry and regular follow up on rejected claims. The 'claim follow up report' generation, reminder algorithm and advanced data management with robust data security and compliance are the major takeaway points of OSP Labs' made-to-order claims data management solutions. It helped the client to accelerate the medical claims management process and reduce claim denials with inbound claim analysis.

About OSP Labs:

OSP Labs is a dedicated healthcare solution company. We provide made-to-order software, applications and tools on a mission to redefine the entire continuum of healthcare. From process automation to AI care delivery, our solutions enable organizations to renew their business processes while gaining integration competency. We have helped many healthcare organizations with the automated medical billing system, healthcare provider network management, medical claims management solutions and more.

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Healthcare organizations are either purchasing enterprise payer software solution or building a personalized one. What's your take? Want to know more what the experts say? Get the insights here- http://bit.ly/2Prm0Tp

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How Artificial Intelligence is Rewriting the Medical Coding Automation

Artificial Intelligence plays a crucial role in reshaping healthcare. The adoption of AI in the healthcare is gaining huge momentum and solving a broad spectrum of issues faced by patients, providers, payers, and billing companies.

AI has the potential to power clinical decision support and predictive analytics tools that digitally empower healthcare providers. Machine Learning is an integral part of AI, and it has numerous implications in diverse fields of the healthcare including disease management, diagnosis and treatment, clinical trials, patient engagement, patient monitoring, and wellness management.

Adopting AI to transform current medical coding systems is a daunting task. Understanding AI’s role in healthcare is necessary for its seamless adoption to streamline your healthcare systems. Learn more: How The Artificial Intelligence is Rewriting the Medical Coding Automation