#Dicom Integration Solutions Dicom and HL7 Integration Engine Dicom Interoperability

[priyanshisingh]

Healthcare IT Systems Interoperability Market Overview: Growth Factors and Future Trends (2023-2032)

The global demand for healthcare IT systems interoperability was valued at USD 3658.50 Million in 2023 and is expected to reach USD 10560.29 Million in 2032, growing at a CAGR of 12.5% between 2024 and 2032.

The Healthcare IT Systems Interoperability Market encompasses the solutions and technologies designed to ensure seamless communication and data exchange between different healthcare information systems and devices. Interoperability in healthcare IT is crucial for enabling healthcare providers to access and share patient information across various platforms, such as electronic health records (EHRs), laboratory information systems, radiology systems, and other clinical applications. The demand for interoperability solutions is driven by the need for improved patient care, enhanced operational efficiency, and reduced healthcare costs. Regulatory mandates, such as the Health Information Technology for Economic and Clinical Health (HITECH) Act and the 21st Century Cures Act, further underscore the importance of interoperability by requiring healthcare organizations to adopt standards that facilitate data exchange.

The market is experiencing significant growth due to advancements in technology, such as the adoption of cloud-based platforms, application programming interfaces (APIs), and blockchain technology, which offer secure and scalable solutions for data interoperability. Additionally, the increasing prevalence of chronic diseases, the aging population, and the need for coordinated care across multiple healthcare settings are driving the demand for interoperable systems. Healthcare providers are increasingly recognizing that interoperability is key to achieving comprehensive patient insights, improving care coordination, and enabling data-driven decision-making.

Healthcare IT systems interoperability involves the seamless exchange and utilization of health information across different healthcare information systems, devices, and applications. Here's how it works:

Standardized Data Formats: Interoperability begins with the adoption of standardized data formats and protocols. These standards ensure that data is structured in a consistent way across different systems. Common standards include HL7 (Health Level Seven International), FHIR (Fast Healthcare Interoperability Resources), and DICOM (Digital Imaging and Communications in Medicine).

Data Exchange Mechanisms: Interoperable systems use various data exchange mechanisms to share information. These mechanisms can include APIs (Application Programming Interfaces), which allow different software applications to communicate with each other. APIs enable the extraction, transmission, and reception of data between systems.

Integration Engines: Integration engines or middleware act as intermediaries that facilitate data exchange between disparate systems. They translate data formats and protocols, ensuring that information can be understood and utilized by different healthcare applications. These engines often include features for data mapping, transformation, and routing.

Electronic Health Records (EHRs): EHR systems are central to healthcare IT interoperability. They store comprehensive patient information and must be capable of exchanging data with other EHR systems, laboratory information systems, radiology systems, and other clinical applications. EHRs that comply with interoperability standards can share patient records seamlessly.

Health Information Exchange (HIE): HIE platforms facilitate the electronic movement of health information among different organizations. They provide a secure infrastructure for data sharing, enabling healthcare providers to access patient information from different sources. HIEs support the aggregation of data, making it available at the point of care.

Cloud-Based Solutions: Cloud technology plays a significant role in interoperability by offering scalable and secure data storage and exchange solutions. Cloud-based platforms allow healthcare organizations to share data more easily, regardless of geographic location, and support real-time access to patient information.

Patient Identifiers and Consent Management: Ensuring that data is accurately linked to the correct patient is critical. Unique patient identifiers help match records across different systems. Additionally, consent management systems ensure that patient data is shared in compliance with privacy regulations and patient preferences.

Security and Privacy: Interoperability solutions must incorporate robust security measures to protect sensitive health information. This includes encryption, secure access controls, and compliance with regulatory frameworks such as HIPAA (Health Insurance Portability and Accountability Act) and GDPR (General Data Protection Regulation).

Collaboration and Governance: Effective interoperability requires collaboration among various stakeholders, including healthcare providers, IT vendors, policymakers, and standards organizations. Governance frameworks help establish guidelines and best practices for data sharing, ensuring that all parties adhere to agreed-upon standards.

Analytics and Reporting: Once data is exchanged and integrated, it can be used for advanced analytics and reporting. Interoperable systems enable healthcare providers to aggregate data from multiple sources, gaining comprehensive insights into patient care, population health, and operational efficiency.

The Healthcare IT Systems Interoperability market presents numerous growth opportunities as the demand for seamless data exchange and communication between disparate healthcare systems continues to rise. The adoption of advanced standards such as Fast Healthcare Interoperability Resources (FHIR) is facilitating more efficient and flexible data sharing, creating opportunities for IT solution providers to develop compatible and innovative products. The integration of blockchain technology is also opening new avenues for enhancing data security and integrity, appealing to healthcare organizations that prioritize patient privacy and data protection. Additionally, the increasing use of artificial intelligence (AI) and machine learning (ML) to analyze healthcare data is driving the need for interoperable systems that can support advanced analytics and personalized care.

The shift towards cloud-based solutions offers scalable and cost-effective infrastructure, enabling healthcare providers to collaborate and share data more effectively. Furthermore, the proliferation of Internet of Medical Things (IoMT) devices is generating vast amounts of real-time data, necessitating interoperable platforms to aggregate and analyze this information for better patient outcomes. Regulatory support and financial incentives are also encouraging healthcare organizations to adopt interoperable systems, further expanding the market. Overall, these factors collectively create a fertile ground for growth and innovation in the healthcare IT systems interoperability market.

Key Players:

Koninklijke Philips NV

Allscripts Healthcare LLC

Oracle Corporation (Cerner Corporation)

EPIC Systems Corporation

NextGen Healthcare Inc.

Koch Software Investments (Infor Inc.)

Jitterbit

Virtusa Corporation

Orion Health Group Limited

International Business Machines Corporation (IBM)

More About Report- https://www.credenceresearch.com/report/healthcare-it-systems-interoperability-market

Innovative Trends in the Healthcare IT Systems Interoperability Market-

The healthcare industry is undergoing a significant transformation, driven by the need for efficient data exchange and seamless communication among various healthcare systems. Interoperability in healthcare IT systems is becoming increasingly vital to improving patient care, reducing costs, and enhancing the overall healthcare experience. Here are some of the innovative trends shaping the healthcare IT systems interoperability market:

1. Adoption of FHIR Standards

Fast Healthcare Interoperability Resources (FHIR) is emerging as the leading standard for healthcare data exchange. Developed by Health Level Seven International (HL7), FHIR facilitates easier data sharing across different systems by using a modern web-based approach. Its flexibility and compatibility with existing healthcare systems make it a preferred choice for ensuring interoperability.

2. Blockchain Technology

Blockchain technology is being explored to enhance data security and integrity in healthcare interoperability. By providing a decentralized and immutable ledger, blockchain can ensure that patient data is accurate, tamper-proof, and accessible only to authorized parties. This innovation can significantly reduce data breaches and improve trust among healthcare providers.

3. Artificial Intelligence and Machine Learning

AI and machine learning are playing a crucial role in analyzing and interpreting vast amounts of healthcare data. These technologies can help identify patterns and trends, enabling predictive analytics and personalized treatment plans. Additionally, AI-powered systems can facilitate more efficient data exchange by automating routine tasks and ensuring data consistency across platforms.

4. Cloud-Based Solutions

The shift towards cloud-based healthcare solutions is accelerating, driven by the need for scalable and cost-effective IT infrastructure. Cloud platforms enable seamless data sharing and collaboration among healthcare providers, regardless of their geographical location. This trend is particularly beneficial for telemedicine and remote patient monitoring, which rely heavily on real-time data exchange.

5. Internet of Medical Things (IoMT)

The proliferation of IoMT devices, such as wearables and remote monitoring tools, is creating new opportunities for interoperability. These devices generate vast amounts of real-time data that need to be integrated into healthcare systems. Interoperable platforms can aggregate and analyze this data, providing valuable insights into patient health and enabling timely interventions.

6. APIs and Open-Source Solutions

The use of Application Programming Interfaces (APIs) and open-source solutions is becoming more prevalent in the healthcare industry. APIs facilitate the seamless exchange of data between different healthcare applications, while open-source platforms provide customizable and cost-effective interoperability solutions. This trend encourages innovation and collaboration among healthcare providers and technology developers.

7. Patient-Centered Interoperability

There is a growing emphasis on patient-centered interoperability, where patients have greater control over their health data. Innovations such as patient portals and health information exchanges (HIEs) empower patients to access, manage, and share their health records with multiple healthcare providers. This approach not only enhances patient engagement but also ensures continuity of care across different healthcare settings.

8. Regulatory Support and Incentives

Governments and regulatory bodies are increasingly recognizing the importance of interoperability in healthcare. Initiatives such as the U.S. 21st Century Cures Act and the European Union's General Data Protection Regulation (GDPR) are promoting standards and practices that facilitate data exchange. Financial incentives and penalties are also being implemented to encourage healthcare providers to adopt interoperable systems.

9. Interoperability Hubs and Platforms

The development of interoperability hubs and platforms is gaining traction. These centralized systems act as intermediaries, facilitating data exchange between disparate healthcare systems. By providing standardized interfaces and protocols, interoperability hubs ensure that data is accurately and efficiently shared among various stakeholders.

10. Interdisciplinary Collaboration

The future of healthcare interoperability lies in interdisciplinary collaboration among healthcare providers, technology companies, and regulatory bodies. By working together, these stakeholders can develop and implement innovative solutions that address the complex challenges of interoperability. Collaborative efforts can lead to the creation of unified standards and practices that benefit the entire healthcare ecosystem.

Segmentation:

By Interoperability Standards

Health Level Seven International (HL7)

Fast Healthcare Interoperability Resources (FHIR)

Integrating the Healthcare Enterprise (IHE)

By Interoperability Models

Semantic Interoperability

Structural Interoperability

Syntactic Interoperability

By Health Information Exchange (HIE)

Regional Health Information Organizations (RHIOs)

Direct Messaging

Federated Query Systems

By Interoperability Solutions

Interoperability Platforms

Application Programming Interfaces (APIs)

Data Integration Tools

By Use Cases

Electronic Health Record (EHR) Interoperability

Clinical Decision Support (CDS) Interoperability

Medical Device Interoperability

Browse the full report –  https://www.credenceresearch.com/report/healthcare-it-systems-interoperability-market

Browse Our Blog: https://www.linkedin.com/pulse/healthcare-systems-interoperability-market-overview-growth-factors-opocf

Contact Us:

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Email: sales@credenceresearch.com

Website: https://www.credenceresearch.com

[vozoehr]

Mirthconnect

Mirth Connect is an open-source, cross-platform integration engine that is used for healthcare data integration. It is developed by Mirth Corporation, which is now a part of the Allscripts healthcare solutions. Mirth Connect is widely used in the healthcare industry to facilitate the exchange of health information between different systems and healthcare organizations.

Key features of Mirth Connect include:

Message Transformation: Mirth Connect allows users to transform messages from one format to another, facilitating interoperability between different healthcare systems that may use different data formats and standards.

Message Routing: The integration engine enables the routing of messages between various systems based on configurable rules. This is crucial for directing healthcare data to the appropriate destinations.

Connectivity: Mirth Connect supports a wide range of communication protocols and standards, such as HL7 (Health Level Seven), DICOM (Digital Imaging and Communications in Medicine), and various web services protocols, making it versatile in connecting different healthcare systems.

Data Mapping: Users can create maps to define how data should be translated and transformed between different systems. This is essential for ensuring that data is accurately represented and understood by the receiving systems.

Alerts and Monitoring: Mirth Connect provides monitoring tools and alerts to notify administrators of potential issues or errors in the data integration process, allowing for quick identification and resolution.

Open Source: Mirth Connect is open-source software, which means that users can access and modify the source code. This flexibility allows developers to customize the integration engine to meet specific organizational requirements.

Community Support: As an open-source project, Mirth Connect benefits from a community of developers and users who contribute to its ongoing development and provide support through forums and other online channels.

Keep in mind that information about specific software can change, so it's advisable to check the official Mirth Connect documentation or community forums for the latest and most accurate information.

[syntellisolutionsinc]

Implementing Fast Healthcare Interoperability Resources (FHIR) for Compliance

“In early March, the Centers for Medicare and Medicaid Services (CMS) and the Office of the National Coordinator for Health Information Technology (ONC) released two sets of rules on information blocking. They made two dramatic changes: patients would be able to more easily access their health information through apps, and health IT companies and providers could be penalized for failing to securely share health information.” (Med City News, 2020)

However, considering the recent pandemic, the timeline for hospitals and health IT vendors to comply has been extended by 6 months, making the new requirements in effect by 2021.

Source: MedCity News

One way for hospitals to come into compliance, is by implementing FHIR on Google Cloud using GCP.

So, what is FHIR?

Fast Healthcare Interoperability Resources (FHIR) introduced by HL7 International is a healthcare standard which enables the exchange of healthcare information electronically. FHIR sets standards to respond to the growing use of electronic health records (EHRs) and the need for patient records to be readily available, discoverable, and understandable.

What is Google Healthcare API?

The Cloud Healthcare API provides an easy solution for storing and accessing healthcare data on the google cloud platform and is committed to HIPPA compliance. Healthcare API offers managed scalability, less maintenance and is easy to implement. Healthcare API enables users to unlock significant features like data analysis, machine learning and AI. These capabilities in turn can change the future of next generation healthcare solutions. API provides easy and secured access to health care data to patients and providers both, by transforming EDI formatted data to FHIR data without the need to invest the huge capital in the development, management, and the infrastructure.

Advantages of Using Google Cloud Healthcare API

Standard Conformance

Compliance with the Privacy Regulations (HIPPA)

Data Location Control & Security

Bulk Export and Import

Scalable and Auditable

Healthcare Standards that can be Implemented using the Cloud Healthcare API

Digital Imaging and Communications in Medicine (DICOM)

Fast Healthcare Interoperability Resources (FHIR) DSTU2, STU3, and R4 standards

Health Level Seven Version 2.x (HL7v2)

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How to Implement FHIR on Google Cloud using GCP

Setup

Create a GCP account. GCP provides a free account with 300 credit dollars valid for one year.

After creating the GCP account, create a new project on Google Cloud.

Enable the Cloud Healthcare API

Enable Cloud AI Platform

Enable Cloud Pub/Sub

Enable App Engine

Cloud storage

High-Level Architecture Diagram for the Implementation of FHIR on GCP

Architectural Overview

Healthcare FHIR store will receive patient data from the user and EMR/EHR software, and then processes the data. The FHIR store will generate a notification to the Pub/Sub Topic associated with the store. That notification will trigger an invocation of Cloud Function. The Cloud Function will retrieve the Patient bundle, extract the model input parameters, invoke your TensorFlow model, and write the resulting prediction back to the FHIR store. The trained and saved tensorflow model resides in the data store bucket.

Healthcare API simplifies the integration of medical data with the existing applications and allows information technologists to focus on the hidden intelligence of the data. The continuity of care document (CCD) has the specifications intended to prepare patient records for exchange with requirements for structure, and semantics. This standard is used to identify types of information being transmitted (e.g., diagnoses, prescriptions, family history, procedures, care pathways). The implementation of CCD format can vary from EHR to EHR and has limits to send and receive information accurately. Therefore, Google Cloud Health Care API is easy to integrate with most of the EHR systems and is ready made.

  If you have questions about this integration, or need assistance, please feel free to reach out to our experts.

      Vinod Rachala, Analytics Associate

With over 2.5 years of IT experience, Vinod is passionate about discovering and delivering innovative Big Data, Data Science and Machine Learning solutions to solve critical business problems across the industry. His expertise lies in analyzing data through insightful reports, and making & communicating recommendations. He is skilled in identifying trends, usage patterns, and growth patterns that impact business decisions, defining new KPIs and tracking existing ones.

Vinod holds a Masters Degree in Computer & Information Sciences from Southern Arkansas University at Magnolia, and a Bachelors Degree in Electronics & Communication Engineering from India.

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The post Implementing Fast Healthcare Interoperability Resources (FHIR) for Compliance appeared first on Syntelli Solutions Inc..

https://www.syntelli.com/implementing-fast-healthcare-interoperability-resources-fhir-for-compliance

[technicaldr]

Healthcare providers to control all clinical content of the patient record

Turn health data into actionable, cost-saving strategies

oday’s healthcare challenges are no mystery. Hospitals and health systems are navigating the transition to value-based care while continuing to rely on traditional fee-for-service reimbursement models. Uncertainty about the future of health care in the United States is making this shift even more complex as organizations seek a path forward that conquers both known (and unknown) challenges ahead.

  The standard advice heard across the industry is to “leverage data,” but how does a health system do this? Every healthcare delivery network in the country is rich with data, but how can this resource be applied for each of your care settings, clinicians and provider groups, payers and reimbursement models, and shifting populations?

  Ensuring high quality patient care and outcomes while balancing financial realities in an evolving market requires a robust data analytics solution—one that can handle the breadth and complexity of health care today without an army of data analysts to make it work.

The 3M Performance Matrix Platform is a data analytics and performance management solution that combines 3M Health Information Systems’ decades of coding and risk-adjustment experience with the data processing power of Verily, an Alphabet company. The platform simultaneously analyzes performance in managing populations throughout your network across all visits, episodes of care and disease cohorts to:

  Automatically identify the root causes of quality issues and excess costs to strengthen performance

Prioritize system-wide problem areas using advanced intelligent data processing power Work with experienced professionals to drive sustainable behavior change and process improvement

With Verily’s big data computing power, the Performance Matrix platform applies 3M’s risk adjustment methodologies and performance measures to all available data. It then mines this enriched data to identify and prioritize key problem areas. Rather than deploying teams of data analysts, the technology does the work for you.

  Using Verily’s analytics engine and 3M’s real-world, proven methodologies, the platform helps improve performance by focusing on areas and interdependencies of preventable clinical and financial issues that stem from:

Under- and over-utilization of services or care settings

Avoidable care, such as readmissions and complications

Unnecessary costs

Post-acute services

  3M Performance Matrix analyzes aggregated data against dozens of performance measures to identify and describe the most impactful problem areas. This combination of problem prioritization and analysis helps you focus on what can be fixed, and done differently, going forward. 3M Health Information Systems

Hyland Healthcare’s enterprise imaging

Hyland Healthcare’s suite of enterprise imaging solutions allow healthcare providers to control all clinical image content—including images from specialty departments. When integrated with a clinical imaging system or EHR, clinicians and staff can view medical images in the context of the patient record from within those familiar systems.

  Eliminating departmental imaging silos improves clinical workflows, strengthens security of protected health information (PHI), enhances disaster recovery, and eases the burden of building and supporting multiple clinical imaging interfaces to the EHR. The following are core components of Hyland Healthcare’s enterprise imaging portfolio.

Acuo VNA

The Acuo Vendor Neutral Archive (VNA) provides standards-based enterprise access to medical images regardless of viewing application, offering independence from proprietary archives, and streamlining clinical workflows.

  The solution leverages technologies to support the management and sharing of medical images across the enterprise and beyond, allowing providers to assemble a comprehensive image-enabled patient record.

  With on-site, cloud, and hybrid deployment options, Acuo VNA supports business continuity and disaster recovery strategies while providing a platform for clinical content integration, interoperability, and exchange.

NilRead

NilRead, a multi-specialty, zero-footprint enterprise viewer, provides a universal vendor-independent platform for accessing a full range of DICOM and non-DICOM image data. Integrating seamlessly with most EHR, PACS, or VNA, NilRead identifies and ingests images from virtually any departmental archiving solution—whether dermatology JPEGs, data-intensive virtual pathology slides, or radiology DICOM files.

  This scalable solution is based on a zero footprint, web-based architecture, meaning only a browser is needed to launch the application. There is no software or plug-ins and images never reside on the workstation. NilRead runs on any web-enabled mobile device, tablet, or PC, providing clinicians with constant access to medical images and remarkable tools to enable collaboration across the enterprise.

PACSgear

PACSgear solutions complete the enterprise imaging framework by allowing providers to capture a variety of documents, film, photos, video, and other media and integrate them with any EHR, VNA, or PACS. Hyland Healthcare’s ModLink software uses DICOM Structured Report or HL7 measurement data from ultrasound, DEXA, and CT devices to auto-populate reports in voice recognition systems. Meanwhile, ImageLink worklist solution manages HL7 to DICOM MWL mappings, facilitating Integrating the Healthcare Enterprise (IHE) workflow for interoperability with existing PACS.

PACSgear connectivity offerings:

PACS Scan, PACS Scan Mobile, PACS Scan Film, PACS Scan Web, EHR Gateway, ModLink, Media Writer, Gear View QC, MDR Video – Touch, ScopeCap, DICOM Box, and Image Link. Hyland Healthcare

Alliance Community Hospital first MEDITECH customer to deploy CommonWell Services

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  MEDITECH is the first EHR vendor in CommonWell to deploy the Argonaut Project’s FHIR specifications to customers for the purpose of document exchange, providing near real-time access to a participating patient’s data. Embedded directly into the MEDITECH EHR, these CommonWell services include patient enrollment capabilities and C-CDA exchange, opening the door for more comprehensive sharing of discrete segments of data in the future, such as medication and allergy data.

  Today, more than 9,300 provider sites are Live on CommonWell services across the nation, and more than 30 million individuals are enrolled..

  Accelerate and improve patient care anytime, anywhere with secure mobile app AlertView

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  AlertView makes healthcare more efficient by eliminating unnecessary delays in the review of imaging reports. The AlertView app instantly sends a text message to referring physicians, radiologists, or cardiologists alerting them that a report is ready for review. No matter where they are, they can review with one click on the text message, and have this instantly shared with other medical care professionals. This type of mobile communication and collaboration improves patient outcomes while minimizing disruptions for primary care physicians and hospital staff.

  The app’s features include secure login with TouchID, a dynamic patient list to enable quick searches, extensive filtering including modality and time filters, a convenient basic report view along with an in-depth full report view, display of all key images in the study, and enhanced data security through deep linking

Technical Dr. Inc.'s insight:

Contact Details :

inquiry@technicaldr.com or 877-910-0004 www.technicaldr.com

[android-for-life]

"Google Cloud for Healthcare: new APIs, customers, partners and security updates"

Google Cloud’s goal for healthcare is very much a reflection of Google’s overall mission: to organize the world’s information and make it universally accessible and useful. Applying this mission to healthcare means using open standards to help enable data sharing and interactive collaboration, while also providing a secure platform. Just imagine if all healthcare providers could easily, securely and instantaneously collaborate while caring for you. Ultimately, we hope that better flow of data will inspire new discoveries with artificial intelligence (AI) and machine learning (ML), leading to insights that improve patient outcomes.

This week at HIMSS we’re showcasing our progress toward serving this mission through our Google Cloud Platform (GCP), G Suite and Chrome solutions, our work with customers and partners, and our focus on compliance and security.

Unlocking data with the new Cloud Healthcare API

We’ve recently launched the new Cloud Healthcare API, which addresses the significant interoperability challenges in healthcare data. The new API provides a robust, scalable infrastructure solution to ingest and manage key healthcare data types—including HL7, FHIR and DICOM—and lets our customers use that data for analytics and machine learning in the cloud.  

As part of our early access launch, we’re already working with a group of customers and partners, including the team at the Stanford School of Medicine. Here’s what Somalee Datta, Ph.D., Stanford School of Medicine Director of Research IT, had to say about our work together:

"Open standards are critical to healthcare interoperability as well as for enabling biomedical research. We have been using the Google Cloud Genomics API for a long time and are very excited to see Google Cloud expanding its offerings to include the new Cloud Healthcare API. The ability to combine interoperability with Google Cloud’s scalable analytics will have a transformative impact on our research community."

Our goal with the Cloud Healthcare API is to help transform the healthcare industry through the use of cloud technologies and machine learning. Healthcare is increasingly moving to the cloud, and the adoption of machine learning will allow the industry to unlock insights that can lead to significant clinical improvements for patients. The Cloud Healthcare API is currently available in an early access release, but over the next year, we plan to roll it out to more customers and partners—let us know if you’re interested.  

In addition to the the Cloud Healthcare API, we have a long history of supporting open APIs directly on GCP. Our Cloud Genomics API has provided an implementation of the Global Alliance for Genomics & Health APIs for many years now. Through an API-first approach, we can help healthcare enterprises simplify data interoperability by providing a strong foundation with cloud infrastructure and services. For example, Apigee enables healthcare enterprises to manage and deploy FHIR (Fast Healthcare Interoperability Resources) APIs on top of their existing electronic health record systems.  

How our healthcare customers are using Google Cloud

Beyond our work on APIs, our approach is to give healthcare customers the tools they need to accelerate projects in areas like population health, personalized medicine and clinical research. At HIMSS we’ll talk in more detail about how our customers are using Google Cloud. Here are a few examples:

M*Modal is working with Google Cloud to reinvent the experience of healthcare and mitigate widespread physician burnout. The collaboration leverages M*Modal’s success in adoption of its physician-assistive, AI-based solutions with Google Cloud’s expertise in AI at scale to align innovation with market needs. M*Modal solutions deliver AI-powered, real-time contextual understanding and more enhanced, actionable insights from clinical data to the doctor directly at the point of care.

Lahey Health is making the move to G Suite for its many benefits, including innovation, scalability, collaboration, security and productivity. From the security perspective, they chose G Suite for our team of dedicated security professionals, malware scanning for early detection of global campaigns, and secure end-to-end infrastructure that has built-in protections across many layers.

The Chilean Health Ministry is using Google Cloud’s Apigee platform to provide a nationwide API-based connectivity to help ensure data, applications and services are easily, yet securely, available when and where needed. This connectivity helps secure access to patient information, regardless of whether it’s needed in one of Chile’s 1,000 remote medical facilities or in one of its connected health centers.

Cleveland Clinicis using Google Cloud’s Apigee platform to realize the full potential of their underlying electronic medical record through FHIR APIs. Using a secure, scalable and industry-grade API platform, Apigee allows Cleveland Clinic to enable, augment and extend functionality of their EHR. It’s also enabling them to run advanced analytics and ML-based predictive models, revealing insights to clinicians that help them deliver improved patient care.

Rush University Medical Center is also using Apigee to enhance many aspects of patient care and patient experience. They're looking to optimize scheduling, identify excess costs, reduce emergency department wait times, reducing readmissions and identifying and predicting cybersecurity threats using Google Cloud's capabilities in AI and ML.

Color is using Variant Transforms—a new open source tool we recently released that helps export genomic variants directly into BigQuery—to discover new capabilities for their cancer diagnostic service. When the Broad Institute of MIT and Harvard first brought the GATK Best Practices pipeline to GCP in 2015, it was $45 to analyze a single genome. Since then, Broad has steadily brought down the cost to a little over $5 by optimizing its use of GCP, while maintaining (and even improving) the quality of the output, and has recently made this same pipeline—at the same cost—available to researchers around the world.

Middlesex Hospital and Chapters Health System are using Chrome to provide a secure, future-proof entry point to the cloud, connecting their staff to data-driven systems so they can focus on what’s most important: delivering great patient care.

How we're working with partners

Partners are essential to the work we do with healthcare customers. Here are a few that we’re talking about at HIMSS:

Flex introduced BrightInsight, a secure, managed services platform running on GCP. BrightInsight aggregates data to deliver real-time intelligence and optimize the value of connected drug, device or combination products. It’s designed to support CE-marked and FDA-regulated medical devices, combination products and Software as a Medical Device requirements for pharmaceutical and medtech companies. Flex is partnering with Google Cloud to deliver insights with customizable analytics dashboards that take advantage of our advanced machine learning and AI capabilities.

Imagia is transforming the way researchers can investigate disease characterization, progression and treatment response.

To address the increased demand for genomics, Kanteron Systems has introduced telegenomics on GCP as an addition to its Precision Medicine Platform.

Client Outlook has integrated their eUnity medical imaging viewer with the new Cloud Healthcare API, enabling them to provide a seamless visualization experience for medical images stored on GCP.

WuXi NextCODE’s massively scalable genomics database management system and clinical and research applications will be available to all Google Cloud users later this year.

And, on the hardware front, with Chrome solutions and technology partnerships, we’re also announcing a new collaboration between Healthcast, Citrix and Chrome OS that aims to provide a more secure and economical approach to data access. In another example, using VMware’s Digital Clinical Workspace and Point of Care solutions with a Chromebook allows users to securely access sensitive data and apps.

How we’re focusing on security and compliance

We can’t talk about improving healthcare without addressing security and compliance. We’re continuing to expand HIPAA compliance coverage across G Suite and GCP. Today, we announced that Google App Engine and Cloud Machine Learning Engine are covered, joining more than two dozen other HIPAA-compliant GCP services

http://ift.tt/2mWH4pB

, including Google Compute Engine, Google Cloud Storage and BigQuery.

Come by and say hello at HIMSS

There have been a lot of developments in our work in healthcare over the last year. We’re excited to be back at HIMSS and looking forward to working with everyone there. Stop by our booth and check out our sessions if you’re at HIMSS this week.

Source : The Official Google Blog via Source information