Healthcare interoperability, the ability of different healthcare systems and applications to seamlessly exchange and use patient health data, is critical to advanced, precise, and personalized healthcare. Data interoperability is crucial to advanced, precise, and personalized healthcare; however, achieving interoperability has been a significant challenge due to the complex nature of healthcare data and the multitude of systems and standards used across different healthcare organizations. With the emergence of artificial intelligence (AI) and machine learning (ML) technologies, AI-based APIs can be leveraged to enable interoperability by facilitating the exchange and use of healthcare data between different systems and organizations.
This Frost & Sullivan study explores key technological advancements that enable healthcare interoperability, including Natural Language Processing (NLP), Generative AI, and Conversational AI. These applications convert unstructured medical information into structured digital text that adheres to Fast Healthcare Interoperability Resources (FHIR) and Health Level Seven (HL7) standards. This structured data can be interpreted by multiple health systems and seamlessly integrated into commonly used electronic health records (EHRs). These technologies facilitate secure and efficient data sharing, consent management, and analysis, ultimately improving healthcare outcomes.
The study also highlights the importance of partnerships and collaborations in driving interoperability initiatives. It discusses the challenges and considerations of implementing interoperability solutions, such as data privacy, security, and regulatory compliance.
In addition, the study provides insight into the potential for growth and innovation in healthcare interoperability by analyzing industry trends and emerging growth opportunities. It aims to guide healthcare organizations, technology providers, and policymakers in harnessing the power of interoperability to transform healthcare delivery, enhance patient care, and enable data-driven decision-making.
Why Is It Increasingly Difficult to Grow?The Strategic Imperative 8™: Factors Creating Pressure on Growth
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on the Healthcare Interoperability (HI) Industry
Growth Opportunities Fuel the Growth Pipeline Engine™
Research Methodology
Business Value and User Benefits Increase from Foundational to Structural to Semantic Interoperability
Top-tier Industry Participants Recognize HI’s Benefits
HL7 Protocols (FHIR, for example) are the Most Adopted HI Standards for Structural Interoperability
FHIR Empowers Healthcare Providers with Real-time Access to Patient Information
FHIR Seamlessly Connects Different Healthcare Systems or Devices, Applications, and Stakeholders
HCC Helps Organizations Overcome HI Challenges
Scope of Analysis
Emerging Technology Segmentation
Growth Drivers
Growth Restraints
The Growth of AI/ML-based Healthcare Applications is Improving HI
AI-based APIs Convert and Rearrange Medical Information into Structured Comprehensive Digital Text that can be Used across Systems: Challenges and Benefits
AI-based APIs Convert and Rearrange Medical Information into Structured Comprehensive Digital Text That can be Used across Systems: Applications and Examples
Google Cloud NLP-based Healthcare Engine
Microsoft Azure’s OpenAI Service’s Integration with Epic's EHR Platform
Nuance’s Digital Engagement Solutions’ Integration with Microsoft’s Digital Contact Center Platform
Regional Insight: Industry Implementing Healthcare Interoperability
Future AI-based APIs will be More Platform and Device-Agonistic, Reducing the Limitations Imposed by Existing Solutions
Future AI-based APIs will be More Platform and Device-Agonistic, Reducing the Limitations Imposed by Existing Solutions (continued)
Collaborations to Deploy Generative AI-based Interoperable Platforms across Healthcare Organizations for Effective Healthcare Delivery
Collaborations to Deploy Generative AI-based Interoperable Platforms across Healthcare Organizations for Effective Healthcare Delivery (continued)
Significant Rise in Funding to Create Truly Interoperable Solutions for the Provision of Value-based Care
Growth Opportunity 1: Omnichannel Data Sharing and Analytics
Growth Opportunity 1: Omnichannel Data Sharing and Analytics (continued)
Growth Opportunity 2: Convergence of AI-API with Blockchain Devices and IoMT Connectors
Growth Opportunity 2: Convergence of AI-API with Blockchain Devices and IoMT Connectors (continued)
Growth Opportunity 3: HCC to Improve Interoperability
Growth Opportunity 3: HCC to Improve Interoperability (continued)
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| Deliverable Type | Technology Research |
|---|---|
| Author | Swati Mishra |
| Industries | Healthcare |
| No Index | No |
| Is Prebook | No |
| Keyword 1 | Interoperability In Healthcare |
| Keyword 2 | Healthcare Technology |
| Keyword 3 | Innovation In Healthcare |
| Podcast | No |
| WIP Number | DAA9-01-00-00-00 |
Healthcare Interoperability: Technology Innovation and Growth Opportunities
AI-based API Innovation is Improving Healthcare Data Management and Analysis.
31-Jul-2023
Global
Technology Research