AI and FHIR Interoperability Advance EHR: A Path to Better Access and Lower Costs
New Scholarly Articles Spotlight AI's Promise and the Future of EHR Interoperability
Summary
PQT Health released scholarly papers showing how AI and interoperable Electronic Health Records (EHRs) can help cut costs, expand access through telehealth, and enable small practices to achieve large-system outcomes.
Details
According to PQT Health, two peer-reviewed works by Gregory Parker, Ph.D., et al., chart a practical path for healthcare leaders adopting AI and modernizing EHRs. One paper details how AI can elevate diagnosis, personalize treatment, streamline workflows, and harden cybersecurity, while also addressing ethical concerns like bias and transparency. The companion article focuses on unlocking EHR value through FHIR-based interoperability and cloud architectures that reduce data silos. Key insights include: 1) Clinical acceleration paired with guardrails (bias mitigation, explainability); 2) Interoperability using standards like FHIR® and SMART-on-FHIR for safer data liquidity across settings; 3) Utilizing Cloud + privacy by design for centralized records while maintaining compliance; and 4) Using standardized EHR data for population health and research. These findings support PQT Health's mission to provide secure, interoperable, and easy-to-deploy AI-assisted mobile EHR solutions, ensuring equitable care access, especially in rural and underserved communities.
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