Fragmented care—the failure of clinical information and clinical accountability to follow the patient across care settings—is among the most consequential and well-documented structural failures of modern healthcare systems. Transitions between home, community care, emergency services, hospital, and post-acute care represent high-risk intervals during which information is lost, medications are duplicated or omitted, clinical context is unavailable, and accountability gaps create opportunities for preventable harm. Artificial intelligence, operating on a foundation of interoperable health data exchange standards, offers a practical path to coordinated care that maintains clinical continuity across all settings and providers involved in a patient’s care journey.
Interoperability as the Foundation
AI-mediated care coordination depends fundamentally on data interoperability—the technical capacity of health information systems across settings to exchange patient data in a standardised, machine-readable format. HL7 FHIR (Fast Healthcare Interoperability Resources), now mandated for EHR data exchange under the US 21st Century Cures Act and widely adopted under the EU European Health Data Space (EHDS) framework, provides the standardised API layer that enables connected platforms to retrieve and write patient data across institutional and national boundaries. FHIR-native platforms that implement the complete patient record as a FHIR resource set—including Observation (vital signs, lab results), Condition (diagnoses), MedicationRequest (prescriptions), AllergyIntolerance, Procedure, and Encounter resources—provide the technical prerequisite for AI care coordination at scale. MEDPOI® (medpoi.com) is engineered around FHIR R4 compliance, ensuring that patient medical folder data can flow seamlessly to and from any FHIR-capable system in the care network, from community GP systems to hospital EHRs to home monitoring devices.
AI-Mediated Transitions of Care
Care transitions—the moments when a patient moves from one care setting or provider to another—are the highest-risk intervals for information loss and medication error. AI systems that monitor the patient’s care status across settings and generate context-specific transition summaries (discharge summaries, referral letters, handover briefings) tailored to the receiving care setting and the patient’s active issues substantially reduce the cognitive burden on the clinician initiating the transition and the information gap experienced by the receiving provider. Automated medication reconciliation—comparing the patient’s current medication list against prescriptions from all active care providers and flagging discrepancies, omissions, or interactions—is among the highest-value AI care coordination applications, with published studies demonstrating 40–65% reductions in unintentional medication discrepancies at hospital discharge when AI reconciliation tools are used versus standard pharmacist reconciliation alone.
The CAREPOI® Connected Care Vision
The connected care architecture that CAREPOI® is building through its portfolio of AI health platforms realises this coordination vision across the full spectrum of care settings. TELECARE® provides the continuous home monitoring layer—generating the longitudinal physiological record that constitutes the most data-rich component of many patients’ clinical picture. MEDPOI® provides the intelligence core—the AI-powered medical folder that aggregates, synthesises, and makes available all clinical data from all settings, serving as the interoperability hub that connects home monitoring, community care encounters, and hospital episodes into a single, coherent patient record. ERTRIAGE® provides the emergency endpoint—the AI triage platform that receives the full MEDPOI® medical folder context at the moment of emergency presentation, ensuring that the emergency clinician has access to the complete clinical story of the patient they are treating. Together, these three platforms represent an integrated continuum of AI health intelligence that accompanies the patient across their entire healthcare journey—from daily vital measurement at home to accurate, data-enriched triage and diagnosis at the emergency room, and back to monitored, supported recovery at home.