Whole Person Care (WPC) requires a robust digital backbone to connect clinical, behavioral, and social care securely and efficiently. The hidden heroes? FHIR, computable consent, and AI-ready data.
What Technologies Enable Whole Person Care?
To deliver coordinated, personalized care, health systems must overcome data silos, privacy concerns, and legacy systems. That’s where the following three pillars come in:
1. FHIR: The Data Standard That Makes Sharing Possible
FHIR (Fast Healthcare Interoperability Resources) is the global standard for securely exchanging health information across systems. It allows:
- Real-time data sharing between hospitals, clinics, and community organizations
- Structured access to clinical, behavioral, and social determinants of health (SDOH) data
- Plug-and-play APIs that simplify integration with EHRs, care management tools, and housing databases
Example:
California’s Care Everywhere platform and Chicago’s Consent Service Utility both use FHIR to connect data from multiple sources.
2. Computable Consent: The Foundation of Trust
What is computable consent?
It’s a digital framework that captures and enforces a person’s permissions for how their sensitive data is shared. The most advanced version of computable consent is currently under development by HL7 FHIR and is in a trial-use phase. This is critical when dealing with:
- Substance use disorder data (regulated by 42 CFR Part 2)
- Behavioral health records
- Housing and social service data
Why It Matters:
- Respects individual preferences (opt in/out of specific data types)
- Enables cross-sector collaboration without violating privacy laws
- Builds trust with vulnerable populations, who may fear misuse of sensitive information
Example:
The Cook County CIE used a FHIR-based Consent Service Utility that allowed patients to control which parts of their record could be shared across housing, healthcare, and behavioral systems.
3. AI & Automation: From Reactive to Proactive Care
AI tools power the shift from episodic treatment to preventive, personalized care by:
- Extracting SDOH from clinical notes (e.g., food insecurity, unsafe housing)
- Predicting high-risk individuals using federated learning, without violating HIPAA
- Triggering care team alerts when someone enters the ER or misses appointments
- Reducing provider burnout by automating documentation and triage
Example:
The United States Department of Veterans Affairs (VA)’s Whole Health System used AI to tailor personal health plans aligned with veterans’ life goals, helping save $4,500+ per veteran annually.
How Do These Technologies Work Together?
Technology & Role in WPC
- FHIR - Enables structured, secure data exchange
- Computable Consent - Manages patient privacy and sharing rules
- AI Tools - Powers automation, risk stratification, and insight generation
Together, they create a scalable digital ecosystem that supports holistic, human-centered care.
Challenges in WPC Tech Implementation
- Privacy laws like HIPAA and 42 CFR Part 2 are often interpreted too conservatively.
- Siloed data systems (e.g., EHRs vs. Homeless Management Information Systems)
- Low digital maturity in community-based organizations
- Staff burnout and training gaps for new tools
