Tech Giants Join Forces to ‘Make Health Tech Great Again’Here’s What Happens Next

The White House and CMS recently launched a sweeping initiative aimed at building a patient-centric digital health ecosystem. Called the Make Health Tech Great Again initiative, it secured commitments from more than 60 leading technology, healthcare, and data-sharing organizationsincluding Amazon, Apple, Google, OpenAI, CVS Health, UnitedHealth Group, Epic, and major EHR networks.

The dual goals are:

Voluntary interoperability standards, anchored in a CMS Interoperability Framework.
Expansion of patient-facing tools, including chronic care apps, conversational AI assistants, and digital check-in systems.

What’s New: Highlights of the Initiative

A voluntary blueprint enables health networks, EHR systems, and app providers to align around FHIR-based standards for secure data exchange.
Over 20 networks pledged alignment by early 2026, promising real-time patient access and provider directory integration.
More than 30 companies committed to building apps supporting diabetes and obesity management, symptom checking, and digital workflows to eliminate paperwork.
The system is opt-in and decentralized, meaning patients opt in and no government database is created.

Why This Matters

The initiative represents a major policy shift:

Broad public-private collaboration leverages a standards-based ecosystem that avoids bureaucratic mandates.
Patient control is centralindividuals consent to share data between devices, providers, and apps.
AI and tech innovation are embedded, with conversational assistants and analytic tools positioned to enhance care coordination.
Privacy and ethical concerns loom large, given gaps in app regulation, potential for data misuse, and a history of controversial data handovers.

Expanded Professional Insights

Global Open Health Data Comparisons

Region	Approach	Learnings for U.S.
UK / EU	PSD2-like mandates, standardized APIs	Demonstrates benefits of legal standardization
Australia	Consumer Data Right (finance, health)	Multi-sector portability with privacy controls
India	Account aggregator model via APIs	Government-moderated, consent-driven access

Technical & Regulatory Infrastructure Needs

Healthcare systems must deploy FHIR-enabled API gateways, secure digital identity verification, and provider directory integration.
Governance controls are vital: audit logging, encryption, consent tracking, vendor risk oversight.
Regulatory alignment: Ensure ongoing compliance with HIPAA, FTC Safeguards Rule, state privacy laws (e.g., California), and state breach notification mandates.

Ethical, Privacy & Risk Considerations

Ensure clear patient consent workflowsincluding data revocation options and information on who gains access.
Implement robust vendor vetting and contractual controls to mitigate liability for third-party misuse.
Require encryption-in-transit, secure authentication, breach notification procedures, and explicit prohibition of monetization of health data without consent.

Early Use Cases & Innovation Highlights

Diabetes and obesity management apps: Noom and Virta Health will integrate data from EHRs and fitness apps to deliver personalized guidance.
Conversational virtual assistants: Designed for symptom triage, care navigation, and appointment scheduling, replacing static portals.
Digital intake workflows: Hospitals and providers aim to eliminate paper forms through QR-driven check-in systems and streamlined onboarding.

Recent Relevant Developments

News reports confirm rolling deployments of the private health tracking system, expected by early 2026.
Discussion continues around legal structures to govern the system’s data sharing and privacy controls.
Healthcare leaders are comparing this initiative to global data-sharing models, noting its emphasis on consent and avoided central databases.

Strategic Guidance for Stakeholders

Providers and Health Systems

Map digital data sources and workflow gaps.
Engage with CMS-aligned networks to plan system integrations.
Educate patients about data sharing consent and access protocols.

Health Tech Vendors

Align app design with interoperability and privacy standards.
Prepare to stress test digital health tools using simulated CMS-aligned APIs.
Build consent-first, HIPAA-compliant interfaces.

Regulatory and Policy Teams

Provide feedback during CMS’s request-for-information (RFI) process.
Advocate for consumer protections and transparent governance frameworks.
Review consent revocation paths and data ethics mechanisms.

Privacy Advocates

Monitor systems to ensure transparency, opt-in clarity, and strong safeguards.
Push for oversight mechanisms on misuse and data retention practices.
Track potential commercial or non-health uses of collected data.

Actionable Roadmap For Success

Perform a comprehensive data systems audit (EHRs, apps, wearables).
Design consumer consent policies that are transparent and revocable.
Pilot AI tools for chronic care management in partnership with aligned networks.
Secure provider directory and identity verification integration.
Engage in public comment cycles and offer feedback to CMS.
Educate patients and staff on how to access and manage data securely.

Compliance Readiness Checklist for Healthcare Leaders

Governance and Policy Controls

Establish formal data-sharing policies aligning with HIPAA, FTC Safeguards Rule, and state privacy laws.
Implement data retention schedules to minimize risk exposure.
Require vendor agreements with Business Associate provisions where applicable.

Technical Security Measures

Deploy FHIR-compliant API endpoints secured with OAuth 2.0 authentication.
Enforce encryption-in-transit and at-rest protocols across all patient data flows.
Integrate real-time anomaly detection to flag suspicious API calls.

Patient Consent and Transparency

Design clear opt-in/opt-out workflows with visible explanations of data uses.
Implement patient dashboards for data access and consent revocation.
Provide annual transparency reports detailing third-party data interactions.

Workforce Training

Conduct role-specific training for clinical, IT, and administrative staff on digital health compliance.
Educate staff on handling cross-platform data requests, including consent verification.

Audit and Oversight

Schedule quarterly compliance audits for API endpoints and vendor integrations.
Include independent penetration testing to identify vulnerabilities.
Maintain incident response playbooks tied to breach notification regulations.

Case Studies: Early Adopters Leading Transformation

Case Study 1: Cleveland Clinic’s Interoperability Drive

Cleveland Clinic piloted FHIR-based data sharing between Epic’s EHR and patient wearables.

Outcome: 15% improvement in chronic disease monitoring adherence.
Key Takeaway: Early API alignment boosted both patient engagement and physician decision support.

Case Study 2: Kaiser Permanente’s Digital Intake System

Kaiser replaced paper-based check-ins with QR-driven digital workflows linked to health records.

Outcome: Reduced administrative errors by 40% and decreased check-in times by 25%.
Key Takeaway: Investing in streamlined intake improves efficiency and data accuracy.

Case Study 3: Mayo Clinic’s AI Symptom Checker Integration

Mayo deployed an AI-driven chatbot integrated with CMS-aligned health data standards.

Outcome: 60% of non-urgent inquiries resolved digitally, easing call center loads.
Key Takeaway: Patient-facing AI tools can safely offload routine queries while maintaining compliance.

Scenario-Based Risk Assessment

Scenario 1: Vendor Breach of Data Handling Rules

Risk: A third-party app misuses patient data for marketing.
Impact: HIPAA fines, patient trust erosion, litigation risk.
Mitigation:

Require vendor certifications of compliance.
Enforce periodic third-party audits and breach reporting clauses.
Establish automated data use monitoring tied to contractual obligations.

Risk: Patients report confusion over consent revocation for shared apps.
Impact: Regulatory penalties under HIPAA or state privacy laws.
Mitigation:

Build clear, single-click consent revocation paths.
Add real-time notifications confirming consent status changes.
Conduct usability testing to ensure patient understanding.

Scenario 3: Interoperability Gaps Between Networks

Risk: CMS-aligned network adoption is uneven; data silos persist.
Impact: Fragmented care coordination, potential clinical errors.
Mitigation:

Pilot test data exchanges between multiple networks pre-launch.
Mandate participation incentives in payer/provider contracts.
Set internal KPIs for successful multi-network integration.

Executive Action Plan for Health System Boards

Board-Level Oversight: Assign a cross-functional task force integrating compliance, IT, and clinical leadership.
Investment Prioritization: Fund EHR API upgrades, consent infrastructure, and secure data exchange frameworks.
Stakeholder Engagement: Host community sessions to build patient trust in new health data tools.
Metrics Tracking: Monitor KPIs like digital intake adoption rates, patient consent engagement, and secure API usage.
Regulatory Advocacy: Participate in CMS feedback rounds to influence final technical specifications.

Conclusion: Positioning for Compliance Excellence

Healthcare leaders must view the Make Health Tech Great Again initiative not as an optional tech upgrade but as a compliance-driven evolution of care delivery. Aligning governance frameworks, investing in technical readiness, and proactively managing vendor ecosystems will minimize risk while leveraging the program’s benefits.

By combining strong oversight, patient-first design, and early adoption, organizations can lead in building the secure, connected, and patient-centric health data ecosystem envisioned by CMS and the White House.