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Guarantee practical access, cut administrative waste, make health data portable, and deploy telehealth and AI only when they improve measurable care.
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AI-researched, unverifiedLast Reviewed
Jul 5, 2026
Cited Sources
9
What is failing, what we would change, and the conclusion we are willing to defend.
"Revolutionizing healthcare" should not mean a slogan with no delivery mechanism. The United States spent $5.3 trillion on health care in 2024, 18.0 percent of GDP, while CDC's latest FastStats still counted 28.0 million people under 65 uninsured in 2025. A system can be expensive, innovative, and still fail patients if coverage, records, prior authorization, workforce, and prices do not work at the point of care.
The current reality gives the party a better frame than the 2024 source material. CMS has a prior authorization and interoperability rule with 2026 and 2027 deadlines. TEFCA is becoming a national network-of-networks for health information exchange. Medicare telehealth flexibilities are extended through December 31, 2027. Hospital price transparency has moved from broad posting requirements to more standardized machine-readable files and 2026 enforcement. HHS is pushing AI across health care and agency operations, while its own AI strategy recognizes governance, risk management, privacy, and public trust as requirements.
Treat universal practical access as the goal: every person should be able to get primary, behavioral, emergency, reproductive, preventive, and chronic care without insurance status or geography making care unusable.
Enforce interoperable health data. CMS's API deadlines, TEFCA exchange, information blocking rules, and patient access rights should be measured by whether patients and clinicians can actually use records across systems.
Cut administrative waste with enforceable prior authorization timelines, electronic requests, denial transparency, appeal rights, and audit penalties for automated denials that do not meet clinical standards.
Keep telehealth where it improves access, including rural and behavioral health, while measuring quality, fraud, continuity, and patient outcomes for every delivery channel.
Use AI as clinical and administrative assistance, not hidden authority. High-impact health AI should require pre-deployment testing, impact assessment, independent review, monitoring, appeal paths, and clear liability.
Build workforce capacity through primary care, nursing, behavioral health, rural practice, residency slots, loan repayment, and scopes of practice tied to training and safety.
The party does not need to pick the least-detailed version of left or right health policy. It can make the operational claim: care should be available, records should move, prices should be usable, denials should be accountable, and technology should earn its place by improving outcomes.
Turn frustration into useful pressure.
If this position misses evidence or a lived consequence, challenge it. If it holds up, help test it locally and connect it to the issues around it.