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Healthcare is shifting from a place you go to a system that surrounds you.
As we turn the page from 2025 into 2026 and beyond, we’re moving past simply digitizing yesterday’s workflows and into an era of real reinvention- where data, AI, and new care models converge and start to change the operating system of health itself.
Here is the arc of the possible as we move from NOW → NEAR → NEXT
•Sick Care → Health Care → Self-Health/Health Creation
Moving from reacting to disease to actively building capability, literacy, and tools so people can manage more of their health day-to-day.
•Episodic → Continuous → Predictive / Preemptive
From snapshots to signals: where we catch trajectory shifts early and intervene before “diagnosis day.”
•Physical → Virtual → Phygital + Ambient Care
Care won’t be confined to the clinic. Hybrid becomes default, and “ambient” care fades into the background—always-on, low-friction, context aware.
•One Size Fits All → Personalized → Adaptive (Real-Time) Precision
Personalization is step one. The leap is dynamic care plans that adjust in real time—dose, behavior, coaching, follow-up—based on data + context.
•Provider → Crowdsourced → Collective Intelligence (Networked Care)
Expertise becomes distributed: clinicians + communities + protocols + data networks learning together, not in silos.
•Human Cognition → AI-Enhanced → AI + Agentic Orchestrated (Copilot Teams)
We’re moving beyond “AI that writes notes” to copilots that coordinate care loops—triage, follow-up, prior auth, scheduling, escalation—freeing humans for judgment, empathy, and trust.
•Fee for Service → Fee for Outcome → Fee for Healthspan
The long game is aligning incentives around sustained function, prevention, and longevity—shared value for keeping people well.
My take: in 2026, the bottleneck won’t be model capability. It’ll be workflow integration, trust, governance, and getting incentives aligned (not to mention biomedicine funding challenges and improving trust in science).
More @NextMedHealth
As we turn the page from 2025 into 2026 and beyond, we’re moving past simply digitizing yesterday’s workflows and into an era of real reinvention- where data, AI, and new care models converge and start to change the operating system of health itself.
Here is the arc of the possible as we move from NOW → NEAR → NEXT
•Sick Care → Health Care → Self-Health/Health Creation
Moving from reacting to disease to actively building capability, literacy, and tools so people can manage more of their health day-to-day.
•Episodic → Continuous → Predictive / Preemptive
From snapshots to signals: where we catch trajectory shifts early and intervene before “diagnosis day.”
•Physical → Virtual → Phygital + Ambient Care
Care won’t be confined to the clinic. Hybrid becomes default, and “ambient” care fades into the background—always-on, low-friction, context aware.
•One Size Fits All → Personalized → Adaptive (Real-Time) Precision
Personalization is step one. The leap is dynamic care plans that adjust in real time—dose, behavior, coaching, follow-up—based on data + context.
•Provider → Crowdsourced → Collective Intelligence (Networked Care)
Expertise becomes distributed: clinicians + communities + protocols + data networks learning together, not in silos.
•Human Cognition → AI-Enhanced → AI + Agentic Orchestrated (Copilot Teams)
We’re moving beyond “AI that writes notes” to copilots that coordinate care loops—triage, follow-up, prior auth, scheduling, escalation—freeing humans for judgment, empathy, and trust.
•Fee for Service → Fee for Outcome → Fee for Healthspan
The long game is aligning incentives around sustained function, prevention, and longevity—shared value for keeping people well.
My take: in 2026, the bottleneck won’t be model capability. It’ll be workflow integration, trust, governance, and getting incentives aligned (not to mention biomedicine funding challenges and improving trust in science).
More @NextMedHealth
