Ai65 Briefing: The role of Clinician + Ai Hybrid Models
Today, we question if it's good care? 40 years from now, we’ll know it.
Audience: Clinicians, Hospital Administrators, Healthcare Executives
Overview:
From today to 40 year horizon and back:
AI-enabled tools already try to relieve the administrative burden on clinicians.
Early pilots across major hospitals show documentation time fell by up to 30%
But Ai adoption remains low. In 40 years, Ai will be as common as the doctor’s stethoscope with no question of its positive impact on quality of care.
Why this matters now
(what’s at stake):
Early Ai pilot success and experience with healthcare professionals is the essential step today to enable the Ai augmentation in the future. These activities today allow the progress to enable clinicians of the future with more quality time with patients while saving health system costs. Many key areas of patient care execution including scheduling, documentation, billing, medication reminders, and monitoring can benefit from more accuracy and efficiency than our current manual processes from the past. Delays today reduce capability and competitive success tomorrow.
Key takeaways:
AI can spot more bone fractures than humans can. AI tools detect 64% of epilepsy brain lesions previously missed by radiologists. (a)
Ai digital platforms today reduced time needed to review patients by as much as 40% (b)
Acute monitoring with Ai in skilled nursing reduces falls, rehospitalizations by identifying “subtle changes in resident condition and flags potential risks early so teams can take action before a situation escalates” (c)
Ai investment is expanding. The universal goal - transforming the way health care is delivered, leveraging technology to put patient care first, led by human clinicians assisted by Ai. NewYork–Presbyterian, a leader in AI implementation, “has around 120 AI initiatives across clinical and nonclinical areas”.
Despite concerns that Ai investment in Healthcare is falling behind, Healthcare providers are actually investing at a level consistent with other industries. As well, healthcare is well supported by a vibrant healthcare IT Service marketplace.
Barrier: Clinician “trust” remains the biggest barrier to Ai adoption (technology is ready)
No doubt we see some good momentum and success for Ai in Healthcare, but distrust and resistance are an issue. As NIH has said, “the potential benefit of new technology and AI-driven systems in healthcare must be carefully weighed against harms”.
We can’t close our eyes to the transformative power of Ai. Instead, we must embrace Ai - in the 40 year view - it is coming no matter what. Viewing with a 40-year horizon, the productivity enhancement, delivered at both enterprise levels and small &medium businesses, will be impossible to resist. Ultimately technology will converge to deliver Ai workflow facilitation. What that means and the extent to which AI assistance will be implemented will depend on the amount of experience each company develops today and forward. There’s no better time to start than today.
Conclusions:
Technically, Ai will need a balance of “predicatability”and “explainability”. Predictable results give clinicians trust in accuracy and effectiveness. Explainable process and data transparency to give clinicians trust in non biased and human care driven assistance.
Open dialogue about which Ai tools and how they will be used in Healthcare. Benefits in medical imaging, drug discovery efficiency are without question. But areas of virtual assistance (Ai as first contact with patients), personalized medicine, and the automation of our personal data need to be questioned closely. And concerns about replacement leading to job insecurity need to be discussed.
Clinician early input to co-design workflows with AI is essential. As Dr LIew of Kaiser Permanente, one of our largest Healthcare systems, said “understand whether or not the technology they're speaking about is… something there that we care about or is it kind of a flash in the pan?” (b). And that’s not even talking about the challenges of Ai legal responsibility or Hippa- compliance for privacy. We are also so early in the process that we don’t even have standards on ways to validate AI tool effectiveness within various healthcare environments.
Final thought:
IN THE END, overburdened clinicians need Ai technology to help, and initial results suggest it can - so there is lots of demand for the Ai tools, with a Human First commitment. The Ai “assistive role”.
I believe in the spirit and hope for “Augmented Intelligence”: Patient care supportive execution and solutions that assist clinicians while maintaining a human first, clinician led outlook.
And leveraging the long 40 year view, we will get there no doubt.
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Author: Tate Lacy
Organization: Ai65 Health
Website: www.ai65.ai
Contact: tdlacy@gmail.com
Ai65 brings strategic foresight, AI expertise, and human-first thinking to leaders preparing for the
next 40 years of Ai innovation.
Further Reading / Related Articles:
Ai65 Article: Ai as First Contact with Patients
World Economic Forum,
Health and Healthcare Systems
7 ways AI is transforming healthcare, August 2025
https://www.weforum.org/stories/2025/08/ai-transforming-global-health/
AMA 2023
“understand whether or not the technology they're speaking about is really—is there something there that we care about or is it kind of a flash in the pan?”
American Medical Association 2023 - Vincent Liu, MD, MS, Regional medical director of Augmented Clinical Intelligence, Kaiser Permanente
Pruitt Health Skilled Nursing and Nursing Home
Ai Monitoring.
https://www.healthcareitnews.com/news/pruitthealth-reduces-readmissions-boosts-patient-outcomes-help-ai
Augmented Intelligence - Broad Philosophy of Ai Execution
https://eleos.health/blog-posts/artificial-intelligence-vs-augmented-intelligence-in-behavioral-health/
Predictability and Explainability
Dr Le Dam, MD, MPH
https://www.youtube.com/watch?v=zdBflO8RHvE
NIH 2024: The process ‘first do no harm’ Then lean forward on Ai’s potential while minimizing risks.
https://pmc.ncbi.nlm.nih.gov/articles/PMC11296939/
