18,000 Diseases, One Patient: Re-Engineering Healthcare for Complexity & AI

How AI Care Orchestration Represents the Future of Health-Tech & Venture Philanthropy

A complex patient can present with symptoms and signs that are related to hundreds of diseases and implicate several body systems. There are 18,000 known diseases, and a patient can have more than one disease. This leads to millions of possibilities, typically falling on the shoulders of the initial clinicians who meet the patient to determine. Or send them onwards. And onwards again. Complexity, unpredictability, and inefficiency abound.

Our current healthcare system was designed to respond to a small number of diseases and treat them in silos. This is further supported by clinician training which occurs in a specific discipline and speciality, not designed for integration or the complex and unpredictable reality we now face in patient care.

So how do we redesign the healthcare system to address complexity and unpredictability?

Our patients, knowledge, and practice have changed. So have the infrastructure and tools available to us.

What if we had a healthcare system that could configure a care plan tailored to a patient, on demand, across silos, considering all known diseases, symptoms, and systems? We could, using AI.

For example, Betsy presents to her doctor with symptoms that relate to her neurologic, cardiac, respiratory, and GI systems. Let’s use AI to map, prioritize, and select the resources required to systematically, logically, and efficiently investigate and understand Betsy’s issues and needs.

The healthcare system gets personalized to Betsy and her needs. The system reconfigures the value chain, one patient at a time. The doctor, administrative staff, and other clinicians interpret and support the plans with human judgment and touch. And still have more time to do the valuable relational work of being with and supporting the patient.

The AI can understand which doctors best see which patients. AI can know their availability. Can schedule appointments with Betsy. Can generate referrals for the imaging and tests she’ll need, where and how to get them, and schedule those too.

The AI can brief the specialist. Reviewing her labs, imaging, and narrative describing her journey from her perspective. Once the specialist completes the consultation, their notes will be in Betsy's single unified patient record, which all professionals on her team can access. Does another specialist need to be seen? Were they already? Is there integration that needs to happen between the two? AI can integrate and facilitate that as well.

This sounds like a dream. But does it have to be?

What to Do Next: Funding the Future of Care

In RCM Capital Advisors, Betsy represents the un-siloed healthcare infrastructure of tomorrow—the exact type of AI-driven clinical orchestration, health-tech innovation, and venture philanthropy that family offices and Next-Gen donors want to fund.

At RCM Capital Advisors, we help family offices and philanthropists apply rigorous clinical due diligence to these complex healthcare initiatives—ensuring capital supports sound science, operational feasibility, and real-world patient outcomes.

Whether you are evaluating a major healthcare allocation, a venture philanthropy gift, or an investment in AI-driven care innovation, RCM Capital Advisors provides the independent clinical intelligence to make your capital count.

To learn more about how we help family offices evaluate complex healthcare allocations, visit rcmcapitaladvisors.com.