Data Meets Healthcare
FountainBlue's January 19 VIP Roundtable was on the topic of 'Data Meets Healthcare'. Below is a summary of notes from the discussion.
There are many challenges for incorporating data into healthcare solutions including typical data usage challenges such as Data Bias, Data Validity, Data Security, but also data challenges specific to healthcare, including Data integration (across and within organizations, across providers, payors, caregivers, and insurers) and Data Privacy.
But if we could somehow work together to create identifiers which collect full and complete information about each specific patient in an accessible format, we could make more informed decisions, better influence outcomes, and ultimately take a more longitudinal perspective to inform treatment and improve outcomes, providing longer term benefits which are also more cost effective.
We could also coordinate across clinical, behavioral, pharmaceutical, neurological, and other teams to achieve more efficient results and better clinical outcomes.
Below are some suggestions we could each adopt to support the smoother, more efficient integration of data into healthcare solutions:
Adopt an ecosystem view of healthcare where siloed groups and organizations share information, collaborating to drive better patient outcomes.
Start with the use case and work together to identify the relevant data to best address the use case.
Collect enough data so that you can see the whole person over the long term - their lifestyle choices, their behavior, their health history, as all of this impacts how they can best be treated.
Leverage data to help invent, develop and commercialize life-transforming medicines for specific illnesses.
Provide access to scalable, modern applications that improve clinical, financial, operational, and experiential outcomes for hospitals and clinics.
Create measurement tools that accurately and objectively measure disease activity, progression, and severity, allowing for better management and care.
Leverage AI so that we can:
quickly and thoroughly sift through the huge and growing database of information about specific diseases
help enable precision medicine, specific treatments for the right patient at the right time based on their specific profile/history
It's clear that data will be integrated into healthcare solutions. It's not clear how and when it can be done, who will rise to the challenges, and how many can benefit in what ways, as solutions evolve.