I looked back at a visual I created two days prior researching HL7 and FHIR:

bridging human being w science of wellbeing

I am fascinated to see what degree of depth there is in this triple analogy (is this even a concept?) in the context of wellbeing:

augmentation:surveillance::coaching:science::human:machine

by leveraging the call to bring machine learning to EHRs (to address physician burnout) and industry’s obsession with paid coaching programs both clinical (eg. Omada Health, Rally Health) and personal development (eg. Landmark Worldwide and endless more)

It will require some research to understand what is already done to extend EHRs to a more unified, extensible, cross-domain data structure in a way that strategically moves an effort forward in regards to centralizing and owning our data.

Intended Audience

see Beneficiary Segments in Wellbeing Commons Research Model

Goals

see Research Goals in Wellbeing Commons Research Model

Contexts

holistic wellbeing, deep learning, medicine, personal development, augmentation, empowerment, burnout, biocomputational science, data ownership, societal transformation, organizational development

maintenance, self-care

Societal Issues

• State of Shallow Medicine → physician burnout, depression, suicide
  • rooted in industrial, efficiency model of healthcare
  • deep learning to the field of medicine
• attention extraction model → teen suicide
• maintenance is not "sexy" and not incentivized (ie. a society that rewards innovation, disruption, efficiency, economic gain does not reward rest & self-care)

Trends

• paid coaching programs
  • clinical
    • Omada Health (employee benefit paid by insurance)
    • Rally Health (paid by companies)
  • personal development
    • Landmark Worldwide