Dr. Shubhra Jain
Jun 25, 2018 · 3 min read
  • Data informs and enables continual improvement of the program
  • Avoids selection bias and holds statistical power to claim outcomes
  • Results must be generalizable beyond the study population
  • Do not tailor treatments to multiple small subgroups of patients
  • Clearly define responsibility — one person takes ownership of care delivered to a given patient
  • Ongoing, disease specific coaching using proven behavior change principles
  • Single point of contact to avoid duplication of treatments or co-ordination issues
  • Patient segmentation and targeted incentive schemes to encourage compliance
  • Collect granular, longitudinal data, process promptly and establish pathway to intervention
  • Share with third parties for independent analysis, review and publication of results
  • Data feedback loop to enable continual program improvement
  • Highlight non financial incentives — e.g. image and marketing advantage in a health system with competing payors, patient retention and higher patient satisfaction for physicians

Dr. Shubhra Jain

Written by

Investor @CotaCapital. Technophile Physician passionate about startups. Advisor/coach/partner to entrepreneurs creating Health 2.0

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