“BYO APP”: BRIDGING THE GAPBETWEEN PATIENTS & CLINICIANS Dr. Ida Sim, Open mHealth, UCSF

Personalized insights

Building smart-sensemaking

Breaking down barriers to integration

Personalized, clinical insights

Building smart-sensemaking

Breaking down barriers to integration

How can digital health data be usable in clinical practice in a meaningful, effective

way?

Familiar challenges using digital health data

Impossible to keep up with all

the apps

Making sense of data (and trusting it)

Tracking is hard with very little reward

No easy way to share data

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3

Purposeful, collaborative use of data

Seamless sharing of data into clinical and personal workflows

Clinical insights for stronger doctor-patient relationships

Introducing Linq

● More positive experience onboarding new meds

● Reduced med prescription & fewer clinic visits

● Reinforcement of healthy changes

● Personalized feedback & goal setting

● Healthier outcomes

● Faster med titration: 2 months vs. 3-6 months (less time= less cost)

● Reduced medication dosage

● Fewer clinic visits

● Data to provide personalized recommendations

● A healthier, happier patient

Dr. Michael V. McConnell, MD, MSEEPreventive Cardiology Clinic, Stanford

Medicine

Beyond hypertension

Understanding whether asthma is worse at school, home, or somewhere else

Tracking course of recovery after hip surgery

Helping chronic pain patients find the most effective pain medication at the lowest dose

Tracking sleep to see if lack of sleep is a trigger for migraines

Nutrition

Activity

Weight

Blood pressure & HR

Sleep

Blood glucose

Medication adherence

Expanding data sources

1 Open source data schemas: give 3rd party data clinical meaning

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Open source API wrappers: (e.g. Fitbit, Jawbone, Withings, etc)

Open source data storage, processing and dataviz modules

1-stop toolkit! Coming soon!openmhealth.org/developers

Open mHealth Platform

Be a beta-tester: openmhealth.org/linq

@openmhealth#openmhealth