Health 2.0, 2012

I was very fortunate that my company sent me to San Francisco to attend the Health 2.0 2012 conference. I like the coastal city very much. The weather, the variety in culture, seafood and fleet show on the piers, Boudin sourdough... everything is vibrant and refreshing. I love seeing palm trees in the streets, it makes me feel like I am on vacation because of the tropical element it brings.

Sketchy notes from conference:
- aging population, chronic disease account for 75% of health care cost
- 5 shifts in healthcare system reform
  1. Explode business model: revenue source, business structure, data workflow all shifts. Upgrade cost analysis: end cost shift competing with each other for funding, reallocate cost across network. Measure, improve, try, measure again.
  2. Build on smart primary care, reduce cost by keeping patient out of ER
  3. put a crew on it, not work in silos, integrate multi-disciplinary team, drive disk to operation level. Not paid by visit - better quality care with holistic approach
  4. Swarm the customer. 1% generate 20% of the cost
  5. Rebuilt all processes: use big data to explore population data and find that 1%
Telehomecare Package
2net: preconfigured gateway with peripheral devices for users not comfortable with technology. Gateway between devices and destination.

AT&T mhealth platform has 182 apps
Google healthcare services, digital path to wellness, search is indispensable.
Use of Twitter data to analyze the spread of epidemic, food poison.
Sensors at home to track mistakes or dis-coherent behavior, e.g. dial telephone, making coffee, pill box, etc. See decline in performance.
Number one cause of death is cardiovascular disease, underline cause has to do with obesity. 2/3 kids in high school are obese

Food Apps
- Zipongo
- Food Essentials
- Food Genius
- Noom
- Fooducate

Cancer Management Program
- 24/7 support line to reduce visit to hospitals
- segregate into groups according to stages, have targeted methods for each group
- e.g. identity target group for colon-rectal screening

Big Data
- 90% of unstructured data due to mobile technology, e.g. images, movies
- Data quality issue: look at all information (structured or unstructured), false positives, look at multiple data sources for discrepancy
- HIPPA preventing aggregation of patient data across hospitals for research purposes
- Trade off between structured and unstructured data. Structured: hard to collect but easier to analyze.

Doctor 2.0
- determine how to make the right thing to do easy, determine what is the right thing
- determine how to make the wrong thing to do impossible
- change sick-care to health care
- providers: triage, consult, referral, care, collaborate


Nuber

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