Health 2.0 Code-A-Thon
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Health 2.0 Code-A-Thon
- 1. Health 2.0 – Code-a-thon CONCOCTING THE ALLURING ELIXIR @vaibhavb
- 3. DIGITAL HEALTH FUNDING Over the past two years, there has been overall YoY funding growth of over 23% and deal growth of over 17%. Source: PwC Money Tree & Rock Health For first half of 2013 digital health funding growth is over 12% leading traditional healthcare but trailing software. 38% Medical Devices 12% -2% -29% -6% Bio Tech All Sectors Digital HealthSoftware 2013 vs. 2012
- 4. DISRUPTORS DIGITAL HEALTH Devices Data Science Digital Doctors Patients Providers Payers Healthcare 2.0 DRIVERS Drivers & Disruptors
- 5. MODERN HEALTHCARE IS EPISODIC
- 6. Data Islands
- 7. PAPER FACTS It costs nearly $250 BILLION to process 30 BILLION healthcare transactions each year 86% of mistakes made in the healthcare industry are administrative Organizations, on average, make 19 COPIES of each document, spend $20 in labor to file each document and lose one of every 20 documents SOURCE: http://www.thepaperlessproject.com
- 8. SECURE INTERNET-BASED DIRECT COMMUNICATION • SIMPLE. Connects healthcare stakeholders through universal addressing using simple push of information. • SECURE. Users can easily verify messages are complete and not tampered with in travel. • SCALABLE. Enables Internet scale with no need for central network authority or multiple implementations. • STANDARDS-BASED. Built on common Internet standards for secure e-mail communication. Direct Project specifies a simple, secure, scalable, standards-based way for participants to send encrypted health information directly to known, trusted recipients over the Internet. b.wells@direct.aclinic.org h.elthie@direct.ahospital.org vaibhav@direct.healthvault.com
- 11. SOLVING DATA LIQUIDITY AND SHARING WITH BLUE BUTTON+
- 14. REDESIGNING BLOOD TEST RESULTS
- 18. Objective • Create a patient-friendly, easy to read and understand Explanation of Benefit – Develop supporting information visualizations to understand coverage and financial amounts – Visual guide to managing financial health data and monitor expenditures.
- 19. Potential Use Cases • Design for any of the following use cases: – Switching plans / jobs – Incorrect codes – Unnecessary procedures or invalid diagnoses – Billing inconsistencies – Coinsurance calculations – Identity theft – Tax preparation – …
- 20. How to win • Deliverables – http://bit.ly/SFcodo • Judging: (Out of 100 + 25 bonus) – Completeness (25) – Design for Delight (25) – Ease of use (25) – Use Case Driven (25) – Bonus (25)
- 21. Prizes.. • Track Winner – 1st 2 K – 2nd 1.5 K – 3rd 1 K • Overall Winner – + 1K, main stage presentation at Health 2.0 Fall Conference and more..
- 22. WELCOME TO HEALTH 2.0 CODE-A-THON! DIRECTOR OF PRODUCT MANAGEMENT, OPTUM AUTHOR, O’REILLY MEDIA MIXOLOGIST, LIB13 TWITTER – @vaibhavb E-MAIL – vaibhav.bhandari@optum.com BLOG – http://healthblog.vitraag.com ME – http://about.me/vaibhavb http://www.enablingprogrammableself.com http://bit.ly/SFcodo
- 23. WEARABLE DEVICES – EMPOWERING THE CONSUMER
- 24. DOCTORS 2.0
Editor's Notes
- Botanical Cocktails: http://bartanica.com/
- Venture funding in Digital startups is growinghttp://www.slideshare.net/RockHealth/2013-midyear-digital-health-funding-by-rockhealth-23728823?ref=http://rockhealth.com/2013/07/2013-midyear-digital-health-funding-update/https://www.pwcmoneytree.com/MTPublic/ns/nav.jsp?page=industry
- The healthcare landscape is very complicated and often times very disjointed. Silos are characteristic of data in the HealthCare Ecosystem. When you get sick you go your family Physician who (if at all) stores data for your visit in a local electronic medical record system. Your prescriptions get filled by a prescriptions network and Labs by the Lab network, which have their own interchange protocols and data standards. The payers or Health Plans pay for you visit using their own Electronic data interchange based standards. There are consumer service like WebMD which you use to get information from. And then there are the big Enterprise Hospitals which have a set of Silos themselves!
- Cover data science for Patients (Quantified Self) : Doctors : Lab ReportsPayers (Community) : Flu TrendsData Sourceshttp://www.healthdataconsortium.org/data-sources
- http://www.nature.com/news/when-google-got-flu-wrong-1.12413
- Create a patient-friendly, easy to read and understand EOBDevelop supporting information visualizations to understand coverage and financial amountsVisual guide to managing financial health data and monitor expenditures
- Interesting problems- How should data be viewed by physicians or medical professionals.