Health Datapalooza: Bootcamp User Guide

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Health Industry Bootcamp: A Real-World Crash Course in Everything You Didn’t Learn in Business School about Using Public Data to Create Market Value, Navigate Perverse Incentives, and Deliver Public and Social Good Moderator: Joshua Rosenthal, Co-Founder, RowdMap Sergeants at Arms: Sujata Bhatia, Harvard University Marshall Votta, Vice President, Leverage Health Solutions Special Ops: Khin-Kyemon Aung, President, Harvard University Premedical Society Aman Bhandari, Health IT & Data Partnerships, Business Development and Strategy, Merck Lily Bradley, Office of the Assistant Secretary for Planning and Evaluation (ASPE), US Department of Health and Human Services Zen Chu, MBA, Entrepreneur-in-Residence, Massachusetts Institute of Technology David Dickey, Co-Founder, RedBrick Health; CEO, Second Story Sales M. Chris Gibbons, Johns Hopkins Urban Health Institute Evon Holliday, Vice President Business Intelligence, Catholic Health Initiatives Lissy Hu, Co-Founder, CarePort Health Owen Johnson, Co-Founder and Managing Partner, BetaSpring Adam Kushner, MD, MPH, Johns Hopkins & Columbia; Founder, Surgeons OverSeas Jack Lewin, MD, Founder, MEDePASS; Board Member National Coalition on Health Care Richard Lungen, Managing Partner, Leverage Health Solutions Karen Milgate, Health Policy Consultant; Former Director, Office of Policy, Centers for Medicare and Medicaid Services Jay Nagy, PISPS, Associate Principal, The Advisory Board Company Kevin Ryan, Vice President, Business Development and Marketing, McKesson Abir Sen, Co-Founder, Definity, RedBrick, Bloom Health and Idego Burak Sezen, Co-Founder, RowdMap Ted Smith, PhD, Chief Economic Growth and Innovation, Louisville Metro Jordan Shlain, MD, Commissioner, San Francisco Health Services; Founder, HealthLoop Randy Stoughton, President, Compass Rose Benefits Group David Wennberg, Co-Founder, Health Dialog; Chief Technology Officer, The Dartmouth Institute; Chief Executive Officer, NNEACC JAG Jury: Richard Dale, Chief Operating Officer, Optum Labs Brad Fluegel, Senior Vice President and Chief Strategy Officer, Walgreens Anna Haghgooie, Managing Partner, Sand Box / Blue Cross Blue Shield Ventures David Jones, Jr. , Member of the Board, Humana; Chairman, Chrysalis Ventures Mohit Kaushal, MD, MBA, Partner, Aberdare Ventures Les McPhearson, Innovation & Business Development Executive, Florida Blue, HealthBox [former Lieutenant, United States Navy] Bill Wray, Chief Operating Officer, Blue Cross Blue Shield Rhode Island [United States Military Academy, West Point] An interactive, games-based bootcamp designed to get participants up and running the same day with their own real-world portfolio covering how to use public data to create market value, how to navigate perverse incentives in the industry, and how to deliver public and social good.

Health & Medicine News & Politics

Health Datapalooza
Health Data Consortium
US Department of Health & Human Services
Joshua Rosenthal, PhD
Dr. Sujata Bhatia, MD, PhD
Marshall Votta
USER GUIDE

Context
Exit
Exit w/
Good Multiple
Idea
Prototype
Funded
1 %*
1 %*
1 %*
1 %*
*Health Care Start Ups
fail at astounding,
disproportionate rates

Alternatives
Better Odds (seriously) Default
Better Odds (w/ life insurance) Not an Alternative (infra)
Noble, but hard & < 10 years left
See “Default”

Note: Payer buying Provider
Most ‘Successes’, Aren’t
User Guide

User Guide (ALT)
Consultants /
Professional Services,
Providers
SaaS-based
data / analytic
platforms

>* KickStarter.com gave more $ to the arts last year than the NEA.
Cf. WarbyParker & eyeglasses for Africa
Hey, what about
Social / Public Good?
You’re always better off if you create market value
(even if you’re a non-profit)
With finite budgets, non-profits will compete against each other;
need market reinforcement/acceleration
Can go for-profit w/ public/social good
for broader usage/greater impact*
MPH?

Context
EasyHard
Low
Biz Value
High
Biz Value
?
?
Most:
Cool Tech
Complex Data
Figure out how
to create value
from tech / data
Start with Biz
Problem, figure
out data / tech
Comp Sci. Interests
VC /
Accelerator
Public DataBig Data

Health care has not done so well
“Just wait ‘till next year Financial Services & Energy!”
In this race vs. other verticals

Lots of Bodies
HealthCare,WhereGood IdeasGo to Die

Lots of failure (DTC*)
*Direct-to-Consumer Note:
People don’t like to pay
out of pocket for something
they don’t like to do or
don’t want to know about

Lots of noise & fluff
Speaking at a major health care conference near you

Noise
I have better
engineering / architecture
Hmm, ‘fixing the pipes’
was not the answer

Fluff
I have better
design & experience
Hmm, the pretty colors
on my social app didn’t stop me

Lots of ‘false indicators’
My data is bigger than yours Hmm,
this fixation indicates...
Silly boys

Lots of market perversities
* Source: Dartmouth Atlas for Unwarranted Variation
*

Review
Health Care Start Ups
fail at astounding,
disproportionate rates
FAIL

Old Paradigm – Fee for Service
Payers aggregate –
but some have not historically been “health care”
“Actually, I make more money
off of bad drivers.”*
(Read w/ accent)
* Note:
Affordable Care Act changes this
Cf. Medicare Advantage

Old Paradigm – Fee for Service
Some Hospitals/Providers may historically generated revenue
by filling rooms*
Keep patients away?!?
I was trying to book you for an extra night!
* Note:
Affordable Care Act changes this
Cf. Medicare Advantage

Shift: Demographic –> Market
MBA test:
“To stay ahead of the game, the market I should look at is ____________ .”

Market Shift = New Profit Paradigm
WRONG – This isn’t the end, it’s just the beginning!*
* Cf.
P4P to incentivize market (including payers)

Government is releasing lots of data*
* Expertly captained by

Need market to adopt – use to create value
Cf. Weather & Geo-Location data
Thanks, government!

Do Good…
... but you are probably not profitable
If P < EHC x DWS, then 501c3
P: Profit; EHC: Employee Head Count; DWS: Dog Walker’s Salary; 501c3: Non-profit
It’s easy to do good...

… and Create Value
... but you are probably doing bad things
“I’ll bill you.”
It’s easy to make money...

It’s tough to do good & create value in Health Care
So let’s practice
together

In May 2014, the Health Care Cost Institute (HCCI) announced a new national health care cost and quality transparency initiative. The initiative is supported by Aetna, Humana, and UnitedHealthcare; other payers will be announced shortly. The presentation will provide background information on HCCI and describe the initial release of the three tier public transparency website that HCCI is developing. Tier 1, the public website, will be launched by 12/31/15 and was the focus of the discussion.

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Health Datapalooza 2013: Aidin

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The document outlines a 10 step marketing plan for a proposed health consultancy company called Health Solutions Consultancy. Steps 1-5 define the primary target market as NGOs, small hospitals, clinics, and LGUs, and establish that while the market for consultancy services is large, existing competitors do not fully address the needs of these organizations. Steps 6-10 describe the marketing mix, including offering consultancy services, pricing based on revenues generated, promoting through word-of-mouth, personal selling and direct marketing initially within Metro Manila, and implementing a niche strategy.

This document discusses how Amazon provides better customer service than the healthcare system by knowing customers well and sharing information transparently, while healthcare provides poor service by not proactively sharing medical information with patients. It notes barriers to improving healthcare service including lack of familiarity with online health resources, trust in doctors over other sources, and reluctance of consumers and doctors to accept change. However, it also outlines some signs of progress through the growth of online health information and tools from insurers, and possibilities for the future such as remote care, group appointments, and effects of healthcare reform.

Student-led NHS powerpoint

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The document describes a scenario where the user is the Chief Executive of an NHS trust facing budget shortfalls that put it at risk of closing. There are three main options presented to address the problem: 1) privatize some services, 2) modernize IT systems to improve efficiency, or 3) promote healthy choices to reduce demand. Staff members provide differing perspectives on the options, with concerns about privatization reducing care quality and modernization not solving the ongoing cost of updates. The user must weigh these pros and cons while also considering a growing protest outside over the potential closure to make a final decision on the best approach.

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Us Health System Ppt

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The document summarizes key aspects of the U.S. healthcare system, including how it is funded, how providers are paid, factors driving rising costs, and challenges around sustainability. It addresses these topics through discussing Medicare/Medicaid payment models, employer-sponsored insurance, measures of quality, and factors influencing costs such as administrative overhead and intensity of services provided. The document uses questions to test the reader's understanding of important healthcare concepts like DRGs, preferred provider organizations, and drivers of "good" practice patterns.

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kyguy1085

The document summarizes key issues facing the U.S. healthcare system including rising costs, an increasing number of uninsured and underinsured Americans, and poor health outcomes compared to other developed nations. It attributes these problems partially to the for-profit insurance model which incentivizes denying claims to maximize profits. This leads to high administrative waste as hospitals must employ large staffs to deal with insurance bureaucracies. The majority of healthcare spending is shouldered by the government through programs like Medicare and Medicaid, yet the U.S. still spends over twice as much per capita as other countries without achieving better population health.

141009 dhc check up bill james

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HealthPanel Concept pitchdeck

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HealthPanel is a platform that connects users to health experts for personalized consultations and shares health data to provide actionable advice. It aims to make healthcare more convenient, accessible, and results-oriented through a feedback loop model. By leveraging diagnostic testing, lifestyle data, and continuous accountability, HealthPanel believes it can help users take control of their health and avoid disease. It sees an opportunity in disrupting traditional healthcare models through personalized, software-based solutions that are simple for everyday people to use.

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The number of uninsured Americans has risen to 50.7 million, or one in six people. This is the highest rate since 1987 and is due to rising healthcare costs, loss of employer-provided insurance during the recession, and families cutting costs by going without coverage. While the Affordable Care Act aims to address this problem, it does not cover prescription drug costs, and over 40 million Americans still lack adequate pharmacy benefits. The growing senior population also faces issues with the Medicare "doughnut hole" and fixed incomes not covering medication costs. Overall, over half of Americans have inadequate or no health insurance.

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Health systems rely on data to make informed decisions—but only if that data leads to the right conclusion. Health systems often use common analytic methods to draw the wrong conclusions that lead to wasted resources and worse outcomes for patients. It is crucial for data leaders to lay the right data foundation before applying AI, select the best data visualization tool, and prepare to overcome five common roadblocks with AI in healthcare: Predictive Analysis Before Diagnostic Analysis Leads to Correlation but Not Causation. Change Management Isn’t Considered Part of the Process. The Wrong Terms to Describe the Work. Trying to Compensate for Low Data Literacy Resulting in Unclear Conclusions. Lack of Agreement on Definitions Causes Confusion. As AI provides more efficiency and power in healthcare, organizations still need a collaborative approach, deep understanding of data processes, and strong leadership to effect real change.

Practicing to Win

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bcc consulting was founded in 2004 to integrate technology into healthcare practices. It has since expanded its offerings to include business operations like financial management and strategic planning. The document discusses running a primary care medical practice as a "lab" to test operational methodologies. It was started between two large hospitals with an electronic medical record system. Three years in, it has grown from 30 patients to over 4,500 patients with 3 physicians. The practice was profitable after 19 months.

How the Obama Health Care Law Will Ration Life-Saving Medical Treatment

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Healthcare organizations are recognizing the value of healthcare analytics, especially in their Big Data, population health management, or accountable care initiatives. This is good because without analytics it is difficult to impossible to run these programs successfully. That said, analytics are not the magic bullet and proper process must be in place. The three most common mistakes health systems makes with their healthcare analytics are: 1. Analytics Whiplash- when the analytics goes from one project to another without being able to fully understand the data and what it’s saying. 2. Coloring the Truth- When analysts don’t feel like they can be completely forthcoming with information and only give leadership the news they want to hear. 3. Deceitful Visualizations- Manipulating charts, graphs, and the like to reflect what the analyst or leadership wants the data to say, rather than what it actually says.

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Watch the webinar here: http://encore.meetingbridge.com/MB005418/140528/ Webinar transcript: http://hdc.membershipsoftware.org/Files/webinars/HDC-PwC%20NIH%20&%20PCORI%20Webinar%20Transcript%205_28_14.pdf Patient-Centered Outcomes Research Institute (PCORI) Executive Director Joe Selby, MD, MPH; National Institutes of Health (NIH) Director and PCORI Board of Governors member Francis Collins, MD, PhD; and NIH Associate Director for Data Science Philip Bourne, PhD discussed new and emerging trends in big data for health, including: - How researchers, patients, clinicians, and others are forging new models for data-sharing. - Leveraging the quantity, variety, and analytic potential of health-related data for research and practice. - Addressing patients’ perspectives, needs, and concerns in creating new opportunities for innovation and translational science. - Exciting initiatives such as PCORnet, the National Patient-Centered Clinical Research Network initiative that PCORI is now helping to develop, and related open data and technology efforts such - as the NIH Health Systems Collaboratory and Big Data to Knowledge (BD2K) initiative. Discover more health data resources on our website at http://www.healthdataconsortium.org/

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Watch the webinar here: http://www.screencast.com/t/6E1ZgTOb Deven McGraw, Partner at Manatt, Phelps & Phillips, discussed privacy and security concerns in regards to the liberation and usage of health data. There is enormous potential to glean valuable insights from large data sets of health (and health-related) information - but the collection and use of health information for analytics purposes raises privacy and security concerns. Solution of these issues is key to realizing the benefits of health big data. This presentation will focus primarily on some of the regulatory challenges to learning uses of clinical and administrative claims data but also touch on challenges to big data analytics in other contexts (for example, government data and data collected by consumer-facing commercial entities like mobile health apps, social networking sites, search engines, and other personal health tools). Discover more health data resources on our website at http://www.healthdataconsortium.org/

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Health Datapalooza IV: June 3rd-4th, 2013 HEALTH DATA CONSORTIUM AFFILIATES APP DEMOS Monday June 3, 2013 • 4:30pm - 5:30pm Location: Regency Ballroom Moderator: Sunnie Southern, Founder and Chief Executive Officer, Viable Synergy, LLC; Ohio Health Data Affiliate hGraph is an open source information visualization which provides a complete overview of an individual’s health from an aggregated, high-level “how am I doing” status to detailed, metriclevel results and analysis. This single picture method can have a profound effect on a person’s understanding of his/her total well-being, because it compiles multiple metrics and inputs into a unified graph that can be viewed at a glance.

Health Datapalooza 2013: Linked Data

Health Data Consortium

Health Datapalooza IV: June 3rd-4th, 2013 Linked Data – Structured Data on the Web Moderator: David Wood, Chief Technology Officer, 3 Round Stones Speaker: Bernadette Hyland, Chief Executive Officer, 3 Round Stones Linked Data is a standards-driven model for representing structured data on the Web that gives developers, publishers, and information architects a consistent, predictable way to publish, merge and consume data. Find out what Linked Data is all about from Bernadette Hyland and David Wood from 3 Round Stones, who will present the Linked Data mode in plain, jargon-free language while provide an example of how Linked Data is being used by Sentara Healthcare to combine authoritative open government data with user entered information to providing personalized guidance for patients suffering from asthma, diabetes and heart disease.

Health Datapalooza 2013: Cooperation Without Coordination

Health Data Consortium

Health Datapalooza IV: June 3rd-4th, 2013 Cooperation Without Coordination: Managed Distributed Clinical Trial Data Moderator: Bernadette Hyland, Chief Executive Officer, 3 Round Stones Speaker: David Wood, Chief Technology Officer, 3 Round Stones Sivaram Arabandi, Clinical Informatician, Ontopro Tom Plasterer, Principal Informatics Scientist, AstraZeneca A challenge common among many healthcare organizations is to relate the detailed outcomes of external data, e.g., clinical trials, to their own research. Learn how Linked Data techniques were developed for the Web and allow for “cooperation without coordination”. This presentation will describe how 3 Round Stones and an international pharmaceutical company created a system to allow coordinated views of distributed clinical trial information. The system extended the Callimachus Project, an Open Source Linked Data management system.

Health Datapalooza 2013: Hearing from the Community - Richard Martin

Health Data Consortium

Health Datapalooza IV: June 3rd-4th, 2013 Hearing from the Community: Where We Are and Where We Would Like to Be Moderator: Edward J. Sondik, former Director, National Center for Health Statistics Speakers: Georges Benjamin, Executive Director, American Public Health Association (APHA) Samuel ‘Woodie’ Kessel, Professor, University of Maryland School of Public Health Patrick Remington, Associate Dean for Public Health, University of Wisconsin School of Medicine and Public Health Jean Nudelman, Director, Community Benefits Programs, Kaiser Permanente Donald F. Schwarz, Health Commissioner, Deputy Mayor for Health and Opportunity, City of Philadelphia, Pennsylvania Afshin Khosravii, Chief Executive Officer, Trilogy Integrated Resources Richard Martin, Vice President, Heritage Provider Network This session will focus on advances in the use of health data in developing or implementing new tools that impact local community health. It will explore the data and technology needs of local community health organizations and discuss the challenges they face when attempting to meet these needs. It will also present recommendations from non-data oriented people regarding opportunities in the data and technology fields that could enhance their experience in local community health.

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1. Health Datapalooza Health Data Consortium US Department of Health & Human Services Joshua Rosenthal, PhD Dr. Sujata Bhatia, MD, PhD Marshall Votta USER GUIDE

2. Context Exit Exit w/ Good Multiple Idea Prototype Funded 1 %* 1 %* 1 %* 1 %* *Health Care Start Ups fail at astounding, disproportionate rates

3. Alternatives Better Odds (seriously) Default Better Odds (w/ life insurance) Not an Alternative (infra) Noble, but hard & < 10 years left See “Default”

4. Note: Payer buying Provider Most ‘Successes’, Aren’t User Guide

5. User Guide

6. User Guide (ALT) Consultants / Professional Services, Providers SaaS-based data / analytic platforms

7. >* KickStarter.com gave more $ to the arts last year than the NEA. Cf. WarbyParker & eyeglasses for Africa Hey, what about Social / Public Good? You’re always better off if you create market value (even if you’re a non-profit) With finite budgets, non-profits will compete against each other; need market reinforcement/acceleration Can go for-profit w/ public/social good for broader usage/greater impact* MPH?

8. Context EasyHard Low Biz Value High Biz Value ? ? Most: Cool Tech Complex Data Figure out how to create value from tech / data Start with Biz Problem, figure out data / tech Comp Sci. Interests VC / Accelerator Public DataBig Data

9. Health care has not done so well “Just wait ‘till next year Financial Services & Energy!” In this race vs. other verticals

10. Lots of Bodies HealthCare,WhereGood IdeasGo to Die

11. Lots of failure (DTC*) *Direct-to-Consumer Note: People don’t like to pay out of pocket for something they don’t like to do or don’t want to know about

12. Lots of noise & fluff Speaking at a major health care conference near you

13. Noise I have better engineering / architecture Hmm, ‘fixing the pipes’ was not the answer

14. Fluff I have better design & experience Hmm, the pretty colors on my social app didn’t stop me

15. Lots of ‘false indicators’ My data is bigger than yours Hmm, this fixation indicates... Silly boys

16. Lots of market perversities * Source: Dartmouth Atlas for Unwarranted Variation *

17. Review Health Care Start Ups fail at astounding, disproportionate rates FAIL

18. Old Paradigm – Fee for Service Payers aggregate – but some have not historically been “health care” “Actually, I make more money off of bad drivers.”* (Read w/ accent) * Note: Affordable Care Act changes this Cf. Medicare Advantage

19. Old Paradigm – Fee for Service Some Hospitals/Providers may historically generated revenue by filling rooms* Keep patients away?!? I was trying to book you for an extra night! * Note: Affordable Care Act changes this Cf. Medicare Advantage

20. Shift: Demographic –> Market MBA test: “To stay ahead of the game, the market I should look at is ____________ .”

21. Market Shift = New Profit Paradigm WRONG – This isn’t the end, it’s just the beginning!* * Cf. P4P to incentivize market (including payers)

22. Government is releasing lots of data* * Expertly captained by

23. Need market to adopt – use to create value Cf. Weather & Geo-Location data Thanks, government!

24. So?

25. Do Good… ... but you are probably not profitable If P < EHC x DWS, then 501c3 P: Profit; EHC: Employee Head Count; DWS: Dog Walker’s Salary; 501c3: Non-profit It’s easy to do good...

26. … and Create Value ... but you are probably doing bad things “I’ll bill you.” It’s easy to make money...

27. It’s tough to do good & create value in Health Care So let’s practice together

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