Health Information Resource Mgmt June 2016
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Transcript of Health Information Resource Mgmt June 2016
Health InformationResource Management and Policy:
Better Data for Better Care
J.D. Whitlock, MPH, MBA
Health Resource Management and Policy
CMH 6500
30 June 2016
2
Why Am I Passionate About This Topic?
1993-1995: MPH @ UCLA during HillaryCare debates
1996-2012: Operational & technical mgmt. roles in Military Health System
2012-Present: VP, Enterprise Intelligence, Mercy Health
Goals
1. Understand the (mostly) unharnessed potential of healthcare data in improving the delivery of care
2. Understand the role of Clinical & Business Intelligence as an essential enabler of the transition from volume-based care to value-based care
3. Based on the importance of #1 and #2, increase your level of knowledge and interest in healthcare analytics
Overview• Lingo
• “Transforming Health Care: The Role of Health IT” – Align Incentives
– Accelerate Health Information Exchange Efforts
– Accelerate and Support Engagement of Consumers Using Electronic Tools
– Expand Education and Implementation Assistance
– Address Concerns About Privacy and Security
• Examples of Population Health Management C&BI
• Examples of Public Health Focused C&BI
• ACO Jobs for Public Health Peeps
• Electronic Health Record (EHR)
• Personal Health Record (PHR) / Patient Portal
• Health Information Exchange (HIE)– Public HIE
– Private HIE
• Health Insurance Exchange (HIX)
• Clinical & Business Intelligence (C&BI)
• Population Health Management (PHM)
• Accountable Care Organization (ACO) – Medicare Shared Savings Program
– Commercial ACO
– A healthcare provider organization capable of accepting risk
Transforming Health Care: The Role of Health IT
• Gaps and barriers
– Misaligned Incentives
– Lack of Health Information Exchange
– Limited Level of Consumer Engagement Using Electronic Tools
– Limited Levels of EHR Adoption
– Privacy and Security Concerns (HIPAA +)
– Multiple Federal Priorities Require Focus and Attention
http://bipartisanpolicy.org/sites/default/files/Transforming%20Health%20Care.pdf
• Report recommendations:
– Align Incentives
– Accelerate Health Information Exchange Efforts
– Accelerate and Support Engagement of Consumers Using Electronic Tools
– Expand Education and Implementation Assistance
– Address Concerns About Privacy and Security
Transforming Health Care: The Role of Health IT
Easier Said Than Done
Why is this so hard?
• Report recommendations:
– Align Incentives
– Accelerate Health Information Exchange Efforts
– Accelerate and Support Engagement of Consumers Using Electronic Tools
– Expand Education and Implementation Assistance
– Address Concerns About Privacy and Security
Transforming Health Care: The Role of Health IT
Review of Economics 101:Incentives Matter
One Example of Getting What You Pay For
An “Avalanche” of Unnecessary Care?
“Americans always do the right thing, after they have tried everything else”
– Winston Churchill
“First and prerequisite for other kinds of progress, the Nation must accelerate the transition to payment models that pay for value rather than volume”
Presidents Council of Advisors on Science and
Technology (PCAST)
“Better Health Care and Lower Costs: Accelerating
Improvement Through Systems Engineering”
(May 2014)
Volume-Driven vs. Value Driven
• Wellness and
Prevention
• Care Coordination
• Clinical Integration
• Care Management
• IT Connectivity
• Aligned incentives
• Admissions
• Visits
• Procedures
• Interventions
• Widgets
• Volume = Revenue
Volume-Driven Value-Driven
CMS Has Set Aggressive Goals for Transition to Value
Graphic: Premier Health Alliance
Significant Change in Medicare Payment Model
Value Based Reimbursement:Track 1 vs. Track 2
Graphic: Premier Health Alliance
MACRA Reform Timeline(Medicare Access and CHIP Reauthorization Act of 2015)
Graphic: Premier Health Alliance
Accountable Care Core Components
People Centered
Foundation
Medical
Home
High Value Network
Population Health Data
Management
ACO Leadership
Payor Partnerships
Foundational Philosophy: Triple Aim
The Bridge from Volume (FFS) to Value (Accountable Care)
What are the underpinning
building blocks?
CurrentFFS
System
AccountableCare
Measurement
Triple Aim:Enabled by C&BI
Pop Health Mgmt
Care Coordination
Quality Reporting
Comparative Effectiveness
Decision Support
Patient Engagement
Clinical & Business Intelligence
Components of an Accountable Care Organization (ACO)
Payer Partners
► Insurers
► Employers
► States
► CMS
A group of providers willing and capable of accepting accountability for the cost, quality, and experience of care for a defined population
Medicare Shared Savings Program (MSSP) Business Model
• CMS defines the population (patients already seeing the ACO’s PCPs) and sets financial targets
• Participating providers care for patients on fee-for-service basis
• 33 CMS prescribed patient satisfaction & quality measures are monitored
• CMS performs annual reconciliation of financial and quality performance
• Shared savings (if any) are distributed within the ACO
• Chronic disease management across the continuum in six major disease areas: – Asthma– Diabetes– CHF– COPD– Hypertension– Chronic depression
• Managing high risk populations
• Appropriate utilization of expensive diagnostics
• Pharmaceutical use / costs (e.g., use of generics)
Per Capita Cost Reduction Targets
ACO Innovations Turn Traditional Care Models on Their Head
• Virtual physician office visits• Electronic home monitoring• Hospital in the home concept• Growth in provider sponsored health
plans• Primary care based behavioral health
programs• Palliative and end of life care • Post-acute care management programs• Keeping patients out of the hospital• Keeping patients out of the ER
From The Institute of Medicine’s 2012 report, Best Care at Lower Cost:
Primary care providers are the only healthcare professionals who can effect transformation in health care. The systems and structures which will fulfill the Triple Aim can only be designed andimplemented by primary Healthcare Healers.
Patient Centered Medical Home(PCMH)
You Can’t Do ACO Without PHM, C&BI, and HIE
• Integrated elements of a successful ACO:
– Improved clinical outcomes and patient satisfaction linked to
– Care Coordination embedded in
– Patient Centered Medical Homes practicing
– Improvement Science Methodologies that support
– Population Health Management using
– Data Analytics across a Clinically Integrated Network
• Report recommendations:
– Align Incentives
– Accelerate Health Information Exchange Efforts
– Accelerate and Support Engagement of Consumers Using Electronic Tools
– Expand Education and Implementation Assistance
– Address Concerns About Privacy and Security
Transforming Health Care: The Role of Health IT
Healthcare Information Exchange(First, the Bad News)
• A lot of federal grants went to states to set up HIEs, but few have resulted in HIEs with sustainable business models
• Public HIEs have difficulty getting competing healthcare organizations to agree on what to share
• Many technical barriers to exchanging “computable” summary of care data
• Private HIEs are now growing faster than public HIEs (because they are purpose built in line with existing incentives and business models)
Meaningful Use Stage 2 Mandated Electronic Exchange of Data for Transition of Care
“His care was materially different because his continuous lifetime record - inpatient, outpatient and emergency department - was available without going to a separate portal or adopting a new workflow”
http://www.healthcareitnews.com/blog/interoperability-real-life
Common Vocabulary and Code Sets
Is the glass half-empty or half-full?
http://www.healthdatamanagement.com/opinion/why-the-inability-to-exchange-data-stands-in-the-way-of-accountable-care
“SMART on FHIR”: The Future of Interoperability?
• SMART: Substitutable Medical Apps, Reusable Technologies
• FHIR: Fast Health Interoperability Resources
• Report recommendations:
– Align Incentives
– Accelerate Health Information Exchange Efforts
– Accelerate and Support Engagement of Consumers Using Electronic Tools
– Expand Education and Implementation Assistance
– Address Concerns About Privacy and Security
Transforming Health Care: The Role of Health IT
Critical Need to Connect Directly with Patients
SMART-on-FHIR Example: Growth-tastic
• Growth-tastic presents a child’s growth data in easy to understand graphics aimed at parents
• Demonstrates the potential of app platforms to make health data available in the most useful way
Patient Portal & Activated Patients! (?)
Mobile Patient Monitoring
Leverage emerging wireless medical device technologies for remote monitoring of patient physiologic parameters
Air Force Patient Portal Study: What Patients Value Most
• Most Preferred Features (Top 5 of 18)
5.00 5.50 6.00 6.50
Track lab results
Medical information availableanytime from any web-enabled…
Securely message my providers
Print and/or exchange medicalinformation with providers
Emergency informationimmediately accessible
Patient Activation / Patient Engagement
“The Blood Test Gets a
Makeover”
Wired Magazine Dec 2010
http://www.wired.com/magazine/2010/11/ff_bloodwork
Personalized Risk Charts Showing Results of Behavior Modification
Sara Jane’s 80/20 Rule on Patient Activation
Consumerization of Healthcare = Convenience is King
“VIDEO IS ABOUT TO BECOME THE WAY WE ALL VISIT THE DOCTOR”
HTTP://WWW.WIRED.COM/2015/04/UNITED-HEALTHCARE-TELEMEDICINE/
• United Healthcare now charge the same co-pay for a video visit or office visit
• Combined with “Minute Clinic” model, major potential for disruptive innovation
• Discuss Washington Post article “Rating Hospitals by the Stars”
• What do you think?
• Should CMS publish the quality star ratings?
CMS Hospital Comparehttps://www.medicare.gov/hospitalcompare/search.html
54
Summa Health Website: “Quality Outcomes”(Door-to-Provider is 1 of 16 measures)
• Report recommendations:
– Align Incentives
– Accelerate Health Information Exchange Efforts
– Accelerate and Support Engagement of Consumers Using Electronic Tools
– Expand Education and Implementation Assistance
– Address Concerns About Privacy and Security
Transforming Health Care: The Role of Health IT
Meaningful Use
• Incentive payments to providers and hospitals for “meaningful” use of certified EHRs
• $34B of your tax dollars
• 5 Major Components– Improve Quality, Safety, and Efficiency
– Engage Patients and Families
– Improve Care Coordination
– Improve Population and Public Health
– Ensure Privacy and Security for Personal Health Information
Dr. Farzad Mostashari, 7 May 2013
“We’re about halfway through the
process of computerizing and
digitizing America’s hospitals and
doctor’s offices, and we’re about 5
percent of the way through changing
workflows and redesigning care to
take advantage of those
technologies”
“We seek the development of a learning healthcare system designed to generate and apply the best evidence for the collaborative health care choices of each patient and provider; to drive the process of discovery as a natural outgrowth of patient care; and to ensure innovation, quality, safety, and value in health care.”
A Learning Health System(“Better Data for Better Care” Freely Shared)
Data
Information
KnowledgeInsight and action
A “virtuous” cycle of discovery
Eugene KolkerChief Data Officer
Seattle Children's Hospital
“People talk about technology, and we need to have it. Data science, analytics? Absolutely. Business practices? Definitely. But still the major focus is people – who are going to make decisions or not, make interventions or not. The whole focus of what we do is to help people make better, data-driven decisions."
How Do We Fix This?
Better C&BI and a Learning Healthcare System!
• Report recommendations:
– Align Incentives
– Accelerate Health Information Exchange Efforts
– Accelerate and Support Engagement of Consumers Using Electronic Tools
– Expand Education and Implementation Assistance
– Address Concerns About Privacy and Security
Transforming Health Care: The Role of Health IT
Your medical information is worth 10 times more than your credit
card number on the black market
http://www.reuters.com/article/2014/09/24/us-cybersecurity-hospitals-idUSKCN0HJ21I20140924
Privacy and Security 101
Privacy and Security 102
• Discuss WSJ article: “Should Every Patient Have a Unique ID Number for All Medical Records?”
• Which side are you on?
• Does it make a difference if the Unique ID is voluntary?
• What are the public health implications of this debate?
• Is (de-identified) clinical data a public good?
Examples of Population Health Management C&BI
This Does Not Work
At Risk Contracts
• Payer A
• Payer B– Plan B1
– Plan B2
• Payer C
• Payer D
• Payer E– Plan E1
– Plan E2
– Plan E3
PHM Platform / Care Coord / Set of CQMs
• Payer A
• Payer B– Plan B1
– Plan B2
• Payer C
• Payer D
• Payer E– Plan E1
– Plan E2
– Plan E3
This Can Work(And is the differentiator for ACOs)
At Risk Contracts
• Payer A
• Payer B– Plan B1
– Plan B2
• Payer C
• Payer D
• Payer E– Plan E1
– Plan E2
– Plan E3
Single:
PHM Platform / Care Coord / Set of CQMs
Quality
Measure the experience, results and active
participation of covered population
Provider Analytics
Manage/maintain consistency,
effectiveness and openness of care
delivery
Population Health
What are the behaviors, norms and risk profiles of the local population
Total Cost of Care
Covered individual and total population
utilization & spend
Improved Outcome, Spend, Utilization & Access
Tools Required for Value-Based Care
Claims
Nominal ACO / PHM Architecture
Physicians
Analytics Team
Care Coordinators
Pop Health MgmtPlatform
EHR
Data Warehouse / Total Cost of Care
EHREHR (s)
OtherData
Claims Analysis: Risk Profiling, Utilization Reporting
Example ACO Metrics
PHM Analytics Within Mature EHRs
1. EHR Registry identifies a cohort of patients in a PCP panel that need some type of outreach (e.g. diabetic patients that need an A1c test)
2. EHR workflow enables bulk ordering of test / bulk communication to patients in their preferred format (Secure messaging vs. phone vs. letter)
3. Outreach and results are tracked
Readmission Risk Scores + Case Mgmt Workflow
Acute Care Real Time Quality Monitoring
Clinical Decision Support
• Good Clinical Decision Support (CDS) is:– Not intrusive (whack-a-mole pop-ups)
– Imbedded into clinical workflow (or easily accessible from clinical workflow)
– Evidence-based
– Actionable (or likely actionable) by the provider
• Really good CDS is:– Tailored to the individual patient based on clinical
data (and even genomic data)
• Examples of really good CDS might look like …
http://geekdoctor.blogspot.com/2007/11/data-information-knowledge-and-wisdom.html
The Explorys Value Based Care Big Network
• Over 360 hospitals and 317,000 providers
• $69 billion in care delivered annual by network members
• 50 million unique patients
• Comprehensive view of care including all venues of delivery representative of all major diseases, treatments, and demographics
“Big Data” in Healthcare
Example of Big Data PHM Platform
Clinical Quality Dashboards
Advanced Risk Scores(paid claims + EHR clinical data)
• Concurrent risk score: Overall utilization risk
• Mortality risk: Which patients need palliative care rather than intense care coordination?
• Risk of ED visit in next 30 days: Based on meds/Dx/encounters/demographics (AUC = 0.8)
(Synthetic Patient Data for demo purposes only)
Patient Summary:Comprehensive view of Risk Profile and Care
Opportunities using data from claims and EHR(s)
Uses of Explorys Risk Model (ERM)
Scenario How is the Explorys risk weight used?
ProspectiveUtilization
The risk weight of 2.80 can be multiplied by an average $400 PMPM (example) to get a predicted utilization of $1120. This is equivalent to saying a member will cost 2.8 x average cost.
Risk Stratification
The risk weight of 2.80 would put a patient in a specific bin. For example, a low risk bin may be formed by grouping patients with a risk of 2 or less into GROUP 1 and between 2 and 8 into GROUP 2 and above 8 into GROUP 3 to allocate scare resources.
Acuity adjusted panels
The risk weight of 2.80 can be added to the risk weights of all other members of a specific provider to obtain an average (e.g., 1.5) – this average risk score of 1.5 can be used to adjust the actual panel size of 1,600 patients to create an acuity adjusted panel of 2,400 (1,600 x 1.5) so that work load can be more accurately compared.
Benchmark performance
The risk score can be used to adjust actual costs and quality metrics to control for severity. Actual costs of $1350 PMPM can be compared to a predicted of $1300 PMPM.
Holy Grail of Value Based Analytics1) Centralized EHR with Pop Health Mgmt capabilities baked in2) Well integrated clinical + claims + patient reported data to deliver
holistic view of patient with advanced risk modeling, registries, care gaps, advanced clinical decision support (leveraging patient-specific clinical data)
3) Analytics from #2 delivered to care team within clinical workflow Ideally, supporting data is crunched outside EHR and imported back into EHR At worst, analytics are one click away with patient context sensitive single sign on
4) Patient Portal with appointment scheduling including virtual/video visits; integration of clinical & health plan experience; gamifiedwellness platform integrated with social media; easy integration with home monitoring & fitness devices
5) Mature Enterprise Data Warehouse, mature Business Intelligence capabilities, and a robust analyst team with both clinical & claims data skillsets
6) Industry-wide concurrence on <50 measures to monitor Triple Aim Quality + Pt Experience for all ACO patients
7) Open source library of core clinical decision support algorithms
Examples of Public Health Focused C&BI
Genomics & Personalized Medicine:A “Revolution”?
http://io9.com/how-obamas-precision-medicine-initiative-will-revolutio-1680866890
… or “Not So Fast” …
http://jama.jamanetwork.com/article.aspx?articleid=2344586
… or “Slow Progress, Starting with Oncology”
http://www.washingtonpost.com/sf/national/2015/06/27/watsons-next-feat-taking-on-cancer/
SAP Offers State of the Art Genomics to Employees for Personalized Cancer Treatment
• Software generates an individual tumor analysis for each patient 300x faster than previous technology
• Provides a clinical interpretation of the genomic patient data to support their oncologist in making the best individualized treatment decisions
• Tumor sequencing, and the big data analytics required to process genomic data, is quickly becoming standard of care in oncology
http://www.healthdatamanagement.com/news/SAP-Offers-Software-to-Employees-for-Personalized-Cancer-Treatment-48199-1.html
Turbocharging Clinical Research
• Comparative Effectiveness Research
– Is that fancy new drug / treatment / diagnostic worth it (efficacy / cost)?
• Translational Research
– Reducing “Bench to Bedside” time
• Mining large repositories of clinical data for hypothesis generation & patient cohort ID
• Computer models of human physiology to evaluate clinical trials
Geographic Information Systems Applied to Public Health …
Overdose and Suicide:Leading Causes of Death
Mercy’s Cincinnati Service Area
Leading Causes of Premature Death Due to Injury
12,029 Years of Potential Life Lost in 2012
Mercy’s Cincinnati Service Area
YPLL75 = Sum of years lost for deaths before the age of 75
Mortalities Due to Overdose (Rate per 100k)
Accidental poisoning by and exposure to other and unspecified drugs, medicaments and biological substances
Accidental poisoning by and exposure to narcotics and psychodysleptics [hallucinogens], not elsewhere classified
Mortalities Due to Suicide (Rate per 100k)
Intentional Self-Harm By Other And Unspecified Firearm And Gun Discharge
Intentional self-harm by hanging, strangulation and suffocation
Intentional self-poisoning by and exposure to other and unspecified drugs, medicaments and biological substances -
Mortalities Due to Overdose (Rate per 100k)
Mortalities Due to Suicide (Rate per 100k)
Importance of geospatial visualization & granularity
• CDC’s Biosense program provides local, state, and federal partners a timely regional and national picture of trends in disease syndromes and situation awareness
• BioSense 2.0 integrates current health data shared by health departments from a variety of sources to provide insight on the health of communities and the country
• By getting more information faster, local, state, and federal public health partners (e.g. DoD and VA) can detect and respond to more outbreaks and health events more quickly
Modeling Spread of Disease from Social Interactions
http://www.cs.rochester.edu/~sadilek/publications/Sadilek-Kautz-Silenzio_Modeling-Spread-of-Disease-from-Social-Interactions_ICWSM-12.pdf
http://www.nytimes.com/2013/06/23/opinion/sunday/theres-a-fly-in-my-tweets.html
Military Health System:Virtual PTSD Experience (Second Life)
http://t2health.dcoe.mil/vwproj/
Better Data … Less Fraud?
• Estimated 12% of Medicare and 10% of Medicaid is lost to fraud ($700B)
• Better data tools allow better identification and prosecution of the bad guys
• Still a long ways to go obviously …
http://www.nextgov.com/big-data/2016/06/better-data-just-saved-taxpayers-900-million-medicare-fraud/129357/
ACO JobsFor Public Health Peeps?
The Ideal ACO Analyst
• Years of experience in practice management operations (understand clinical data and workflows)
• Years of experience in health plan operations (understand claims data and workflows)
• Years of healthcare analyst experience
• “Data Scientist”
• PCMH expert
• Change Mgmt guru
Guess What?
• Not a lot of these superheroes exist
• Ergo, they are expensive
• Ergo, ACOs must generally rely on mere mortals like you to partner with clinicians & executives and transform healthcare
Monster.com Job Ad for:“Accountable Care Consultant
Analyst”• Duties:
– Improving access to care by using practice level population data to analyze overall capacity/demand for appointments and visit patterns by clinic
– Implementing process improvements to reach mutual goals and improve patient access
– Analyzing trends and work with all Community stakeholders to agree on and implement proactive strategies to address issues, and measure impact using a PDSA rapid cycle improvement approach
– Measuring and monitoring success of outreach and develop strategies to simplify processes and ensure optimal care for patients
– Analyzing and reporting measurable progress against goals at monthly meetings with practices and hospitals
• Qualifications:
– Master's Degree or higher from an accredited university
– Minimum 1 years of experience in Practice Management and/or Operations
– Advanced level proficiency with clinical documentation systems
Get Smart on Accountable Care!(a.k.a. Value-Based Care)
• If you can …
– “Speak ACO”
– Sound smart about imperatives for the transition to value based care
– Understand at least a little about clinical + claims data requirements for Population Health Management
… then you are going to get an ACO job over someone who cannot
• Translate your Public Health background into ACO-speak on your resume
ACO-Get-Smart Resources
• Healthcare Informatics Magazine ACO articles:
– http://www.healthcare-informatics.com/category/policy/accountable-care-organizations-acos
• National Association of ACOs:
– http://www.naacos.com
J.D. Whitlock
VP, Enterprise Intelligence
https://www.linkedin.com/in/jdwhitlock