from concept to rapid visualization - a data analytics case study
TRANSCRIPT
From Concept to Rapid Visualization – a Data Analytics
Case StudyGregory Wozniak, PhD
Director of Outcomes Analytics
Health Outcomes Group
American Medical Association
The Journey
Objectives
• Share experiences and lessons learned from a multi-stakeholder, multidisciplinary collaboration in exploring the use of visual analytics to transform data into information – various AMA units & Mikan Associates
• To analyze patterns and trends in antihypertensive medication (AHM) use, the AMA and CDC contracted with IMS Health to acquire state level data on AHM fills and spending for 2009 - 2013
• Present the case study of developing an interactive mapping application to assess variation in AHM prescribing behavior among physicians and non-physicians
The Toll of CVD and HTN
• Cardiovascular disease causes one-third of all deaths in the United States
• About 70 million American adults (29%) have high blood pressure
• In 2010, hypertension (HTN) was identified as the underlying or contributing cause in more than 360,000 deaths
• High blood pressure costs the nation $46 billion each year, including the cost of health care services, medications to treat high blood pressure, and missed days of work
• Despite the potential to prevent or manage HTN through diet and lifestyle modifications, most need antihypertensive medications (AHM) to control their blood pressure
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Hypertension or elevated BP = systolic BP ≥140 mmHg or their diastolic BP was ≥90 mmHg
Hypertension control = BP not elevated (BP < 140/90 mm Hg)
Key reasons for poor BP control
• patients lack awareness of their hypertension status• ineffective pharmacologic management - treatment inertia, and inadequate health
care system adoption and consistent implementation of evidence-based guidelines• poor patient adherence to their AHM therapy regimens due to numerous individual
and environmental factors
Hypertension – A Major Risk Factor in CVD
CONFIDENTIAL
Hypertension Awareness,
Treatment and Control, NHANES
2007-2012
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AMA Focus on Improving Health Outcomes
One of 3 focus areas under new strategic plan (2012)• Improving health outcomes
• Shaping new delivery and payment models
• Accelerating change in medical education
Improving health outcomes: Long-term goals• Prevent heart disease, stroke and type 2 diabetes
• Improve health outcomes for these conditions
AHM Visualization Project• The initial concept was to expand the AMA IHO web presence:
static visualizations of state-level data on AHM fills and spendingbe public facingresource for healthcare providers, public payers, and state health departmentssupplement AMA IHO research and publication agendas
• The analytic objective was to provide actionable insights and data on AHM cost burden and opportunities for improved AHM adherence:associations between AHM fills or spending and improvement in hypertension
outcomesvariation and trends in AHM prescribing behaviorphysician peer-group comparisonspotential AHM cost savings through expanded generic Rx programs and formulary
review
Mikan Associates – Adaptive Iterative Methodology
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Data Data Model ETL
Visualization MockupsConnected Dashboards
Final SolutionBusiness Objectives
Feedback• Define KPIs
Iterative Feedback to Ensure Solution Provides Value
Adaptive Iterative Methodology
• Begin with Business Objectives
• Identify key metrics
• Use mockup dashboards for iterative Visualization development
• Continuous feedback from users
• Mockup data first to confirm data model for source data
• Connect mockup dashboards to final data source
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Planned Data Visualization
Fill counts or spending by state, medication class, and year, by
• Brand/Generic
• Prescriber Type
• Payment Type
• Gender
• Age Group
• New vs. Refill
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Planned Data Visualization
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Fill counts or spending by state, medication class, and year, per 1,000
• Adults• Hypertensive Adults• Physicians• Non-Physicians
Status
• Building beta versions of the applications provided valuable first use cases and user experience feedback for refining the application
• Usability testing of the pre-production version is ongoing with publishing the interactive dashboards to the web in QII-2015
• Data update – 2014 data, new data structure
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