Data Visualization: New Health Data Value
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Transcript of Data Visualization: New Health Data Value
Data Visualization: New Health Data Value
Old School Data Set, Rebooted, Repurposed and Creating Killer New Value Health Datapalooza, June 2, 2015
Ramon MartinezAdviser in Health Metrics, Pan American Health Organization (PAHO)
[email protected] @HlthAnalysis
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Introduction• In health, sharing data will help save lives by
informing research, policies and decisions to improve prevention of diseases and delivery of healthcare.
• Health data sets should be shared with tools that facilitate data exploration and understanding
• Data Visualization New Value to Health Data
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Data Visualization is a product of
Data Analytic Process
and
Visual Analytic Cycle
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The analytic process
1. The question – public health issue or situation
2. Analytic framework
3. Identification of data sources
4. Analytic plan - methods
5. Analysis & interpretation of results
6. Communication of results and findings
7. Interventions – actions for improving health
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Visual Analytic Cycle
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Data set New value
Prevalence of Diabetes in Adults, 2013
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Objective: Assess the level and trends of the prevalence of diabetes worldwide
Source: International Diabetes Federation (IDF)
Analytics questions:1. How is the diabetes prevalence
distributed geographically? 2. Which countries have the highest
level of prevalence3. Is prevalence of diabetes related to
impaired glucose tolerance (IGT)
Prevalence of hypertension in the USObjective:
Identify areas with highest level of prevalence of high blood pressure
Source: Estimates of high blood pressure in the US. Institute of Health Metrics and Evaluation (IHME)
Analytic questions:1. How is hypertension distributed
across the US?2. Is there any geographic pattern?3. Which States and Counties
should we prioritize for cardiovascular disease program
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Some points to conclude• In health, sharing data will help save lives by informing
research, policies and decisions to improve prevention of diseases and delivery of healthcare.
• Share data sets and information visualizations for impact on a broader audience
• Interactive visualizations can encourage and enable people to explore underlying or contextual data to broaden understanding
• An interactive data visualization can tell a story or enable users to explore and find stories.