identifying and engaging risk stratified patient populations
TRANSCRIPT
popyoulusIdentifying and Engaging Risk Stratified Patient Populations
Dr. Stephen Wallace
President
BizLitics LLCConfidential
Solution Overview
Confidential
Patient Master
Lab Data
Encounter Data
Medication Data
Population Health Analytics EDW
Population Health Registry
Filters
Health Risk Filters
Alteryx ETL
Population HealthRegistry / EDW
ERM / EDW
Advanced Visualizations
Patient Relationship Management
Robust Patient Profile
Patient Clinical Data
Patient Cost Data
Patient Demographic
Data
Patient Lifestyle
Data
Patient Behavioral
Data
Patient Attitudinal
Data
Medical Data Socio-Demographic Data Engagement Data
Step 1: Identify Available Data From Multiple Sources to Build Patient Profiles
Confidential
Step 2: Run Data Blending Scripts to Build Disease
Specific Patient Registries
Confidential
Read Patient Master File
Create Patient Registry for Specific Diagnosis
Filter Patients with Specific
Diagnosis
Step 3: Run Data Blending Scripts
to Define and Assign Risk Flags
Confidential
Write Risk Scores to Population Health DB
Analyze BP from Last Encounter
Flag High-BP Patients
Analyze Lab Data from Last Blood Draw. Flag High-LDL-C Patients
Analyze Lab Data from Last Blood Draw. Flag High-HBA1c Patients
Read Patient Master File
Step 4: Use Data Visualizations to Identify Patterns and Opportunity Areas
ConfidentialSynthetic Data
Confidential
Step 5: Use Patient Relationship Management Platform to Engage Patients
Synthetic Data
About BizLitics:
Established in 2009, BizLitics specializes in business analytics based solutions and services. We develop and deliver end to end solutions that include: Data analysis and assessment; data integration and blending; database warehouse design and development; and advanced data visualizations that present data in a way that provides insight and clarity.
Confidential