Population Health Analytics is about more than just identifying a group of patients. It involves helping physicians care for their patients as individuals, improving their own practice through evidence-based best practices, and enacting cultural change that results in better outcomes for entire populations. Population Health Analytics—with the capability to look at one patient at a time and one physician at a time—will enable providers and organizations to answer three important questions: 1) What best practices should I be doing with this population? 2) How well am I following these best practices with this population? And 3) How can I change to create better outcomes for this population?
In addition to addressing these population health questions, please join Tom Burton, Co-Founder and Senior Vice President of Product Development, Health Catalyst, as he discusses Population Health Analytics and presents the Three Systems Model of Care Delivery. Tom will share Health Catalyst’s experiences and learning’s and why each system is essential to create long-term change and transform healthcare.
Attendees of the webinar will:
Learn about the Three Systems Model of Care Delivery required for effective Population Health Analytics. Understand the issues that must be addressed at each stage in order to optimize care delivery.
Discover the role analytics play in enabling physicians to deliver better care to their patients leading to improved outcomes for an entire population of the patients.
In the future, healthcare executives with a solid Population Health Analytics system will be better prepared to deliver better outcomes and more efficient care. Both will be key for succeeding with payment models based on risk, value, and performance.
40. Organizational Assessment I October 15, 2014 I 40
Readiness Assessment Example
1) Data Access
Process
2) Registry
Definition Process
3) Data
Governance &
Data Quality
Process
4) Sustained Care
Improvement
Process
5) Standardized Criteria
for Treatment & Venue
6) Cost Allocation
Methodology
12) Data Integration
Infrastructure
11) Missing Data
Element Capture
10) Data-driven
Prioritization
9) Prescriptive
Modeling
8) Standardized
Calculations & Definitions
for Internal Reporting
7) Standardized
Protocols for Population Health
Deployment
Content
Analytics