VBC: Technology and Data-driven Improvement
Value-based care technology CME
Exclusively available to AAFP members
Precise risk identification and preventive strategies are crucial to managing chronic health conditions and reducing hospital readmissions.
This free-for-members CME will show you how to leverage health information technology to more effectively manage chronic conditions and prevent unnecessary hospital visits.
By using predictive analytics, you can:
- Identify high-risk patients.
- Apply risk stratification to reduce hospital readmissions.
- Implement lifestyle medicine strategies.
- Leveraging your electronic health record
- Continuously examining your data
- HCC and risk coding
- Leveraging payer information
- Leveraging performance measures for quality improvement
- Optimizing cost of care
- Clinical and social risk assessment
- Using data to care for populations
Precise risk identification and preventive strategies are crucial to managing chronic health conditions and reducing hospital readmissions.
This free-for-members CME will show you how to leverage health information technology to more effectively manage chronic conditions and prevent unnecessary hospital visits.
By using predictive analytics, you can:
- Identify high-risk patients.
- Apply risk stratification to reduce hospital readmissions.
- Implement lifestyle medicine strategies.
- Leveraging your electronic health record
- Continuously examining your data
- HCC and risk coding
- Leveraging payer information
- Leveraging performance measures for quality improvement
- Optimizing cost of care
- Clinical and social risk assessment
- Using data to care for populations
Learning Objectives
Utilize electronic health record systems (EHRs) and other data to support success in value-based care by streamlining patient management and optimizing care strategies, leading to better health outcomes and increased efficiencies in practice.
Analyze clinical data to identify trends and gaps in patient care.
Examine the risk adjustment processes including HCC coding and how it impacts family physicians.
Explore the types and limitations of payer data, reporting tools and patient health insights in a value-based care practice.
Strategically use performance measure data to identify opportunities for internal quality improvement.
Describe strategies that can be applied to manage total cost of care by primary care teams.
Identify high-risk patients using predictive analytics and reduce hospital readmissions through risk stratification.
Address health equity using data driven approaches to improve care for your patients.
Courses and faculty
AAFP Population Health Tools: Leveraging Your Electronic Health Record (EHR)
Minal W. Borsada, MD, QME
.75 CME credit
Data-driven Improvement—Continuously Examining Your Data
Yar Pye, MD, MBA
.5 CME credit
HCC and Risk Coding Documentation
Ryan Mullins, MD, CPE
1 CME credit
Leveraging Payer Information and Data for Value-based Success
Todd Prewitt, MD, FAAFP
.75 CME credit
Leveraging Performance Measures for Quality Improvement in Primary Care
Minal W. Borsada, MD, QME
.5 CME credit
Optimizing Total Cost of Care: Strategies for Primary Care Physicians and Their Teams
Soett Ramirez Estrada, MD, CMO
.75 CME credit
Risk Assessment: Clinical and Social
James Dom Dera, MD, FAAFP
.5 CME credits
Using Data to Care for Populations
Lelin Chao, MD
.75 Credits