Utilizing the Learning Health System Adaptation to guide Family Medicine Practice to COVID-19 response

Area of Science:

• Primary Care Medicine
• Public Health Preparedness
• Health Systems Science

Background:

• Community-based COVID-19 quarantine care is primarily managed by primary care practices.
• Existing guidance is insufficient for primary care practices facing high patient screening volumes during the pandemic.

Purpose of the Study:

• To adapt Learning Health System (LHS) guidance for a primary care setting.
• To develop an efficient, effective, and adaptive pandemic response model for primary care.

Main Methods:

• Examined National Academies of Science, Engineering, and Medicine's LHS guidance.
• Adapted LHS principles to a specific primary care practice context.
• Developed a framework for pandemic responsiveness in primary care.

Main Results:

• Successfully adapted LHS guidance to create a responsive primary care pandemic model.
• The adapted model facilitates efficient and effective management of COVID-19 patients.
• The framework supports adaptive strategies for ongoing pandemic challenges.

Conclusions:

• Primary care practices can leverage LHS principles for pandemic preparedness.
• The adapted model offers a scalable solution for community-based COVID-19 care.
• Future evaluation is recommended to assess the model's long-term effectiveness and efficiency.