A strengths-based data capture model: mining data-driven and person-centered health assets.

Area of Science:

• Health Services Research
• Nursing Informatics
• Public Health

Background:

• Value-based care policies emphasize risk assessment and management in healthcare.
• Current problem-based data models overlook crucial health assets and strengths.
• This limitation hinders comprehensive risk evaluation and person-centered care.

Purpose of the Study:

• To explore and illustrate a strengths-based data capture model for risk assessment and management.
• To integrate data-driven, person-centered health assets using the Omaha System.
• To promote a holistic view of patient data, including strengths, at individual and population levels.

Main Methods:

• Utilizing the Omaha System for data capture.
• Developing a strengths-based data model for risk assessment.
• Harnessing data-driven and person-centered health assets.

Main Results:

• The proposed model enables the capture of whole-person data, including health assets and strengths.
• Facilitates a shift from problem-focused to strengths-based risk assessment.
• Supports the development of strengths-based population health metrics.

Conclusions:

• Incorporating a strengths-based model enhances risk assessment and management by including health assets.
• This approach supports data-driven, person-centered care evaluation.
• Aggregated strengths data can inform population health metrics for improved outcomes and value.