Bringing complexity into clinical practice: An internistic approach

Area of Science:

• Gerontology
• Healthcare Management
• Systems Biology

Background:

• Modern medicine inadequately addresses clinical complexity (CC), an emerging challenge.
• Population aging and chronic diseases increase multimorbidity, a key but insufficient component of CC.
• CC results from dynamic interactions of intrinsic (age, frailty) and contextual (social, environmental) patient factors.

Purpose of the Study:

• To highlight the inadequacy of current medical approaches in managing clinical complexity.
• To redefine clinical complexity beyond multimorbidity, emphasizing interactive and dynamic factors.
• To underscore the need for enhanced medical education and research in managing CC.

Main Methods:

• Review of current understanding of clinical complexity.
• Analysis of the limitations of reductionist approaches in healthcare.
• Synthesis of factors contributing to patient complexity.

Main Results:

• Clinical complexity is a non-linear, unpredictable outcome of patient-intrinsic and contextual factor interactions.
• Current management strategies, focused on individual components, yield incomplete solutions.
• Existing medical education and care organization are unprepared for managing CC.

Conclusions:

• Managing clinical complexity requires a paradigm shift beyond single-disease and multimorbidity frameworks.
• Medical education must evolve to teach complexity science for better patient care.
• Future research should focus on quantifying CC and developing cost-effective management strategies.