Medical AI Agents for Clinical Decision Support: Viewpoint Using the Planning, Action, Reflection, and Memory (PARM) Analytical Lens - Summary - MDSpire

AI-Driven Medical Agents for Enhancing Clinical Decision-Making: Analyzing Through the PARM Framework

  • By

  • Rasit Dinc

  • Nurittin Ardic

  • July 21, 2026

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Objective:

To synthesize current research on medical AI agents for clinical decision support by organizing the literature around the architectural dimensions of PARM.

Approach:
  • Literature Review: The study organizes existing research on medical AI agents using the PARM framework, focusing on planning, action, reflection, and memory components.
Key Findings:
  • Current multimodal CDSS applications often lack persistent memory and goal-directed behavior.
  • Advancements in large language models and multimodal foundation models enhance reasoning and interaction capabilities.
  • Medical AI agents are conceptualized as autonomous or semiautonomous entities within clinical workflows.
Interpretation:

The PARM framework provides a unified synthesis for understanding the evolution of medical AI agents in clinical decision support systems.

Limitations:
  • The study does not propose a new standard or formal framework.
  • Fragmentation in the literature makes it challenging to evaluate agent systems comprehensively.
Conclusion:

The study aims to provide conceptual clarity and practical guidance for the responsible development and deployment of medical AI agents in clinical practice.

Sources:

Original Source(s)

Medical AI Agents for Clinical Decision Support: Viewpoint Using the Planning, Action, Reflection, and Memory (PARM) Analytical Lens

  • by Rasit Dinc, Nurittin Ardic

  • July 21, 2026

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