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Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

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Planning: supporting and optimizing clinical guidelines execution.

Luca Anselma¹, Stefania Montani

¹Dipartimento di Informatica, Università di Torino, Torino, Italy.

Studies in Health Technology and Informatics

|September 23, 2008

Summary

This summary is machine-generated.

Computerized clinical guidelines (CGs) can be more than documents; they can become executable tools. Advanced Artificial Intelligence (AI) planning techniques enable CGs to support clinical decision-making and procedure execution.

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Published on: October 6, 2023

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Published on: April 11, 2018

Area of Science:

Computer Science
Artificial Intelligence
Health Informatics

Background:

Computerized clinical guidelines (CGs) are traditionally viewed as static documents.
There is a need to enhance CGs for active clinical support.

Purpose of the Study:

To explore the transformation of CGs into executable documents.
To investigate the application of AI planning techniques for CG enhancement.

Main Methods:

Representing CG actions and control flow in a semiformal language.
Adapting Artificial Intelligence (AI) planning techniques for CG implementation.

Main Results:

CGs can be developed as executable documents.
AI planning methods offer a pathway to enhance CG functionality.

Conclusions:

Executable CGs can actively support clinical decision-making and procedure execution.
Leveraging AI planning techniques is key to realizing the potential of advanced CGs.