Development of coded action concepts to support workload and cost prediction applications.

Area of Science:

• Health Informatics
• Medical Terminology
• Healthcare Management

Background:

• Patient care standards contain complex directives that are challenging to standardize.
• Current methods for predicting patient workload and costs lack precision.
• Encoding care actions requires a structured and comprehensive approach.

Purpose of the Study:

• To propose a compositional terminology model for encoding care-directive concepts (actions) from patient care standards.
• To establish a framework for predicting patient workload and cost based on these encoded actions.

Main Methods:

• Development of a compositional terminology model.
• Encoding of care actions using work items and model elements.
• Utilizing projected total actions for workload and cost prediction.

Main Results:

• A structured method for representing care actions from patient care standards.
• Identification of implied financial value within care actions.
• Foundation laid for accurate workload and cost prediction models.

Conclusions:

• The proposed model offers a novel approach to standardizing and quantifying patient care actions.
• This methodology can significantly improve the accuracy of healthcare workload and cost estimations.
• Enables better resource allocation and financial planning in patient care settings.