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Integrating Methods to Evaluate Health Information Systems.

Heloá Costa Borim¹, Lilian Mie Mukai¹, Lucas Emanuel Silva E Oliveira¹

¹Health Technology Graduate Program PUCPR - Pontifical Catholic University of Paraná, PPGTS/PUCPR-Brazil.

Studies in Health Technology and Informatics

|August 12, 2015

Summary

This study integrates software quality evaluation with health domain specifics to create a new method for assessing Health Information Systems (HIS). The proposed approach enhances HIS evaluation by combining software quality and healthcare-specific aspects.

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Area of Science:

Health Informatics
Software Engineering
Information Systems Evaluation

Background:

Evaluating Health Information Systems (HIS) involves diverse methods, including software quality, human factors, and socio-technical approaches.
Existing HIS evaluation methods may not fully integrate software quality principles with healthcare-specific requirements.

Purpose of the Study:

To identify key aspects in HIS evaluation.
To explore relationships between software quality assessment and health domain-specific evaluations.
To propose an integrated HIS evaluation method.

Main Methods:

Exploratory study involving a literature search on HIS evaluation and software quality.
Application of International Organization for Standardization (ISO/IEC) norms for analysis.
Development of a novel evaluation method by integrating identified aspects.

Main Results:

Identified core aspects for HIS evaluation across different approaches.
Established a framework for integrating software quality and health domain evaluation criteria.
Successfully applied the integrated method to a natural language processing system for continuity of care analysis.

Conclusions:

An integrated approach combining software quality and health-specific evaluations offers a more comprehensive HIS assessment.
The proposed method provides a structured way to evaluate HIS, improving their effectiveness and reliability.
This integrated method can be applied to various HIS, including those using natural language processing for clinical data analysis.