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Guidance on Evaluating Options for Representing Clinical Data within Health Information Systems
Nicholas R Hardiker1, Brenda Hynes
1University of Salford, School of Nursing & Midwifery, Greater Manchester, UK.
PlunketPlus, a health information system, improved child health outcomes by optimizing clinical data representation. Lessons learned from this case study inform broader guidance for health information systems and data automation.
Area of Science:
- Health Informatics
- Clinical Data Management
- Health Information Systems
Background:
- PlunketPlus is a clinical initiative by the Royal New Zealand Plunket Society.
- Improving child health outcomes in New Zealand is a key goal.
- Effective data representation is crucial for PlunketPlus success.
Purpose of the Study:
- To use PlunketPlus as a case study.
- To inform guidance on evaluating clinical data representation options.
- To focus on automating informational processes in health information systems.
Main Methods:
- Case study analysis of the PlunketPlus system.
- Evaluation of clinical data representation strategies.
- Development of guidance for health information systems.
Main Results:
- Identified key considerations for clinical data representation.
- Developed initial generic guidance applicable across domains.
- Demonstrated application of guidance in PlunketPlus development.
Conclusions:
- Lessons from PlunketPlus can guide health information system development.
- Optimized data representation enhances system success and automation.
- The study provides a framework for evaluating data representation in healthcare.
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