Information Model on Pain Management: An Analysis of Big Data

Purpose To develop an information model to support secondary use of data using electronic health records. Design Retrospective observational data‐driven study with secondary use of data. The sample was composed of structured data from all adults admitted to clinical and surgical inpatient units of a...

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Bibliographic Details
Published in:Journal of nursing scholarship 2021-05, Vol.53 (3), p.270-277
Main Authors: Nomura, Aline Tsuma Gaedke, Abreu Almeida, Miriam, Pruinelli, Lisiane
Format: Article
Language:English
Subjects:
Big Data
Clinical assessment
Clinical decision making
Computerized medical records
Data analysis
Decision making
Electronic health records
Health records
Hospitals
Information systems
Inpatient care
Mapping
Nursing
nursing informatics
Pain
Pain management
Patients
Science
Structured Query Language-SQL
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Summary:Purpose To develop an information model to support secondary use of data using electronic health records. Design Retrospective observational data‐driven study with secondary use of data. The sample was composed of structured data from all adults admitted to clinical and surgical inpatient units of a public university hospital. Data between June 2014 and July 2019 were included, totaling approximately 51,000 unique patients. Methods Six systematic steps of the Applied Healthcare Data Science Roadmap were applied. Findings An information model on pain management was developed. Conclusions The data science methodology used allowed the development of information model in pain management, mapping attributes about pain management and to categorize them into assessment and reassessment, goals, interventions, and outcomes. Clinical Relevance Based on the information model developed, it is possible to optimize the electronic health system and improve the quality of patient care delivery in pain management.
ISSN:1527-6546
1547-5069
DOI:10.1111/jnu.12638