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.
Keywords: Big data; electronic health records; nursing informatics; pain.
© 2021 Sigma Theta Tau International.