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Information Model on Pain Management: An Analysis of Big Data
Author(s) -
Nomura Aline Tsuma Gaedke,
Abreu Almeida Miriam,
Pruinelli Lisiane
Publication year - 2021
Publication title -
journal of nursing scholarship
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.009
H-Index - 80
eISSN - 1547-5069
pISSN - 1527-6546
DOI - 10.1111/jnu.12638
Subject(s) - observational study , categorization , psychological intervention , relevance (law) , medicine , data management , pain management , health care , sample (material) , computer science , data science , data mining , nursing , physical therapy , artificial intelligence , chemistry , pathology , chromatography , economic growth , political science , law , economics
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.