作者
Don Roosan, Mazharul Karim, Jay Chok, Moom Roosan
发表日期
2020/2/26
研讨会论文
BIOSTEC20
出版商
http://www.insticc.org/node/TechnicalProgram/biostec/presentationDetails/89125
简介
Background
The majority of the electronic health record (EHR) contains a wealth of information, including unstructured notes. Healthcare professionals may be missing substantial portions of essential diagnostic and treatment information by not focusing on unstructured texts. The objective of this study is to present progress notes data using heatmap visualization.
Methods
In this study, the research team used the unstructured text from the progress notes of deidentified patient data. The research team conducted qualitative content-coding based on the clinical complexity model and developed a heatmap based on the processed frequency data.
Result
The researchers developed a color-coded heatmap focusing on the severity and acuity of patients’ status accumulated through multiple previous patient’s visits.
Conclusions
Future research into creating an automated process to generate the heatmap from an unstructured dataset can open up opportunities to operationalize big data in healthcare.
引用总数
2020202120222023202431911