Conference proceeding
Identifying De Facto Prescription Norms from Clinical Data
2019 IEEE International Conference on Healthcare Informatics (ICHI), pp.1-1
06/2019
DOI: 10.1109/ICHI.2019.8904855
Abstract
The need to study and analyze prescriptions is becoming increasingly important with the growing world population and expansions in medical intervention. The goal of my research is to study/analyze patient prescription data along with clinical notes and propose the notion of a data-driven community "norm" that can assist clinical decision makers. A norm represents the collective prescription patterns of a hospital community with regards to a class of drugs.
Details
- Title: Subtitle
- Identifying De Facto Prescription Norms from Clinical Data
- Creators
- Syeda Momina Tabish - University of Iowa,Department of Computer Science,Iowa,USAPadmini Srinivasan - University of Iowa,Department of Computer Science,Iowa,USA
- Resource Type
- Conference proceeding
- Publication Details
- 2019 IEEE International Conference on Healthcare Informatics (ICHI), pp.1-1
- DOI
- 10.1109/ICHI.2019.8904855
- eISSN
- 2575-2634
- Publisher
- IEEE
- Language
- English
- Date published
- 06/2019
- Academic Unit
- Nursing; Computer Science; Business Analytics
- Record Identifier
- 9984003010202771
Metrics
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