An open source tool to compute measures of inpatient glycemic control: translating from healthcare analytics research to clinical quality improvement
| Autor: | Mark Kevin Salloway, E-Shyong Tai, Shih Ling Kao, Prem Thomas, Yilin Ning, Chuen Seng Tan, Ying Chen, Maudrene L. S. Tan |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
business.product_category
Quality management AcademicSubjects/SCI01060 Computer science Application Notes media_common.quotation_subject 030209 endocrinology & metabolism Health Informatics USable quality improvement 03 medical and health sciences Upload 0302 clinical medicine Software Internet access Quality (business) 030212 general & internal medicine hospital Graphical user interface media_common business.industry hypoglycemia diabetes mellitus glycemic control The Internet blood glucose monitoring AcademicSubjects/SCI01530 business Software engineering AcademicSubjects/MED00010 |
| Zdroj: | JAMIA Open |
| ISSN: | 2574-2531 |
| Popis: | Objectives The objective of this study is to facilitate monitoring of the quality of inpatient glycemic control by providing an open-source tool to compute glucometrics. To allay regulatory and privacy concerns, the tool is usable locally; no data are uploaded to the internet. Materials and Methods We extended code, initially developed for healthcare analytics research, to serve the clinical need for quality monitoring of diabetes. We built an application, with a graphical interface, which can be run locally without any internet connection. Results We verified that our code produced results identical to prior work in glucometrics. We extended the prior work by including additional metrics and by providing user customizability. The software has been used at an academic healthcare institution. Conclusion We successfully translated code used for research methods into an open source, user-friendly tool which hospitals may use to expedite quality measure computation for the management of inpatients with diabetes. |
| Databáze: | OpenAIRE |
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