학술논문
An open source tool to compute measures of inpatient glycemic control: translating from healthcare analytics research to clinical quality improvement
Application Notes
Application Notes
Document Type
Academic Journal
Author
Source
JAMIA Open. April 2021, Vol. 4 Issue 2
Subject
Language
English
ISSN
2574-2531
Abstract
INTRODUCTION Inpatient glycemic management is a key part of care of hospitalized patients with diabetes mellitus (DM). An association of poor clinical outcomes (including death) with hypoglycemia and hyperglycemia has [...]
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. Key words: hospital, glycemic control, quality improvement, blood glucose monitoring, hypoglycemia, diabetes mellitus
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. Key words: hospital, glycemic control, quality improvement, blood glucose monitoring, hypoglycemia, diabetes mellitus