Novel Inpatient Automated Self-Adjusting Subcutaneous Insulin Algorithm: 3-Year Experience. An Observational Study
Patients had a lower proportion of both hypoglycemic and severely hyperglycemic measurements when their blood glucose levels were managed using the SQIA than when managed using conventional physician-driven insulin orders.
Authors
- Michael A. Kohn (ORCID: https://orcid.org/0000-0001-5459-5044)
- Robert J Rushakoff (ORCID: https://orcid.org/0000-0001-7502-9092)
- Esther Rov-Ikpah
- Cynthia Fenton (ORCID: https://orcid.org/0009-0001-6592-8745)
- Paras B. Mehta (ORCID: https://orcid.org/0000-0001-5434-5424)
- Suneil K. Koliwad (ORCID: https://orcid.org/0000-0002-7367-1054)
- Gwendolyn Lee (ORCID: https://orcid.org/0000-0002-0985-3195)
- Craig San Luis
- Craig T. Johnson
Institutions
- The University of Texas MD Anderson Cancer Center (US)
- University of California, San Francisco (US)
Publication Details
- Journal
- The Journal of Clinical Endocrinology & Metabolism
- Published
- 2025-06-24
- DOI
- https://doi.org/10.1210/clinem/dgaf376
- Citations
- 1
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 1.29
Funders
- National Institutes of Health
- University of California, San Francisco
- National Center for Advancing Translational Sciences