ArticleDiabetes technology & therapeutics2015
Standardized Glycemic Management with a Computerized Workflow and Decision Support System for Hospitalized Patients with Type 2 Diabetes on Different Wards.
Article in Diabetes technology & therapeutics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07664293 (Comparison of the Safety and Efficacy of the Far Eastern Memorial Hospital Electronic Glucose Management System), which is not on this map. Cited by 32 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Comparison of the Safety and Efficacy of the Far Eastern Memorial Hospital Electronic Glucose Management System (eGMS) With Conventional Subcutaneous Basal-Bolus Insulin Protocol in Ordinary Ward Patients: A Prospective Randomized Controlled Trial
Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- [Hospital diabetes management (Update 2026)].Wiener klinische Wochenschrift · 2026Guideline
- Comparison of weight-based insulin titration (WIT) and glucose-based insulin titration using basal-bolus algorithm in hospitalized patients with type 2 diabetes: a multicenter, randomized, clinical study.BMJ open diabetes research & care · 2020Trial
- GlucoTab-guided insulin therapy using insulin glargine U300 enables glycaemic control with low risk of hypoglycaemia in hospitalized patients with type 2 diabetes.Diabetes, obesity & metabolism · 2019Trial
- Feasibility and safety of using an automated decision support system for insulin therapy in the treatment of steroid-induced hyperglycemia in patients with acute graft-versus-host disease: A randomized trial.Journal of diabetes investigation · 2019Trial
- A Mobile Computerized Decision Support System to Prevent Hypoglycemia in Hospitalized Patients With Type 2 Diabetes Mellitus.Journal of diabetes science and technology · 2017Trial
- Effects of a Digital Decision Support System on Diabetes Management in a Real-World Home Care Setting: Prospective Quasi-Experimental Feasibility and Implementation Study.JMIR nursing · 2026Article
- Algorithm-guided insulin therapy in hospitalized patients: current evidence, implementation challenges, and future perspectives.Reviews in endocrine & metabolic disorders · 2026Review
- Article
- Artificial Intelligence in Diabetes Care: Applications, Challenges, and Opportunities Ahead.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025Review
- Inpatient Insulin Dosing Calculators.Diabetes spectrum : a publication of the American Diabetes Association · 2025Article
- Applications of Clinical Decision Support Systems in Diabetes Care: Scoping Review.Journal of medical Internet research · 2023Article
- Efficacy and safety of basal-bolus insulin at 1:1.5 ratio compared to 1:1 ratio using a weight-based initiation and titration (WIT2) algorithm in hospitalized patients with type 2 Diabetes: a multicenter, randomized, clinical study.Diabetology & metabolic syndrome · 2023Article
- AI-supported insulin dosing for type 2 diabetes.Nature medicine · 2023Article
- [Hospital diabetes management (Update 2023)].Wiener klinische Wochenschrift · 2023Article
- Clinical Decision Support for Diabetes Care in the Hospital: A Time for Change Toward Improvement of Management and Outcomes.Journal of diabetes science and technology · 2022Article
- Digital algorithm-guided insulin therapy in home healthcare for elderly persons with type 2 diabetes: A proof-of-concept study.Frontiers in clinical diabetes and healthcare · 2022Article
- Electronic Diabetes Management System Replaces Paper Insulin Chart: Improved Quality in Diabetes Inpatient Care Processes Due to Digitalization.Journal of diabetes science and technology · 2021Article
- Safe and Sufficient Glycemic Control by Using a Digital Clinical Decision Support System for Patients With Type 2 Diabetes in a Routine Setting on General Hospital Wards.Journal of diabetes science and technology · 2021Article
- Article
- Inpatient Hypoglycemia: The Challenge Remains.Journal of diabetes science and technology · 2020Review
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study investigated the efficacy, safety, and usability of standardized glycemic management by a computerized decision support system for non-critically ill hospitalized patients with type 2 diabetes on four different wards. MATERIALS AND
methodsIn this open, noncontrolled intervention study, glycemic management of 99 patients with type 2 diabetes (62% acute admissions; 41 females; age, 67±11 years; hemoglobin A1c, 65±21 mmol/mol; body mass index, 30.4±6.5 kg/m(2)) on clinical wards (Cardiology, Endocrinology, Nephrology, Plastic Surgery) of a tertiary-care hospital was guided by GlucoTab(®) (Joanneum Research GmbH [Graz, Austria] and Medical University of Graz [Graz, Austria]), a mobile decision support system providing automated workflow support and suggestions for insulin dosing to nurses and physicians.
resultsAdherence to insulin dosing suggestions was high (96.5% bolus, 96.7% basal). The primary outcome measure, percentage of blood glucose (BG) measurements in the range of 70-140 mg/dL, occurred in 50.2±22.2% of all measurements. The overall mean BG level was 154±35 mg/dL. BG measurements in the ranges of 60-70 mg/dL, 40-60 mg/dL, and <40 mg/dL occurred in 1.4%, 0.5%, and 0.0% of all measurements, respectively. A regression analysis showed that acute admission to the Cardiology Ward (+30 mg/dL) and preexisting home insulin therapy (+26 mg/dL) had the strongest impact on mean BG. Acute admission to other wards had minor effects (+4 mg/dL). Ninety-one percent of the healthcare professionals felt confident with GlucoTab, and 89% believed in its practicality and 80% in its ability to prevent medication errors.
conclusionsAn efficacious, safe, and user-accepted implementation of GlucoTab was demonstrated. However, for optimized personalized patient care, further algorithm modifications are required.
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