Cited by 30Diabetes Management and ResearchDiabetes Management and EducationMobile Health and mHealth Applications

Insulclock : A Novel Insulin Delivery Optimization and Tracking System

Gomez-Peralta, Fernando, Abreu, Cristina, Gomez-Rodriguez, Sara, Ruiz, Luis·2019·Diabetes Technology & Therapeutics

Abstract

Background: Achieving and maintaining controlled glycemic levels are challenging in people with insulin-treated diabetes mellitus, suboptimal insulin injections being the main obstacle to treatment success. Methods: This research article presents the main functionalities and performance tests on Insulclock ® , an electronic device plugged into insulin pens and connected with a smartphone app to improve insulin management. Insulclock tracks the date, time of day, dose, type of insulin, temperature, and duration of insulin injections. Information is stored in the device memory and is available for analysis by patients and health care providers. Insulclock device also has a reminder system with visual and acoustic alerts to reduce insulin omissions and mistiming. Results: The main performance tests reveal that Insulclock can detect seven types of insulin pens with a 97% correct classification rate. Among 556 injections, most of the doses were accurately detected (deviation = 0), with relative errors ranging from 3% to 7% across different dosages. The duration of injections recorded by this device strongly correlated with that detected by an external chronometer ( R 2 = 0.99, root-mean-square deviation [RMSD] = 0.39). Moreover, the precision of the temperature sensor was evidenced by high correlation of temperatures detected by Insulclock and by an external thermometer (Pearson's R 2 = 0.90, RMSD = 0.45). Conclusions: Insulclock: is a novel device capable of tracking dosing, timing, and missing insulin injections. The promising capabilities it offers for diabetes mellitus self-management may help health care providers, researchers, and insulin users avoid frequent errors in insulin administration.

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Crossref · 10.1089/dia.2018.0361

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Authors
Gomez-Peralta, F., Abreu, C., Gomez-Rodriguez, S., & Ruiz, L.
Affiliations
  • Endocrinology and Nutrition Unit, Segovia General Hospital, Segovia, Spain.
  • Hospital General De Segovia (ES)
  • Insulcloud S.L. (B87131454), Madrid, Spain.
Venue
Diabetes Technology & Therapeutics
Published
2019-04
Volume
21
Issue
4
Pages
209-214
ISSN
  • 1520-9156 (ISSN-L)
  • 1557-8593
OpenAlex
W2924520224
Cited by
30
References
32
Citations by year
2026: 3 · 2025: 3 · 2024: 5 · 2023: 5 · 2022: 5 · 2021: 3 · 2020: 5 · 2019: 1
FWCI
2.84
Type
journal article
Language
en
Open access
closed
Locations
  • Diabetes Technology & Therapeutics (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Bristol-Myers Squibb
  • Sanofi
  • European Commission
  • Novo Nordisk
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
insulin pens, insulin omission, injection timing, temperature sensing, diabetes self-management, mobile application, glycemic control
MeSH terms
Diabetes Mellitus, Type 1, Humans, Hypoglycemic Agents, Injections, Insulin, Drug Delivery Systems

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