Smart pens will improve insulin therapy
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Injection therapy is used by more than 80% of people with insulin-requiring diabetes.
“As injection therapy is used by more than 80% of people with insulin-requiring diabetes, there is a clear need for intuitive, integrated systems to help multiple daily injection (MDI) patients interpret CGM data into actionable management steps to reduce the burden of demanding self-care directives and support telemedicine (3, 6, 10-13).”
From Observed Glycemic and Psychosocial Benefits in the Prospective Bigfoot Unity Real World Study: A 6-Month Analysis (2025) · cites this paper as [13]
The paper’s discussion of insulin delivery (page not provided) says pens are the most widely used devices worldwide. It reports pump uptake of 12%–40% among people with type 1 diabetes in specified regions and says uptake is exceedingly low among people with type 2 diabetes. This supports the general point that injection therapy is common, but the paper does not establish the claimed figure of more than 80% of all people with insulin-requiring diabetes. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThere is a clear need for intuitive, integrated systems to help MDI patients interpret CGM data into actionable management steps to reduce the burden of demanding self-care directives and support telemedicine.
“As injection therapy is used by more than 80% of people with insulin-requiring diabetes, there is a clear need for intuitive, integrated systems to help multiple daily injection (MDI) patients interpret CGM data into actionable management steps to reduce the burden of demanding self-care directives and support telemedicine (3, 6, 10-13).”
From Observed Glycemic and Psychosocial Benefits in the Prospective Bigfoot Unity Real World Study: A 6-Month Analysis (2025) · cites this paper as [13]
In “The Future for Smart Pens,” the paper envisions connected devices that integrate diabetes data and support insulin-dose decisions; its Conclusion says decision support could reduce the day-to-day burden of diabetes care. It does not specifically discuss helping MDI patients turn CGM data into actionable steps or supporting telemedicine. It also does not give the citing sentence’s more-than-80% figure for injection therapy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
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- Authors
- Klonoff, D. C., & Kerr, D.
- Affiliations
- Mills Peninsula Health Services (US)
- Sansum Diabetes Research Institute (US)
- Corresponding author
- Klonoff, David C.
- Venue
- Journal of Diabetes Science and Technology
- Publisher
- SAGE Publications
- Published
- 2018-02-07
- Volume
- 12
- Issue
- 3
- Pages
- 551-553
- ISSN
- 1932-2968 (ISSN-L)
- PMC
- PMC6154228
- OpenAlex
- W2790317451
- Cited by
- 73
- References
- 11
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 4 · 2023: 14 · 2022: 11 · 2021: 13 · 2020: 13 · 2019: 8 · 2018: 1
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Journal of Diabetes Science and Technology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Sanofi
- Dexcom
- 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 › Emergency Medical Services › Patient Safety and Medication Errors
- Keywords
- smart pen, insulin therapy, insulin dose, diabetes management
- MeSH terms
- Diabetes Mellitus, Humans, Hypoglycemic Agents, Injections, Subcutaneous, Insulin, Microcomputers
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