Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Anand K. Iyer"'
Autor:
Abhimanyu B Kumbara, Anand K Iyer, Courtney R Green, Lauren H Jepson, Keri Leone, Jennifer E Layne, Mansur Shomali
Publikováno v:
JMIR Diabetes, Vol 8, p e47638 (2023)
BackgroundThe BlueStar (Welldoc) digital health solution for people with diabetes incorporates data from multiple devices and generates coaching messages using artificial intelligence. The BlueStar app syncs glucose data from the G6 (Dexcom) real-tim
Externí odkaz:
https://doaj.org/article/8a62bd6ba1bb4824b71a02ca063b0a55
Autor:
Abhimanyu B Kumbara, Anand K Iyer, Courtney R Green, Lauren H Jepson, Keri Leone, Jennifer E Layne, Mansur Shomali
BACKGROUND Digital health solutions for diabetes management have been shown to improve glycemic outcomes but there are limited data on program engagement. The Welldoc® BlueStar® digital health solution incorporates data from multiple devices and ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a795ce1fa090a301cbd305e850a38a87
https://doi.org/10.2196/preprints.47638
https://doi.org/10.2196/preprints.47638
Autor:
Anand K. Iyer
Publikováno v:
Digital Therapeutics ISBN: 9781003017288
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::396b0121bea34f22890caca20650027b
https://doi.org/10.1201/9781003017288-11
https://doi.org/10.1201/9781003017288-11
Autor:
Michelle Dugas, Mansur Shomali, Weiguang Wang, Guodong Gordon Gao, Anand K. Iyer, Kenyon Crowley, Malinda Peeples
Publikováno v:
J Diabetes Sci Technol
Background: Digital health solutions targeting diabetes self-care are popular and promising, but important questions remain about how these tools can most effectively help patients. Consistent with evidence of the salutary effects of note-taking in e
Autor:
Abhimanyu Kumbara, Michelle Dugas, Shiping Liu, Kenyon Crowley, Mansur Shomali, Malinda Peeples, Guodong Gao, Anand K. Iyer
Publikováno v:
Diabetes. 70
Introduction: Many CGM users find the magnitude and complexity of their data challenging. We developed an AI method for detecting and classifying discernable self-management events reflected in CGM data. Methods: Machine learning and signal detection
Autor:
Mansur Shomali, Shiping Liu, Michelle Dugas, Kenyon Crowley, Abhimanyu Kumbara, Malinda Peeples, Guodong Gao, Anand K. Iyer
Publikováno v:
Diabetes. 70
Introduction: The Ambulatory Glucose Profile (AGP) visualizes and summarizes complex CGM data and contains multiple and often difficult to interpret measures. Our objective was to create a simple visual summary of the data that can provide insights f
Autor:
Anand K. Iyer, Malinda Peeples
Publikováno v:
Mhealth Innovation ISBN: 9781003192893
Mhealth Innovation
Mhealth Innovation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f087afe7f05344517da847811a1fcf4f
https://doi.org/10.4324/9781003192893-18
https://doi.org/10.4324/9781003192893-18
Publikováno v:
J Diabetes Sci Technol
Autor:
Anand K. Iyer, Weiguang Wang, Malinda Peeples, Guodong Gao, Kenyon Crowley, Mansur Shomali, Michelle Dugas
Publikováno v:
Diabetes. 68
Objective: Digital therapeutics manage chronic diseases by leveraging structured data like blood glucose/pressure, diet, etc. Addition of free-text notes associated with this data may help patients/providers make sense of trends by tracking unique co
Publikováno v:
Diabetes. 67
The healthcare industry has had limited success in translating the value of innovative diabetes interventions into true economic return on investment. Our objective was to determine the value of improving diabetes outcomes and then to apply those val