Using digital tools to improve diabetes care in India with continuous glucose monitoring

Continuous glucose monitoring (CGM) has revolutionized diabetes management globally, offering real-time insights into blood glucose levels and trends. In India, where diabetes prevalence is significant, the adoption of digital health tools (DHTs) for CGM has seen remarkable growth. However, successful integration and adoption of these DHTs require collaboration between healthcare professionals and individuals with diabetes. Ensuring the compatibility, accuracy, and reliability of CGM systems is imperative for optimizing diabetes management outcomes in India. Several challenges persist in adopting DHTs for CGM in the country. The adoption of ambulatory glucose profiles and CGM using DHTs has been transformative in diabetes clinics. This paper culminates with expert recommendations on integrating DHTs into diabetes clinics, focusing on training, communication, and technology utilization. The introduction of the Freestyle<sup>®</sup> Libre into diabetes clinics demonstrates the system's influence and the advantages seen by both patients and healthcare professionals. With real-time data, improved patient interaction, real-world data for evidence-based practices, and the ability to support patients' and healthcare professionals' informed decision-making, these tools have the potential to completely transform the management of diabetes. The goal is to enhance diabetes care through digital health solutions, considering the unique healthcare landscape of India.

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Publication Details

Journal
Therapeutic Advances in Endocrinology and Metabolism
Published
2025-09-01
DOI
https://doi.org/10.1177/20420188251372290
Citations
1
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
2.94
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article

Using digital tools to improve diabetes care in India with continuous glucose monitoring

Jothydev Kesavadev, MANGESH HARIHAR TIWASKAR, Timothy C. Dunn, Manoj S Chawla et al.
1 citations
Therapeutic Advances in Endocrinology and Metabolism
Artificial Intelligence in Healthcare
2.94
article

Using digital tools to improve diabetes care in India with continuous glucose monitoring

Jothydev Kesavadev, MANGESH HARIHAR TIWASKAR, Timothy C. Dunn, Manoj S Chawla, AG Unnikrishnan, Banshi Saboo
article en
1 citations

Abstract

Continuous glucose monitoring (CGM) has revolutionized diabetes management globally, offering real-time insights into blood glucose levels and trends. In India, where diabetes prevalence is significant, the adoption of digital health tools (DHTs) for CGM has seen remarkable growth. However, successful integration and adoption of these DHTs require collaboration between healthcare professionals and individuals with diabetes. Ensuring the compatibility, accuracy, and reliability of CGM systems is imperative for optimizing diabetes management outcomes in India. Several challenges persist in adopting DHTs for CGM in the country. The adoption of ambulatory glucose profiles and CGM using DHTs has been transformative in diabetes clinics. This paper culminates with expert recommendations on integrating DHTs into diabetes clinics, focusing on training, communication, and technology utilization. The introduction of the Freestyle<sup>®</sup> Libre into diabetes clinics demonstrates the system's influence and the advantages seen by both patients and healthcare professionals. With real-time data, improved patient interaction, real-world data for evidence-based practices, and the ability to support patients' and healthcare professionals' informed decision-making, these tools have the potential to completely transform the management of diabetes. The goal is to enhance diabetes care through digital health solutions, considering the unique healthcare landscape of India.

Therapeutic Advances in Endocrinology and MetabolismVol. 16
Shilpa (India) (IN), Diabetes Care and Research Foundation (IN), Diabetes Care Center (US), Diabetes Care & Hormone Clinic (IN), Jothydev's Diabetes and Research Center (IN), Abbott Diabetes Care (United States)
Openalex Percentile: Top 7%
Artificial Intelligence in Healthcare
2.94
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