IPDM has significant potential to improve diabetes management and drive health system reforms to become high-performing, effective, equitable, accessible, and sustainable. Evidence and good practices inspire health system transformation. Adopting person-centred approaches like co-creation and shared decision making enhances patient engagement and outcomes. Technological advances, including AI, are foreseen to improve diabetes care through automation and virtual clinics. Successful implementation requires a region-oriented approach, community-based co-creation, service redesign, and financial and regulatory alignment, adapted to local contexts. International collaboration can accelerate IPDM expansion.
Home / Publications / Publication
Home / Publications / Publication
PERSONALIZATION AND TECHNOLOGY IN DIABETES MANAGEMENT
Publication type: Article Summary
Original title: What is meant by ‘integrated personalized diabetes management’: A view into the future and what success should look like
Article publication date: February 2024
Source: Diabetes, Obesity and Metabolism: A Journal of Pharmacology and Therapeutics
Author: Nick Guldemond
What is the goal, target audience, and areas of digital health it addresses?
The goal of integrated personalized diabetes management (IPDM) is to leverage digital tools and technology to deliver tailored and comprehensive care specifically designed for individuals with diabetes mellitus (DM). This approach not only focuses on patients but also on professionals and caregivers. IPDM addresses several key areas within digital health, including data management, smartphone applications, medical devices, artificial intelligence (AI), telemedicine, and integrated service platforms.
What is the context?
The rising prevalence of chronic diseases, particularly DM, is straining global health systems and driving up healthcare costs due to the complexity of care and poor integration, resulting in inefficiencies and suboptimal outcomes. DM, a metabolic disorder characterized by high blood glucose levels, affects millions and can cause serious complications such as heart disease, stroke, blindness, chronic kidney failure, and limb amputation. Effective management of DM requires a comprehensive approach that includes medical treatment, prevention strategies, and addressing psychosocial and behavioral factors.
What does innovation consist of? How does technology support this innovation?
IPDM integrates primary, secondary, and tertiary healthcare with community services through patient stratification based on complexity and care needs, emphasizing person-centred services and interdisciplinary collaboration among healthcare professionals.
Technology supports IPDM by integrating several key components that enhance care delivery and patient outcomes. Data and information exchange is fundamental, enabling seamless data sharing across organizations through electronic health records. This infrastructure also incorporates the data from devices and smartphone applications, such as continuous glucose monitoring systems and insulin pumps, to facilitate real-time health monitoring and management. AI plays a crucial role by enhancing data analysis, predicting complications, and providing decision support, while ensuring data security, privacy, and transparency. Telemedicine offers remote consultations, education, and self-management support, particularly benefiting patients with limited mobility and in remote areas. Finally, integrated service platforms unify these technologies, providing an interoperable infrastructure where professionals, patients, and caregivers can share and access information, enabling coordinated care and effective communication.
What are the results obtained? What are the main conclusions?
The results of IPDM include improved quality of care and health outcomes for people with diabetes, with significant reductions in glycated haemoglobin (HbA1c) levels. Studies also report better interdisciplinary care collaboration, operational efficiency, and patient satisfaction. Meta-analyses suggest integrated care likely reduces costs and improves outcomes. Additionally, preliminary evidence indicates promising cost-effectiveness for digital components in IPDM, with positive feedback from both professionals and patients.
IPDM has significant potential to improve diabetes management and drive health system reforms to become high-performing, effective, equitable, accessible, and sustainable. Evidence and good practices inspire health system transformation. Adopting person-centred approaches like co-creation and shared decision making enhances patient engagement and outcomes. Technological advances, including AI, are foreseen to improve diabetes care through automation and virtual clinics. Successful implementation requires a region-oriented approach, community-based co-creation, service redesign, and financial and regulatory alignment, adapted to local contexts. International collaboration can accelerate IPDM expansion.
Would you like to know all the details?
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Home / Publications / Publication
PERSONALIZATION AND TECHNOLOGY IN DIABETES MANAGEMENT
Publication type: Article Summary
Original title: What is meant by ‘integrated personalized diabetes management’: A view into the future and what success should look like
Article publication date: February 2024
Source: Diabetes, Obesity and Metabolism: A Journal of Pharmacology and Therapeutics
Author: Nick Guldemond
What is the goal, target audience, and areas of digital health it addresses?
The goal of integrated personalized diabetes management (IPDM) is to leverage digital tools and technology to deliver tailored and comprehensive care specifically designed for individuals with diabetes mellitus (DM). This approach not only focuses on patients but also on professionals and caregivers. IPDM addresses several key areas within digital health, including data management, smartphone applications, medical devices, artificial intelligence (AI), telemedicine, and integrated service platforms.
What is the context?
The rising prevalence of chronic diseases, particularly DM, is straining global health systems and driving up healthcare costs due to the complexity of care and poor integration, resulting in inefficiencies and suboptimal outcomes. DM, a metabolic disorder characterized by high blood glucose levels, affects millions and can cause serious complications such as heart disease, stroke, blindness, chronic kidney failure, and limb amputation. Effective management of DM requires a comprehensive approach that includes medical treatment, prevention strategies, and addressing psychosocial and behavioral factors.
What does innovation consist of? How does technology support this innovation?
IPDM integrates primary, secondary, and tertiary healthcare with community services through patient stratification based on complexity and care needs, emphasizing person-centred services and interdisciplinary collaboration among healthcare professionals.
Technology supports IPDM by integrating several key components that enhance care delivery and patient outcomes. Data and information exchange is fundamental, enabling seamless data sharing across organizations through electronic health records. This infrastructure also incorporates the data from devices and smartphone applications, such as continuous glucose monitoring systems and insulin pumps, to facilitate real-time health monitoring and management. AI plays a crucial role by enhancing data analysis, predicting complications, and providing decision support, while ensuring data security, privacy, and transparency. Telemedicine offers remote consultations, education, and self-management support, particularly benefiting patients with limited mobility and in remote areas. Finally, integrated service platforms unify these technologies, providing an interoperable infrastructure where professionals, patients, and caregivers can share and access information, enabling coordinated care and effective communication.
What are the results obtained? What are the main conclusions?
The results of IPDM include improved quality of care and health outcomes for people with diabetes, with significant reductions in glycated haemoglobin (HbA1c) levels. Studies also report better interdisciplinary care collaboration, operational efficiency, and patient satisfaction. Meta-analyses suggest integrated care likely reduces costs and improves outcomes. Additionally, preliminary evidence indicates promising cost-effectiveness for digital components in IPDM, with positive feedback from both professionals and patients.
IPDM has significant potential to improve diabetes management and drive health system reforms to become high-performing, effective, equitable, accessible, and sustainable. Evidence and good practices inspire health system transformation. Adopting person-centred approaches like co-creation and shared decision making enhances patient engagement and outcomes. Technological advances, including AI, are foreseen to improve diabetes care through automation and virtual clinics. Successful implementation requires a region-oriented approach, community-based co-creation, service redesign, and financial and regulatory alignment, adapted to local contexts. International collaboration can accelerate IPDM expansion.
Would you like to know all the details?
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Share it with us and see it come to life.
We will help bring your projects to life!