Advancing Mobile Health Technologies in Chronic Disease Management and Patient Empowerment
APE, PTR, and DHRA, three revolutionary techniques in the Adaptive Mobile Health Framework (AMHF), empower patients and improve chronic illness management. These systems promote individualized treatment, quick risk assessment, and patient interaction to accomplish personalized healthcare goals. The PTR algorithm analyses the patient’s health, medical history, and preferences to offer the best treatment. This makes therapy personalized and relevant. The AMHF’s patient-centered treatment improves drug adherence and outcomes. DHRA software monitors patient health to determine health risks in real time. This lets the AMHF make quick, fact-based judgements. Chronic disease drugs work better when the system monitors and adjusts treatment regimens based on risk. Before sending personalized messages, the APE technology evaluates patient participation. By changing engagement tactics, including instructional aids, prompts, and supporting encouragement, the APE algorithm helps patients follow health programs and manage their health. Chronic disease management relies on the AUC-ROC statistic, and the PTR algorithm beats traditional methods. The DHRA program rapidly adjusts therapy as the patient’s condition changes. The APE algorithm’s engagement strategies improve chronic disease management by increasing patients’ treatment adherence and autonomy.
Authors
- Gopal Kaliyaperumal (ORCID: https://orcid.org/0000-0002-8277-256X)
- Natha Deepthi (ORCID: https://orcid.org/0000-0003-1241-203X)
- T Mounika
- Ginni Nijhawan
- Ali Albawi
- Saurabh Sharma (ORCID: https://orcid.org/0000-0002-2968-6574)
Institutions
- Lovely Professional University (IN)
- Aeronautical Development Agency (IN)
- Iraqi University (IQ)
- Birla Institute of Technology and Science - Hyderabad Campus (IN)
Publication Details
- Published
- 2024-09-18
- DOI
- https://doi.org/10.1109/ic3i61595.2024.10829010
- Citations
- 1
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.85