ARCHIVES
Original Article
A Prospective Feasibility Evaluation of an AI-Assisted Clinical Decision Support Intervention for Diagnosis and Triage in a Semi-Urban Healthcare Setting
Dr. Vishala Bodetti, Nrip Nihalani1
Aditya Patkar , Dr. Kiranjit Singh2
Kishan Gor, Dr. Praful Tamrakar3
Dr. Naryan Prasad Tamrakar, Dr. Vimal Pumposh4
Anvit More, Sourabh Lalwani5
1 AI Medical Lead, Plus91 Technologies Pvt Ltd, Pune, Maharashtra, India. 1 Director, Plus91 Technologies Pvt Ltd, Pune, Maharashtra, India. 2 CEO, Plus91 Technologies Pvt Ltd, Pune, Maharashtra, India. 2 Senior Consultant, Jehangir Hospital, Pune, Maharashtra, India. 3 VP, AI Solution Architect, Plus91 Technologies Pvt Ltd, Maharashtra, Pune, India. 3 Director, Mahadev Nursing Home, Funda, Chhattisgarh, India. 4 Managing Director, Mahadev Nursing Home, Chhattisgarh, India. 4 Medical Director, Plus91 Technologies Pvt Ltd, Pune, Maharashtra, India 5 Junior AI Engineer, Plus91 Technologies Pvt Ltd, Pune, Maharashtra, India.
Published Online: July-August 2026
Pages: 07-12
Cite this article
↗ https://www.doi.org/10.59256/ijire.20260704002
References
1. International Institute for Population Sciences (IIPS) and ICF. National Family Health Survey (NFHS-5), 2019–21: India. Mumbai: IIPS; 2021. Available at: http://rchiips.org/nfhs/
2. Ministry of Health and Family Welfare, Government of India. Health Dynamics of India (Infrastructure & Human Resources) 2022–23. New Delhi: MoHFW; 2023. Available at: https://www.mohfw.gov.in/?q=en/reports-23
3. Ministry of Health and Family Welfare, Government of India. Rural Health Statistics 2021–22. New Delhi: MoHFW; 2022. Available at: https://ruralindiaonline.org/en/library/resource/rural-health-statistics-2021-22/
4. World Health Organization. Global Strategy on Digital Health 2020–2024. Geneva: WHO; 2021. Available at: https://www.who.int/docs/default-source/documents/gs4dhdaa2a9f352b0445bafbc79ca799dce4d.pdf
5. Berner ES, La Lande TJ. Overview of clinical decision support systems. In: Berner ES, editor. Clinical Decision Support Systems: Theory and Practice. New York: Springer; 2007. p. 3–22. doi:10.1007/978-0-387-38319-4_1
6. Ndlovu K, Stein N, Gaopelo R, et al. Evaluating the feasibility and acceptance of a mobile clinical decision support system in a resource-limited country: exploratory study. JMIR Form Res. 2023;7:e48946. doi:10.2196/48946
7. Xiong S, Lu H, Peoples N, et al. Digital health interventions for non-communicable disease management in primary health care in low- and middle-income countries. NPJ Digit Med. 2023;6:12. doi:10.1038/s41746-023-00764-4
8. Moja L, Kwag KH, Lytras T, et al. Effectiveness of computerised decision support systems linked to electronic health records: a systematic review and meta-analysis. Am J Public Health. 2014;104(12):e12–22. doi:10.2105/AJPH.2014.302164
9. Kwan JL, Lo L, Ferguson J, et al. Computerised clinical decision support systems and absolute improvements in care: meta-analysis of controlled clinical trials. BMJ. 2020;370:m3216. doi:10.1136/bmj.m3216
10. Shabeer Ali Thorakkattil et al. Clinical decision support systems in Indian healthcare settings: benefits, barriers, and future implications. Healthcare (Basel). 2025;13(17):2220. doi:10.3390/healthcare13172220
2. Ministry of Health and Family Welfare, Government of India. Health Dynamics of India (Infrastructure & Human Resources) 2022–23. New Delhi: MoHFW; 2023. Available at: https://www.mohfw.gov.in/?q=en/reports-23
3. Ministry of Health and Family Welfare, Government of India. Rural Health Statistics 2021–22. New Delhi: MoHFW; 2022. Available at: https://ruralindiaonline.org/en/library/resource/rural-health-statistics-2021-22/
4. World Health Organization. Global Strategy on Digital Health 2020–2024. Geneva: WHO; 2021. Available at: https://www.who.int/docs/default-source/documents/gs4dhdaa2a9f352b0445bafbc79ca799dce4d.pdf
5. Berner ES, La Lande TJ. Overview of clinical decision support systems. In: Berner ES, editor. Clinical Decision Support Systems: Theory and Practice. New York: Springer; 2007. p. 3–22. doi:10.1007/978-0-387-38319-4_1
6. Ndlovu K, Stein N, Gaopelo R, et al. Evaluating the feasibility and acceptance of a mobile clinical decision support system in a resource-limited country: exploratory study. JMIR Form Res. 2023;7:e48946. doi:10.2196/48946
7. Xiong S, Lu H, Peoples N, et al. Digital health interventions for non-communicable disease management in primary health care in low- and middle-income countries. NPJ Digit Med. 2023;6:12. doi:10.1038/s41746-023-00764-4
8. Moja L, Kwag KH, Lytras T, et al. Effectiveness of computerised decision support systems linked to electronic health records: a systematic review and meta-analysis. Am J Public Health. 2014;104(12):e12–22. doi:10.2105/AJPH.2014.302164
9. Kwan JL, Lo L, Ferguson J, et al. Computerised clinical decision support systems and absolute improvements in care: meta-analysis of controlled clinical trials. BMJ. 2020;370:m3216. doi:10.1136/bmj.m3216
10. Shabeer Ali Thorakkattil et al. Clinical decision support systems in Indian healthcare settings: benefits, barriers, and future implications. Healthcare (Basel). 2025;13(17):2220. doi:10.3390/healthcare13172220
Related Articles
2026
AI-Based Stomach Cancer Detection Using Biomarkers, Medical Images, and Voice Analysis
2026
Hydrogen-Efficient Eco-Driving and Route Planning for Fuel-Cell Electric Vehicles Using Multi-Objective Optimization Under Traffic and Terrain Uncertainty
2026
A Data-Driven Machine Learning Framework for Assessing Patent Commercial Value and Technological Significance
2026
Evaluating Student Academic Performance Through a Benchmark of Fuzzy Reasoning Models
2026
A Hybrid Soft Computing Approach for Managing Uncertainty in Data Analytics
2026
