Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4840
Title: Digital elixir for healthcare: market intelligence and policy implications
Authors: Gowda, Naveen R.
Vikas, H.
Satpathy, Sidhartha
Ramaswamy, Anjali
Prabhu, Meghana
Kumar, Atul
Kini, Ananth
Singh, Angel Rajan
Sharma, D. K.
Desai, Devashish
Sharma, J. B.
Gowda, Praveen R.
Rajkumar
Gopinath, Bharath
Huded, Chandrashekhar
Sowmya, K. P.
Divya, T. K.
Vakharia, Khyati
Viswanath, Somanath
John, Dhayal C.
Gudipati, Neeraj
Keywords: Digital health
Adoption
Market intelligence
Data usage policy
Indian Healthcare
Ayushman Bharat Digital Mission (ABDM)
Secondary use of data
Artificial intelligence
Healthcare IT industry
Issue Date: Dec-2023
Publisher: Indian Institute of Management Calcutta, Kolkata
Series/Report no.: Vol. 50;No. 4
Abstract: There is an increasing emphasis on digital health. However, success of digital health depends on voluntary adoption, which requires good product– market fit for a wide range of users. A nationallevel survey through snowball sampling was conducted from November 2020 to March 2021 among all MBBS doctors willing to participate. A total of 1010 doctors from different sectors, locations, qualifications with wide range of experience and patient load participated. Doctors from across the board felt going digital would entail long learning curves, additional workload, more screen time and that they do not improve overall quality of care. Majority feel digital solutions do not help in increasing net revenue and consequently prefer free-of-cost digital solutions. Among those willing to pay, onetime investment for hardware/equipment (38%) followed by annual subscription for software licenses (34%) are the preferred modalities. Seventy-four percent of doctors expressed not being comfortable with government providing digital solutions or controlling the data. In order to make the findings more practical and relevant, digital health adoption curve and market intelligence grid have been proposed. Digital health companies can use the adoption curve to understand how adoption can fluctuate with cost, ease of use and data policy. The grid can help companies identify the requirements of their target segment of doctors and therefore achieve better product–market fit.
Description: N. R. Gowda, Department of Hospital Administration, All India Institute of Medical Sciences, New Delhi, India | H. Vikas, Department of Hospital Administration, All India Institute of Medical Sciences, New Delhi, India | S. Satpathy, Department of Hospital Administration, All India Institute of Medical Sciences, New Delhi, India | A. R. Singh, Department of Hospital Administration, All India Institute of Medical Sciences, New Delhi, India | A. Ramaswamy, Department of Obstetrics and Gynecology, All India Institute of Medical Sciences, New Delhi, India | J. B. Sharma, Department of Obstetrics and Gynecology, All India Institute of Medical Sciences, New Delhi, India | M. Prabhu, Department of Nuclear Medicine, Institute of Liver and Biliary Sciences (ILBS), New Delhi, India | A. Kumar, Employees’ State Insurance Corporation, Head Quarter, New Delhi, India | A. Kini, Military Hospital Kamptee, Armed Forces Medical Services, Kamptee, India | D. K. Sharma, All India Institute of Medical Sciences (AIIMS), New Delhi, India | D. Desai, All India Institute of Medical Sciences (AIIMS), New Delhi, India | D. C. John, All India Institute of Medical Sciences (AIIMS), New Delhi, India | P. R. Gowda, Toyota Kirloskar Motors Private Limited, Bangalore, Karnataka, India | Rajkumar, Army Medical Corps, New Delhi, India | B. Gopinath, Department of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India | C. Huded, Gulbarga Institute of Medical Sciences, Kalaburagi, Karnataka, India | K. P. Sowmya, Department of Obstetrics and Gynecology, Siddhartha Institute of Medical Sciences and Research Institute, Bengaluru, Karnataka, India | T. K. Divya, Department of Obstetrics and Gynecology, Sapthagiri Institute of Medical Sciences and Research Institute, Bengaluru, Karnataka, India | K. Vakharia, Department of Sports Medicine, Vardhaman Mahavir Medical College and Safdarjung Hospital, New Delhi, India | S. Viswanath, Atos India, Bengaluru, Karnataka, India | N. Gudipati, Indian Institute of Information Technology (IIIT), Guwahati, Assam, India
p. 489-500
URI: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4840
ISSN: 0304-0941(print version)
Appears in Collections:Issue 4, December 2023

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