References
Accenture (2017), ‘Artificial Intelligence: Healthcare’s New Nervous System’, (accessed 5 Mar. 2020).
Ash, M., Petro, J. and Rab, S. (2019), ‘How AI in the Exam Room Could Reduce Physician Burnout’, Harvard Business Review, 12 November 2019, (accessed 5 Mar. 2020).
Bailey, R., Parsheera, S., Rahman, F. and Sane, R. (2018), Disclosures in privacy policies: Does “notice and consent” work?, Working Paper, No. 246, New Delhi: National Institute of Public Finance and Policy, (accessed 10 Mar. 2020).
Business Line (2018), ‘1 bn records compromised in Aadhaar breach since January: Gemalto’, The Hindu Business Line, 20 October 2018, (accessed 11 Mar. 2020).
Central Bureau of Health Intelligence (2018), ‘National Health Profile 2018’, Ministry of Health and Family Welfare, (accessed 10 Mar. 2020).
Colclough, G., Dorling, G., Riahi, F., Ghafur, S. and Sheikh, A. (2018), Harnessing Data Science and AI in Healthcare: From policy to practice, Report of the WISH Data Science and AI Forum 2018, (accessed 30 Mar. 2020).
Culnane, C., Rubinstein, B. I. P. and Teague, V. (2017), ‘Health Data in an Open World’, arXiv preprint, 15 December 2017, arXiv:1712.05627 (accessed 10 Mar. 2020).
Dargan, R (2019), ‘AI Applications Aid Efficiency, Ease Workload’, Radiological Society of North America, 16 July 2019,
(accessed 5 Mar. 2020).
Das, M., Angeli, F., Krumeich, A. J. S. M., and van Schayck, O. C. P. (2018), ‘The gendered experience with respect to health-seeking behaviour in an urban slum of Kolkata, India’, International Journal for Equity in Health, 17(1): p. 24. (accessed 11 Mar. 2020).
Davenport, T. and Kalakota, R. (2019), ‘The potential for artificial intelligence in healthcare’, Future Healthcare Journal, 6(2): pp. 94–98, doi:10.7861/futurehosp.6-2-94 (accessed 19 May, 2020).
Deo, S. and Tyagi, H. (2019), ‘Rx ICT: Digitally disrupting healthcare’, Forbes India, 22 February 2019, (accessed 10 Mar. 2020).
ET Rise (2018), ‘How Manthana uses AI to process visual medical data’, Economic Times, 17 August 2018, (accessed 11 Mar. 2020).
Expert System (2017), ‘What is Machine Learning? A definition’, 7 March 2017, (accessed 5 Mar. 2020).
Express News Service (2016), ‘Maharashtra website hacked: Diagnostic lab details of 35,000 patients leaked’, The Indian Express, 3 December 2016, (accessed 10. Mar 2020).
Forbes (2019), ‘AI and Healthcare – a Giant Opportunity’, 11 February 2019, (accessed 5 Mar. 2020).
Garrett, P. and Seidman, J. (2011), ‘EMR vs EHR – What is the Difference?’, Health IT Buzz, 4 January 2011, (accessed 19 May 2020).
Gershgorn, D. (2018), ‘If AI is going to be the world’s doctor, it needs better textbooks’, Quartz, 6 September 2018, (accessed 11 Mar. 2020).
Goyal, M. (2019), ‘How Wadhwani brothers Sunil and Romesh are using AI to serve the underserved’, The Economic Times, 5 March 2019, (accessed 11 Mar. 2020).
Gupta, P. (2018), ‘Bringing together an AI network for eyecare to prevent avoidable visual impairment’, The Microsoft India Blog, 14 March 2018, (accessed 11 Mar. 2020).
Hart, D. R. (2017), ‘If you’re not a white male, artificial intelligence’s use in healthcare could be dangerous’, Quartz, 10 July 2017, (accessed 11 Mar. 2020).
Haskew, J., Rø, G., Saito, K., Turner, K., Odhiambo, G., Wamae, A., Sharif, S. and Sugishita, T. (2015), ‘Implementation of a cloud-based electronic medical record for maternal and child health in rural Kenya’, International Journal of Medical Informatics, 84(5), pp. 349–54, doi:10.1016/j.ijmedinf.2015.01.005 (accessed 30 Mar. 2020).
Health IT Analytics (undated), ‘Google Pursues AI, Voice Recognition for EHR Workflows’, (accessed 5 Mar. 2020).
Health Nucleus (undated), ‘Artificial Intelligence & Machine Learning’.
Hebbar, P. (2018), ‘Maharashtra CM Launches New Artificial Intelligence Centre For Rural Healthcare’, Analytics India Magazine, 14 November 2018, (accessed 16 Apr. 2020).
Hern, A. (2017), ‘Royal Free breached UK data law in 1.6m patient deal with Google’s DeepMind’, Guardian, 3 July 2017, (accessed 5 Mar. 2020).
Huang, Y. (2004), ‘The SARS Epidemic and its Aftermath in China: a Political Perspective’, in Institute of Medicine (US) Forum on Microbial Threats, Knobler, S., Mahmoud, A., Lemon, S. et al. (eds) (2004), Learning from SARS: Preparing for the Next Disease Outbreak: Workshop Summary, Washington, DC: National Academies Press, (accessed 16 Mar. 2020).
Information Commissioner’s Office (undated), (accessed 30 Mar. 2020).
Information Commissioner’s Office (2017), ‘Big data, artificial intelligence, machine learning and data protection’ (accessed 30 Mar. 2020).
India.gov.in (2018), ‘Ayushman Bharat: National Health Protection Mission’, (accessed 10 Mar. 2020).
Indo-Asian News Service (2017), ‘India is now among fastest-growing medical tourism destinations’, India Today, 13 October 2017, (accessed 11 Mar. 2020).
Jalan, T. (2019), ‘Centre for Internet & Society’s comments on NDHB: Literacy and benefits of PHR, access to anonymised data, consent as product’, Medianama, 13 August 2019, (accessed 11 Mar. 2020).
Joshi, N. (2019), ‘How Far Are We From Achieving Artificial General Intelligence?’, Forbes, 10 June 2019, (accessed 2 Feb. 2020).
Jyoti, A. (2017), ‘1 per cent of India’s hospitals apply for NABH accreditation’, The Pioneer, 2 November 2017, (accessed 10 Mar. 2020).
Kambli, R. (2019), ‘Watson Health has more than 15,000 clients and partners’, Express Healthcare, 5 June 2019, (accessed 11 Mar. 2020).
The Lancet (2017), ‘Artificial intelligence in health care: within touching distance’, The Lancet, 390(10114), doi:10.1016/S0140-6736(17)31540-4 (accessed 30 Mar. 2020).
Leetaru, K. (2018), ‘How Data Brokers and Pharmacies Commercialize our Medical Data’, Forbes, 2 April 2018, (accessed 16 Mar. 2020).
Lehne, M., Sass, J., Essenwanger, A., Schepers, J. and Thun, S. (2019), ‘Why digital medicine depends on interoperability’, npj Digital Medicine, 2, article number 79, (accessed 19 May 2020).
Louise, N. (2018), ‘This Nigerian artificial intelligence health startup is saving thousands of babies’ lives with a simple app’, Techstartups.com, (accessed 5 May 2020).
Majkowska, A., Mittal, S., Steiner, D. F., Reicher, J. J., McKinney, S. M., Duggan, G. E., Eswaran, K., Chen, P. C., Liu, Y., Kalidindi, S. R., Ding, A., Corrado, G. S., Tse, D. and Shetty, S. (2019), ‘ Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation’, Radiology, 294(2): pp. 421–31, doi:10.1148/radiol.2019191293 (accessed 10 Mar. 2020).
Mathiharan, K. (2014), ‘Law on consent and confidentiality in India: A need for clarity’, National Medical Journal of India, 27: pp. 39–42, (accessed 10 Mar. 2020).
Mayer-Schönberger, V. and Cukier, K. (2017), Big Data: the Essential Guide to Work, Life and Learning in the Age of Insight, London: John Murray.
Ministry of Health and Family Welfare (2017), Digital Information Security in Healthcare Act, Government of India, November 2017, (accessed 16 Apr. 2020).
Ministry of Health and Family Welfare (2019), National Digital Health Blueprint, April 2019, (accessed 16 Apr. 2020).
Misal, D. (2018), ‘11 Indian Startups Revolutionising The Healthcare Sector With AI’, Analytics India Magazine, 26 October 2018, (accessed 11 Mar. 2020).
Mohandas, S. and Sinha, A. (2018), ‘Comments on the Draft Digital Information Security in Healthcare Act’, The Centre for Internet and Society, 21 April 2018, (accessed 11 Mar. 2020).
Narayanan, N. (2017), ‘Interview: “We need a medical regulator that is more like a tribunal and not the consumer court’’’, Scroll.in, 11 December 2017, (accessed 10 Mar. 2020).
Narayanan, N. (2018), ‘Niti Aayog plan for Aadhaar-linked digital health records raises concerns over safety and privacy’, Scroll.in, 12 July 2018, (accessed 11 Mar. 2020).
NASSCOM (2018), ‘NASSCOM Artificial Intelligence Primer 2018’, (accessed 16 Apr. 2020).
National Health Portal of India (2017), ‘National eHealth Authority (NeHA)’, e-Health India, 29 May 2017, (accessed 11 Mar. 2020).
National Sample Survey Office (2014), ‘Health in India: NSS 71st Round (January–June 2014)’, Government of India, (accessed 10 Mar. 2020).
Neelakantan, M. (2018), ‘NITI Aayog’s National Health Stack: Who Benefits From It’, BloombergQuint, 20 September 2018, (accessed 11 Mar. 2020).
NITI Aayog (2018a), ‘National Strategy for Artificial Intelligence #AIForAll’, June 2018, (accessed 10 Mar. 2020).
NITI Aayog (2018b), National Health Stack: Strategy and Approach, Delhi: NITI Aayog, (accessed 11 Mar. 2020).
NovoJuris Legal (2019), ‘India: Cyber-Security: The Vulnerability Of Medical Institutions To Cyber-Attacks’, Mondaq, 29 April 2019, (accessed 11 Mar. 2020).
Paul, Y., Hickok, E., Sinha, A. and Tiwari, U. (2018), Artificial Intelligence in the Healthcare Industry in India, The Centre for Internet and Society, (accessed 11 Mar. 2020).
Perry, P. (2016), ‘How Artificial Intelligence will Revolutionize Healthcare’, Big Think, 10 May 2016, (accessed 30 Mar. 2020).
Powell, A. C., Tyagi, H. and Ludhar, J. K. (2018), ‘Digitising Indian Healthcare Records’, ISBInsight, August 2018, (accessed 11 Mar. 2020).
Press Information Bureau (2019), ‘“The National Digital Health Blueprint (NDHB) is just a beginning; it gives us a direction and a path to move towards strengthening healthcare delivery systems”: Dr Harsh Vardhan’, 29 October 2019, (accessed 11 Mar. 2020).
Press Trust of India (2017), ‘Healthcare IT Cos raise $5.5 bn in VC funding in January–September 2017’, Moneycontrol, 23 October 2017, (accessed 11 Mar. 2020).
Purandare, V. (2018), ‘Cyber attack on MGM Hospital’, Asian Age, 19 July 2018, (accessed 11 Mar. 2020).
Rajkomar, A., Dean, J. and Kohane, I. (2019), ‘Machine Learning in Medicine’, New England Journal of Medicine, 4 April 2019, 380(14): pp. 1347–58, doi:10.1056/NEJMra1814259 (accessed 10 Mar. 2020).
Rao, N. (2018), ‘Who Is Paying for India’s Healthcare?’, The Wire, 14 April 2018, (accessed 10 Mar. 2020).
Ross, C. and Swetlitz, I. (2017), ‘IBM pitched its Watson supercomputer as a revolution in cancer care. It’s nowhere close’, STAT, 5 September 2017, (accessed 11 Mar. 2020).
Safi, S., Thiessen, T. and Schmailzl, K. J. G. (2018), ‘Acceptance and Resistance of New Digital Technologies in Medicine: Qualitative Study’, JMIR research protocols, 7(12), doi:10.2196/11072 (accessed 11 Mar. 2020).
SAS (undated), ‘Natural Language Processing (NLP) – What is it and why it matters’, (accessed 5 Mar. 2020).
Schmelzer, R (2019), ‘Understanding Explainable AI’, Forbes, 23 July 2019, (accessed 5 Mar. 2020).
Selbst, A. D., Boyd, D., Friedler, S. A., Venkatasubramanian, S. and Vertesi, J. (2019), ‘Fairness and Abstraction in Sociotechnical Systems’, Proceedings of the Conference on Fairness, Accountability, and Transparency, January 2019, pp: 59–68, doi:10.1145/3287560.3287598 (accessed 10 Mar. 2020).
Selvaraj, S., Farooqui, H. H. and Karan, A. (2018), ‘Quantifying the financial burden of households’ out-of-pocket payments on medicines in India: a repeated cross-sectional analysis of National Sample Survey data, 1994–2014’, BMJ Open, 8(5), doi:10.1136/bmjopen-2017-018020 (accessed 10 Mar. 2020).
Shou, D. (2019), ‘The Next Big Privacy Hurdle? Teaching AI to Forget’, WIRED, 6 December 2019, (accessed 10 Mar. 2020).
Siddiqui, F. R. (2008), ‘Denied treatment, Dalit woman dies’, The Times of India, 25 April 2008, (accessed 11 Mar. 2020).
Singh, S. (2020), ‘Google, Microsoft circle as India mulls extracting value from health data of 1.3 billion citizens’, The Ken, 6 January 2020, (accessed 10 Mar. 2020).
Sinha, S. (2018), ‘How Microsoft Is Expanding Its Healthcare Initiative In India Using AI’, Analytics India Magazine, 20 March 2018, (accessed 10 Mar. 2020).
The Times of India (2019), ‘Google Assistant is now available in eight more Indian languages’, The Times of India, 25 February 2019, (accessed 11 Mar. 2020).
Trist, E. (1981), ‘The evolution of socio-technical systems’, Occasional paper, 2, (accessed 10 Mar. 2020).
Ubenwa (undated), (accessed 16 Mar. 2020).
USAID (2019), ‘Artificial Intelligence in Global Health: Defining a Collective Path Forward’, (accessed 5 Mar. 2020).
Vempati, S. S. (2016), India and the Artificial Intelligence Revolution, Research Paper, Delhi: Carnegie Endowment for International Peace, (accessed 11 Mar. 2020).
Vidyut (2018), ‘French security researcher shows how to bypass password protection on mAadhaar app AGAIN’, Medianama, 13 March 2018, (accessed 11 Mar. 2020).
Vincent, J. (2019), ‘AI is worse at identifying household items from lower-income countries’, The Verge, 11 June 2019, (accessed 16 Mar. 2020).
Wahl, B., Cossy-Gantner, A., Germann, S. and Schwalbe, N. R. (2018), Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings? BMJ Global Health, 3(4), doi:10.1136/bmjgh-2018-000798 (accessed 30 Mar. 2020).
Wickens, C. D., Clegg, B. A., Vieane, A. Z. and Sebok, A. L. (2015), ‘Complacency and Automation Bias in the Use of Imperfect Automation’, Human Factors, 57(5): pp. 728–39, doi:10.1177/0018720815581940 (accessed 10 Mar. 2020).
World Bank (2019), ‘New country classifications by income level: 2019-2020’, 1 July 2019, (accessed 5 Mar. 2020).
World Economic Forum (2018), ‘Four ways AI can make healthcare more efficient and affordable’, 31 May 2018, (accessed 5 Mar. 2020).
World Wide Web Foundation (2017), ‘Artificial Intelligence: The Road Ahead in Low- and Middle-Income Countries’,
(accessed 5 Mar. 2020).
Zandi, D., Reis, A., Vayena, E. and Goodman, K. (2019), ‘New ethical challenges of digital technologies, machine learning and artificial intelligence in public health: a call for papers’, Bulletin of the World Health Organization, 97(1), pp. 1–72, doi:10.2471/BLT.18.227686 (accessed 30 Mar. 2020).