Pradhan, KB;
Sarbhadhikari, SN;
John, P;
(2021)
A Framework of Responsible Innovation (RI) Model for Artificial Intelligence (AI) in Indian Healthcare.
Online Journal of Health and Allied Sciences
, 20
(2)
, Article 6.
Preview |
Text
2021 Framework for Responsible innovation model for AI in Indian Healthcare.pdf - Published Version Download (132kB) | Preview |
Abstract
COVID 19 pandemic has hastened the digitalization of healthcare in India and a key disruption has been the adoption of Artificial Intelligence (AI) enabled systems. AI enabled healthcare information system (HIS) is the fountain bed on which AI can grow as it impacts data collection, data cleaning data privacy, data comprehensiveness, and data robustness. The allied healthcare staff are vital for using AI enabled Health / Hospital Information Systems (HIS). AI, like any other technology, can be used as a double edged sword and can be used for both good and bad purposes. Therefore, responsible innovation (RI) is essential to tilt the balance more towards social good rather than harm. Here we propose a framework of RI model for useful adoption of healthcare delivery in India that is AI-enabled. This will need policy level driving, as well as ethical building of capacity of the human resources required for healthcare delivery.
Type: | Article |
---|---|
Title: | A Framework of Responsible Innovation (RI) Model for Artificial Intelligence (AI) in Indian Healthcare |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://www.ojhas.org/issue78/2021-2-6.html |
Language: | English |
Additional information: | This work is licensed under a Creative Commons Attribution-No Derivative Works 2.5 India License (http://creativecommons.org/licenses/by-nd/2.5/in/). |
Keywords: | Responsible Innovation Framework, AI for Healthcare, Responsible AI for Indian Healthcare, Policy making and Capacity Building |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10201377 |
Archive Staff Only
![]() |
View Item |