{"id":39129,"date":"2025-03-13T19:06:24","date_gmt":"2025-03-13T13:36:24","guid":{"rendered":"https:\/\/www.nextias.com\/ca\/?p=39129"},"modified":"2025-03-17T17:25:41","modified_gmt":"2025-03-17T11:55:41","slug":"role-of-ai-in-healthcare-governance","status":"publish","type":"post","link":"https:\/\/www.nextias.com\/ca\/editorial-analysis\/13-03-2025\/role-of-ai-in-healthcare-governance","title":{"rendered":"Role of AI in Healthcare Governance"},"content":{"rendered":"\n<p><strong>Syllabus :GS2\/Health&nbsp;<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>In News<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The Digital Ethics Centre at Delft University of Technology, Netherlands, has been designated as a WHO Collaborating Centre on AI for health governance.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-background\" style=\"background-color:#ebecf0\"><tbody><tr><td><strong>Do you know ?<\/strong><br>&#8211; Artificial intelligence (AI) is a term applied to a machine or software and refers to its capability of simulating intelligent human behavior, instantaneous calculations, problem-solving, and evaluation of new data based on previously assessed data.<br>&#8211; AI influences multiple industries, including agriculture, manufacturing, autonomous vehicles, fashion, sports, healthcare, and medicine.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Artificial Intelligence in healthcare<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AI has transformed healthcare through advancements in imaging, electronic medical records (EMR), diagnostics, treatment, drug discovery, and precision medicine.&nbsp;<\/li>\n\n\n\n<li>AI has transitioned from a promise to a reality, emerging as a transformative force reshaping global healthcare delivery.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Benefits&nbsp;<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Resource Allocation: <\/strong>AI can predict patient admissions, optimize resource use (hospital beds, staff, equipment), and reduce waste, improving care quality.<\/li>\n\n\n\n<li><strong>Cost Reduction and Efficiency:<\/strong> AI reduces healthcare costs and streamlines administrative tasks (scheduling, billing, records), allowing healthcare professionals to focus more on patient care.<\/li>\n\n\n\n<li><strong>Improved Diagnostics:<\/strong> AI enhances diagnostic accuracy, enables earlier detection, and supports less invasive and cost-effective treatments.\n<ul class=\"wp-block-list\">\n<li>AI enables predictive analytics for early disease intervention, outbreak forecasting, and targeted public health responses to mitigate disease spread and reduce economic impact.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Personalized Treatment: <\/strong>AI-driven personalized care plans improve patient outcomes and reduce the financial burden on healthcare systems.<\/li>\n\n\n\n<li><strong>AI in Pharmaceuticals<\/strong>: AI accelerates drug discovery, optimizes formulations, improves dosing predictions, and enhances clinical trials, manufacturing, and safety monitoring, reducing time and costs.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Challenges of integrating AI in healthcare<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Integrating AI into healthcare faces several challenges, including <strong>building trust and acceptance, <\/strong>ensuring access to high-quality health data, and fostering innovation.&nbsp;<\/li>\n\n\n\n<li><strong>Data fragmentation<\/strong> and inaccuracies can lead to incorrect decisions, such as wrong prescriptions or diagnoses.&nbsp;<\/li>\n\n\n\n<li>AI struggles to predict <strong>complex human behaviours<\/strong> and diseases with multiple causes, such as diabetes and cancers.\n<ul class=\"wp-block-list\">\n<li>Most diseases are multifactorial, making them difficult to predict or treat<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Ethical and legal challenges <\/strong>still&nbsp; persist, including privacy concerns, informed consent and&nbsp; social inequalities<\/li>\n\n\n\n<li><strong>AI is not accessible to all societies<\/strong>, especially in low-income and developing countries where the latest technologies are often unavailable.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-background\" style=\"background-color:#ebecf0\"><tbody><tr><td><strong>Developments in India<\/strong><br>&#8211; The history of Artificial Intelligence in India is a story of gradual growth, culminating in rapid acceleration in recent years.<br>&#8211; <strong>Early Days (1960s-1980s): <\/strong>Indian institutes like IIT Kanpur and IISc Bangalore began computer science research, laying the groundwork for future AI development.<br>1. In 1986, the Knowledge Based Computer Systems (KBCS) project was initiated, marking India&#8217;s first major AI research program.<br>&#8211; <strong>Foundations (1990s): <\/strong>The establishment of C-DAC (Centre for Development of Advanced Computing) in 1988 boosted supercomputing capabilities, indirectly supporting AI research.<br>1. Indian software companies began exploring AI applications, primarily in business process automation.<br>&#8211; <strong>Growth Phase (2000s): <\/strong>Indian IT giants like TCS, Infosys, and Wipro started investing in AI research and development.<br>1. Academic institutions expanded their AI and machine learning programs.<br>&#8211; <strong>Acceleration (2010s): <\/strong>2014-15: The &#8220;Digital India&#8221; initiative was launched, emphasizing the importance of emerging technologies including AI.<br>1. 2018: NITI Aayog released the National Strategy for Artificial Intelligence, outlining India&#8217;s approach to leveraging AI for economic growth and social inclusion.<br>&#8211; <strong>Current Era : <\/strong>AI has become a key focus area for both government and private sector initiatives.<br>1. India is positioning itself as a global AI hub, with applications ranging from <strong>healthcare to agriculture to smart cities.<\/strong><br>2. Government initiatives like &#8220;AI for All&#8221; are integrating AI into sectors such as education and governance.<br>&#8211; The National Health Authority (NHA) and IIT Kanpur signed a Memorandum of Understanding (MoU) to develop an <strong>AI-powered platform under the Ayushman Bharat Digital Mission (ABDM)<\/strong>.<br>1. This collaboration aims to improve health outcomes by using data for AI model benchmarking and disease diagnosis, addressing challenges related to data availability and efficacy in healthcare.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion&nbsp; and Way Forward&nbsp;<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AI technologies have the potential to improve diagnosis, treatment, health research, drug development, and public health functions like surveillance and outbreak response.<\/li>\n\n\n\n<li>To fully harness AI\u2019s benefits, collaboration among stakeholders is essential for robust governance, ethical safeguards, and evidence-based policies.<\/li>\n\n\n\n<li>India must invest in both public and private organizations to support AI research in healthcare.&nbsp;<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-background\" style=\"background-color:#fff2cc\"><tbody><tr><td><strong>Mains Practise Question<\/strong><br><strong>[Q]<\/strong> Analyze the transformative role of Artificial Intelligence in the healthcare sector with suitable examples.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Source BL<\/strong><\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/www.nextias.com\/ca\/wp-content\/uploads\/2025\/03\/UPSC-Editorial-Analysis-13-March-2025.pdf.pdf\">Download PDF<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>The Digital Ethics Centre at Delft University of Technology, Netherlands, has been designated as a WHO Collaborating Centre on AI for health governance.<\/p>\n","protected":false},"author":15,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[22],"tags":[],"class_list":["post-39129","post","type-post","status-publish","format-standard","hentry","category-editorial-analysis"],"acf":[],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/posts\/39129","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/comments?post=39129"}],"version-history":[{"count":4,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/posts\/39129\/revisions"}],"predecessor-version":[{"id":39225,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/posts\/39129\/revisions\/39225"}],"wp:attachment":[{"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/media?parent=39129"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/categories?post=39129"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/tags?post=39129"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}