The challenges faced and the methods implemented by the Apollo Hospitals Group in introducing telemedicine in the Indian setting are discussed in this article. Using Information and Communication Technology (ICT) to make available secondary and tertiary medical expertise to suburban and rural India was thought of as early as 1997. In March 2000, the world's first Very Small Aperture Terminal (VSAT)-enabled village hospital was commissioned. Today, with 115 centers including 9 overseas, the Apollo Telemedicine Networking Foundation (ATNF) is the oldest and largest multispecialty telemedicine network. More than 57,000 teleconsultations in various disciplines, ranging from sexual medicine to neurosurgery, have been provided. Patients have been evaluated from distances ranging from 120 to 4,500 miles. A majority (85%) of these teleconsults were reviews. The successful proof of concept validation studies, carried out from 2000 to 2001 by Apollo, were instrumental in the Indian Space Research Organization (ISRO) including telemedicine as a major thrust area. The pioneering role played by Apollo is also discussed in using VSAT-enabled Hospitals on Wheels. The paper reviews the significant role played by ATNF in the growth and development of telemedicine in South Asia. Academic activities are also highlighted. The pioneering efforts in the field of m-health, home telecare, the Pan African e-Network Project, starting the first formal educational course in telehealth and various other e-initiatives are elaborated.

We are in a stage of transition as artificial intelligence (AI) is increasingly being used in healthcare across the world. Transitions offer opportunities compounded with difficulties. It is universally accepted that regulations and the law can never keep up with the exponential growth of technology. This paper discusses liability issues when AI is deployed in healthcare. Ever-changing, futuristic, user friendly, uncomplicated regulatory requirements promoting compliance and adherence are needed. Regulators have to understand that software itself could be a software as a medical device (SaMD). Benefits of AI could be delayed if slow, expensive clinical trials are mandated. Regulations should distinguish between diagnostic errors, malfunction of technology, or errors due to initial use of inaccurate/inappropriate data as training data sets. The sharing of responsibility and accountability when implementation of an AI-based recommendation causes clinical problems is not clear. Legislation is necessary to allow apportionment of damages consequent to malfunction of an AI-enabled system. Product liability is ascribed to defective equipment and medical devices. However, Watson, the AI-enabled supercomputer, is treated as a consulting physician and not categorised as a product. In India, algorithms cannot be patented. There are no specific laws enacted to deal with AI in healthcare. DISHA or the Digital Information Security in Healthcare Act when implemented in India would hopefully cover some issues. Ultimately, the law is interpreted contextually and perceptions could be different among patients, clinicians and the legal system. This communication is to create the necessary awareness among all stakeholders.

Background: Health care is provided in developing countries, in a milieu of acute shortages of health care infrastructure and personnel. Governments are realizing that digital health through public private partnerships (PPPs) could address this issue. Literature review did not reveal reports on primary use of telemedicine or Technology-enabled Remote Health care (TeRH) in a PPP mode. Materials and Methods: The authors report using digital health in a mega PPP project in nine districts in Andhra Pradesh, a state in South India, where millions are benefiting from TeRH. Strategies deployed to address operational, technical, and clinical challenges in virtually reaching the unreached deploying technology are described. A detailed analysis was made of services provided in 183 Urban Primary Health Centres (UPHCs) over 47 months. Results: 2,648,322 unique patients had quality digital health care. Of 11,055,936 consultations, 1,013,996 were specialist teleconsultations, including cardiology, endocrinology, general medicine, orthopedics and OB/Gynecology. 7,408,283 laboratory tests were done. Costs for laboratory tests was 28.84% of that in private laboratories. Cost per specialist teleconsultation was 165 (Rupees). Quality control of laboratories was ensured through remote monitoring. Discussion: Implementing digital health in PPP projects requires expertise across clinical, technology, contract management, financing, data standards, information security, project planning, and cost-effective implementation. Conclusions: This successful mega project has confirmed that given a dedicated cooperative team e-health in a PPP mode in a developing country is eminently doable. Digital health care records were introduced and maintained for 100% of the beneficiaries (2.6 million in this study). TeRH can now bridge the health care divide.