Context: Artificial intelligence, autonomous systems, and data analytics have a defining role to play in shaping the medical sector.
Case Studies – Successful pilot projects
Hospitals in China used 5G-powered temperature measurement devices at entrance to flag patients who have fever/fever-like symptoms.
Robots measuring heart rates and blood oxygen levels through smart bracelets and rings that patients wear.
In India, the Sawai Man Singh government hospital in Jaipur held trials with a humanoid robot to deliver medicines and food to COVID-19 patients.
Significance of disruptive technologies in healthcare
Addressing the risk of frontline warriors: The medical community has been selfless but losing a number of staff in the process.
Furthering Universal Health Coverage (UHC): Through the application of digital technologies, led by a robust strategy integrating human, financial, organisational and technological resources.
Low costs: Helps hospitals provide the best facilities at less cost.
Enhanced competition: Provide a level playing field for all sectors and foster competition.
Disruptive technologies and potential applications in healthcare
Blockchain technology: Helping to address interoperability challenges through a complete indexed history of all medical data, including formal medical records and health data from mobile applications and wearable sensors.
It can be stored in a secure network and authenticated
Big data analytics: To improve patient-based services - such as early disease detection.
AI and the Internet of Medical Things, or IoMT: Defined as a connected infrastructure of medical devices, software applications, and health systems and services, can reshape healthcare applications.
Cloud computing: To facilitating collaboration and data exchanges between doctors, departments, and even institutions and medical providers to enable the best treatment.
Challenges and concerns
Fragmentation of information: Studies by WHO show that weakly-coordinated steps may lead to stand-alone ICT solutions, leading to a fragmentation of information and resulting in poor delivery of care.
Other possible constraints: Standardisation of health data, organisational silos, data security and data privacy, and high investments.
Way forward
India needs to own its digital health strategy: Emphasising on ethical appropriateness of digital technologies, cross digital divide, and ensure inclusion across the economy.
‘Ayushman Bharat’ and ICT tools could be fine-tuned to promote ways to protect populations.
Online consultation through video conferencing should be a part of such a strategy.
Using local knowledge:
Inculcate learnings from global experiences such as Ebola virus outbreak in Africa, where communities proactively helped curtail spread much before the government’s arrival.
Indonesia, where the experience of backyard poultry farmers was used to tackle bird flu.
Primary health centres in India could examine local/traditional knowledge and experience and then use it along with modern technology.
Technological leap forward: Synchronisation and integration, developing a template for sharing data, and reengineering many of the institutional and structural arrangements in the medical sector.