IDC Healthcare Insights says that it is imperative for the Indian healthcare organizations to have AI-driven interfaces to address the care needs in the country
A new report by IDC Healthcare Insights – Artificial Intelligence in India Healthcare in the Time of COVID-19 – says it is imperative for the healthcare organizations in the country to drive human-machine collaboration and AI-driven interfaces to address the future care needs in the country. IDC’s COVID-19 Impact survey showed that more than 50 percent of healthcare organizations expect an increase in demand for AI-based solutions during and after the pandemic in the APAC region. The report picturizes the changing state of AI adoption in India, starting with pre-covid scenario, during the outbreak and future potential of AI adoption, post COVID-19.
AI adoption in the country will gain momentum with the recently announced ‘Digital Health ID’ by the government of India. This will also tend to generate an increased number of digital assets, leading to enhanced AI-based solutions to augment physician efficiency in the Indian healthcare system.
“The pandemic has put healthcare organizations in India on the path to accelerate their adoption of AI solutions, taking drive from the COVID-19 pandemic. Moving forward, healthcare providers in India are set to reprioritize the adoption of electronic medical records (EMRs). While deploying AI solutions, CIOs will have to look beyond technology by ensuring strict adherence to regulatory compliance, along with data governance and ethics, to ensure public trust and scalability,” says Manoj Vallikkat, research manager for IDC Asia/Pacific Healthcare Insights.
The report zooms in on certain potential AI start-ups in India by underlining their innovative solutions as well as examining the barriers for healthcare organizations in adopting AI solutions. AI-specific case studies from leading organizations, along with respective technology providers, will inspire many care providers. The section on new standards for AI in healthcare can act as a trigger for decision-makers to think beyond technology while opting for AI solutions. The report concludes with a set of guidance for technology buyers while prioritizing AI adoption.
“We’re seeing the demand for AI/ML bolster in the Indian Healthcare space primarily driven by use cases like diagnosis, drug discovery, patient monitoring, and others. Although the cost, lack of skilled personnel, and data trustworthiness are among the top barriers in the adoption of AI solutions, digital patient data, access to resources, and expertise in selecting the right algorithms will gain priority in the areas to be addressed for the healthcare organizations in the country,” says Rishu Sharma, Principal Analyst, Cloud and Artificial Intelligence, IDC India.
Qaisar
