Indian healthcare deploys AI & ML to boost data─driven insights for tracking diseases
Indian healthcare deploys AI & ML to boost data─driven insights for tracking diseases unknown
Indian healthcare is now extensively ensuring that application of artificial intelligence and machine learning are ubiquitous across its operations. Both AI and ML are seen to boost data driven insights that help deploy efficient strategies to track diseases for better healthcare outcomes.
According to Dr. Saroj Gupta, founder & CEO, MyDigiRecords, the application of AI and ML could be transformative for India’s healthcare system. AI algorithms can identify patterns and trends that might be invisible to the human eye. These could include everything from regional outbreaks of diseases to the effectiveness of specific treatments in different patient groups. This insight could help the government to anticipate healthcare needs and allocate resources more effectively.
ML, in particular, offers potential for predictive modelling. Over time, ML algorithms can learn from vast datasets to predict future trends. In the context of healthcare, this could mean predicting the likelihood of disease outbreaks or identifying regions that are likely to experience specific health issues, she added.
By integrating AI and ML within health data analysis, the government of India could improve planning and delivery of services. This would enable more proactive health management, leading to improved outcomes and efficiency. As more data becomes available through the continued adoption of digital health records, the predictive power of these tools will only increase, Dr Gupta told Pharmabiz in an email.
"The Union government would have the ability to analyze de-identified usage and health trends, leveraging AI and ML, to better impact population health. Through platforms and apps that allow for collating all medical health records online, the government would have the opportunity to analyse de-identified usage and health trends. Since this data will not have personal identifiers to ensure privacy, it will prove to be a valuable resource for understanding broad health trends across diverse populations,” she said.
Online medical health record platforms could provide an integral foundation for these initiatives. These platforms could facilitate the gathering and analysis of the necessary de-identified data, supporting the government in its goal to use advanced technologies to improve the health of its citizens, said Dr Gupta.
To this end, MyDigiRecords is equipped with robust capabilities that will help the government of India to analyse de-identified health data and usage trends. De-identified data can also be used in developing artificial intelligence driven as well as predictive analytics tools to address social determinants to health. Also, by de-identifying data, providers can share information with other organizations to advance medical researcher and treatment. This capability is crucial for informed policy-making and effective healthcare interventions which will aid in fostering a healthier nation.
We facilitate in organising and secure sharing of health records, aiding in the creation of a fully integrated digital healthcare system. In doing so, we streamline healthcare delivery, improve patient outcomes, and support evidence-based policymaking. Since accessibility to health records still remains a challenge, MyDigiRecords is bridging this gap since it has been developed as a centralized and user-friendly platform enabling individuals to manage their health data efficiently, from immunisations to medications. The aligns with the India's National Health Stack empowering consumers to make well-informed healthcare decisions by offering them complete control over their health information, said Dr Gupta.