Healthcare technology is often touted for its potential to enhance diagnostics, streamline decision-making, and improve patient outcomes.
In India, this potential is becoming a reality in areas such as radiology, pathology, and public health initiatives.
Despite the promise, India faces significant healthcare access challenges, with a doctor-population ratio of 1:1200, falling short of the WHO's recommended 1:1000. This statistic reflects the limited availability of approximately 13.88 lakh registered allopathic doctors for a population exceeding 1.4 billion.
While numerous startups are emerging in the healthcare sector, the gap between promise and reality remains. Can technology effectively address these disparities? India has a pressing need for solutions.
Current Landscape and Challenges
The initial phase of healthcare technology focused on developing accurate systems and proving their feasibility. Now, the emphasis is shifting towards effective deployment.
Ankit Modi, cofounder of Qure.ai, notes that many hospitals still treat technology as an add-on rather than integrating it into clinical workflows. The goal is to embed these systems into healthcare processes for improved screening, diagnosis, and follow-up care.
Jadeja Dushyantsinh Anopsinh from Remidio emphasizes that much of the focus has been misplaced. For instance, a program in Kerala revealed that nearly 99% of diabetic retinopathy cases were previously unknown to patients, indicating that hospital-centric approaches overlook many individuals who never engage with formal healthcare systems.
Integration Over Intelligence
The focus is now on integrating technology into clinical practices. However, determining its application in clinical settings remains complex, as many treatments require professional administration and cannot be fully automated.
Kalyan Sivasailam of 5C Network describes this as one of the most challenging issues in the sector. Clinical systems must be reliable in high-stakes situations, and the current challenge is achieving a level of reliability that healthcare professionals can trust.
Innovative Approaches
Companies are now developing systems that not only provide outputs but also reason through multiple steps, validating findings similar to how clinicians make decisions.
Dr. Amit Kharat of DeepTek AI highlights that radiology is a key area for technology deployment, given the combination of structured imaging data and a shortage of radiologists. DeepTek's approach allows hospitals to prioritize critical cases and generate draft reports, thus reducing turnaround times.
Real-World Impact
On the ground, technology is already making a difference. For example, Qure.ai's integration into stroke workflows in Punjab has reduced turnaround times by 85%, facilitating quicker clinical decisions.
Despite the positive developments, there remains a reluctance to fully embrace technology due to fears of job displacement among clinicians. Tathagato Rai Dastidar from SigTuple argues that rather than replacing pathologists, technology is transforming the microscopic review process, allowing clinicians to focus on more complex decisions.
Addressing Barriers to Adoption
Three main barriers to widespread adoption persist: fears of redundancy, lack of incentives for quality, and unrealistic expectations about technology replacing healthcare professionals.
Ajay Mahipal from HealthKois notes that while technology solutions are effective, their widespread deployment is hindered by fragmented data systems and unclear governance frameworks.
Looking Ahead
As the landscape evolves, several areas remain underexplored, including early screening in underserved regions and optimizing hospital operations. The key to success lies in ensuring that technology simplifies workflows for clinicians rather than complicating them.
In conclusion, while challenges remain, the integration of technology into India's healthcare system holds promise for addressing critical gaps and improving patient care.
