
Artificial Intelligence will help address the HealthCare Challenges in India


The effective use of AI in healthcare can help connect the patient’s health journey, by adding context to information in every care situation at the hospital, at home, or in the community. This can help both the clinicians and the patients, make better decisions on their health. Another area where AI can make a difference is in hospitals. There are several tasks that are performed by the administrative staff in a hospital which are repetitive. As an example deploying an AI based model to learn the steps related to filling up a form or steps during patient admission can be automated to a large extent, thus increasing the efficiency of the hospital staff. This is nothing new and is already being embraced by the BPO industry where several tasks are being automated using Machine Learning. Let’s take another example where AI helps in increasing accessibility to healthcare. For instance, a cardiologist diagnosing a potential cardiac condition by reading ECG’s. If the cardiologist has the help of a model trained on thousands of ECG data sets, it can help the cardiologist make faster and better decisions. The model can continue to learn and becomes more accurate over a period of time. This helps a cardiologist to improve their productivity, and also a less experienced cardiologist in making better clinical decisions as the case may be. This can be done even remotely as long as the ECG is in a digital form. This is the basic concept based on which Philips is deploying Chest Pain Clinics in India and other countries.
Another example we have worked at Philips is in the detection of Tuberculosis with a high degree of accuracy based on Chest X rays. This automatic screening solution which is based on Deep Learning algorithms helps reduce the work load of Radiologists and makes their work less subjective. The model having been trained on close to a million image sets,using Deep Learning techniques, uses Machine Learning Algorithms to generate classifier models that can distinguish a Chest X-ray that contain TB traces from the normal ones. AI will play an important role to be the game changer for the healthcare sector not just in India but across the globe. I already see several startups in India using various AI tools and techniques to address healthcare problems. I believe that many of the AI solutions, if developed keeping the local context in perspective, the vision of “anywhere, anytime intelligent healthcare’ will be a reality in India!
The potential role that AI can play in addressing the Healthcare challenges in countries like India is highly underestimated.
Another example we have worked at Philips is in the detection of Tuberculosis with a high degree of accuracy based on Chest X rays. This automatic screening solution which is based on Deep Learning algorithms helps reduce the work load of Radiologists and makes their work less subjective. The model having been trained on close to a million image sets,using Deep Learning techniques, uses Machine Learning Algorithms to generate classifier models that can distinguish a Chest X-ray that contain TB traces from the normal ones. AI will play an important role to be the game changer for the healthcare sector not just in India but across the globe. I already see several startups in India using various AI tools and techniques to address healthcare problems. I believe that many of the AI solutions, if developed keeping the local context in perspective, the vision of “anywhere, anytime intelligent healthcare’ will be a reality in India!