India is already witnessing significant changes in healthcare delivery and electronic patient record management. Fast changes are taking place in private as well as government sector. Even though there is a lot of scope for improvement, the role of an emerging India in shaping the future of cancer research and development is a strong possibility.
In our recent visit to India, we were thrilled to see the enthusiasm amongst Indian cancer research institutes and professionals towards cancer data science research. We are committed to making the project “YouDiagnose” as one of the biggest and significant data science research projects in the history of cancer research.
YouDiagnose is an application for the masses and I see an immense potential in its use. As mobile penetration increases every passing day, it is a good time to adopt novel ways in diagnosis and delivery of healthcare. I believe this application is going to help hundreds and thousands of patients by redefining the standards of healthcare and its delivery. The patient-centred care plan is the need of the hour as it facilitates explaining all aspects of the disease to the patient and saves time. As affordability and patient expectations increase, it is time that we adopt data-driven accuracy in patient communication. Humans will always be needed, and there is no question of the machine replacing humans when it comes to decision-making, validating decisions and sharing those decisions with the patient. I strongly believe that no matter how advanced our machines may get, patients will always need human beings for empathy, compassion and validation.
History-taking, diagnosis and prognosis segments of the YouDiagnose application are going to be well-received by the patients. This application will be very useful in Tier 2 cities of India where there is a lack of top medical expertise, which is otherwise easily found in the metropolitan cities or tier 1 cities. Given the varying standards of practice in India, it should be introduced in a phased manner to ensure a smooth transition from the current practice to a data science-driven medical practice.
Multidisciplinary team decision-making is somehow lagging behind in the Indian practice of medicine and cancer diagnosis. Therefore, introduction of data and technology such as this will have a massive implication in standardising the practice and also bring evidence-based element into the diagnosis and treatment of cancer patients. This application will also provide a unique opportunity to understand and validate some of the studies and concepts that have been investigated and researched in the Western environment, which may have varied applicability in the Asian or Indian environment.
Having worked at medical institutes in both United Kingdom & India, I clearly see that there is a dire need of a standardised process for diagnosis and treatment. I expect resistance in its adoption, but also believe this will be a way forward in mitigating the inconsistencies in the healthcare practice and delivery. Stakeholder engagement would be the key to success.
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