Artificial Intelligence In New Age Healthcare
The most common use of AI in pharmaceuticals are in drug discovery, where AI is mobilized to scan through all available the literature on a particular molecule for a drug (eg. targeted molecule discovery), which would otherwise, be impossible for even a group of people to manually carry out.
AI algorithms are helping doctors analyze a much wider scope of data and prediction with greater granularity-new drug combinations that are personalized for a patient's specific need. Emerging Technologies has extensively impacted healthcare in India today and is already shaping how it will look at the future. Automation in healthcare is one of the biggest shifts we are seeing today and automating digitization of health records and data mining to complete processes for higher consistency. Ability to reach masses in the absence of physical infrastructure through automation and providing virtual presence thus increasing reach. In the case of preventive care, medical devices play an important role in the screening and early diagnosis of disease.Early detection reduces the lifetime cost of disease, improves affordability and reduces morbidity.
Through Digitization, healthcare is able to move beyond the brick and mortar constraints of traditional medicine
Digital technologies such as Deep Learning, ML are able to provide higher levels of precision, thereby increasing the success rate and improving the overall quality of care. Through Digitization, healthcare is able to move beyond the brick and mortar constraints of traditional medicine. Digitization also enables centralized database containing all aspects of patients' health, which in turn reduces the risk of medical errors. These changes have amplified growth in data, health information, and electronic medical records.
Through Digitization, healthcare is able to move beyond the brick and mortar constraints of traditional medicine Concepts like e-Pharmacy, e-Diagnostics etc. are helping strengthen the healthcare industry and creating an accessible pool of data or a centralized database which would ensure more efficient service delivery and reduction in the risk of medical errors.
Technologies such as virtual reality and augmented reality can also be used to simulate real-time healthcare environment to provide training to physicians, technicians, and doctors. Remotely operatable machines can diagnose the patient sitting in a village and transmit data to be read by a physician in the city. The specialist sitting in the command centre in a super speciality hospital can read vitals and trigger the treatment of a patient in a local hospital through this service thus making the service accessible and affordable to patients.
Predictive algorithms and big data analytics can help accurate diagnostics of patients. Telemedicine can become a reality with well-designed solutions by building data repositories and using big data analytics to deliver rapid and accurate diagnostics to the patients. In the past, the healthcare industry in India saw little to no digital or technological disruption, but that trend is changing rapidly.
New age healthcare delivery mechanisms, particularly telemedicine, can also take advantage of the deeper penetration of internet technology and lower data costs. Assisted telemedicine is the presence of healthcare worker slike paramedics or nurses in remote areas who help villagers connect with a doctor through teleconferencing or video conferencing to better assist the patient and may also help the patient in getting necessary diagnostics tests done and relay the results to the doctor, again through the use of technology.