Today in Healthcare, practitioners are flooded with huge amount data. Going through data takes a lot of time and effort. This leads to less time for delivering the human element of care and addressing real needs of their patient. With AI Innovation that push it limitation to its technology, providers and researchers are increasingly able to focus on humane element care. With AI in exceptional computer technology, practitioners rely on AI to identify diabetics, multiple sclerosis, or dementia. AI has capability in drug discovery to accelerate time to insights with greater efficiency and accuracy. In Telehealth Conversation AI will allow AI to go beyond matching patients with practitioners and consider other preferences like doctor, insurance coverage location and other. In Near future AI technologies will accelerate the adoption of new approaches to healthcare. NLP(Natural language Processing) listens customer symptoms and concerns and then deliver the relevant response and ask the right question. The Recommender models evaluate symptoms and determine a likely list of causes and diagnoses. These model Driven recommendations can then be used by clinicians to expedite the patient journey and make their first visit. With Computer vision patient can send the picture of their health concern securely for evaluation and diagnosis. This information can be delivered to a provider before their first visit. With these Innovation AI Can expand the time and reach of practitioner in world where they are increasingly scarce. The benefits of AI in healthcare workflow optimization are enormous
AI also helps in fraud detection of healthcare Claims. Artificial Intelligence and machine learning automates the assessment of claims and detect the invalid claims before they paid and help to speed up the approval process and payment. AI also helps in identifying abnormalities in the medical Images such as CT to MRI. The benefits of AI in Image recognition