Assessing the Role of Medical Information Science in Digital Therapeutics and Virtual Healthcare

Medical Information Science is very important for improving digital therapies and virtual healthcare because it lets people make decisions based on data, improves patient management, and makes treatment more personalised. Using artificial intelligence (AI), big data analytics, and blockchain together in medical computing has changed how patients are involved, how they are monitored remotely, and how evidence-based treatments are used. Digital medicines, which use software-based treatments, are being used more and more to help people with mental health problems, control chronic diseases, and get better. Telemedicine, digital health tracking, and mobile apps are all examples of virtual healthcare solutions that depend on fast data processing, compatibility, and privacy to make sure that patients get safe and smooth care. This research looks at how Medical Information Science helps make healthcare better by making hospital processes more efficient, making sure diagnoses are correct, and supporting predictive analytics. It also looks at the problems that digital health tools cause when it comes to data protection, sharing, and following the rules. The study also talks about how electronic health records (EHRs) can be connected to AI-powered decision support systems to give doctors real-time information and help them make personalised treatment plans. As virtual healthcare and digital treatments continue to develop, strong medical informatics systems are needed to make sure that everyone can get the care they need and that patients have the same chances of having a good result. This essay stresses how important it is to focus on the patient in digital medicines and supports standard data control practices. The results show that Medical Information Science has the power to change the future of digital healthcare environments.