Technology has been the enabler of healthcare for years. From large organizations to small clinics, providers in different parts of the world have used apps, data management platforms, and many other systems as key ways to streamline their operations and drive better clinical outcomes. Their modernization efforts are still underway but the strategic focus is shifting toward one major trend – AI.
Beyond detecting and recommending treatments for ongoing problems, AI-driven personalization can also help with preventive care. Essentially, algorithms can analyze day-to-day patient metrics, like SPO2 and BP , and combine them with data related to lifestyle and genetics to predict the chances of a person suffering from a particular health problem — as well as the steps they can take to prevent it.
AI is also playing a crucial role in personalizing medical prescriptions, an area where 100% precision is vital. Incorrect drug prescriptions can lead to adverse reactions and even fatalities in some extreme cases. A 2016 study byThankfully, AI-powered tools can address this issue by analyzing factors such as patients' genetic makeup and medical histories to predict how they will respond to specific medications.