Here are nine areas of healthcare in which machine learning can be deployed to make meaningful differences:
- Machine learning can be used to create precision, personalized medicine by predicting specific outcomes and suggesting tools based on a patient’s unique health history.
- AI can predict how likely a person may be to develop a certain condition in a categorization process.
- Machine learning can analyze and decipher medical images in certain fields like radiology and pathology.
- It can be used to check claims and payment data to ensure accuracy.
- Clinical documentation, revenue cycles and medical data systems can all employ machine learning programs to cut out unnecessary tasks for medical professionals.
- Tapping into machine learning to learn and predict patient health outcomes from social determinants of health can be translated into policy areas and law.
- Machine learning can be taught to decipher the vast amounts of unintelligible data produced from electronic health records.
- Clinical decision support tools look to machine learning to help enhance medical providers decision-making.
- AI is also increasingly used in drug development and discovery.
