Medical Subject Headings (MeSH): Decision Making, Computer-Assisted

Computer-assisted decision making in healthcare refers to the use of computer algorithms and machine learning models to help healthcare providers make informed decisions about patient care. These algorithms and models may be based on data from electronic health records (EHRs), clinical trial data, and other sources, and are designed to identify patterns and relationships in the data that may be useful for decision-making.

In the healthcare industry, computer-assisted decision making may be used to predict patient outcomes, identify risk factors, or recommend treatment options. It may also be used to support population health management efforts, such as identifying trends and patterns in patient data that may inform the development of targeted interventions or prevention strategies.

Computer-assisted decision making in healthcare is an important part of the healthcare industry, as it allows providers to use data and advanced analytics to inform their decision-making and improve patient care. It is also an emerging field that is expected to continue to grow and evolve in the coming years.

Overall, computer-assisted decision making in healthcare refers to the use of computer algorithms and machine learning models to help healthcare providers make informed decisions about patient care, with the goal of improving the quality and efficiency of healthcare services.