Abstract: A recommendation system for improved medical care powered by optimized care for medication reconciliation uses an artificial intelligence platform. Artificial Intelligence and machine learning (ML) based approaches significantly optimize the care delivered to a patient user and efficiently utilizes medication reconciliation workflows in healthcare organizations. By identifying a patient, enabling automatic reminders to complete medication reviews before, during, and after visits, care delivery with respect to medication reconciliation is optimized.

Abstract: Methods and apparatus for facilitating the collection of information during a patient visit to a healthcare provider. Each of plurality of tasks to be performed during a patient visit are associated with a stages of the patient visit. One or more users are guided through the stages of the patient visit to complete the associated tasks associated with each stage. A user interface associated with an electronic health records system displays pages for each stage that enable the users to enter information during the patient visit. The amount of time that users spend entering information in the electronic health records system during each stage is tracked and is used to generate one or more reports that enable a medical practice to improve the patient visit workflow.