AI-powered diagnostics use the patient's unique history as a baseline against which small deviation flag a possible health condition in need of further investigation and treatment. In the short term, AI is initially likely to be adopted as an aid, rather than replacement, for human physicians.
AI will help to augment physicians diagnoses, and in the process, provide valuable insights for the AI to learn from. The continuous interaction between human physicians and the AI-models will enhance the accuracy of the systems. Over time, confidence in these systems will eventually delegate the task entirely for the AI system to operate autonomously.
Patient-facing AI: improving experience, costs, and outcomes
Patient self-service is a model that emphasizes choice and convenience by allowing appointments to rapidly and easily complete tasks such as scheduling appointments, paying bills and filling out or updating forms - all at their own convenience.
Intelligent self-service leverages ML and NLP by analyzing information, customizing patient experiences, and expediting processes to further increase convenience and efficiency.
Patient self-service can also help streamline provider operations by routing patients straight to an appointment or directing them to visit the registration desk, based upon predefined rules, thereby allowing the registration team to focus on a select group of patients who have a greater need for their value-added services.