NLP-Based, Automated Tool Assists Physicians With Real-Time Clinical Documentation
Industry
Healthcare
Application
Physician Documentation, Healthcare Data Management
AI Technologies Used
Natural Language Processing (NLP), Artificial Intelligence (AI)
The Client
The client is a healthcare quality evaluator who partners with several independently practicing physicians in the United States (US). The client compensates healthcare providers based on the quality of care they deliver. It is assessed through a list of patient progress notes consolidated by the physicians. These notes contained detailed information about patient clinical status, such as improvements or declines in patients’ health. It is prepared through manual documentation by the practitioners themselves.
The Problem
The healthcare services providers’ current method of manual documentation posed a major challenge to the streamlined adoption of documentation best practices across the client’s network. It was a highly time-consuming endeavor that took several hours. This challenge made the client approach us to develop an advanced, real-time automated transcription and documentation tool that captures and assists clinical documentation by physicians. The solution should also update the document notes within the client’s electronic healthcare records (EHR) system.
The Solution
Our seasoned AI development personnel were hired by the client to build the tool that used natural language processing (NLP) for real-time automated transcription and documentation. The NLP approach allows patient progress notes while the AI transcribes these notes in real time using a cloud speech recognition system. The notes automatically get updated within the client’s EHR system when physicians are done with the documentation.
The Results
The client and its partner healthcare service providers experienced enhanced productivity levels and resource optimization through the use of the newly developed tool. Documentation and streamlining of healthcare records became extremely streamlined. Both parties saved a considerable amount of their time and thousands of dollars which were now invested in newer core competencies.
