The joint research initiative with Nuance and UPMC centers on three use cases. These use cases reflect real-life UPMC scenarios, and were selected for their potential as opportunities to develop Medical Intelligence solutions that transform the way patient information is captured, understood and used by caregivers. The goal is to improve the quality and efficiency of care.
- Improve the quality of clinician documentation: This use case focuses on clinicians during speech recognition-enabled documentation. It monitors their documentation continuously and, when necessary, prompts for additional information to help improve documentation. This use case will help improve clinical documentation for patient care, ensuring appropriate reimbursement and quality reporting, while facilitating transition from ICD-9 to ICD-10 for physicians and staff. It also will reduce of the number of disruptive queries for additional information.
- Clinical Data Repository Intelligent Search (CDRIS): This use case analyzes the data after the clinician finishes documentation. Clinical Language Understanding (CLU) solutions turn narrative data into structured, discrete data, building a clinical data repository the quality staff can use to query the data. As part of this project, Nuance and UPMC also will develop analytics and visualization tools.
- Improving clinician entry of data into the EHR: In this case, the EHR is populated by extracting structured, "actionable" information from unstructured (dictated) medical documents. Enabling Meaningful Use, this solution will integrate fully with such Nuance clinical documentation products as eScription, iChart and Dragon Medical. By automatically extracting clinical facts from dictation, this solution simultaneously preserves the patient’s unique clinical and streamlines EHR population.