Preliminary research from AI-enabled value-based care provider Navina demonstrates that incorporating patient history into ambient scribe technology greatly improves documentation quality.
Preliminary research from AI-enabled value-based care provider Navina demonstrates that incorporating patient history into ambient scribe technology greatly improves documentation quality.
According to Navina’s research, the quality of documentation increased by 18% when historical context was added. Additionally, on a scale of 0 to 100, it raised the clinical note’s completeness score from 40.4 to 82.9.
It implies that ambient scribes by themselves are unable to accurately capture the complexity of chronic conditions or fully capture the context needed to save doctors time when searching through older patient records.
Navina evaluated completeness on a 100-point scale using a subset of the QNOTE clinical note documenting quality instrument. The study is now accessible as a preprint on medRxiv and still requires peer review.
According to Yair Lewis, M.D., Ph.D., Chief Medical Officer at Navina and a working physician, discussions between doctors and patients don’t always contain the information needed to assess the patient. He claimed that during a patient contact, details like precise lab levels and dates aren’t typically uttered out loud.
For individuals with diabetes and hypertension, Navina utilized 354 primary care encounters. The two prevalent illnesses serve as a stand-in for all chronic conditions in the study.
According to Lewis, the absence of essential medical information in the documentation can affect the quality of treatment provided downstream, have a financial impact on value-based care agreements, and prevent doctors from employing ambient scribe technology to save time.
Patient context has been integrated into the products of numerous large AI scribe firms. A context-aware agent in Nabla generates a patient summary prior to the appointment. Abridge promotes its clinical note generation technology’s projected difficulties section and electronic health record environment.
To locate pertinent information, Suki offers both a pre-visit overview and a question-and-answer feature with patients’ prior medical records. Ambience provides the clinician with an AI copilot and displays the patient’s history, lab results, and notes.