![]() ![]() Physicians spend an average of 40% of their time on administrative tasks, of which clinical documentation is the most time-intensive task. First of all, it could decrease the administrative burden that is currently weighing down on physicians. How could a digital scribe improve clinical practice? There are several ways in which automating clinical documentation could have a positive impact on healthcare. Figure 1: Components of a digital scribe. The combination of these components is called a digital scribe (see Figure 1). ![]() Summarization can be done using a model that extracts sentences from the text ( extractive summarization) or generates new sentences ( abstractive summarization). Classification models can classify parts of the transcript as relevant or not or assign them to a specific part of the clinical note, such as the social history. ![]() For a clinical conversation, you could train this model to find symptoms, conditions, and medications. In entity extraction, a model is trained to find specific entities in a text, such as names or dates. This last step uses natural language processing (NLP), with techniques such as entity extraction, classification, or summarization. Then, the digital scribe extracts relevant information from the transcript and forms this into a summary. The digital scribe records the conversation using a microphone and automatically transcribes it using automatic speech recognition (ASR). Our recently published scoping review sheds light on this question 4.įirst things first: what is a digital scribe? A digital scribe is a system that supports physicians by automating a part of the clinical documentation task following a clinical conversation. This last perspective was published in 2019, so you might be wondering what has happened in the meantime and if we've come any closer to an actual digital scribe. The second one explained the challenges still facing the development and implementation of such a digital scribe 3. The first one described how clinical documentation would transfer from a human task to a computerized task in the form of a digital scribe 2. This commentary was followed by two perspectives published in npj Digital Medicine. This commentary, written by three physicians, asked technicians, data scientists, and physicians to join forces and 'unshackle' physicians from the electronic health record (EHR) using artificial intelligence (AI). Works with both Windows and Mac.In April 2018, a commentary called ' Reimagining Clinical Documentation Using Artificial Intelligence ' was published in Mayo Clinic Proceedings 1. Improve your transcription turn-around time and increase productivity with a transcription foot pedal. Setup is easy with the "plug and play" install wizard. Professional Foot Pedals Increase your words per minute by giving your feet control of playback with a professional foot pedal.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |