Use Cases for AI Scribe
With the importance being put on digital technologies to support GPs in reducing administrative burden and enhancing patient experience there is a need to understand the limitations of these technologies. To evaluate the utility and efficacy of these technologies the CoDE is developing a series of studies and experiments. These studies will answer questions like
- How much time is saved on administrative tasks?
- How accurate is the data generated?
- What is the patient experience?
Programmes of work are being developed to evaluate the use of ambient voice technology (AVT) in a number of different settings where the technology has the potential to make great savings to the NHS and enhance patient experience. The following studies are examples of how CoDE is building on previous studies focused on the GP consultation.
A major study is starting to examine the potential AVT in holistic assessments. We will be testing the technology to understand if an AI scribe can enhance multidisciplinary data capture and produce and accurate and dynamic combined assessment. One area of the study will aggregate inputs from GPs, nurses and physiotherapists into a unified document such as a Comprehensive Geriatric Assessment document. Future work would include how the incorporation of social care assessments can enhance the document.
A second study will focus on the use AVT in reducing the administrative burden in mental health assessments. In a similar manner to holistic assessments, the aggregation of multiple date sources into a patient record will be evaluated. Information coming from primary and secondary care settings. The research will evaluate how much time is saved when performing administrative tasks, resulting in cost savings. Other important factors that will be evaluated include the accuracy of the patient record, the effect of AVT on the quality of the clinician-patient conversation and patient satisfaction/engagement.