Sharing Annotated Audio Recordings of Clinic Visits With Patients-Development of the Open Recording Automated Logging System (ORALS): Study Protocol.

Paul J Barr,Haley Reicher,Glyn Elwyn,Amar Das,Rebecca Faill,Sheryl Piper,Saeed Hassanpour,Craig H Ganoe,Michelle D Dannenberg,James Ryan,William Haslett,Meredith C Masel,Roger Arend

doi:10.2196/resprot.7735

Abstract

BackgroundProviding patients with recordings of their clinic visits enhances patient and family engagement, yet few organizations routinely offer recordings. Challenges exist for organizations and patients, including data safety and navigating lengthy recordings. A secure system that allows patients to easily navigate recordings may be a solution.ObjectiveThe aim of this project is to develop and test an interoperable system to facilitate routine recording, the Open Recording Automated Logging System (ORALS), with the aim of increasing patient and family engagement. ORALS will consist of (1) technically proficient software using automated machine learning technology to enable accurate and automatic tagging of in-clinic audio recordings (tagging involves identifying elements of the clinic visit most important to patients [eg, treatment plan] on the recording) and (2) a secure, easy-to-use Web interface enabling the upload and accurate linkage of recordings to patients, which can be accessed at home.MethodsWe will use a mixed methods approach to develop and formatively test ORALS in 4 iterative stages: case study of pioneer clinics where recordings are currently offered to patients, ORALS design and user experience testing, ORALS software and user interface development, and rapid cycle testing of ORALS in a primary care clinic, assessing impact on patient and family engagement. Dartmouth’s Informatics Collaboratory for Design, Development and Dissemination team, patients, patient partners, caregivers, and clinicians will assist in developing ORALS.ResultsWe will implement a publication plan that includes a final project report and articles for peer-reviewed journals. In addition to this work, we will regularly report on our progress using popular relevant Tweet chats and online using our website, www.openrecordings.org. We will disseminate our work at relevant conferences (eg, Academy Health, Health Datapalooza, and the Institute for Healthcare Improvement Quality Forums). Finally, Iora Health, a US-wide network of primary care practices (www.iorahealth.com), has indicated a willingness to implement ORALS on a larger scale upon completion of this development project.ConclusionsUpon the completion of this project we will have developed a novel recording system that will be ready for large-scale testing. Our long-term goal is for ORALS to seamlessly fit into a clinic’s and patient’s daily routine, increasing levels of patient engagement and transparency of care.

Highlights

BackgroundHigher recall of medical information is associated with improved disease management, treatment adherence, and higher patient satisfaction; recall of medical information is often low, with 40% to 80% of medical information from a clinical visit forgotten immediately by patients [1,2,3,4,5]
We will use a mixed methods approach to develop and formatively test Open Recording Automated Logging System (ORALS) in 4 iterative stages: case study of pioneer clinics where recordings are currently offered to patients, ORALS design and user experience testing, ORALS software and user interface development, and rapid cycle testing of ORALS in a primary care clinic, assessing impact on patient and family engagement
In addition to this work, we will regularly report on our progress using popular relevant Tweet chats and online using our website, www.openrecordings.org

Summary

Introduction

BackgroundHigher recall of medical information is associated with improved disease management, treatment adherence, and higher patient satisfaction; recall of medical information is often low, with 40% to 80% of medical information from a clinical visit forgotten immediately by patients [1,2,3,4,5]. Low health literacy is associated with a reduction in the ability of patients to self-manage and interpret health messages and medication labels [12,13,14,15,16]. When patients find it difficult to comprehend health care information during the visit, they are in turn less able to recall information following the visit [17,18,19]. A secure system that allows patients to navigate recordings may be a solution

Methods

Results

Discussion

Conclusion