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. 2017 Jul 6;6(7):e121.
doi: 10.2196/resprot.7735.

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

Paul J Barr  1 , Michelle D Dannenberg  1 , Craig H Ganoe  2 , William Haslett  2 , Rebecca Faill  2 , Saeed Hassanpour  2   3   4 , Amar Das  1   2 , Roger Arend  5 , Meredith C Masel  6 , Sheryl Piper  7 , Haley Reicher  8 , James Ryan  9 , Glyn Elwyn  1
Affiliations

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

Paul J Barr et al. JMIR Res Protoc. .

Abstract

Background: Providing 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.

Objective: The 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.

Methods: We 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.

Results: We 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.

Conclusions: Upon 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.

Keywords: audiovisual aids; caregivers; disease management; machine learning; patient engagement; patients.

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Conflict of interest statement

Conflicts of Interest: Glyn Elwyn has been a consultant to Emmi Solutions LLC, which develops patient decision support tools; National Quality Forum on certification of decision support tools; Washington State Health Department on certification of decision support tools; PatientWisdom LLC; SciMentum LLC, Amsterdam; and Access Community Health Network, Chicago. He receives royalties on sales of the books Shared Decision Making (Oxford University Press) and Groups: A Guide to Small Group Work in Healthcare, Management, Education and Research (Radcliffe Press). Glyn Elwyn initiated and leads the Collaborative, which produces and publishes patient knowledge tools in the form of comparison tables (optiongrid.org) and has part ownership of the registered trademark. He owns copyright in CollaboRATE, IntegRATE, and Observer OPTION measures of shared decision making and care integration. These measures are freely available for use. Amar Das is the director of Healthcare Effectiveness Research at the IBM TJ Watson Research Center. The other authors have no conflicts to declare.

Figures

Figure 1
Figure 1
Stages of Open Recording Automated Logging System development.
Figure 2
Figure 2
A conceptual path to recording, tagging, and sharing the clinical encounter.
Figure 3
Figure 3
Open Recording Automated Logging System high-level architecture.
Figure 4
Figure 4
Plan-Do-Study-Act cycles: development of Open Recording Automated Logging System.
See this image and copyright information in PMC

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