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JMIR Res Protoc. 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.

Author information

1
The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.
2
Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.
3
Department of Computer Science, Dartmouth College, Hanover, NH, United States.
4
Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.
5
Patient Partner, Hanover, NH, United States.
6
Oliver Center for Patient Safety and Quality Healthcare, University of Texas Medical Branch, Galveston, TX, United States.
7
Patient Partner, Ludington, MI, United States.
8
Dartmouth College, Hanover, NH, United States.
9
Ryan Family Practice, Ludington, MI, United States.

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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