Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Formative Research

Date Submitted: Aug 17, 2021
Open Peer Review Period: Aug 17, 2021 - Aug 25, 2021
Date Accepted: Nov 22, 2021
Date Submitted to PubMed: Apr 22, 2022
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Design and Evaluation of a Smartphone Medical Guidance App for Outpatients of Large-Scale Medical Institutions: Retrospective Observational Study

Teramoto K, Kuwata S

Design and Evaluation of a Smartphone Medical Guidance App for Outpatients of Large-Scale Medical Institutions: Retrospective Observational Study

JMIR Form Res 2022;6(4):e32990

DOI: 10.2196/32990

PMID: 34818208

PMCID: 9037305

Design and Evaluation of a Smartphone Medical Guidance App for Outpatients of Large-Scale Medical Institutions: A Retrospective Observational Study

  • Kei Teramoto; 
  • Shigeki Kuwata

ABSTRACT

Background:

The greatest stressor for outpatients is the waiting time before the start of the examination. If the patient is able to use their smartphone to check in with the reception, the patient can wait for their examination at any location, and the burden of waiting time can be reduced.

Objective:

This study aimed to report the design approach and post-introduction outcomes of the Tori RinRin (TR2) system that was developed to reduce outpatient burden imposed by wait times before examination.

Methods:

The TR2 system was introduced at Tottori University Hospital, a large medical facility that accepts an average of 1,500 outpatients daily. The system, which links the hospital’s electronic medical record database with patients’ mobile devices, has the following two functions: 1) GPS-based examination check-in processing and 2) sending appointment notification messages via a cloud notification service.

Results:

In an investigation of 363 subjects, the mean examination call message response time using the TR2 system was 31 seconds (median 14 seconds). After 12 months, the system had 5,994 registered users and was used by a daily average of 18% of outpatients (mean ± SD = 155.7 ± 30.3). Among 166 subjects who responded to a user survey, 86.7% (144 of 166 patients) said that the system was useful.

Conclusions:

The ability of 18% of outpatients at a large medical facility to check in remotely and wait for examinations anywhere is effective for preventing the spread of infection, especially during pandemics such as the coronavirus disease. The app reported in this study is beneficial for large medical facilities striving to reduce outpatient burden imposed by wait times.


 Citation

Please cite as:

Teramoto K, Kuwata S

Design and Evaluation of a Smartphone Medical Guidance App for Outpatients of Large-Scale Medical Institutions: Retrospective Observational Study

JMIR Form Res 2022;6(4):e32990

DOI: 10.2196/32990

PMID: 34818208

PMCID: 9037305

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.