| Title |
Development and User Research of a Smart Bedside Station System toward Patient-Centered Healthcare System
|
|---|---|
| Published in |
Journal of Medical Systems, July 2015
|
| DOI | 10.1007/s10916-015-0273-8 |
| Pubmed ID | |
| Authors |
Sooyoung Yoo, Kee-Hyuck Lee, Hyunyoung Baek, Borim Ryu, Eunja Chung, Kidong Kim, Jay Chaeyong Yi, Soo Beom Park, Hee Hwang |
| Abstract |
User experience design that reflects real-world application and aims to support suitable service solutions has arisen as one of the current issues in the medical informatics research domain. The Smart Bedside Station (SBS) is a screen that is installed on the bedside for the personal use and provides a variety of convenient services for the patients. Recently, bedside terminal systems have been increasingly adopted in hospitals due to the rapid growth of advanced technology in healthcare at the point of care. We designed user experience (UX) research to derive users' unmet needs and major functions that are frequently used in the field. To develop the SBS service, a service design methodology, the Double Diamond Design Process Model, was undertaken. The problems or directions of the complex clinical workflow of the hospital, the requirements of stakeholders, and environmental factors were identified through the study. The SBS system services provided to patients were linked to the hospital's main services or to related electronic medical record (EMR) data. Seven key services were derived from the results of the study. The primary services were as follows: Bedside Check In and Out, Bedside Room Service, Bedside Scheduler, Ready for Rounds, My Medical Chart, Featured Healthcare Content, and Bedside Community. This research developed a patient-centered SBS system with improved UX using service design methodology applied to complex and technical medical services, providing insights to improve the current healthcare system. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Unknown | 71 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 18% |
| Researcher | 10 | 14% |
| Student > Master | 10 | 14% |
| Student > Bachelor | 6 | 8% |
| Student > Postgraduate | 5 | 7% |
| Other | 14 | 19% |
| Unknown | 14 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 25% |
| Medicine and Dentistry | 7 | 10% |
| Engineering | 7 | 10% |
| Nursing and Health Professions | 6 | 8% |
| Design | 5 | 7% |
| Other | 11 | 15% |
| Unknown | 18 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 July 2015.
All research outputs
#20,284,384
of 22,818,766 outputs
Outputs from Journal of Medical Systems
#999
of 1,149 outputs
Outputs of similar age
#219,914
of 263,272 outputs
Outputs of similar age from Journal of Medical Systems
#20
of 36 outputs
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