scholarly journals A Blueprint for Success: User-centered design of a multidisciplinary electronic discharge readiness tool (Preprint)

2020 ◽  
Author(s):  
Angela Keniston ◽  
Lauren McBeth ◽  
Jonathan Pell Sr ◽  
Kacey Bowden ◽  
Stephen Ball ◽  
...  
Keyword(s):  
Pilot Study ◽  
Discharge Planning ◽  
Patient Discharge ◽  
Successful Implementation ◽  
User Centered Design ◽  
Communication Tool ◽  
Design Strategies ◽  
Multiple User ◽  
Discharge Readiness ◽  
User Centered

BACKGROUND Typical solutions for improving discharge planning often rely on one-way communication mechanisms, static data entry into the electronic health record (EHR), or in-person meetings. Applying robust user-centered design, we have created a dynamic EHR discharge readiness tool, allowing the care team to communicate the status of patient discharge readiness and patient discharge needs in real-time across hospital settings. OBJECTIVE Applying robust user-centered design strategies, design an innovative EHR-based discharge communication tool. METHODS We employed multiple user-centered design strategies, including exploring the current state for documenting discharge readiness and directing discharge planning, iterative low-fidelity prototypes, multi-disciplinary stakeholder meetings, Brainwriting Premortem exercise, and pre-production user testing. We iteratively collected feedback from users via meetings and surveys. RESULTS We conducted 28 meetings with 20 different stakeholder groups. From these stakeholder meetings, we developed 14 low fidelity prototypes prior to deploying the Discharge Today tool for our pilot study. During the pilot study, stakeholders requested 46 modifications, 54% successfully executed. We found most providers who responded to the survey reported that the tool either saved time or did not change the amount time required to complete their discharge workflow (21, 87.5%). Responses to open-ended questions offered both positive feedback and opportunities for improvement in the domains of efficiency, integration into workflow, redundancies avoided, expedited communication, and patient-centeredness. CONCLUSIONS Survey data suggest that this electronic discharge readiness tool has been successfully adopted by providers and clinical staff. Frequent stakeholder engagement and iterative user-centered design was critical to the successful implementation of this tool. CLINICALTRIAL Not applicable

scholarly journals A glossary of user-centered design strategies for implementation experts

2018 ◽  
Vol 9 (6) ◽  
pp. 1057-1064 ◽  
Author(s):  
Alex R Dopp ◽  
Kathryn E Parisi ◽  
Sean A Munson ◽  
Aaron R Lyon
Keyword(s):  
Health Care ◽  
Everyday Practice ◽  
User Centered Design ◽  
Design Strategies ◽  
Design Techniques ◽  
User Centered

We developed a glossary of design techniques, which researchers and providers can use to maximize the usability of health care innovations in everyday practice settings.

scholarly journals A User-Centered Chatbot (Wakamola) to Collect Linked Data in Population Networks to Support Studies of Overweight and Obesity Causes: Design and Pilot Study (Preprint)

2019 ◽  
Author(s):  
Sabina Asensio-Cuesta ◽  
Vicent Blanes-Selva ◽  
J Alberto Conejero ◽  
Ana Frigola ◽  
Manuel G Portolés ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Network ◽  
Pilot Study ◽  
Linked Data ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
User Centered Design ◽  
Diet Patterns ◽  
Status Score ◽  
User Centered

BACKGROUND Obesity and overweight are a serious health problem worldwide with multiple and connected causes. Simultaneously, chatbots are becoming increasingly popular as a way to interact with users in mobile health apps. OBJECTIVE This study reports the user-centered design and feasibility study of a chatbot to collect linked data to support the study of individual and social overweight and obesity causes in populations. METHODS We first studied the users’ needs and gathered users’ graphical preferences through an open survey on 52 wireframes designed by 150 design students; it also included questions about sociodemographics, diet and activity habits, the need for overweight and obesity apps, and desired functionality. We also interviewed an expert panel. We then designed and developed a chatbot. Finally, we conducted a pilot study to test feasibility. RESULTS We collected 452 answers to the survey and interviewed 4 specialists. Based on this research, we developed a Telegram chatbot named Wakamola structured in six sections: personal, diet, physical activity, social network, user's status score, and project information. We defined a user's status score as a normalized sum (0-100) of scores about diet (frequency of eating 50 foods), physical activity, BMI, and social network. We performed a pilot to evaluate the chatbot implementation among 85 healthy volunteers. Of 74 participants who completed all sections, we found 8 underweight people (11%), 5 overweight people (7%), and no obesity cases. The mean BMI was 21.4 kg/m<sup>2</sup> (normal weight). The most consumed foods were olive oil, milk and derivatives, cereals, vegetables, and fruits. People walked 10 minutes on 5.8 days per week, slept 7.02 hours per day, and were sitting 30.57 hours per week. Moreover, we were able to create a social network with 74 users, 178 relations, and 12 communities. CONCLUSIONS The Telegram chatbot Wakamola is a feasible tool to collect data from a population about sociodemographics, diet patterns, physical activity, BMI, and specific diseases. Besides, the chatbot allows the connection of users in a social network to study overweight and obesity causes from both individual and social perspectives.

scholarly journals A User-Centered Chatbot (Wakamola) to Collect Linked Data in Population Networks to Support Studies of Overweight and Obesity Causes: Design and Pilot Study

10.2196/17503 ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. e17503
Author(s):  
Sabina Asensio-Cuesta ◽  
Vicent Blanes-Selva ◽  
J Alberto Conejero ◽  
Ana Frigola ◽  
Manuel G Portolés ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Network ◽  
Pilot Study ◽  
Linked Data ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
User Centered Design ◽  
Diet Patterns ◽  
Status Score ◽  
User Centered

Background Obesity and overweight are a serious health problem worldwide with multiple and connected causes. Simultaneously, chatbots are becoming increasingly popular as a way to interact with users in mobile health apps. Objective This study reports the user-centered design and feasibility study of a chatbot to collect linked data to support the study of individual and social overweight and obesity causes in populations. Methods We first studied the users’ needs and gathered users’ graphical preferences through an open survey on 52 wireframes designed by 150 design students; it also included questions about sociodemographics, diet and activity habits, the need for overweight and obesity apps, and desired functionality. We also interviewed an expert panel. We then designed and developed a chatbot. Finally, we conducted a pilot study to test feasibility. Results We collected 452 answers to the survey and interviewed 4 specialists. Based on this research, we developed a Telegram chatbot named Wakamola structured in six sections: personal, diet, physical activity, social network, user's status score, and project information. We defined a user's status score as a normalized sum (0-100) of scores about diet (frequency of eating 50 foods), physical activity, BMI, and social network. We performed a pilot to evaluate the chatbot implementation among 85 healthy volunteers. Of 74 participants who completed all sections, we found 8 underweight people (11%), 5 overweight people (7%), and no obesity cases. The mean BMI was 21.4 kg/m2 (normal weight). The most consumed foods were olive oil, milk and derivatives, cereals, vegetables, and fruits. People walked 10 minutes on 5.8 days per week, slept 7.02 hours per day, and were sitting 30.57 hours per week. Moreover, we were able to create a social network with 74 users, 178 relations, and 12 communities. Conclusions The Telegram chatbot Wakamola is a feasible tool to collect data from a population about sociodemographics, diet patterns, physical activity, BMI, and specific diseases. Besides, the chatbot allows the connection of users in a social network to study overweight and obesity causes from both individual and social perspectives.

User‐Centered Design of a Communication Tool to Address Diabetes Disparities in African American Communities

2021 ◽  
Vol 56 (S2) ◽  
pp. 71-71
Author(s):  
Yhenneko Taylor ◽  
C. Danielle Connor ◽  
Sandy Robertson ◽  
Sveta Mohanan
Keyword(s):  
African American ◽  
User Centered Design ◽  
Communication Tool ◽  
African American Communities ◽  
User Centered

Identifying Parent's Security Requirements for Web Filtering in MOOCs for Kids

2016 ◽  
pp. 48-66 ◽  
Author(s):  
Juanita Avila Sánchez ◽  
Ricardo Mendoza González
Keyword(s):  
Security Requirements ◽  
User Centered Design ◽  
Design Strategies ◽  
Starting Point ◽  
Set Up ◽  
User Centered

This work investigates the challenges and concerns faced when users set up and use web filtering systems for children, and identifies those changes, in the configuration interface and notifications, that could improve the users' experience and satisfaction. The findings of this study derived from the perception of one hundred parents on the usability of ten web filtering systems. The obtained results could represent a convenient starting point for further design-strategies oriented to facilitate the user-centered design in order to get web filtering systems easy to interpret and understand, thus helping to reduce configuration errors that create gaps in the safety of kids when using MOOCs and their integrated social tools.

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