scholarly journals Prototyping the Automated Food Imaging and Nutrient Intake Tracking System: Modified Participatory Iterative Design Sprint (Preprint)

2018 ◽  
Author(s):  
Kaylen J Pfisterer ◽  
Jennifer Boger ◽  
Alexander Wong

BACKGROUND A total of 45% of older adults living in long-term care (LTC) have some form of malnutrition. Several methods of tracking food and fluid intake exist, but they are limited in terms of their accuracy and ease of application. An easy-to-use, objective, accurate, and comprehensive food intake system designed with LTC in mind may provide additional insights regarding nutritional support systems and nutritional interventions. OBJECTIVE The aim of this study was to conduct a multistage participatory iterative design sprint of a Goldilocks quality horizontal prototype for the Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) system. Specific design objectives included the following: (1) identify practice-relevant problems and solutions through user-centered participatory design, (2) mitigate feasibility-related barriers to uptake, and (3) employ user-centered technology development. METHODS A 6-stage iterative participatory design sprint was developed and executed. A total of 38 participants and advisors representing 15 distinct roles (eg, personal support worker, nurse, and dietitian) were engaged in the design sprint. Subjective workload (Raw Task Load Index), subjective usability scales, and a modified Ravden checklist were used to assess project advisors’ perceptions of the AFINI-T system prototype compared with the current method of food and fluid intake charting. RESULTS The top priorities for this system were identified as the following: ease of use, high accuracy, system reliability, ease of maintenance, and requirement of integrating with the current PointClickCare system. Data from project advisors informed design decisions leading to a Goldilocks quality horizontal prototype of the AFINI-T system. Compared with the current food and fluid intake charting system, AFINI-T was perceived to have the following: less time demands (t10.8=4.89; P<.001), less effort (t13.5=5.55; P<.001), and less frustration (t13.0=3.80; P=.002). Usability ratings of the AFINI-T prototype were high, with a subjective usability score mean of 89.2 and the highest ratings on a modified Ravden usability checklist of “very satisfactory” for 7 out of 8 sections. CONCLUSIONS The AFINI-T concept system appears to have good practice relevance as a tool for an intelligent food and fluid intake tracking system in LTC. The AFINI-T concept system may provide improvement over the current system, and advisors are keen to try the AFINI-T system. This research gives tangible examples of how the sprint method can be adapted and applied to the development of novel needs-based application-driven technology.

10.2196/13017 ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. e13017 ◽  
Author(s):  
Kaylen J Pfisterer ◽  
Jennifer Boger ◽  
Alexander Wong

2011 ◽  
Vol 12 (1) ◽  
pp. 18-25 ◽  
Author(s):  
R Oates ◽  
N McPhee ◽  
M Lim Joon ◽  
M Schneider-Kolsky ◽  
T Kron

AbstractAims: To obtain an estimate of dietary fibre and fluid intake in Australian men undergoing prostate radiotherapy and to establish feasibility and patient compliance with recording normal diet without intervention during the radical course of radiotherapy.Methods: Eleven participants were enrolled and treated with 74–78 Gray (Gy) to the prostate over 8 weeks. Participants were instructed to record a diary of their food and fluid intake and bowel motions for the duration of treatment. Treating radiation therapists were instructed to initial the diet diary daily. Diet diaries were assessed for compliance by analysing the number of days over the treatment period and the number of diary pages submitted. The diet diaries were analysed for nutrient intake of fibre and fluids.Results: A total of 10 of 11 participants submitted a diet record for the full duration of treatment with a median compliance of 100% (range 90.4–100%) of days recorded. The mean (standard deviation) of fibre and fluids recorded in the diets were 21.5 g (5.5) and 2227.1 g (733.1), respectively.Conclusions: It is feasible for patients to record a diet diary over a radical course of prostate radiotherapy. In this study, most patients were highly compliant with submitting a diet record for each day during treatment.


1991 ◽  
Vol 1 (1) ◽  
pp. 79-85 ◽  
Author(s):  
Alice K. Lindeman

Meeting the energy demands of ultraendurance cycling requires careful planning and monitoring of food and fluid intake. This case study presents the nutrient intake of a cyclist while training for and competing in the Race Across AMerica (RAAM). Carbohydrate accounted for 65% of the calories consumed during training (4,743 kcal), 75% during 24-hr races (10,343 kcal), and 78% during RAAM (8,429 kcal). Gastrointestinal complaints during RAAM included nausea, feeling of fullness, and abdominal distension. Although probably exacerbated by sleep deprivation, these problems were all diet related. Based on this experience, it appears that by controlling the carbohydrate concentration of beverages, limiting dietary fiber, and relying on carbohydrate as the primary energy source, one could both control gastrointestinal symptoms and promote optimal performance in training and in ultramarathon cycling.


Author(s):  
Chloé Lavoué ◽  
Julien Siracusa ◽  
Émeric Chalchat ◽  
Cyprien Bourrilhon ◽  
Keyne Charlot

An amendment to this paper has been published and can be accessed via the original article.


Author(s):  
Sultan Alyahya ◽  
Ohoud Almughram

Abstract The integration of user-centered design (UCD) activities into agile information systems development has become more popular recently. Despite the fact that there are many ways the merging of UCD activities into agile development can be carried out, it has been widely recognized that coordinating design activities with development activities is one of the most common problems, especially in distributed environments where designers, developers and users are spread over several sites. The main approach to coordinate UCD activities with distributed agile development is the use of informal methods (e.g. communication through using video conference tools). In addition to the temporal, geographical and socio-cultural barriers associated with this type of methods, a major limitation is a lack of awareness of how UCD activities and development activities affect each other. Furthermore, some agile project management tools are integrated with design platforms but fail to provide the necessary coordination that helps team members understand how the design and development activities affect their daily work. This research aims to support the effective management of integrating UCD activities into distributed agile development by (i) identifying the key activity dependencies between UX design teams and development teams during distributed UCD/agile development and (ii) designing a computer-based system to provide coordination support through managing these activity dependencies. In order to achieve these objectives, two case studies are carried out. Our findings revealed 10 main dependencies between UCD design teams and development teams as shown by six types of activity. In addition, the participatory design approach shows that developing a computer-based system to manage seven of these selected dependencies is achievable.


2021 ◽  
Author(s):  
Jeonghwan Hwang ◽  
Taeheon Lee ◽  
Honggu Lee ◽  
Seonjeong Byun

BACKGROUND Despite the unprecedented performances of deep learning algorithms in clinical domains, full reviews of algorithmic predictions by human experts remain mandatory. Under these circumstances, artificial intelligence (AI) models are primarily designed as clinical decision support systems (CDSSs). However, from the perspective of clinical practitioners, the lack of clinical interpretability and user-centered interfaces block the adoption of these AI systems in practice. OBJECTIVE The aim of this study was to develop an AI-based CDSS for assisting polysomnographic technicians in reviewing AI-predicted sleep staging results. This study proposed and evaluated a CDSS that provides clinically sound explanations for AI predictions in a user-centered fashion. METHODS User needs for the system were identified during interviews with polysomnographic technicians. User observation sessions were conducted to understand the workflow of the practitioners during sleep scoring. Iterative design process was performed to ensure easy integration of the tool into clinical workflows. Then, we evaluated the system with polysomnographic technicians. We measured the improvements in sleep staging accuracies after adopting our tool and assessed qualitatively how the participants perceived and used the tool. RESULTS The user study revealed that technicians desire explanations relevant to key electroencephalogram (EEG) patterns for sleep staging when assessing the correctness of the AI predictions. Here, technicians could evaluate whether AI models properly locate and use those patterns during prediction. Based on this, information in AI models that is closely related to sleep EEG patterns was formulated and visualized during the iterative design process. Furthermore, we developed a different visualization strategy for each pattern based on the way the technicians interpreted the EEG recordings with these patterns during their workflows. Generally, the tool evaluation results from the nine polysomnographic technicians were positive. Quantitatively, technicians achieved better classification performances after reviewing the AI-generated predictions with the proposed system; classification accuracies measured with Macro-F1 scores improved from 60.20 to 62.71. Qualitatively, participants reported that the provided information from the tool effectively supported them, and they were able to develop notable adoption strategies for the tool. CONCLUSIONS Our findings indicate that formulating clinical explanations for automated predictions using the information in the AI with a user-centered design process is an effective strategy for developing a CDSS for sleep staging.


2018 ◽  
Vol 17 (6) ◽  
pp. 469-481 ◽  
Author(s):  
Katrina R. Lenz ◽  
Laurie A. Mitan ◽  
Susan R. Kleinhenz ◽  
Abigail Matthews

Avoidant/restrictive food intake disorder (ARFID) is characterized by restrictive eating in the absence of body image disturbance or drive for thinness, resulting in the persistent failure to meet appropriate nutritional and/or energy needs and/or psychosocial impairment. ARFID is a heterogeneous diagnosis with diverse etiologies. Thus, identification of best practice guidelines and evidence-based treatments for ARFID is challenging and, to our knowledge, randomized treatment studies have not been published. Existing literature promotes a multidisciplinary care approach that integrates behavioral, cognitive behavioral, and family-based interventions. In this report, we present the case of an 8-year-old female with ARFID who began restricting her food and fluid intake following a viral illness. The patient also choked on a lozenge at school and peers laughed in response, resulting in heightened fears of eating, subsequent dehydration, and admission to a gastroenterology unit at a pediatric hospital. While hospitalized, she was diagnosed with ARFID, a nasogastric tube (NGT) was placed, and was referred to outpatient eating disorder specialists. Despite participating in 16-outpatient therapy sessions, progress was limited and the patient was medically admitted to safely remove the NGT in the context of behavioral interventions targeting food refusal. This case report describes the successful use of an intensive inpatient behavioral intervention used for the patient, which resulted in the rapid resumption of food and fluid intake, by mouth. This case study supports the use of such intervention for ARFID when sufficient progress is not achieved in outpatient care.


2019 ◽  
Vol 1 (2) ◽  
pp. 85
Author(s):  
Mirza Hapsari Sakti Titis Penggalih ◽  
Mustika Cahya Nirmala Dewinta ◽  
Kurnia Mar'atus Solichah ◽  
Diana Pratiwi ◽  
Ibtidau Niamilah ◽  
...  

Athletes’ nutrition status, somatotype, and adequate dietary intake are strongly related to their sport performance. Examining those markers in adolescent age is essential in order to develop the optimum physical characteristics for the future. This study was conducted to identify the nutrition status based on anthropometry value, somatotype, food and fluid intake of youth athletic athletes in Indonesia. Descriptive quantitative design was used in this study. Subjects participated in the study were 25 youth athletic athletes from Students Education and Training Program (Program Pembinaan dan Pelatihan Pelajar) in Yogyakarta and Aceh, and School of Sports (Sekolah Keolahragaan) Ragunan, Jakarta Selatan. Anthropometry measurement consists of body weight, height, body fat percentage, and somatotype. Nutrition status was identified according to BMI/age and height/age. Food and fluid intake were assessed using 24-hour dietary recall interview and semi quantitative fluid frequency questionnaire. Descriptive statistical analysis was performed and the result was presented in mean and deviation standard. BMI/age values in male and female athletes were -2 SD ≤ Z ≥ +1 SD (normal) and +1 SD ≤ Z ≥ +2 SD (overweight), respectively. Height/age value for both gender was normal in -2 SD ≤ Z ≥ +2 SD. Percentage of body fat ranged in 12-16% for males and 18-28% for females. Somatotype category for males was ectomorphic mesomorph (2.3-5.0-3.3) and endomorphic mesomorph (4.4-5.6-2.0) for females. Fulfillment of energy and carbohydrate was found inadequate (< 80%), whereas fat intake was found excess (> 110%). Total fluid intake was ranged from 2700 ml to 5800 ml per day. Overweight nutrition status was still found in female athletes. Ideal somatotype was found only in male athletes. Excessive percentage of body fat was detected in both gender. Total energy, macro nutrients, micro nutrients, and fluid intake were inadequate compared to dietary recommendation.


1998 ◽  
Vol 12 (3) ◽  
pp. 183-188 ◽  
Author(s):  
J. T. Herlihy ◽  
H. A. Bertrand ◽  
J. D. Kim ◽  
Y. Ikeno ◽  
B. P. Yu

Sign in / Sign up

Export Citation Format

Share Document