Pub Date : 2020-08-01DOI: 10.1109/REWBAH51211.2020.00015
I. Davies, J. Weber, Morgan Price
Software-based clinical information systems like electronic medical records (EMR) and computerized decision support systems (CDS) have become instrumental for modern healthcare processes. However, the functionality offered by these systems needs to change in order to translate new knowledge discovered in healthcare research into clinical practice, particularly when considering large changes such as -omics and integration of continuous sensor data. A crucial prerequisite for successful knowledge translation is a sound understanding of end-user requirements. One challenge is the potentially large knowledge gap between healthcare practitioners and healthcare researchers. We propose that the Lead User method can be adapted to close this gap and report on an application of that method to elicit the requirements for introducing genomic-based decision support functions in primary care EMR software.
{"title":"Translating Advances in Medical Knowledge to Software Requirements : The Lead User Requirements Engineering Method - LURE","authors":"I. Davies, J. Weber, Morgan Price","doi":"10.1109/REWBAH51211.2020.00015","DOIUrl":"https://doi.org/10.1109/REWBAH51211.2020.00015","url":null,"abstract":"Software-based clinical information systems like electronic medical records (EMR) and computerized decision support systems (CDS) have become instrumental for modern healthcare processes. However, the functionality offered by these systems needs to change in order to translate new knowledge discovered in healthcare research into clinical practice, particularly when considering large changes such as -omics and integration of continuous sensor data. A crucial prerequisite for successful knowledge translation is a sound understanding of end-user requirements. One challenge is the potentially large knowledge gap between healthcare practitioners and healthcare researchers. We propose that the Lead User method can be adapted to close this gap and report on an application of that method to elicit the requirements for introducing genomic-based decision support functions in primary care EMR software.","PeriodicalId":255019,"journal":{"name":"2020 IEEE First International Workshop on Requirements Engineering for Well-Being, Aging, and Health (REWBAH)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124342041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/rewbah51211.2020.00004
Daniel Amyot
Using Work System Design, User Stories and Emotional Goal Modeling for an mHealth System 1 Nik Nailah Binti Abdullah (Monash University Malaysia), John Grundy (Monash University Australia), Jennifer McIntosh (Monash University Australia), Yen Chia How (Hospital Queen Elizabeth II, Malaysia), Sahrin Saharuddin (Hospital Queen Elizabeth II, Malaysia), Koh Keng Tat (Heart Failure Clinic, Malaysia), Eng Shinye (Heart Failure Clinic, Malaysia), Angie Julaina Anak Rastom (Heart Failure Clinic, Malaysia), and Noorma Liyana Binti Othman (Heart Failure Clinic, Malaysia)
{"title":"REWBAH 2020 TOC","authors":"Daniel Amyot","doi":"10.1109/rewbah51211.2020.00004","DOIUrl":"https://doi.org/10.1109/rewbah51211.2020.00004","url":null,"abstract":"Using Work System Design, User Stories and Emotional Goal Modeling for an mHealth System 1 Nik Nailah Binti Abdullah (Monash University Malaysia), John Grundy (Monash University Australia), Jennifer McIntosh (Monash University Australia), Yen Chia How (Hospital Queen Elizabeth II, Malaysia), Sahrin Saharuddin (Hospital Queen Elizabeth II, Malaysia), Koh Keng Tat (Heart Failure Clinic, Malaysia), Eng Shinye (Heart Failure Clinic, Malaysia), Angie Julaina Anak Rastom (Heart Failure Clinic, Malaysia), and Noorma Liyana Binti Othman (Heart Failure Clinic, Malaysia)","PeriodicalId":255019,"journal":{"name":"2020 IEEE First International Workshop on Requirements Engineering for Well-Being, Aging, and Health (REWBAH)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124453820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/REWBAH51211.2020.00007
N. Abdullah, J. Grundy, Jennifer McIntosh, Y. C. How, Sahrin Saharuddin, K. Tat, Eng Shinye, Angie Julaina Anak Rastom, Noorma Liyana Othman
In Malaysia, Heart Failure (HF) is one of the commonest reasons for hospitalization, with a quarter of HF patients readmitted within 30 days from the onset of acute HF. Reducing frequent hospitalization from HF would significantly reduce the burden on the health care system and resources. The opportunity exists to create digital health system to provide continuous patient care after the diagnosis of HF and subsequent discharge from inpatient care to reduce hospital readmission. This paper reports our ongoing project in Malaysia with the Ministry of Health Malaysia cardiac centers to address some of the barriers to continuous care for patients with chronic HF using digital health systems’ interventions. We have applied a combination of existing requirements approaches – work system design, User Stories, personas, and emotional goal modeling – for the elicitation, modeling, and analysis of requirements. In this paper we report the results of our research including key contributions, lessons learned and the strengths and limitations of our approaches.
{"title":"Using Work System Design, User Stories and Emotional Goal Modeling for an mHealth System","authors":"N. Abdullah, J. Grundy, Jennifer McIntosh, Y. C. How, Sahrin Saharuddin, K. Tat, Eng Shinye, Angie Julaina Anak Rastom, Noorma Liyana Othman","doi":"10.1109/REWBAH51211.2020.00007","DOIUrl":"https://doi.org/10.1109/REWBAH51211.2020.00007","url":null,"abstract":"In Malaysia, Heart Failure (HF) is one of the commonest reasons for hospitalization, with a quarter of HF patients readmitted within 30 days from the onset of acute HF. Reducing frequent hospitalization from HF would significantly reduce the burden on the health care system and resources. The opportunity exists to create digital health system to provide continuous patient care after the diagnosis of HF and subsequent discharge from inpatient care to reduce hospital readmission. This paper reports our ongoing project in Malaysia with the Ministry of Health Malaysia cardiac centers to address some of the barriers to continuous care for patients with chronic HF using digital health systems’ interventions. We have applied a combination of existing requirements approaches – work system design, User Stories, personas, and emotional goal modeling – for the elicitation, modeling, and analysis of requirements. In this paper we report the results of our research including key contributions, lessons learned and the strengths and limitations of our approaches.","PeriodicalId":255019,"journal":{"name":"2020 IEEE First International Workshop on Requirements Engineering for Well-Being, Aging, and Health (REWBAH)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128370602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/REWBAH51211.2020.00012
Wesley Hutchinson, S. Helal, C. Bull
Errors in medicine are a significant problem, highlighted as a global safety priority. General Practice is one clinical arena where error is more likely due to clinical decisions being made on a background of clinical complexity, undifferentiated symptoms and diseases, and multiple other factors as yet unquantified. Interventions designed to reduce error are either underutilised, untested, fail to produce lasting results, are designed on inadequate knowledge, or have failed to appreciate the interaction of multiple factors, both cognitive and systemic. We present a potential solution, in the form of GP Benchmark. GP Benchmark is an online simulation environment and tool designed to test clinical decision making in a group of practicing General Practitioners. Its aim is to address two pressing requirements: 1) the need to capture clinical decision making in real-time, in the context of personality, cognitive bias and environmental factors, and 2) the need to provide a validated platform that models the clinical environment so future intervention decisions may be tested without risking patient safety. We highlight the requirements satisfied for implementing GP Benchmark, the plans for validation, and discuss how GP Benchmark will be used to identify further requirements necessary to develop the environment into a tool for testing clinical decision support systems and error prevention strategies.
{"title":"GP Benchmark: Engineering a Crowd-Sourcing Platform for Real-Time Understanding of Personality and Cognitive Biases in Clinical Error","authors":"Wesley Hutchinson, S. Helal, C. Bull","doi":"10.1109/REWBAH51211.2020.00012","DOIUrl":"https://doi.org/10.1109/REWBAH51211.2020.00012","url":null,"abstract":"Errors in medicine are a significant problem, highlighted as a global safety priority. General Practice is one clinical arena where error is more likely due to clinical decisions being made on a background of clinical complexity, undifferentiated symptoms and diseases, and multiple other factors as yet unquantified. Interventions designed to reduce error are either underutilised, untested, fail to produce lasting results, are designed on inadequate knowledge, or have failed to appreciate the interaction of multiple factors, both cognitive and systemic. We present a potential solution, in the form of GP Benchmark. GP Benchmark is an online simulation environment and tool designed to test clinical decision making in a group of practicing General Practitioners. Its aim is to address two pressing requirements: 1) the need to capture clinical decision making in real-time, in the context of personality, cognitive bias and environmental factors, and 2) the need to provide a validated platform that models the clinical environment so future intervention decisions may be tested without risking patient safety. We highlight the requirements satisfied for implementing GP Benchmark, the plans for validation, and discuss how GP Benchmark will be used to identify further requirements necessary to develop the environment into a tool for testing clinical decision support systems and error prevention strategies.","PeriodicalId":255019,"journal":{"name":"2020 IEEE First International Workshop on Requirements Engineering for Well-Being, Aging, and Health (REWBAH)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130894745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/REWBAH51211.2020.00017
Ziqi Wei, Yijian Liu, Lin Liu, Eric Yu, J. Mylopoulos, Carl K. Chang
Aging imposes growing challenge across the globe. With the widespread availability of modern digital technologies, there is great potential for improving health/living conditions for the elderly. However, providing services for the elderly is a multifaceted problem with a multitude of alternative operationalizations that calls for a deep understanding of their requirements. The objective of this paper is to assess the needs for aging and the services required to address these needs. Recognizing that healthy aging involves balancing several major facets, we adopt a goal-oriented requirements analysis approach, drawing on Balanced Scorecard widely used in strategic business management to help professionals assess the aging needs of an elderly individual, the state of aging services in a jurisdiction (say, a city), or the status of aging related services provided by a service provider, and at the same time, identify areas of strength and weakness.
{"title":"Understanding Requirements for Technology-Supported Healthy Aging*","authors":"Ziqi Wei, Yijian Liu, Lin Liu, Eric Yu, J. Mylopoulos, Carl K. Chang","doi":"10.1109/REWBAH51211.2020.00017","DOIUrl":"https://doi.org/10.1109/REWBAH51211.2020.00017","url":null,"abstract":"Aging imposes growing challenge across the globe. With the widespread availability of modern digital technologies, there is great potential for improving health/living conditions for the elderly. However, providing services for the elderly is a multifaceted problem with a multitude of alternative operationalizations that calls for a deep understanding of their requirements. The objective of this paper is to assess the needs for aging and the services required to address these needs. Recognizing that healthy aging involves balancing several major facets, we adopt a goal-oriented requirements analysis approach, drawing on Balanced Scorecard widely used in strategic business management to help professionals assess the aging needs of an elderly individual, the state of aging services in a jurisdiction (say, a city), or the status of aging related services provided by a service provider, and at the same time, identify areas of strength and weakness.","PeriodicalId":255019,"journal":{"name":"2020 IEEE First International Workshop on Requirements Engineering for Well-Being, Aging, and Health (REWBAH)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134526361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/REWBAH51211.2020.00010
Bilal Ahmad, Ita Richardson, Sarah Beecham
The proportion of older adults (OAs) is increasing throughout the globe. One of the most important needs of this age group is to maintain active social engagement, which can be achieved through smartphone applications offering active social engagement facilities. But OAs are often reluctant to use these apps, which leads to lower uptake over time. The underlying problem is pitfalls in guidance to develop smartphone applications for older adults. This leads to a lack of usage of the guidance by practitioners and hence the reflection of these guidelines on apps for older adults is limited. We have researched this problem space by undertaking a mixed-methods empirical study with 235 OAs. We elicited requirements that can be used in the design and development of smartphone applications for older adults. The contribution of this study is an evaluated classification of the derived recommendations, called ReDEAP (Recommendations for DEveloping smartphone applications for an aging Population). ReDEAP serves as a starting point for researchers and practitioners designing smartphone applications for older adults.
{"title":"A Multi-method Approach for Requirements Elicitation for the Design and Development of Smartphone Applications for Older Adults","authors":"Bilal Ahmad, Ita Richardson, Sarah Beecham","doi":"10.1109/REWBAH51211.2020.00010","DOIUrl":"https://doi.org/10.1109/REWBAH51211.2020.00010","url":null,"abstract":"The proportion of older adults (OAs) is increasing throughout the globe. One of the most important needs of this age group is to maintain active social engagement, which can be achieved through smartphone applications offering active social engagement facilities. But OAs are often reluctant to use these apps, which leads to lower uptake over time. The underlying problem is pitfalls in guidance to develop smartphone applications for older adults. This leads to a lack of usage of the guidance by practitioners and hence the reflection of these guidelines on apps for older adults is limited. We have researched this problem space by undertaking a mixed-methods empirical study with 235 OAs. We elicited requirements that can be used in the design and development of smartphone applications for older adults. The contribution of this study is an evaluated classification of the derived recommendations, called ReDEAP (Recommendations for DEveloping smartphone applications for an aging Population). ReDEAP serves as a starting point for researchers and practitioners designing smartphone applications for older adults.","PeriodicalId":255019,"journal":{"name":"2020 IEEE First International Workshop on Requirements Engineering for Well-Being, Aging, and Health (REWBAH)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130589444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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