A Case Study of the Application of the Systems Development Life Cycle (SDLC) in 21st Century Health Care: Something Old, Something New?

McMurtrey, Mark E.

doi:10.3998/jsais.11880084.0001.103

Cited by 13 publications

(7 citation statements)

References 12 publications

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“…Developers were hired, and development followed stages from the software development lifecycle, selected due to its applicability to both business and health care scenarios [ 35 ]. The stages of our software development lifecycle were iterative and tailored to incorporate agile development ideologies [ 36 ].…”

Section: Methodsmentioning

confidence: 99%

Guidelines and Recommendations for Developing Interactive eHealth Apps for Complex Messaging in Health Promotion

Heffernan¹,

Chang²,

Maclean³

et al. 2016

JMIR mHealth uHealth

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BackgroundThe now ubiquitous catchphrase, “There’s an app for that,” rings true owing to the growing number of mobile phone apps. In excess of 97,000 eHealth apps are available in major app stores. Yet the effectiveness of these apps varies greatly. While a minority of apps are developed grounded in theory and in conjunction with health care experts, the vast majority are not. This is concerning given the Hippocratic notion of “do no harm.” There is currently no unified formal theory for developing interactive eHealth apps, and development is especially difficult when complex messaging is required, such as in health promotion and prevention.ObjectiveThis paper aims to provide insight into the creation of interactive eHealth apps for complex messaging, by leveraging the Safe-D case study, which involved complex messaging required to guide safe but sufficient UV exposure for vitamin D synthesis in users. We aim to create recommendations for developing interactive eHealth apps for complex messages based on the lessons learned during Safe-D app development.MethodsFor this case study we developed an Apple and Android app, both named Safe-D, to safely improve vitamin D status in young women through encouraging safe ultraviolet radiation exposure. The app was developed through participatory action research involving medical and human computer interaction researchers, subject matter expert clinicians, external developers, and target users. The recommendations for development were created from analysis of the development process.ResultsBy working with clinicians and implementing disparate design examples from the literature, we developed the Safe-D app. From this development process, recommendations for developing interactive eHealth apps for complex messaging were created: (1) involve a multidisciplinary team in the development process, (2) manage complex messages to engage users, and (3) design for interactivity (tailor recommendations, remove barriers to use, design for simplicity).ConclusionsThis research has provided principles for developing interactive eHealth apps for complex messaging as guidelines by aggregating existing design concepts and expanding these concepts and new learnings from our development process. A set of guidelines to develop interactive eHealth apps generally, and specifically those for complex messaging, was previously missing from the literature; this research has contributed these principles. Safe-D delivers complex messaging simply, to aid education, and explicitly, considering user safety.

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Section: Methodsmentioning

confidence: 99%

Guidelines and Recommendations for Developing Interactive eHealth Apps for Complex Messaging in Health Promotion

Heffernan¹,

Chang²,

Maclean³

et al. 2016

JMIR mHealth uHealth

View full text Add to dashboard Cite

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“…Performance testing was performed to measure the Backpropagation artificial neural network method in classifying the timeliness of the student graduation in terms of accuracy, precision, recall, and F-Measure [14]. Testing was by analyzing the predicted class value for learning rate of 0.1, 0.3, 0.5, 0.7, and 0.9 with iteration limits of 1,000, 2,000 and 3,000.…”

Section: Performance Testingmentioning

confidence: 99%

Implementation of Backpropagation Neural Network Method in Classification System of Timeliness of Graduation

Nurdiansyah¹,

Media²,

Hizam³

2019

Proceedings of the International Conference of Science and Technology for the Internet of Things

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Information Systems is one of the study programs at the University of Jember which was established since 2009. To earn a degree of bachelor, students must pass 144 credits of 4-5 years study period. Method for classifying using an artificial neural network of Backpropagation. Attribute used for classification is 9 attributes, namely Grade Point Average (GPA) from 1 to 6 semester, the number of credits taken, the last semester taking Student Study Service (KKN) and Internship (PKL). Class used for the classification is the timeliness of graduation. The implementation of this classification method is done by learning rate 0.1, 0.3, 0.5, 0.7, and 0.9 with the iteration limit of 1,000, 2,000, and 3,000. The highest accuracy is 98.82% for the 2000 and 3000, each with learning rate = 0.7 and 0.9 for the 2000 th iteration and learning rate = 0.5, 0.7 and 0, 9 for the 3000 th iteration.

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“…Software is the largest industry in the survey. The results of the surveys [35] were released in the year after the survey was conducted. The sizes and demographics of the annual surveys are given in Table 9.…”

Section: Agility Across Industriesversionone Surveymentioning

confidence: 99%

Software process models: a review and analysis

Haraty¹,

Hu²

2018

IJET

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Modeling of software process has been a very challenging problem and constantly debated in the software development community in the past 30+ years, largely due to the complex nature of the software development process that involves not only the technical knowledge and skills but also many other factors, such as human, management, quality assessment, and cost. Although the situations of creating software differ greatly from one case to another, there are some common themes shared by many of the situations, and hence various software process models have been emerged to address these common themes. In this paper, we present a review of the software process models commonly used in practice, from traditional to agile, and assessment of these models with metrics and case studies.

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A Case Study of the Application of the Systems Development Life Cycle (SDLC) in 21st Century Health Care: Something Old, Something New?

Cited by 13 publications

References 12 publications

Guidelines and Recommendations for Developing Interactive eHealth Apps for Complex Messaging in Health Promotion

Guidelines and Recommendations for Developing Interactive eHealth Apps for Complex Messaging in Health Promotion

Implementation of Backpropagation Neural Network Method in Classification System of Timeliness of Graduation

Software process models: a review and analysis

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