Can User Stories and Use Cases Be Used in Combination in a Same Project? A Systematic Review

2015 ◽  
pp. 15-24 ◽  
Author(s):  
Dennis Cohn-Muroy ◽  
José Antonio Pow-Sang
Keyword(s):  
Systematic Review ◽  
Use Cases ◽  
User Stories

scholarly journals Who Will Use This and Why? User Stories and Use Cases

2019 ◽  
Vol 38 (1) ◽  
pp. 5-7
Author(s):  
Kevin M Ford
Keyword(s):  
Complex System ◽  
Large Scale ◽  
Development Project ◽  
Use Cases ◽  
User Stories ◽  
Feature Request

User stories and use cases help focus any development project on those who stand to benefit, i.e. the project’s stakeholders, and can guard simultaneously against insufficient planning and software bloat. And the concepts, though most often thought of with respect to large-scale projects, apply in all circumstances, from the smallest feature request to an existing system to the redesign of a complex system.

scholarly journals Use of HIV Recency Assays for HIV Incidence Estimation and Non-Incidence Surveillance Use Cases: A systematic review

2021 ◽  
Author(s):  
Shelley N. Facente ◽  
Lillian Agyei ◽  
Andrew D. Maher ◽  
Mary Mahy ◽  
Shona Dalal ◽  
...  
Keyword(s):  
Systematic Review ◽  
Molecular Genetic ◽  
Field Performance ◽  
Use Cases ◽  
Surveillance Systems ◽  
Hiv Incidence ◽  
Recent Infection ◽  
Validation Data ◽  
Incidence Estimation ◽  
Age And Sex

ABSTRACTIntroductionHIV assays designed to detect recent infection, also known as “recency assays,” are often used to estimate HIV incidence in a specific country, region, or subpopulation, alone or as part of recent infection testing algorithms (RITAs). Recently, many countries and organizations have become interested in using recency assays within case surveillance systems and routine HIV testing services, and in measuring other indicators beyond incidence, generally referred to as “non-incidence surveillance use cases.”MethodsTo identify best methodological and field implementation practices for the use of recency assays to estimate HIV incidence and trends in recent infections for key populations or specific geographic areas, we undertook: 1) a global Call for Information released from WHO/UNAIDS; and 2) a systematic review of the literature to: (a) assess the field performance characteristics of commercially available recency assays, (b) understand the use of recency testing for surveillance in programmatic and laboratory settings, and (c) review methodologies for implementing recency testing for both incidence estimation and non-incidence use cases.Results and discussionAmong the 90 documents ultimately reviewed, 65 (88%) focused on assay/algorithm performance or methodological descriptions, with high-quality evidence of accurate age- and sex- disaggregated HIV incidence estimation at national or regional levels in general population settings, but not at finer geographic levels for prevention prioritization. The remaining 25 documents described field-derived incidence (n=14) and non-incidence (n=11) use cases, including integrating RITAs into routine surveillance and assisting with molecular genetic analyses, but evidence was generally weaker or only reported on what was done, without validation data or findings related to effectiveness of recency assays when used for these purposes.ConclusionsHIV recency assays have been widely validated for estimating HIV incidence in age- and sex-specific populations at national and sub-national regional levels; however, there was a lack of evidence validating the accuracy and effectiveness of using recency assays for non-incidence surveillance use cases. The evidence identified through this review will be used in forthcoming technical guidance on the use of HIV recency assays for surveillance use cases by WHO and UNAIDS; further evidence on methodologies and effectiveness of non-incidence use cases is needed.

Fast Healthcare Interoperability Resources (FHIR) for Interoperability in Health Research: A Systematic Review (Preprint)

2021 ◽  
Author(s):  
Carina Nina Vorisek ◽  
Moritz Lehne ◽  
Sophie Anne Ines Klopfenstein ◽  
Alexander Bartschke ◽  
Thomas Haese ◽  
...  
Keyword(s):  
Public Health ◽  
Systematic Review ◽  
Health Research ◽  
Use Cases ◽  
Data Sources ◽  
Cochrane Library ◽  
Snomed Ct ◽  
Medical Specialties ◽  
Domain 3 ◽  
Public Health Epidemiology

BACKGROUND The standard Fast Healthcare Interoperability Resources (FHIR) is widely used in health information technology. However, its use as a standard for health research is still less prevalent. To use existing data sources more efficiently for health research, data interoperability becomes increasingly important. FHIR provides solutions by offering resource domains such as “Public Health & Research” and “Evidence-Based Medicine” while using already established web technologies. Therefore, FHIR could help to standardize data across different data sources and improve interoperability in health research. OBJECTIVE The aim of our study was to provide a systematic review of existing literature and determine the current state of FHIR implementations in health research and possible future directions. METHODS We searched PubMed/Medline, EMBASE, Web of Science, IEEE Xplore and the Cochrane Library databases for studies published from 2010 to 2021. Studies investigating the use of FHIR in health research were included. Articles published before 2010, abstracts, reviews, editorials and expert opinions were excluded. We followed the PRISMA guidelines and registered this study with PROSPERO, CRD42021235393. Data synthesis was done in tables and figures. RESULTS We identified a total of 674 studies, of which 28 studies were eligible for inclusion. Most studies covered the domain of clinical research (22/28) while the remaining studies focused on public health/ epidemiology (3/28) or did not specify their research domain (3/28). Studies used FHIR for data capture (11/28), standardization of data (7/28), analysis (4/28), recruitment (4/28) and consent management (2/28). Most studies had a generic approach (15/28) and nine of 13 studies focusing on specific medical specialties (infectious disease, genomics, oncology, environmental health, imaging, pulmonary hypertension) reported their solutions to be conferrable to other use cases. Half of the studies reported using additional data models or terminologies: SNOMED CT (8/14), LOINC (8/14), ICD-10 (6/14), OMOP CDM (3/14) and others (9/14). Only one study used a FHIR resource from the domain “Public Health & Research”. Limitations using FHIR included the possible change in the content of FHIR resources, safety and legal matters and the need for a FHIR server. CONCLUSIONS Our review found that FHIR can be implemented in health research and that the areas of application are broad and generalizable in most use cases. Implementation of international terminologies was common and other standards such as OMOP CDM could be used complementary with FHIR. Limitations such as change of FHIR content, lack of FHIR implementation, safety and legal matters need to be addressed in future releases to expand the use of FHIR and therefore interoperability in health research.

The Value and Applications of Blockchain Technology in Business: A Systematic Review of Real Use Cases

2021 ◽  
pp. 149-160
Author(s):  
Oscar Lage ◽  
María Saiz-Santos ◽  
José Manuel Zarzuelo
Keyword(s):  
Systematic Review ◽  
Use Cases ◽  
Blockchain Technology

A Systematic Review of Use Cases based Software Testing Techniques

2016 ◽  
Vol 10 (11) ◽  
pp. 337-360
Author(s):  
Asad Masood Qazi ◽  
Adnan Rauf ◽  
Nasir Mehmood Minhas
Keyword(s):  
Systematic Review ◽  
Software Testing ◽  
Use Cases ◽  
Testing Techniques

scholarly journals Blockchain Technology in Healthcare: A Systematic Review

Healthcare ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 56 ◽  
Author(s):  
Cornelius Agbo ◽  
Qusay Mahmoud ◽  
J. Eklund
Keyword(s):  
Systematic Review ◽  
Health Informatics ◽  
Meta Analysis ◽  
Use Cases ◽  
Research Progress ◽  
Future Research ◽  
Systematic Mapping Study ◽  
Ongoing Research ◽  
Blockchain Technology ◽  
Study Process

Since blockchain was introduced through Bitcoin, research has been ongoing to extend its applications to non-financial use cases. Healthcare is one industry in which blockchain is expected to have significant impacts. Research in this area is relatively new but growing rapidly; so, health informatics researchers and practitioners are always struggling to keep pace with research progress in this area. This paper reports on a systematic review of the ongoing research in the application of blockchain technology in healthcare. The research methodology is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines and a systematic mapping study process, in which a well-designed search protocol is used to search four scientific databases, to identify, extract and analyze all relevant publications. The review shows that a number of studies have proposed different use cases for the application of blockchain in healthcare; however, there is a lack of adequate prototype implementations and studies to characterize the effectiveness of these proposed use cases. The review further highlights the state-of-the-art in the development of blockchain applications for healthcare, their limitations and the areas for future research. To this end, therefore, there is still the need for more research to better understand, characterize and evaluate the utility of blockchain in healthcare.

scholarly journals Use cases for COVID-19 screening and surveillance with rapid antigen-detecting tests: a systematic review

2021 ◽  
Author(s):  
Apoorva Anand ◽  
Jacob Bigio ◽  
Emily MacLean ◽  
Talya Underwood ◽  
Nitika Pant Pai ◽  
...  
Keyword(s):  
Systematic Review ◽  
Real World ◽  
Large Scale ◽  
Low Cost ◽  
Risk Of Bias ◽  
Use Cases ◽  
Global Alliance ◽  
Prevalence Survey ◽  
Screening And Surveillance ◽  
Wide Range

Introduction: Testing is critical to controlling the COVID-19 pandemic. Antigen-detecting rapid diagnostic tests (Ag-RDTs) that can be used at the point of care have the potential to increase access to COVID 19 testing, particularly in settings with limited laboratory capacity. This systematic review synthesized literature on specific use cases and performance of Ag RDTs for detecting SARS-CoV-2, for the first comprehensive assessment of Ag RDT use in real-world settings. Methods: We searched three databases (PubMed, EMBASE and medRxiv) up to 12 April 2021 for publications on Ag-RDT use for large-scale screening, irrespective of symptoms, and surveillance of COVID-19, excluding studies of only presumptive COVID-19 patients. We tabulated data on the study setting, populations, type of test, diagnostic performance and operational findings. We assessed risk of bias using QUADAS-2 and an adapted tool for prevalence studies. Results: From 4313 citations, 39 studies conducted in asymptomatic and symptomatic adults were included. Study sample sizes varied from 40 to >5 million. Of 39 studies, 37 (94.9%) investigated lateral flow Ag-RDTs and two (5.1%) investigated multiplex sandwich chemiluminescent enzyme immunoassay Ag-RDTs. Six categories of testing (screening/surveillance) initiatives were identified: mass screening (n=13), targeted screening (n=11), healthcare entry testing (n=6), at-home testing (n=4), surveillance (n=4) and prevalence survey (n=1). Across studies, Ag-RDT sensitivity varied from 40% to 100%. Ag-RDTs were noted as convenient, easy-to-use and low cost, with a rapid turnaround time and high user acceptability. Risk of bias was generally low or unclear across the studies. Conclusion: This systematic review demonstrates the use of Ag-RDTs across a wide range of real-world settings for screening and surveillance of COVID-19 in both symptomatic and asymptomatic individuals. Ag-RDTs were overall found to be easy-to-use, low cost and rapid tools, when consideration is given to their implementation and interpretation. The review was funded by FIND, the global alliance for diagnostics.

A Tale of Two Agile Requirements Engineering Practices

2018 ◽  
pp. 7577-7587
Author(s):  
Pankaj Kamthan ◽  
Terrill Fancott
Keyword(s):  
Requirements Engineering ◽  
Agile Software Development ◽  
Use Cases ◽  
User Stories ◽  
Similarities And Differences ◽  
Agile Software ◽  
Engineering Practices ◽  
Different Origins ◽  
Agile Requirements ◽  
Practical Implications

There are a number of concerns in agile software development, including requirements engineering. There are different types of agile requirement, of which currently the most common forms are use cases and user stories. The use cases and user stories have different origins, both in space and in time, but, by being among the practices of scenario-oriented requirements engineering (SORE), they are not entirely unrelated. The purpose of this article is to situate use cases and user stories in context of each other. This is done by means of a conceptual framework for systematically comparing use cases and user stories. The understanding of similarities and differences between use cases and user stories have pedagogical as well as practical implications.

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