User stories as lightweight requirements for agile clinical decision support development

Kannan, Vaishnavi; Basit, Mujeeb A.; Bajaj, Pramila; Carrington, Angela; Donahue, Irma B; Flahaven, Emily L; Medford, Richard J; Melaku, Tsedey; Moran, Brett; Saldana, Luis; Willett, Duwayne L; Youngblood, Josh E.; Toomay, Seth

doi:10.1093/jamia/ocz123

Cited by 23 publications

(16 citation statements)

References 31 publications

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“…However, just as in our study, the authors also mentioned that the “why” of the user stories was not often clear and had to be continuously asked and expanded upon. In the process, a continuous review of the created user stories was crucial to ensure that the final product met their needs [ 34 ]. This is where the iterative DT model proved helpful in our study.…”

Section: Discussionmentioning

confidence: 99%

Needs Assessment for the Development of an Electronic Cross-Facility Health Record (ECHR) for Pediatric Palliative Care: A Design Thinking Approach

et al. 2021

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Background: Pediatric palliative care (PPC) is characterized by years of multisectoral and multi-professional care. Sharing information between PPC professionals is, therefore, essential for quality care. The evidence shows that electronic cross-facility health records (ECHRs) provide useful support in this context. To our knowledge, no ECHRs have been developed through a user-centered approach for this specific setting in Germany. Methods: Guided by design thinking, first, qualitative interviews were conducted to assess the needs of PPC professionals. Second, the elicited needs were specified in focus groups (FGs). Based on the needs stated in the interviews, prototypes of the ECHR were developed and discussed in the FGs. The indicated needs were supplemented and specified in an iterative process. The prototypes were further adapted according to these results. The unified theory of acceptance and use of technology was the basic model in the evaluation of needs. Results: Across seven main categories, past and current medication, emergency view, and messaging functions were identified as the participants’ desired core components of an ECHR. Utilizing design thinking facilitated the explicit articulation of user needs. Conclusions: Developing an ECHR with the content identified would allow for real-time data during emergencies, tracking what other PPC professionals have done, and making the applied treatments visible to others. This would offer a broader picture of the complex conditions common to PPC.

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Section: Discussionmentioning

confidence: 99%

Needs Assessment for the Development of an Electronic Cross-Facility Health Record (ECHR) for Pediatric Palliative Care: A Design Thinking Approach

et al. 2021

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“…Acceptability of CDSS is another key point. Kannan et al, [14] propose a method for a CDSS design to best meet a precisely specified and assessable user purpose. Design alerts may also avoid rejection of CDSSs by caregivers.…”

Section: Discussion and Outlookmentioning

confidence: 99%

Pragmatic Considerations on Clinical Decision Support from the 2019 Literature

Duclos

Bouaud

2020

Yearb Med Inform

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Objectives: To summarize significant research contributions published in 2019 in the field of computerized clinical decision support and select the best papers for the Decision Support section of the International Medical Informatics Association (IMIA) Yearbook. Methods: Two bibliographic databases were searched for papers referring to clinical decision support systems (CDSSs) and computerized provider order entry (CPOE) systems. From search results, section editors established a list of candidate best papers, which were then peer-reviewed by external reviewers. The IMIA Yearbook editorial committee finally selected the best papers on the basis of all reviews including the section editors’ evaluation. Results: A total of 1,378 articles were retrieved. Fifteen best paper candidates were selected, the reviews of which resulted in the selection of three best papers. One paper reports on a guideline modeling approach based on clinical decision trees, both clinically interpretable and suitable for implementation in CDSSs. In another paper, authors promote the use of extended Timed Transition Diagrams in CDSSs to formalize consistently recurrent medical processes for chronic diseases management. The third paper proposes a conceptual framework and a grid for assessing the performance of predictive tools based on the critical appraisal of published evidence. Conclusions: As showed by the number and the variety of works related to decision support, research in the field is very active. This year’s selection highlighted pragmatic works that promote transparency and trust required by decision support tools.

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“…First, we derived user requirements of the ZLM through user stories. A user story describes the features of a software system from the perspective of the user [4], for example: User KJ (who) wants a moving average graph for all fT3 test results from 2019-01-01 to 2019-12-31 (what) in order detect significant shifts in the measurements (goal). After that, we developed a mock-up to ensure to have captured all requirements.…”

Section: Methodsmentioning

confidence: 99%

Pro-Active Detection of Potentially Wrong Diagnoses Due to Substantial Changes of Laboratory Measurements

Baker

Calderara

Holm

et al. 2022

Studies in Health Technology and Informatics

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For guiding decisions on medical diagnoses and diagnoses, it is crucial to receive valid laboratory test results. However, such results can be implausible for the physician, even if the measurements are within the range of known reference values. There are technical sources of implausible results that are related to the laboratory environment, which are frequently not detected through usual measures for ensuring technical validity. Here, we describe the development of a quality assurance tool that tackles this problem and replaces the current manual statistical analyses at the Center for Laboratory Medicine in St Gallen (ZLM). Further analysis of the factors responsible for shifts in laboratory test results requires to collect and analyze data related to reagents as well as calibration or reference probes. Due to a lack of standard operating procedures in many laboratories with respect to these processes, this remains one of the big challenges.

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User stories as lightweight requirements for agile clinical decision support development

Cited by 23 publications

References 31 publications

Needs Assessment for the Development of an Electronic Cross-Facility Health Record (ECHR) for Pediatric Palliative Care: A Design Thinking Approach

Needs Assessment for the Development of an Electronic Cross-Facility Health Record (ECHR) for Pediatric Palliative Care: A Design Thinking Approach

Pragmatic Considerations on Clinical Decision Support from the 2019 Literature

Pro-Active Detection of Potentially Wrong Diagnoses Due to Substantial Changes of Laboratory Measurements

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