Findings from the Clinical Information Systems Perspective

Ganslandt, Thomas; Hackl, Werner O.

doi:10.15265/iy-2015-037

Cited by 4 publications

(6 citation statements)

References 18 publications

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“…A small cohort of pilot users provided critical feedback including the most useful contact numbers, broken links, and appropriate groupings of contact information. In these early feedback sessions, as well as in previous research [ 8 , 9 ], it was clear that speed and simplicity were of paramount importance. These users also provided iterative feedback on mock-ups and prototypes, leading to interface improvements to optimize usability and satisfy real-world settings [ 7 ].…”

Section: Methodssupporting

confidence: 54%

A Novel Information Retrieval Tool to Find Hospital Care Team Members: Development and Usability Study

Morawski¹,

Monsen²,

Takhar

et al. 2018

JMIR Hum Factors

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BackgroundHospital communication among members of a patient’s care team is a central part of clinical workflow and consumes a large amount of a health care provider’s time. Oftentimes the complexity of hospital care leads to difficulty in finding the appropriate contact, which can lead to inefficiencies and frustration. Squire is a Web-based information retrieval app created to improve the speed and efficiency in reaching the appropriate team member during the care of a hospitalized patient.ObjectiveThe objective of the study was to design and develop Squire and to evaluate the usage, usability, and perceived effect of the app on finding the correct contact within a hospital.MethodsWe used a mixed-methods design using a before-after survey methodology combined with one-on-one interviews to understand the perceived effect of Squire. The study took place at an academic medical center with internal medicine resident physicians. We surveyed residents on demographics, as well as time and efficiency of hospital communication before and after the use of Squire. After using Squire, participants were also asked to evaluate Squire’s Net Promoter Score (NPS). A subset of voluntary participants participated in one-on-one interviews and completed the System Usability Scale (SUS). We performed descriptive statistics on participant characteristics, app usage data, and responses to surveys. Survey results were compared before and after Squire adoption using the Wilcoxon rank-sum test and a general linear model. Interview data were analyzed using content analysis with a qualitative description approach to review and categorize feedback from participants.ResultsThere was a 67.9% (74/109) response rate to the pre-Squire survey and 89.9% (98/109) response rate to the post-Squire survey. At baseline, there was an average of 22.2 (95% CI 18.4-26.0) minutes/day spent searching for the right contact, and this decreased to 16.3 (95% CI 13.9-18.7) minutes/day after Squire was launched (P=.01). There were favorable usability scores, with an average SUS of 84.7, and a marginal NPS of +6.1. Overall, the use of Squire included 22,283 page views, most commonly to contact the admissions office or portable chest x-ray technician. Interviews highlighted common benefits of Squire, including decreased perceived time spent on hold with operators and improvement in connecting with the appropriate contact in specialized, complex departments. Future opportunities were also identified to improve Squire including adding a two-way communication between physician and nursing staff and providing offline access.ConclusionsSquire decreased the perceived time required to find an appropriate contact and had a favorable usability score; however, the NPS was marginal and several opportunities were identified to improve Squire for future use.

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Section: Methodssupporting

confidence: 54%

A Novel Information Retrieval Tool to Find Hospital Care Team Members: Development and Usability Study

Morawski¹,

Monsen²,

Takhar

et al. 2018

JMIR Hum Factors

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“…Appendix: Content Summaries of Selected Best Papers for the IMIA Yearbook 2023 Section "Clinical Information Systems" 1 Bialke M, Geidel L, Hampf C, Blumentritt A, Penndorf P, Schuldt R, Moser FM, Lang S, Werner P, Stäubert S, Hund H, Albashiti F, Gührer J, Prokosch HU, Bahls T, Hoffmann W A FHIR has been lit on gICS: facilitating the standardised exchange of informed consent in a large network of university medicine BMC Med Inform Decis Mak 2022 Dec 19;22(1):335. doi: 10.1186/s12911-022-02081-4…”

Section: Discussionmentioning

confidence: 99%

“…To extract meaningful and interpretable disease topics, a linear decoder is used to 1 We are convinced that artificial intelligence in the clinical setting will become more and more important and helpful. So, this year we asked an artificial intelligence to create the content summaries for our best papers.…”

Section: Methodsmentioning

confidence: 99%

Transforming Clinical Information Systems: Empowering Healthcare through Telemedicine, Data Science, and Artificial Intelligence Applications

Hackl,

Neururer,

Pfeifer

2023

Yearb Med Inform

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Objective: In this synopsis, the editors of the Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics overview recent research and propose a selection of best papers published in 2022 in the CIS field. Methods: The editors follow a systematic approach to gather relevant articles and select the best papers for the section. This year, they updated the query to incorporate the topic of telemedicine and removed search terms related to geographic information systems. The revised query resulted in a larger number of identified papers, necessitating the appointment of a third section editor to handle the increased workload. The editors narrowed the initial pool of articles to 15 candidate papers through a multi-stage selection process. At least seven independent reviews were collected for each candidate paper, and a selection meeting with the IMIA Yearbook editorial board led to the final selection of the best papers for the CIS section. Results: The query was carried out in mid-January 2023 and retrieved a deduplicated result set of 5,206 articles from 1,500 journals. This year, 15 papers were nominated as candidates, and four were finally selected as the best papers in the CIS section.Including telemedicine in the query resulted in a substantial increase in the number of papers found. The analysis highlights the growing convergence between clinical information systems and telemedicine, with mobile health (mHealth) technologies and data science applications gaining prominence. The selected candidate papers emphasize the practical impact of research efforts, focusing on patient-centric outcomes and benefits, including intelligent mobile health monitoring systems and AI-assisted decision-making in healthcare. Conclusions: Looking ahead, the field of CIS is expected to continue evolving, driven by advances in telemedicine, mHealth technologies, data science, and AI integration, leading to more efficient, patient-oriented, and intelligent healthcare systems and overall improvement of global healthcare outcomes.

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“…As depicted above, the principal purpose of any clinical routine data reuse solution should be the generation of new knowledge from existing clinical routine data. A large variety of publications reporting successful discoveries of new knowledge can be found [40] and there continued hype and expectations exist regarding secondary use and big data in healthcare [41]. This implies that a large amount of clinical routine data resources exists and is being used for diverse purposes.…”

Section: Spirit In Relation To Other Approachesmentioning

confidence: 99%

SPIRIT: Systematic Planning of Intelligent Reuse of Integrated Clinical Routine Data

Hackl¹,

Ammenwerth²

2016

Methods Inf Med

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The SPIRIT framework is intended to be used to systematically plan the intelligent reuse of clinical routine data for multiple purposes, which often was not intended when the primary clinical documentation systems were implemented. SPIRIT helps to overcome this gap. It can be applied in healthcare institutions of any size or specialization and allows a stepwise setup and evolution of holistic clinical routine data reuse solutions.

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Findings from the Clinical Information Systems Perspective

Cited by 4 publications

References 18 publications

A Novel Information Retrieval Tool to Find Hospital Care Team Members: Development and Usability Study

A Novel Information Retrieval Tool to Find Hospital Care Team Members: Development and Usability Study

Transforming Clinical Information Systems: Empowering Healthcare through Telemedicine, Data Science, and Artificial Intelligence Applications

SPIRIT: Systematic Planning of Intelligent Reuse of Integrated Clinical Routine Data

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