Evaluating a federated medical search engine

Saparova, Dinara; Belden, Jeff; Williams, Joseph B; Richardson, Brianna; K, Schuster

doi:10.4338/aci-2014-03-ra-0021

Cited by 8 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Information retrieval [84,85] and information seeking behavior were also discussed in the context of visit note display [86] and ignoring of content [87]. The increasing use of smartphones to access personal health information routinely was described [88].…”

Section: Health Information Exchange (Hie)mentioning

confidence: 99%

Improving Bridging from Informatics Practice to Theory

Lehmann

Gundlapalli

2015

Methods Inf Med

View full text Add to dashboard Cite

SummaryBackground: In 1962, Methods of Information in Medicine ( MIM ) began to publish papers on the methodology and scientific fundamentals of organizing, representing, and analyzing data, information, and knowledge in biomedicine and health care. Considered a companion journal, Applied Clinical Informatics ( ACI ) was launched in 2009 with a mission to establish a platform that allows sharing of knowledge between clinical medicine and health IT specialists as well as to bridge gaps between visionary design and successful and pragmatic deployment of clinical information systems. Both journals are official journals of the International Medical Informatics Association. Objectives: As a follow-up to prior work, we set out to explore congruencies and interdependencies in publications of ACI and MIM. The objectives were to describe the major topics discussed in articles published in ACI in 2014 and to determine if there was evidence that theory in 2014 MIM publications was informed by practice described in ACI publications in any year. We also set out to describe lessons learned in the context of bridging informatics practice and theory and offer opinions on how ACI editorial policies could evolve to foster and improve such bridging. Methods:We conducted a retrospective observational study and reviewed all articles published in ACI during the calendar year 2014 (Volume 5) for their main theme, conclusions, and key words. We then reviewed the citations of all MIM papers from 2014 to determine if there were references to ACI articles from any year. Lessons learned in the context of bridging informatics practice and theory and opinions on ACI editorial policies were developed by consensus among the two authors. Results: A total of 70 articles were published in ACI in 2014. Clinical decision support, clinical documentation, usability, Meaningful Use, health information exchange, patient portals, and clinical research informatics emerged as major themes. Only one MIM article from 2014 cited an ACI article. There are several lessons learned including the possibility that there may not be direct links between MIM theory and ACI practice articles. ACI editorial policies will continue to evolve to reflect the breadth and depth of the practice of clinical informatics and articles received for publication. Efforts to encourage bridging of informatics practice and theory may be considered by the ACI editors. Conclusions: The lack of direct links from informatics theory-based papers published in MIM in 2014 to papers published in ACI continues as was described for papers published during 2012 to 2013 in the two companion journals. Thus, there is little evidence that theory in MIM has been informed by practice in ACI.

show abstract

Section: Health Information Exchange (Hie)mentioning

confidence: 99%

Improving Bridging from Informatics Practice to Theory

Lehmann

Gundlapalli

2015

Methods Inf Med

View full text Add to dashboard Cite

show abstract

“…For example, Saparova piloted a federated search system that factored in information needs of 51 clinicians. Clinicians found the search system easy and intuitive to use; however, a key piece of feedback was personalization features as the study concluded that successful adoption of a clinical information system depends on its human, technology, and organization fit [22].…”

Section: Introductionmentioning

confidence: 99%

Design and Evaluation of a Contextual Model for Information Retrieval From Web-Scale Discovery Services to Improve Evidence-Based Practice by Health Care Practitioners: Mixed Methods Study

Miranda¹,

Miah²

2019

J Med Internet Res

View full text Add to dashboard Cite

Background Practicing evidence-based health care is challenging because of overwhelming results presented to practitioners by Google-like Web-scale discovery (WSD) services that index millions of resources while retrieving information based on relevancy algorithms with limited consideration for user information need. Objective On the basis of the user-oriented theory of information need and following design science principles, this study aimed to develop and evaluate an innovative contextual model for information retrieval from WSD services to improve evidence-based practice (EBP) by health care practitioners. Methods We identified problems from literature to support real-world requirements for this study. We used design science research methodology to guide artefact design. We iteratively improved prototype of the context model using artificial formative evaluation. We performed naturalistic summative evaluation using convergent interviewing of health care practitioners and content analysis from a confirmatory focus group consisting of health researchers to evaluate the model’s validity and utility. Results The study iteratively designed and applied the context model to a WSD service to meet 5 identified requirements. All 5 health care practitioners interviewed found the artefact satisfied the 5 requirements to successfully evaluate the model as having validity and utility. Content analysis results from the confirmatory focus group mapped top 5 descriptors per requirement to support a true hypothesis that there is significant discussion among participants to justify concluding that the artefact had validity and utility. Conclusions The context model for WSD satisfied all requirements and was evaluated successfully for information retrieval to improve EBP. Outcomes from this study justify further research into the model.

show abstract

Designing an innovative unified contextual architecture for improving information retrieval service in healthcare organizations

Miranda¹,

Miah²

2021

Information Development

View full text Add to dashboard Cite

Designing effective methods of retrieving evidence-based clinical information for healthcare professionals’ decision making have always been challenging tasks for researchers in this field. Relevant existing studies have indicated significant limitations of implementing context-sensitive information retrieval services in healthcare organizations, but attempts are yet at their emergent stage for designing research-based solutions. In this paper, we design a new information retrieval architecture as a solution artifact useful in healthcare organizations for improving their information retrieval practices. Under the design science research paradigm, we outline a combined methodology that comprises design science research, design thinking and systems thinking for operating an iterative guiding process for developing and evaluating the new information retrieval approach. A total of 13 requirements that are linked to user-oriented theory of information need and fitness-utility model are captured. The new architecture is evaluated for its usefulness and fitness-utility using multi-case in-depth interviews that satisfy formalizing prescriptive knowledge on information retrieval.

show abstract

Evaluating a federated medical search engine

Cited by 8 publications

References 26 publications

Improving Bridging from Informatics Practice to Theory

Improving Bridging from Informatics Practice to Theory

Design and Evaluation of a Contextual Model for Information Retrieval From Web-Scale Discovery Services to Improve Evidence-Based Practice by Health Care Practitioners: Mixed Methods Study

Designing an innovative unified contextual architecture for improving information retrieval service in healthcare organizations

Contact Info

Product

Resources

About