scholarly journals Adapting data management education to support clinical research projects in an academic medical center

2019 ◽  
Vol 107 (1) ◽  
Author(s):  
Kevin B. Read
Keyword(s):  
Best Practices ◽  
Clinical Research ◽  
Data Management ◽  
Data Transfer ◽  
Medical Center ◽  
Academic Medical Center ◽  
Research Process ◽  
Academic Medical ◽  
Collaborative Training

Background: Librarians and researchers alike have long identified research data management (RDM) training as a need in biomedical research. Despite the wealth of libraries offering RDM education to their communities, clinical research is an area that has not been targeted. Clinical RDM (CRDM) is seen by its community as an essential part of the research process where established guidelines exist, yet educational initiatives in this area are unknown.Case Presentation: Leveraging the author’s academic library’s experience supporting CRDM through informationist grants and REDCap training in our medical center, we developed a 1.5 hour CRDM workshop. This workshop was designed to use established CRDM guidelines in clinical research and address common questions asked by our community through the library’s existing data support program. The workshop was offered to the entire medical center 4 times between November 2017 and July 2018. This case study describes the development, implementation, and evaluation of this workshop.Conclusions: The 4 workshops were well attended and well received by the medical center community, with 99% stating that they would recommend the class to others and 98% stating that they would use what they learned in their work. Attendees also articulated how they would implement the main competencies they learned from the workshop into their work. For the library, the effort to support CRDM has led to the coordination of a larger institutional collaborative training series to educate researchers on best practices with data, as well as the formation of institution-wide policy groups to address researcher challenges with CRDM, data transfer, and data sharing.

scholarly journals Promoting Data Reuse and Collaboration at an Academic Medical Center

2015 ◽  
Vol 10 (1) ◽  
pp. 260-267 ◽  
Author(s):  
Kevin Read ◽  
Jessica Athens ◽  
Ian Lamb ◽  
Joey Nicholson ◽  
Sushan Chin ◽  
...  
Keyword(s):  
Data Management ◽  
Population Health ◽  
Data Sharing ◽  
Present State ◽  
Medical Center ◽  
Academic Medical Center ◽  
Data Reuse ◽  
Data Description ◽  
University Library ◽  
Academic Medical

A need was identified by the Department of Population Health (DPH) for an academic medical center to facilitate research using large, externally funded datasets. Barriers identified included difficulty in accessing and working with the datasets, and a lack of knowledge about institutional licenses. A need to facilitate sharing and reuse of datasets generated by researchers at the institution (internal datasets) was also recognized. The library partnered with a researcher in the DPH to create a catalog of external datasets, which provided detailed metadata and access instructions. The catalog listed researchers at the medical center and the main campus with expertise in using these external datasets in order to facilitate research and cross-campus collaboration. Data description standards were reviewed to create a set of metadata to facilitate access to both externally generated datasets, as well as the internally generated datasets that would constitute the next phase of development of the catalog. Interviews with a range of investigators at the institution identified DPH researchers as most interested in data sharing, therefore targeted outreach to this group was undertaken. Initial outreach resulted in additional external datasets being described, new local experts volunteering, proposals for additional functionality, and interest from researchers in inclusion of their internal datasets in the catalog. Despite limited outreach, the catalog has had ~250 unique page views in the three months since it went live. The establishment of the catalog also led to partnerships with the medical center’s data management core and the main university library. The Data Catalog in its present state serves a direct user need from the Department of Population Health to describe large, externally funded datasets. The library will use this initial strong community of users to expand the catalog and include internally generated research datasets. Future expansion plans will include working with DataCore and the main university library.

scholarly journals Conversion of Provider EMR Training from Instructor-Led Training to eLearning at an Academic Medical Center

2017 ◽  
Vol 08 (03) ◽  
pp. 754-762
Author(s):  
Karen Sharp ◽  
Michele Williams ◽  
Adrienne Bogacz ◽  
Sighle Denier ◽  
Ann McAlearney ◽  
...  
Keyword(s):  
Medical Record ◽  
Medical Center ◽  
Academic Medical Center ◽  
End User ◽  
Provider Training ◽  
Step Process ◽  
Training Tool ◽  
Academic Medical ◽  
Training Approach

SummaryThis case study overviews the conversion of provider training of the electronic medical record (EMR) from an instructor-led training (ILT) program to eLearning at an Academic Medical Center (AMC). This conversion provided us with both a useful training tool and the opportunity to maximize efficiency within both our training and optimization team and organization. eLearning Development Principles were created and served as a guide to assist us with designing an eLearning curriculum using a five step process. The result was a new training approach that allowed learners to complete training at their own pace, and even test out of sections based on demonstrated competency. The information we have leads us to believe that a substantial return on our investment can be obtained from the conversion with positive impacts that have served as the foundation for the future of end user EMR training at our AMC.Citation: Sharp K, Williams M, Aldrich A, Bogacz A, Denier S, McAlearney AS. Conversion of Provider EMR Training from Instructor Led Training to eLearning at an Academic Medical Center. Appl Clin Inform 2017; 8: 754–762 https://doi.org/10.4338/ACI-2017-03-CR-0040

scholarly journals The “Data Visualization Clinic”: a library-led critique workshop for data visualization

2018 ◽  
Vol 106 (4) ◽  
Author(s):  
Fred Willie Zametkin LaPolla ◽  
Denis Rubin
Keyword(s):  
Data Visualization ◽  
Medical Center ◽  
Academic Medical Center ◽  
Service Area ◽  
Constructive Feedback ◽  
Strong Interest ◽  
Academic Medical ◽  
Library Users ◽  
Library Programming

Background: The authors’ main university library and affiliated academic medical center library sought to increase library programming around data visualization, a new service area for both libraries. Additionally, our institution is home to many researchers with a strong interest in data visualization but who are generally working in isolation of one another.Case Presentation: This case study describes an innovative workshop, the “Data Visualization Clinic,” where members of our library’s community bring in data visualization projects such as figures in papers, projects hosted online, and handouts and receive constructive feedback from a group of peers. The authors detail the process of hosting a clinic and the feedback that we received from participants.Conclusions: The “Data Visualization Clinic” offers a viable workshop to leverage expertise of library users and build the library’s reputation as a hub of data visualization services without heavy investment in infrastructure like special monitors or coding skills. That said, it faces the challenge of relying on the participation of the broader community, which is often pressed for time. The event can also serve as an opportunity for researchers who have an interest in data visualization to meet and network.

Advancing LGBT Health at an Academic Medical Center: A Case Study

LGBT Health ◽  
2015 ◽  
Vol 2 (4) ◽  
pp. 362-366 ◽  
Author(s):  
Baligh R. Yehia ◽  
Daniel Calder ◽  
Judd D. Flesch ◽  
Rebecca L. Hirsh ◽  
Eve Higginbotham ◽  
...  
Keyword(s):  
Medical Center ◽  
Academic Medical Center ◽  
Lgbt Health ◽  
Academic Medical

An organizational model for developing multidisciplinary clinical research in the academic medical center

1993 ◽  
Vol 36 (6) ◽  
pp. 741-749 ◽  
Author(s):  
Mary E. Charlson ◽  
John P. Allegrante ◽  
James P. Hollenberg ◽  
Ted P. Szatrowski ◽  
Margaret G. E. Peterson ◽  
...  
Keyword(s):  
Clinical Research ◽  
Medical Center ◽  
Academic Medical Center ◽  
Organizational Model ◽  
Academic Medical

scholarly journals Factors Associated with Clinical Research Recruitment in a Pediatric Academic Medical Center—A Web-Based Survey

PLoS ONE ◽  
2015 ◽  
Vol 10 (10) ◽  
pp. e0140768 ◽  
Author(s):  
Erica Rose Denhoff ◽  
Carly E. Milliren ◽  
Sarah D. de Ferranti ◽  
Sarah K. Steltz ◽  
Stavroula K. Osganian
Keyword(s):  
Clinical Research ◽  
Medical Center ◽  
Academic Medical Center ◽  
Web Based ◽  
Research Recruitment ◽  
Factors Associated ◽  
Academic Medical

scholarly journals Impact of implementing a competency-based job framework for clinical research professionals on employee turnover

2020 ◽  
Vol 4 (4) ◽  
pp. 331-335
Author(s):  
Marissa Stroo ◽  
Kirubel Asfaw ◽  
Christine Deeter ◽  
Stephanie A. Freel ◽  
Rebecca J. N. Brouwer ◽  
...  
Keyword(s):  
Clinical Research ◽  
Employee Turnover ◽  
Large Scale ◽  
Turnover Rate ◽  
Medical Center ◽  
Academic Medical Center ◽  
Medical Setting ◽  
Academic Medical ◽  
Competency Based ◽  
Research Professionals

AbstractIntroduction:A new competency-based job framework was implemented for clinical research professionals at a large, clinical research-intensive academic medical center. This study evaluates the rates of turnover before and after implementation of the new framework. Turnover in this workforce (as with most) is costly; it contributes to wasted dollars and lost productivity since these are highly specialized positions requiring extensive training, regardless of experience in the field.Methods:Trends in employee turnover for 3 years prior to and after the implementation of competency-based job framework for clinical research positions were studied using human resources data. Employee demographics, turnover rates, and comparisons to national statistics are summarized.Results:Employee turnover within the clinical research professional jobs has decreased from 23% to 16%, a 45% reduction, since the implementation of competency-based job framework.Conclusion:The new jobs and career ladders, both of which are centered on a competency-based framework, have decreased the overall turnover rate in this employee population. Since little is known about the rates of turnover in clinical research, especially in the academic medical setting, the results of this analysis can provide important insights to other academic medical centers on both employee turnover rate in general and the potential impact of implementing large-scale competency-based job changes.

Sign in / Sign up

Export Citation Format

Share Document