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

Author(s):  
Fred Willie Zametkin LaPolla ◽  
Denis Rubin

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.

2017 ◽  
Vol 08 (03) ◽  
pp. 754-762
Author(s):  
Karen Sharp ◽  
Michele Williams ◽  
Adrienne Bogacz ◽  
Sighle Denier ◽  
Ann McAlearney ◽  
...  

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


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

Author(s):  
Kevin B. Read

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.


2021 ◽  
Author(s):  
Jeffrey K. Belkora ◽  
Tia Weinberg ◽  
Jasper Murphy ◽  
Sneha Karthikeyan ◽  
Henrietta Tran ◽  
...  

Abstract This report arises from the intersection of service learning and population health at an academic medical center. At UCSF, the Office of Population Health and Accountable Care (OPHAC) employs health care navigators to help patients access and benefit from high-value care. In early 2020, facing COVID-19, UCSF leaders asked OPHAC to help patients and employees navigate testing, treatment, tracing, and returning to work protocols. OPHAC established a COVID hotline to route callers to the appropriate resources, but needed to increase the capacity of the navigator workforce. To address this need, OPHAC turned to UCSF’s service learning program for undergraduates, the Patient Support Corps (PSC). In this program, UC Berkeley undergraduates earn academic credit in exchange for serving as unpaid patient navigators. In July 2020, OPHAC provided administrative funding for the PSC to recruit and deploy students as COVID hotline navigators. In September 2020, the PSC deployed 20 students collectively representing 2.0 full-time equivalent navigators. After training and observation, and with supervision and escalation pathways, students were able to fill half-day shifts and perform near the level of staff navigators. Key facilitators relevant to success reflected both PSC and OPHAC strengths. The PSC onboards student interns as institutional affiliates, giving them access to key information technology systems, and trains them in privacy and other regulatory requirements so they can work directly with patients. OPHAC strengths included a learning health systems culture that fosters peer mentoring and collaboration. A key challenge was that, even after training, students required around 10 hours of supervised practice before being able to take calls independently. As a result, students rolled on to the hotline in waves rather than all at once. Post-COVID, OPHAC is planning to use student navigators for outreach. Meanwhile, the PSC is collaborating with pipeline programs in hopes of offering this internship experience to more students from backgrounds that are under-represented in healthcare. Other campuses in the University of California system are interested in replicating this program. Adopters see the opportunity to increase capacity and diversity while developing the next generation of health and allied health professionals. 1 Introduction: Description of the nature of the problem being addressed and rationale for the proposed innovation This case study reports on a collaboration that represents the intersection of two major trends: service learning in education (1–4) and population health in health care (5, 6). Service learning programs involve students in experiential learning outside of classroom settings. Population health programs target an entire population or panel of patients and attempt to address their health and wellness in an integrated and holistic fashion. The past decade has seen a steady increase in the proportion of patients cared for under accountable care or other risk sharing programs. Such programs create alignment for all parties for the provision of high quality and affordable health care, and create opportunity for health systems to innovate with new models of care delivery. In early 2020, population health programs faced an influx of demand from patients who were potentially exposed to coronavirus infection and who needed help with testing, treatment, and tracing services related to COVID-19 (7). Population health programs needed to expand their capacity to address this demand. At the same time, health care delivery systems were dealing with a reduction in revenue, and many had instituted hiring freezes. Meanwhile, undergraduate institutions have launched service learning programs to ensure that students are exposed to high impact practices such as internships (8–11). Students benefit from internships and other experiential learning opportunities because they allow students to apply knowledge, gain skills, interact with role models and mentors, and work on interprofessional teams (2, 12–14). Internships also present challenges, as well as opportunities, in terms of equity and access (15). In principle, service learning programs can extend the workforce capacity of population health programs, including during a surge in demand due to a pandemic. This case study describes one such innovative collaboration at an academic medical center where students helped increase the capacity of a COVID hotline.


Author(s):  
Jim Ryan ◽  
Barbara Doster ◽  
Sandra Daily ◽  
Carmen Lewis

Based on a 143-month longitudinal study of an academic medical center, this paper examines operations management practices of continuous improvement, workflow balancing, benchmarking, and process reengineering within a hospital's perioperative operations. Specifically, this paper highlights data-driven efforts within perioperative sub-processes to balance overall patient workflow by eliminating bottlenecks, delays, and inefficiencies. This paper illustrates how dynamic technological activities of analysis, evaluation, and synthesis applied to internal and external organizational data can highlight complex relationships within integrated processes to identify process limitations and potential process capabilities, ultimately yielding balanced patient workflow through data-driven perioperative process improvement. Study implications and/or limitations are also included.


Author(s):  
Charles H Andrus ◽  
Mark Gaynor

Electronic Medical Records (EMR) in academic medical centers often have additional complexity to them due to structural and organizational differences. Often the hospital operates independent of the medical school such as the physicians often work for the medical school, while the nurses and other ancillary departments work for the hospital. Such differences require special consideration when making changes to an EMR. The case study concerns an academic medical center where there are two ways to access the EMR. One methodology is to use a clinical computer on clinical floors within the hospital. A second methodology is the use of Citrix servers to access the EMR. Due to organizational differences, the EMR users access the system via two separate sets of Citrix servers. The hospital’s support staff controls one set of Citrix servers and the academic support staff controls the other set. Physicians and mid-level providers utilize the academic Citrix servers, but nursing and other ancillary departments use the hospital’s Citrix servers. With the servers controlled by separate teams, careful coordination is needed to ensure uniformity across the servers for a consistent user experience.


Author(s):  
Jim Ryan ◽  
Barbara Doster ◽  
Sandra Daily ◽  
Carmen Lewis

Based on a 143-month longitudinal study of an academic medical center, this paper examines operations management practices of continuous improvement, workflow balancing, benchmarking, and process reengineering within a hospital's perioperative operations. Specifically, this paper highlights data-driven efforts within perioperative sub-processes to balance overall patient workflow by eliminating bottlenecks, delays, and inefficiencies. This paper illustrates how dynamic technological activities of analysis, evaluation, and synthesis applied to internal and external organizational data can highlight complex relationships within integrated processes to identify process limitations and potential process capabilities, ultimately yielding balanced patient workflow through data-driven perioperative process improvement. Study implications and/or limitations are also included.


Sign in / Sign up

Export Citation Format

Share Document