scholarly journals Engaging patients, clinicians, and the community in a Clinical Data Research Network: Lessons learned from the CAPriCORN CDRN

2019 ◽  
Vol 3 (2) ◽  
pp. e10079 ◽  
Author(s):  
Ellen Tambor ◽  
Madeleine Shalowitz ◽  
Joseph M. Harrington ◽  
Kevin Hull ◽  
Natalie Watson ◽  
...  
Keyword(s):  
Clinical Data ◽  
Lessons Learned ◽  
Research Network

scholarly journals ID: 3524289 IMPACT OF COVID-19 ON THE MANAGEMENT AND OUTCOMES OF SEVERE ACUTE CHOLANGITIS: FINDINGS FROM A NATIONWIDE CLINICAL DATA RESEARCH NETWORK

2021 ◽  
Vol 93 (6) ◽  
pp. AB9-AB10
Author(s):  
Hemant Goyal ◽  
Abhilash Perisetti ◽  
Mahesh Gajendran ◽  
Gregory Enders ◽  
Jiannis Anastasiou ◽  
...  
Keyword(s):  
Clinical Data ◽  
Acute Cholangitis ◽  
Research Network

Novel Data Interface for Evaluating Cardiovascular Outcomes in Women

2011 ◽  
pp. 2094-2113
Author(s):  
Amparo C. Villablanca ◽  
Hassan Baxi ◽  
Kent Anderson
Keyword(s):  
Clinical Data ◽  
Success Factors ◽  
Data Transfer ◽  
Cardiovascular Outcomes ◽  
Lessons Learned ◽  
High Risk Women ◽  
Critical Success ◽  
Visual Basic For Applications ◽  
Extensible Markup ◽  
User Friendly

This chapter discusses critical success factors in the design, implementation, and utility of a new construct and interface for data transfer with broad applicability to clinical data set management. In the context of a data coordinating center for evaluating cardiovascular outcomes in high-risk women, we detail and provide a framework for bridging the gap between extensible markup language (XML) and XML schema definition file (XSD) in order to provide greater accessibility using visual basic for applications (VBA) and Excel. Applications and lessons learned are discussed in light of current challenges to healthcare information technology management and clinical data administration. The authors hope that this approach, as well as the logic utilized and implementation examples, will provide a user-friendly model for data management and relational database design that is replicable, flexible, understandable, and has broad utility to research professionals in healthcare.

scholarly journals Adapting electronic health records-derived phenotypes to claims data: Lessons learned in using limited clinical data for phenotyping

2020 ◽  
Vol 102 ◽  
pp. 103363 ◽  
Author(s):  
Anna Ostropolets ◽  
Christian Reich ◽  
Patrick Ryan ◽  
Ning Shang ◽  
George Hripcsak ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Clinical Data ◽  
Claims Data ◽  
Lessons Learned ◽  
Health Records ◽  
Electronic Health

scholarly journals Establishing a multicentre clinical research network: lessons learned

2011 ◽  
Vol 18 (5) ◽  
Author(s):  
N. A. Hagen ◽  
C. R. Stiles ◽  
P. D. Biondo ◽  
G. G. Cummings ◽  
R. L. Fainsinger ◽  
...  
Keyword(s):  
Clinical Research ◽  
Lessons Learned ◽  
Research Network ◽  
Clinical Research Network

scholarly journals Regulatory considerations for prospective patient care registries: lessons learned from the National Neurosurgery Quality and Outcomes Database

2013 ◽  
Vol 34 (1) ◽  
pp. E5 ◽  
Author(s):  
Anthony L. Asher ◽  
Matthew J. McGirt ◽  
Steven D. Glassman ◽  
Rachel Groman ◽  
Dan K. Resnick ◽  
...  
Keyword(s):  
Health Care ◽  
Clinical Data ◽  
Human Subjects ◽  
Modern Medicine ◽  
Lessons Learned ◽  
Quality Data ◽  
Clinical Registries ◽  
Restricted Environment ◽  
Current Resource ◽  
Prospective Longitudinal

Clinical registries have emerged in the current resource-restricted environment of modern medicine as useful and logical mechanisms for providing health care stakeholders with high-quality data related to the safety, effectiveness, and value of specific interventions. Temporal and qualitative requirements for data acquisition in the context of clinical registries have rapidly expanded as clinicians and other stakeholders increasingly recognize the central importance of this information to the intelligent transformation of health care processes. Despite the potential of more robust clinical data collection efforts to advance the science of care, certain aspects of these newer systems, particularly the prospective, longitudinal acquisition of clinical data and direct patient contact, represent areas of structural overlap between emerging quality improvement efforts and traditional models of human subjects research. This overlap has profound implications for the design and implementation of modern clinical registries. In this paper, the authors describe the evolution of clinical registries as important tools for advancing the science of practice, and review the existing federal regulations that apply to these systems.

scholarly journals Representing Knowledge Consistently Across Health Systems

2017 ◽  
Vol 26 (01) ◽  
pp. 139-147 ◽  
Author(s):  
S. T. Rosenbloom ◽  
R. J. Carroll ◽  
J. L. Warner ◽  
M. E. Matheny ◽  
J. C. Denny
Keyword(s):  
Knowledge Representation ◽  
Clinical Data ◽  
Information Technologies ◽  
The United States ◽  
Data Models ◽  
Research Network ◽  
Patient Centered ◽  
Health Information Technologies ◽  
Health Level 7 ◽  
Support Of Research

Summary Objectives: Electronic health records (EHRs) have increasingly emerged as a powerful source of clinical data that can be leveraged for reuse in research and in modular health apps that integrate into diverse health information technologies. A key challenge to these use cases is representing the knowledge contained within data from different EHR systems in a uniform fashion. Method: We reviewed several recent studies covering the knowledge representation in the common data models for the Observational Medical Outcomes Partnership (OMOP) and its Observational Health Data Sciences and Informatics program, and the United States Patient Centered Outcomes Research Network (PCORNet). We also reviewed the Health Level 7 Fast Healthcare Interoperability Resource standard supporting app-like programs that can be used across multiple EHR and research systems. Results: There has been a recent growth in high-impact efforts to support quality-assured and standardized clinical data sharing across different institutions and EHR systems. We focused on three major efforts as part of a larger landscape moving towards shareable, transportable, and computable clinical data. Conclusion: The growth in approaches to developing common data models to support interoperable knowledge representation portends an increasing availability of high-quality clinical data in support of research. Building on these efforts will allow a future whereby significant portions of the populations in the world may be able to share their data for research.

scholarly journals Point-of-Care Testing as an Influenza Surveillance Tool: Methodology and Lessons Learned from Implementation

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Lisa H. Gren ◽  
Christina A. Porucznik ◽  
Elizabeth A. Joy ◽  
Joseph L. Lyon ◽  
Catherine J. Staes ◽  
...  
Keyword(s):  
Data Collection ◽  
Disease Surveillance ◽  
Point Of Care ◽  
Lessons Learned ◽  
Research Network ◽  
Influenza Surveillance ◽  
Statistical Process ◽  
University Of Utah ◽  
Department Of Health ◽  
The University

Objectives. Disease surveillance combines data collection and analysis with dissemination of findings to decision makers. The timeliness of these activities affects the ability to implement preventive measures. Influenza surveillance has traditionally been hampered by delays in both data collection and dissemination. Methods. We used statistical process control (SPC) to evaluate the daily percentage of outpatient visits with a positive point-of-care (POC) influenza test in the University of Utah Primary Care Research Network. Results. Retrospectively, POC testing generated an alert in each of 4 seasons (2004–2008, median 16 days before epidemic onset), suggesting that email notification of clinicians would be 9 days earlier than surveillance alerts posted to the Utah Department of Health website. In the 2008-09 season, the algorithm generated a real-time alert 19 days before epidemic onset. Clinicians in 4 intervention clinics received email notification of the alert within 4 days. Compared with clinicians in 6 control clinics, intervention clinicians were 40% more likely to perform rapid testing () and twice as likely to vaccinate for seasonal influenza () after notification. Conclusions. Email notification of SPC-generated alerts provided significantly earlier notification of the epidemic onset than traditional surveillance. Clinician preventive behavior was not significantly different in intervention clinics.

scholarly journals Mobilising knowledge on newcomers: Engaging key stakeholders to establish a research hub for Alberta

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Mary O'Brien ◽  
Beren Cancino ◽  
Francis Apasu ◽  
Tanvir Chowdhury
Keyword(s):  
Knowledge Exchange ◽  
Lessons Learned ◽  
Research Network ◽  
Step Process ◽  
Community Engaged Research ◽  
Stakeholder Groups ◽  
Temporary Foreign Workers ◽  
Key Stakeholders ◽  
University Of Calgary ◽  
The University

As immigration to Canada increases, so, too, do the complexities associated with serving various groups of newcomers, including immigrants, refugees, temporary foreign workers and international students. A range of stakeholder groups, such as grassroots community organisations, immigrant service provider organisations and academic researchers, have developed knowledge about how to best serve newcomers as they integrate into life in Canada. To date, there have been few opportunities for members of these and other stakeholder groups to work together to ensure that the needs of newcomers are being efficiently met. In this article, we describe a multi-step process of reciprocal knowledge engagement involving diverse stakeholders and led by the Newcomer Research Network at the University of Calgary. This engagement has the ultimate goal of developing a knowledge mobilisation hub focused on building capacity in community-engaged research with newcomers. In order to understand how we will reach this goal, this article outlines the efforts, priorities, challenges and important lessons learned that occurred as part of the multi-step process undertaken to establish a knowledge exchange with newcomer communities at its core.

Sign in / Sign up

Export Citation Format

Share Document