- Browse by Subject
Browsing by Subject "Biomedical informatics"
Now showing 1 - 4 of 4
Results Per Page
Sort Options
Item Perceptions and attitudes toward performing risk assessment for periodontal disease: a focus group exploration(BMC, 2018-05-21) Thyvalikakath, Thankam; Song, Mei; Schleyer, Titus; Cariology, Operative Dentistry and Dental Public Health, School of DentistryCurrently, many risk assessment tools are available for clinicians to assess a patient’s periodontal disease risk. Numerous studies demonstrate the potential of these tools to promote preventive management and reduce morbidity due to periodontal disease. Despite these promising results, solo and small group dental practices, where most people receive care, have not adopted risk assessment tools widely, primarily due to lack of studies in these settings. The objective of this study was to explore the knowledge, attitudes, and beliefs of dental providers in these settings toward risk-based care through focus groups.Item Research IT maturity models for academic health centers: Early development and initial evaluation(Cambridge University Press, 2018-10) Knosp, Boyd M.; Barnett, William K.; Anderson, Nicholas R.; Embi, Peter J.; Medicine, School of MedicineThis paper proposes the creation and application of maturity models to guide institutional strategic investment in research informatics and information technology (research IT) and to provide the ability to measure readiness for clinical and research infrastructure as well as sustainability of expertise. Conducting effective and efficient research in health science increasingly relies upon robust research IT systems and capabilities. Academic health centers are increasing investments in health IT systems to address operational pressures, including rapidly growing data, technological advances, and increasing security and regulatory challenges associated with data access requirements. Current approaches for planning and investment in research IT infrastructure vary across institutions and lack comparable guidance for evaluating investments, resulting in inconsistent approaches to research IT implementation across peer academic health centers as well as uncertainty in linking research IT investments to institutional goals. Maturity models address these issues through coupling the assessment of current organizational state with readiness for deployment of potential research IT investment, which can inform leadership strategy. Pilot work in maturity model development has ranged from using them as a catalyst for engaging medical school IT leaders in planning at a single institution to developing initial maturity indices that have been applied and refined across peer medical schools.Item Sustainability considerations for clinical and translational research informatics infrastructure(Cambridge University Press, 2018-10) Obeid, Jihad S.; Tarczy-Hornoch, Peter; Harris, Paul A.; Barnett, William K.; Anderson, Nicholas R.; Embi, Peter J.; Hogan, William R.; Bell, Douglas S.; McIntosh, Leslie D.; Knosp, Boyd; Tachinardi, Umberto; Cimino, James J.; Wehbe, Firas H.; Medicine, School of MedicineA robust biomedical informatics infrastructure is essential for academic health centers engaged in translational research. There are no templates for what such an infrastructure encompasses or how it is funded. An informatics workgroup within the Clinical and Translational Science Awards network conducted an analysis to identify the scope, governance, and funding of this infrastructure. After we identified the essential components of an informatics infrastructure, we surveyed informatics leaders at network institutions about the governance and sustainability of the different components. Results from 42 survey respondents showed significant variations in governance and sustainability; however, some trends also emerged. Core informatics components such as electronic data capture systems, electronic health records data repositories, and related tools had mixed models of funding including, fee-for-service, extramural grants, and institutional support. Several key components such as regulatory systems (e.g., electronic Institutional Review Board [IRB] systems, grants, and contracts), security systems, data warehouses, and clinical trials management systems were overwhelmingly supported as institutional infrastructure. The findings highlighted in this report are worth noting for academic health centers and funding agencies involved in planning current and future informatics infrastructure, which provides the foundation for a robust, data-driven clinical and translational research program.Item The IeDEA harmonist data toolkit: A data quality and data sharing solution for a global HIV research consortium(Elsevier, 2022) Lewis, Judith T.; Stephens, Jeremy; Musick, Beverly; Brown, Steven; Malateste, Karen; Ostinelli, Cam Ha Dao; Maxwell, Nicola; Jayathilake, Karu; Shi, Qiuhu; Brazier, Ellen; Kariminia, Azar; Hogan, Brenna; Duda, Stephany N.; Biostatistics and Health Data Science, School of MedicineWe describe the design, implementation, and impact of a data harmonization, data quality checking, and dynamic report generation application in an international observational HIV research network. The IeDEA Harmonist Data Toolkit is a web-based application written in the open source programming language R, employs the R/Shiny and RMarkdown packages, and leverages the REDCap data collection platform for data model definition and user authentication. The Toolkit performs data quality checks on uploaded datasets, checks for conformance with the network's common data model, displays the results both interactively and in downloadable reports, and stores approved datasets in secure cloud storage for retrieval by the requesting investigator. Including stakeholders and users in the design process was key to the successful adoption of the application. A survey of regional data managers as well as initial usage metrics indicate that the Toolkit saves time and results in improved data quality, with a 61% mean reduction in the number of error records in a dataset. The generalized application design allows the Toolkit to be easily adapted to other research networks.