Analytics Open Lab
The Data, Analytics, and Statistical Core (DASC) of the Center for Health Services Research (CHSR, http://chsr.med.uky.edu) hosts a monthly analytics open lab. The CHSR encourages interested faculty, and staff from UKHC and the 6 health profession colleges to join analysts and statisticians on the third Friday of each month from 10:00-11:00am in the Kentucky Clinic room J524. In this open forum, attendees talk about their data and analysis needs in research and quality improvement with experts and colleagues from around the enterprise. Topics vary from month to month based on the needs of those attending and can include anything from data sources, software tools such as Tableau, analytic methods, and support resources available.
Occurring for more than a year, DASC hosts the Analytics Collaboration meeting to foster communication among data experts from the Center for Clinical and Translational Sciences, UKHC Finance, Markey Cancer Center, Quality Reporting, Radiology, UKHC IT, Institute for Biomedical Informatics, KMSF, and Pathology. At these meetings, staff and faculty share their experiences with analytic and data mining tools, data sources both internal and external to UKHC, infrastructure developments, techniques and methods for analysis. Importantly, this represents a great opportunity to network and collaborate on projects and initiatives. Based on the success of the meeting series, CHSR DASC now is hosting this monthly open lab so that end-users of data support services can meet and talk face-to-face with the data analytic experts.
Third Friday of every month – 10:00am-11:00am – Kentucky Clinic J524
- Open lab, bring laptops to work, discuss, learn, share and explore together.
- Analysts and data end-users invited
- Email firstname.lastname@example.org for more information
The CHSR DASC team provides analytical support to stakeholders across UK to meet their health services research and quality improvement data needs. This support includes data collection and management, extraction of data from clinical data management systems, survey development, program evaluation, study design, methodology, dashboard design, server support for datasets, and statistical analysis such as descriptive statistics describing the population of interest and/or a multivariate analysis.