NEEDS STATEMENT

Baylor College of Medicine, as many institutions are, is making increasing investments in data science and data analytics, for analyzing healthcare, healthcare quality, and improvements as part of the overall learning health system. Interviews with faculty have demonstrated gaps in the ability to use data science in assessing current and quality improvement initiatives in patient care. These gaps also reflect the ability to predict risk for poor outcomes for patients with various conditions as well as well as assessing outcomes from a variety of initiatives.

Faculty and trainees have a gap in knowledge around which data sources to use, which tools are appropriate to use, which reporting systems should be used in particular conditions, and which evaluations to use for a variety of purposes spectrum of prediction of risk, assessment of risk, measurement for outcomes, and tools for implementing and collecting data to measure improvements. Faculty and trainees also do not know how to use and access analytic tools and reporting tools, how to access data sources, how to build reports, how to identify appropriate data sources, make use of institutional resources for these purposes, and how to evaluate outcomes, among other initiatives. Finally, faculty and trainees are unable to access and apply data and data analytic resources to clinical problems that they face every day in patient care.

This initiative is designed to change learner deficits in knowledge as described in the gaps, their ability to access data, and use data for clinical decision and quality improvement, and finally to improve their performance in locating appropriate data sources, to predict risk, uses data sources to assess and improve care, and to apply these tools in the clinic.

TARGET AUDIENCE

This activity is intended for all faculty and trainees at Baylor College of Medicine.

EDUCATIONAL OBJECTIVES

At the conclusion of this activity, the participants should be able to:

• Describe available data resources at Baylor College of Medicine.
• Promote greater use of data across Baylor College of Medicine.
• Apply appropriate and ethical use of data sources to address research questions and priority areas.

EDUCATIONAL METHODS

Lecture, Panel Discussion, Case Study

EVALUATION

Evaluation by questionnaire will address program content, presentation, and possible bias.

ACTIVITY DIRECTOR

Jessica Davila, MD

Professor, Baylor College of Medicine

ACTIVITY COORDINATOR

Juliet Barrera, BS 

Administrative Resident,  Baylor College of Medicine

For more information, please visit the following site: https://intouch.bcm.edu/sites/office-of-the-president/SitePageModern/153303/love-data-week