Collaborating for Efficiency

Patient Matching

Dr. Matt Brown, Associate Professor of Business Data Analytics at Arkansas Tech University, discusses the use of data analytics in healthcare.

We have the talent, skills and knowledge to produce the information needed to improve business processes in health care.

Collecting meaningful data in electronic health record (EHR) systems is crucial to treating the whole person. Join us for a discussion on data elements being collected in our registration and EHR systems to identify and manage data related to sexual orientation and gender identity (SOGI).

The ability to manage and interpret accurate data is essential for healthcare organizations. Making sense of data is a common challenge faced in health information. Summarized reports are usually produced but they may not be easy to read and/or understand. This webinar introduces how health information professionals can utilize Microsoft Excel Pivot Table functions to convert data into meaningful tables that effectively display the information needed.

Thinking about "Our Patients", their Characteristics, Disparities and Interventions

How do you ensure compliance with external regulatory requirements and internal policies? A standardized closed record review process may be the answer for small facilities and large multi-state health systems. Learn how to use this data to identify opportunities for improvement and affect change.

A three-part webinar series will offer members an opportunity to learn how to analyze healthcare data using MS Excel and the open-source data analytics software platform, R.

Offer the webinar participants hands-on experience analyzing healthcare data with readily available software.

A three-part webinar series that offers members an opportunity to learn how to analyze healthcare data using MS Excel, RStudio, an open-source data analytics software platform, and Tableau for data visualization.

A three-part webinar series will offer members an opportunity to learn how to analyze healthcare data using MS Excel, RStudio, anopen-source data analytics software platform and Tableau for data visualization.

This workshop will offer a hands-on experience analyzing healthcare data. Attendees will use MS Excel, the R statistical software package, and Tableau to prepare, describe, and visualize large healthcare datasets.

Understand the importance of identifying data patterns from the HIM professionals’ perspectives.

A healthcare professional shares direct experience with providing direction for how to transitions to a data – driven healthcare organization.

The emergence of the deadly COVID-19 virus, resulting in the current world-wide pandemic requires effective information management and accurate data reporting to enable the healthcare community’s efforts to learn as much as possible about this specific strain of coronavirus and halt the pandemic.

• Introduction to Data Analytics
• Describing Data
• Hypothesis Testing

This presentation will discuss data collection for population-based disease registries in Idaho: cancer; and time sensitive emergencies (trauma, stroke and ST-segment elevation myocardial infarction or STEMI). We will also discuss how these data are used in Idaho and nationally to inform public health efforts.

Listen to a journey of how one pediatric facility addressed the challenge of supporting their patients who identify as lesbian, gay, bisexual, transgender or gender non-conforming. Speaker will share the catalyst for the formation of the Gender Diversity Force, the guiding principles of the task force, selection of task force members, and lessons learned.

The intent of this session is to provide an overview on the current state of Patient Matching from a national perspective. Attendees will gain understanding of the importance of accurate patient matching, the current national efforts and potential challenges regarding implementation of a UPI and how to utilize core strategies to minimize master patient index (MPI) errors.