Sessions include: Look at you doing “Leader-y” stuff!, HIM Data Analysis and Reporting, Texas State- HIM Update, and Presentation by Dr. Danette Myers

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

This session offers viewers an opportunity to learn ways of analyzing healthcare data using MS Excel and Tableau. These tools support efficient and effective methods for summarizing and visualizing trends in data. They support clear communication regarding key findings that can lead to effective decision-making and strategizing for healthcare professionals and organizations.

This session will demonstrate methods of analyzing healthcare data using MS Excel and Tableau Public. Tasks for preparing, summarizing, visualizing, and interpreting the data will be explained. At the end of the session, you will have created a meaningful dashboard to support knowledge discovery of healthcare data.

Included: 1) COVID-19 Lessons Learned 2) Bridging the Gap Between Coding, CDI and Quality 3) Three P's to Effective Pandemic Response for HIM Leaders 4) Patient Self Scheduling – Major Catalyst for MPI Errors

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.

Join us for our Webinar Wednesdays!

Sessions Include:
1) Coding & Clinical Concepts in the Antimicrobial Resistance,
2) Fourth Universal Definition of Myocardial Infarction and Its Implications for Coding,
3) Exploring the Role of Information Governance in Pandemic Response,
4) Dashboarding for Insight and Impact,
5) 21st Century CURES Act, and
6) APCDI & Social Determinants of Health: Collaboration Improving Patient Outcomes

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.

Sessions include: 1) The Secret to Making Data Accuracy Fun; 2) Sequencing in Coding: Which comes first?; 3) Telehealth and Telework are Here to Stay – How to harden your security defenses in a post-COVID world and 4) Training the New Generation of Leaders

Attendees will examine various components to AHIMA's 2020 white paper on a realistic approach to achieving a low duplicate record error rate. The presentation will highlight areas for exploration to identify and recognize variability in databases, duplicate error and creation rate calculations, workforce factors and types of patient matching algorithms which all play an important role in achieving a low duplicate record error rate. Discussion will be held on how the organizational goal checklist can be tailored to fit an organization's particular need.