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Displaying records 11 through 20 of 60 found.

Big Data and Data Science: What Do We Need to Know?. Year Developed: 2017. Source: National Institutes of Health Library. Presenter(s): Lisa Federer. Type: Webinar. Level: Intermediate. Length: 60 minutes.

Annotation: This webinar defines big data and discusses techniques used to analyze data, find meaning in data, and common techniques and tools used in research areas.

Learning Objectives: • List four characteristics of big data. • Define data science. • Understand future implications of big data and data science.

Continuing Education: Medical Library Association CE credit

Staying Ahead of the Curve: Modeling and Public Health Decision-Making. Year Developed: 2016. Source: Centers for Disease Control-Public Health Grand Rounds. Presenter(s): Richard Hatchett, MD; Daniel Jernigan, MD; Martin Meltzer, PhD; Lauren Ancel Meyers, PhD . Type: Video. Level: Intermediate. Length: 60 minutes.

Annotation: Where are infections spreading? How many people will be affected? What are some different ways to stop the spread of an epidemic? In a process known as modeling, scientists analyze data using complex mathematical methods to provide answers to these and other questions during an emergency response. Models provide the foresight that can help decision makers better prepare for the future.

Learning Objectives:

Overcoming the Challenges of Data Analytics in Government: Embrace Data Analytics. Year Developed: 2016. Source: GovLoop. Presenter(s): Jack London. Type: Video. Level: Intermediate. Length: 30 minutes.

Annotation: This course is for anyone who wants to innovate the way their agencies gather and analyze data. It focuses on technology as well as organizational innovation to help your agency harness big data. The course lays out a roadmap to navigating data analytics and management and outlines the various opportunities of data analytics as well as the challenges of getting started. It also highlights how to select technology solutions and build your analytics expertise. The course comprises an overview, 6 lessons, a knowledge check, and a post-course survey.

Learning Objectives:

Continuing Education: GovLoop is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors.

Data-Driven Leadership: Lead with Data-Driven Decisions and Predictive Analytics. Year Developed: 2016. Source: GovLoop. Presenter(s): Alan S. Berson. Type: Video. Level: Advanced. Length: 20 minutes.

Annotation: Leading with the cold hard facts can be a reassuring method to know you’re making the best decisions for your organization. But this can be challenging at times when you have to discern between “good” data and “bad” data. Harnessing methods for data analysis is easier said than done, but it can make all the difference in leading your organization. This course is led by Dr. Henry Thibodeaux, Assessment and Evaluations Leader in the Office of Personnel Management, and Allen Schweyer, Executive Director of Talent Management and Leadership University. The course comprises an overview and introduction, 5 lessons, and a post-course survey.

Learning Objectives: • Discern the difference between correlation and causation. • Understand the importance of framing data analysis with precise questions and objectives. • Learn to distinguish “good” data from “bad” data. • Gain familiarity with several common data analysis techniques and where they should be used.

Continuing Education: GovLoop is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors.

Data Analytics Fundamentals: Learn to Use Your Data. Year Developed: 2016. Source: GovLoop. Presenter(s): n.a.. Type: Video. Level: Introductory. Length: 30 minutes.

Annotation: Data is powerful. We can use it to shape policies; craft citizen services; and even secure government. But it takes more than data alone to drive better decision-making and ultimately better outcomes. We also need the right tools to combine that data and search for patterns, anomalies and trends that otherwise would go undetected. The course explores how to turn your data into insights, explains what data analytics is, how it’s different from big data, and – most importantly – how it can impact government operations and citizen services. Then, it discusses how to get the most out of your data by walking through some common challenges to data success and then matching those challenges to cultural and technical solutions. To help us with some of the technical lingo, we also hear from expert, Melissa Fields, Solutions Architect at ClearShark – an industry leader in providing customized, integrated and managed IT solutions to government. The course comprises an overview, 6 lessons,2 interactive segments, and a post-course survey.

Learning Objectives:

Continuing Education: GovLoop is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors.

Using Electronic Health Records for Health Services Research. Year Developed: 2015. Source: U.S. Maternal and Child Health Bureau, Office of Epidemiology and Research. Presenter(s): Wilson Pace MD, FAAFP; Richard "Mort" Wasserman, MD; Alex Fiks, MD, MSCE. Type: Webinar Archive. Level: Advanced. Length: 90 minutes.

Annotation: This webinar introduces the CER2 (Comparative Effectiveness Research through Collaborative Electronic Reporting) project, which is intended to be a resource to the pediatric research community for epidemiological, comparative effectiveness, and health services research. Topics include electronic health records, psychotropic medication, and data issues.

Learning Objectives: • Understand the progress and evolution of pediatric Electronic Health Records (EHR) through nationwide Comparative Effective Research Through Collaborative Electronic Reporting (CER2) project. • Describe how to utilize the different types of EHR data available in CER2 in conducting health services research. • Learn how non-CER2 researchers can potentially utilize CER2 data for pediatric health services research.

Statistical and Epidemiological Framework for Public Health Analyses. Year Developed: 2015. Source: Health Resources and Services Administration, Maternal and Child Health Bureau; Centers for Disease Control and Prevention; CityMatCH. Presenter(s): Deb Rosenberg, PhD. Type: Narrated Slide Presentation. Level: Intermediate Advanced. Length: 77 slides. Audio

Annotation: This pre-course webinar for the 2015 Training Course in MCH Epidemiology provides an overview of MCH epidemiology including the basics of analytic methods, the sampling framework, and the epidemiologic framework.

Raising the Bar with a New Performance Management System. Year Developed: 2015. Source: Public Health Quality Improvement Exchange. Presenter(s): Stephen Johnson. Type: Webinar Archive. Level: Intermediate. Length: 90 minutes.

Annotation: This webinar discusses considerations for developing a performance management system and provides a demonstration of the performance management system developed by the Maricopa County Department of Public Health. The presenter also discusses some key challenges encountered with the system and how the team is working to overcome those challenges. The context of the presentation is accreditation of the county by the Public Health Accreditation Board.

Quality in Public Health, Unit B. Year Developed: 2015. Source: National MCH Workforce Development Center. Presenter(s): N/A. Type: Video. Level: Introductory. Length: n.a..

Annotation: This module provides key definitions and concepts for performance measurement. Learn practical tips for selecting and using quality and performance measurement to effectively monitor system performance. A step-by-step example illustrates the process and provides a reference for implementation.

Learning Objectives: • Understand important quality measurement terms and concepts • Apply the following practical measurement strategies: Preserving the context Listening to the Voice of the Process Knowing when to bundle and unbundle data Using a balanced set of measures Differentiating types of measures and their uses Implementing a measurement system, not just measures

Quality in Public Health, Unit A. Year Developed: 2015. Source: National MCH Workforce Development Center. Presenter(s): N/A. Type: Video. Level: Introductory. Length: n.a..

Annotation: This module provides a description of key characteristics of quality, quality assurance, and quality improvement. Explore different approaches (Lean, Six Sigma, etc.) that can be used in public health to improve quality and walk through examples that apply the concepts and tools.​

Learning Objectives: • Describe characteristics of quality, including consistency, timeliness, stakeholder expectations, and technical specifications. • Compare Quality Assurance (QA)/Quality Control (QC) and Quality Improvement. • Explore methods and approaches to improve quality, including the PDSA Cycle, Lean Thinking, Six Sigma, Total Quality Management, and theories of Organizational Effectiveness. • Consider how quality methods may be applied in public health. • Describe the quality continuum, the performance management cycle, and open feedback systems​.

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This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under grant number UE8MC25742; MCH Navigator for $225,000/year. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.