Healthcare Analytics: A Strategic Framework for Quality & Performance Improvement
A Strategic Framework for Quality and Performance Improvements
April 21 & 28, 2016
12:00 - 1:30 PM ET
Live, interactive, online sessions using Webex
Worm Rate Deadline: Feb. 5/16; Early-Bird Rate Deadline: Mar. 18/16
Instructor - Trevor Strome - Healthcare Analytics, Business Intelligence, and Quality Improvement Specialist
Using real-life success stories and lessons learned from the front-lines of health care, this two-part series will enable attendees to accelerate the transformation from relying on generic reports and dashboards to achieving truly useful Quality Improvement (QI)-focused analytic information and insights.
This series will provide healthcare decision-makers, analysts, and improvement specialists with a strategy development and execution framework that will immediately improve analytics effectiveness and return-on-investment within your health care organization. It will provide the tools and skills necessary to develop analytics strategies that fit the quality and performance improvement needs of your health care organization. The sessions will also discuss the analytical tools for leveraging healthcare information technology (HIT), data from source systems, and proven Quality Improvement (QI) methodologies to make more insightful, fact-based decisions for an HCO.
- Understanding quality and performance – Discuss recent advances in healthcare analytics and big data, and how healthcare analytics are essential to transforming healthcare by providing the right insight at the right time to the right people.
- Achieving quality and performance targets – Define what quality is and discuss how we can measure and improve it.
- Working with stakeholders – Provide tips on identifying and engaging appropriate stakeholders to better understand what decisions are being made, determining what insight is required, and learning how analytics are being used throughout the healthcare organization.
- Managing data and processes – Share best practices and lessons learned for effective data and process management, achieving high data quality, and developing clinical and performance indicators (that are actually useful).
- Using analytic tools and methods – Review essential types of analytical applications, discuss how to inventory the tools you’ve got, and identify the systems and methods you need to provide actionable insight to administrative and clinical decision-makers.
- Managing the talent – How to attract and retain analytics professionals, and keep them proficient in essential technical skills and analytic methodologies.
- Technology and infrastructure – Discuss advances in technical infrastructure used for analytics, and how to ensure you’re using the right hardware for your needs.
- Putting it all together – Learn how to implement your strategic analytics framework and achieve a true return on investment in your analytics team and technology.