Facilitated executive panels with audience engagement. Let’s hear from you and your peers!
Quality and Safety: Reporting Incidents Reduces Harm
Patient safety teams lack accurate, timely, and comprehensive incident reporting. A key reason: existing incident reporting solutions are complicated and require too much time from busy frontline providers. What’s more, products typically don’t support a feedback loop, which discourages reporting since staff have no way of knowing if their submissions have been acted upon. Finally, most products don’t include robust analytics that guide reviewers through effective safety improvement activities.
Has your organization succeeded in reporting patient safety incidents? Why or why not?
Population Health: Focusing on the Right Populations
Organizations are challenged to focus population health efforts on the most impactable patients. They need an approach for identifying and managing complex populations—one that is driven by benchmarked data and matched with their commensurate dollar impact to help them understand their performance potential and prioritize accordingly.
How does your organization prioritize the most impactable populations to focus on?
Health Equity: Using Data to Define the Problem and Drive Change
New regulations, pricing transparency requirements, and thinning margins are causing hospitals to become ever more reliant on their revenue-cycle data being truly comprehensive and up to date.
How have your revenue cycle processes changed to respond to shifts in healthcare?
Measures: Using Measures to Drive Improvement
Quality teams struggle to collect, validate, and submit data while maintaining dashboards, often a manual process. This limits time to support improvement goals at the individual provider, unit, organization, and system level. At all levels, and even with the best intentions, quality can become about making data and dashboards, and not about making a difference.
What has worked to streamline collecting, validating, and submitting measures data? What hasn’t?
HIEs: Transitioning HIE Data From Data Intermediaries to Population Health Enablers
With healthcare transitioning from fee-for-service to value-based care, health information exchanges (HIEs) are also transitioning from being transactional data intermediaries to popularion health enablers. For HIEs, building a comprehensive population health management infrastructure to support the diverse needs of its members requires expertise around several value-based programs and persistent focus on improving data quality.
Does your organization use HIE data? Why or why not?
Outsourcing: Driving Expertise, Efficiency, and Savings
Location: Sun Valley
Healthcare systems face signficant cost and margin pressure challenges that outsourcing can help solve. They strive to reduce labor costs while preserving employment, morale, and reputation. They need to attract, develop, and retain talent, particularly in high-demand fields like analytics and data science. All while realizing greater quality, efficiency, timeliness, and accuracy of data-driven processes.
Has your organization had success with outsourcing? Why or why not?
Data Quality: Preparing for the Next Emergency
Pandemic-driven urgency, variety of data, and a lack of resources have highlighted the critical importance of data quality as a prerequisite for any analytic use case. The COVID-19 pandemic will not be the last of its kind. Organizations must prepare for the next large-scale emergency by committing to a system-wide data quality strategy that produces accurate data at all organizational levels.
Have you ever discovered that your data was telling the wrong story? How did you handle it?