Learn: Data and Analytics
January 13, 2022
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December 22, 2021
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December 15, 2021
Why a Build-Your-Own Healthcare Data Platform Will Fall Short and What to Do About It
Health system may have some compelling reasons for choosing to build a data platform versus partner with a healthcare analytics vendor on a commercial solution. However, while organizations may think they’re saving money, gaining control and security, and more by opting for a homegrown approach, they’ll more than likely encounter challenges, hidden costs, and limitations. In comparison to a commercial-grade, healthcare-specific platform from a vendor, build-your-own solutions fall short when it comes to domain-specific content, technical expertise, total cost of ownership, and more. Organizations that partner on a vended platform vastly improve their chances of optimizing and scaling their analytic investment over time and achieving measurable improvement.
Analytics Facilitate $1M Grant Award to Improve Access to Behavioral Health Crisis Stabilization
Nearly 25 percent of adults in the state of Washington have behavioral health conditions. Many of these adults are unable to receive adequate treatment. MultiCare Health System (MultiCare), a non-profit healthcare organization in Washington, was experiencing a high number of patients coming to its emergency departments (EDs) for behavioral health needs, depleting its limited ED resources and impeding the quality of patient care. MultiCare sought a grant to help expand its behavioral healthcare and ease the strain on its ED services. The organization leveraged its analytics platform to obtain the necessary data to support the grant application
Five Practical Steps Towards Healthcare Data Governance
Health systems increasingly recognize data as one of their top strategic assets, but how many organizations have the processes and frameworks in place to protect their data? Without effective data governance, organizations risk losing trust in their data and its value in process and outcomes improvement; a 2018 survey indicated less than half of healthcare CIOs have strong trust in their data.
By following five steps towards data governance, health systems can effectively steward data and grow and maintain trust in it as a critical asset.
AI-Powered Benchmarking Transforms Data into Insight, Improving Organizational Effectiveness
Healthcare organizations have a vast amount of data available. Data need to be converted into better decisions regarding organizational focus, resource allocation, and setting and driving toward appropriate targets to optimize performance. Beyond significant data integration and transformation, optimal leadership decisions require a broad perspective and cutting-edge analytics.
Previously, INTEGRIS Health had high volumes of data but lacked the insight it wanted to drive performance. By leveraging a robust analytics platform, INTEGRIS Health now has more comprehensive and better-integrated data coupled with the cutting-edge analytics it needs to make critical leadership decisions and drive daily performance.
Four Elements that Bridge the Gap Between Using Data and Becoming Data-Driven
With mounting pressures to deliver quality care with fixed resources, data-driven healthcare is pivotal to organizations’ well-being. From operations to the front lines of clinical care, data can drive the best outcome if decision makers have relevant information when they need it. However, many organizations simply use data in one-off situations rather than integrating it into systemwide processes and workflows. To understand what it means to become data driven and take the right steps forward, organizations can apply four key elements.