2023 Most Wired Analytics and Data Management segment report

Digital Health Most Wired survey

The annual CHIME Digital Health Most Wired (DHMW) survey is a significant digital health “north star” that healthcare organizations (HCOs) have relied upon for years. Reflecting the digital profiles of approximately 40% of U.S. hospitals, the array of HCOs included in the 2023 DHMW survey is representative of the known US Health System landscape.

Acceleration of data usage

In a digital health world shaped by Meaningful Use, HCOs have largely moved on from focusing on their data capture and storage capabilities to improving outcomes. In this environment, leveraging data emerges as a critical activity in the realization of improved operational and clinical outcomes.

This “acceleration of data usage” was evident in all eight sections of the survey, but it is at the heart of the Analytics and Data Management section. To better leverage data for the purpose of deploying analytics and AI/ML, HCOs are increasingly relying on specialized leaders, moving to cloud storage and as-a-service analytics applications.

Analytics and Data Management Segment Trends Report

Using the 2023 DHMW survey as a starting point, we profiled survey findings around analytics leadership, data management practices, analytics capabilities, and data governance trends. Featuring expert insights from Philips, this Analytics and Data Management Segment Trends Report is designed to provide context and clarity around how HCOs can manage the complex healthcare data landscape and take advantage of powerful new predictive technologies in a responsible and productive way.

Register and download the report today to learn more about:

• Specialized analytics and data leaders combine a knowledge of techniques and tools with healthcare business acumen to improve compliance, patient care, and operating costs.
• How HCOs can focus on core strengths by moving data and analytics to the cloud via careful assessment, migration, and monitoring processes.
• The high use rate for analytics among HCOs, who increasingly are using AI, machine learning and predictive analytics (PA) for clinical workflows.
• Leveraging expert partners for data storage and analytics applications as-a-service and to gain access to cutting-edge technologies such as AI, ML, and PA.