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The Hidden Costs of Bad Healthcare Data

Sage Growth Partners

How using a smart data fabric can reduce hidden costs

Data underpins every decision that leaders at a healthcare organization (HCO) make today. But is it the right data? Is it accurate? Is it timely and meaningful? Can you rely on it to make effective decisions? Most HCOs suffer from an overload of disparate data from an array of internal and external sources that is managed via a hodgepodge of strategies and technology infrastructure. That decreases the data’s reliability and accuracy, and negatively impacts the entire enterprise by contributing to poorer clinical and business decisions, higher costs, and lower efficiency, care quality, and revenues.

A recent survey revealed:

  • 85% of organizations saw data analytics priorities as fundamental to achieving broader strategic objectives
  • 20% of those surveyed fully trust the data they rely on to make decisions

This new Sage Growth Partners report summarizes findings from a survey of healthcare executives that identified their most common data management and analytics challenges and how a smart healthcare data fabric can help address them.

Key findings included issues with:

  • Integration and interoperability
  • Poor data quality
  • Data access across the enterprise

Další Zdroje, Které By Se Vám Mohly Líbit

Oct 09, 2026
AMIA Webinar
Healthcare organizations are investing rapidly in AI, but many efforts remain fragmented across applications, data pipelines, and workflows. This makes it difficult to govern AI consistently, evaluate results in context, and build the trusted foundation needed for enterprise adoption.
Sep 25, 2026
White Paper
Independent Research Study of InterSystems IntelliCare at EMC Healthcare
Sep 25, 2026
Industry Insights
The future of healthcare will be shaped by whether AI fits naturally into clinical work, whether clinicians trust it, whether governance makes adoption safer, and whether outcomes can be measured in real healthcare environments.
Sep 23, 2026
A Technical Architecture for Interoperable, AI-Ready Healthcare Data Platforms
A Data Platform Built for Healthcare Complexity
Sep 21, 2026
AI in Healthcare
Dr. Emeline Ramos speaks with MIT researcher Dr. Angelica Marotta about how artificial intelligence is beginning to transform healthcare delivery—not by replacing clinicians, but by helping them spend less time at the computer and more time with patients. Drawing on research from a hospital AI deployment, the conversation explores how generative AI can reduce documentation burden, improve communication, increase eye contact, and support better clinical workflows while reinforcing the importance of trust, risk management, and keeping humans in the loop. Watch the video to hear practical insights for healthcare leaders, clinicians, and technology teams navigating the next phase of AI adoption.
Aug 25, 2026
Capability Statement
InterSystems supports federal agencies and public-sector partners.
Jul 22, 2026
Proven and Trusted
The Gold-Standard Partner for International Expansion
Jul 20, 2026
Fundamentals
Agentic AI architecture assigns specialized AI agents to distinct tasks so the combined result outperforms any single model. Learn core components, patterns, and decision frameworks.
Jun 15, 2026
HIMSS Infographic
HIMSS Market Insights Survey Reveals Healthcare Leaders’ Data Priorities
Jun 15, 2026
HIMSS Market Insights Study
Healthcare’s AI Ambitions Face a Data Reckoning

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