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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

Sumber Daya Terkait

09 August, 2025
EMC Healthcare
Mr Jusup Halimi, CEO, and Dr Bella Desra Andae, Medical Informatics Specialist, at EMC Healthcare describe their EHR journey with InterSystems – implementing a unified EHR across eight hospitals in 18 months to moving to an AI-powered EHR system.
06 August, 2025
HIMSS Market Insights Infographic
One Patient, One Record Healthcare organizations rely on a wide range of systems to deliver care — from EHRs and pharmacy software to scheduling tools and billing platforms. But when each system stores patient data separately, inconsistencies, duplicate records and identity challenges can disrupt care and limit AI implementation, workflow optimization and data exchange. Recent HIMSS Market Insights research confirms that healthcare leaders recognize the strategic importance of accurate patient identity data, yet persistent issues continue to undermine progress.
26 July, 2025
KLAS Research - Healthcare IT Insights
Successful HIE Deployments Outside the US
23 July, 2025
Frost & Sullivan
With its strong overall performance, InterSystems earns Frost & Sullivan’s 2025 Middle East Enabling Technology Leadership Recognition in the EHR of the future industry.
23 July, 2025
IDC Market Perspective
In this IDC Market Perspective report, IDC emphasizes that AI is no longer an optional feature but a foundational component of healthcare technology, deeply embedded in InterSystems products and strategy.
03 July, 2025
Healthcare Supply Chain
Supply chain visibility is crucial for improved patient care and purchasing decisions. InterSystems Supply Chain Orchestrator provides an AI-enabled supply chain decision intelligence platform to predict disruptions before they occur and optimally handle them when they do. It empowers you to improve patient care with an optimized end-to-end healthcare supply chain.
28 June, 2025
UC Christus, Chile
Dr. Sabastian Valderrama, Medical Director for Innovation and Expansion at UC Christus, Chile describes the clinician experience and reduced clinical burden with InterSystems IntelliCare.
28 June, 2025
Mediclinic Middle East
Augustine Amusu, Chief Information Officer, Mediclinic Middle East, United Arab Emirates discusses the promise of generative and ambient AI, and the benefit to for strengthened clinician and patient relationship.
14 June, 2025
InterSystems IRIS for Health™ as an Independent Data Repository
A clinical data repository (CDR) enables the processing of healthcare data outside of the electronic medical record (EMR) system. Download the white paper to learn more.
29 May, 2025
HIMSS Market Insights Study
A recent HIMSS Market Insights study reveals that healthcare leaders understand the strategic need for patient identity matching, but struggles remain, particularly with data interoperability, duplicate records and inconsistent or missing data. They acknowledge that challenges must be overcome if they are to accomplish broader initiatives, especially around artificial intelligence (AI) implementation, workflow optimization and data exchange.

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