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Why Your Data and Analytics Solutions Should Be Built for Healthcare

Why Your Data and Analytics Solutions Should Be Built for Healthcare

Summary

Most data and analytics platforms were designed for broad use cases and don’t fully respond to the complexity of healthcare. By contrast, healthcare-specific tools go beyond data storage to deliver cleaner integration, regulatory alignment, and actionable insights tailored to clinical, operational, and financial goals. By addressing industry-specific challenges, these purpose-built solutions consistently outperform non-industry tools, producing better insights and ultimately better healthcare results.

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You’ve just discovered a $30 million revenue leak—and your CFO wants answers by Friday. Can your industry-agnostic data and analytics platform help you find them in time?

Healthcare data analytics should help leaders spot revenue leakage fast—not bury them in extra costs and complexity. Healthcare systems battle many challenges at the organizational level. Mounting cost drivers, evolving Medicare and Medicaid regulations, and siloed legacy systems make it hard to identify problems and solve them.

These are more than theoretical concerns. And yet, organizations still implement generic, cloud-based data and analytics platforms not designed for healthcare when they need healthcare-specific analytics solutions. Traditional solutions will not solve a complex puzzle.

Why General-Purpose Cloud Analytics in Healthcare Fails Leaders

The real price of a poorly matched data platform and self-service analytics solutions isn't just the software; it's the downstream effects:

Overruns from Customization: Off-the-shelf analytics tools demand extensive configuration to work with healthcare data models, delaying ROI and requiring constant IT involvement.

Compliance Gaps: Unlike healthcare-specific analytics platforms, general platforms typically need third-party tools or add-ons to meet HIPAA, HITRUST, and GDPR standards, driving up risk and cost.

Unpredictable Pricing: With pay-as-you-go billing models, costs spike when data is queried, moved, or stored. Budgeting becomes guesswork.

Operational Drag: Instead of unlocking insight, the wrong analytics platform introduces complexity, slows down decision-making, and drains IT resources.

For leaders staring down regulatory penalties or revenue gaps, choosing the right platform can be the difference between stability and crisis.

Case Study: How Healthcare Analytics Closed Revenue Leakage Beyond the EHR

One leading health system needed to stop revenue leakage and ongoing financial losses.

Their EHR-based revenue integrity tool quickly became ineffective in pinpointing financial breakdowns. Without support for custom development, the financial risks outweighed any benefit from updating current technology.  

Instead, the health system identified a web-based solution for the mid-revenue cycle that would not only close the revenue gaps but would accelerate their financial outcomes.  

Capabilities like charge capture, coding, chargemaster management, and compliance were easily integrated into their existing workflows. Within months, their revenue cycle team reviewed over 20,000 line items, customized rules to reduce false positives, and streamlined their audit and compliance efforts.

The result: improved reimbursement accuracy, faster compliance with new Centers for Medicare & Medicaid (CMS) regulations (automatically updated in the tool), and more than $49M in additional gross revenue captured—without the need for manual workarounds or excessive customization.

The Strategic Advantage of Purpose-Built Healthcare Analytics

This example of a more strategic approach starts with acknowledging that healthcare is different. Platforms that are purpose-built for this industry come equipped with the tools and infrastructure needed to handle its demands from day one:

• Pre-configured data models (e.g., FHIR, HL7) eliminate the need for custom builds.

• Built-in healthcare analytics and AI tools support clinical, operational, and financial priorities—from quality improvement to population health.

• Embedded compliance features reduce reliance on patchwork solutions for data protection and regulation.

• Predictable pricing models make it easier to forecast the total cost of ownership and avoid budget blowouts. Predictable costs are especially important in a downturn or a tumultuous economy.

When healthcare leaders look at these elements as more than just technology investments, they can begin to build a holistic system that aligns with present-day and future needs and constraints.

Case Study: Healthcare Analytics Reveals Revenue Leakage and Cost Drivers

Forward-thinking health systems are choosing purpose-built solutions that deliver fixed pricing, built-in compliance, and the agility to scale without surprises.  

Temple University Health System (Temple Health) uncovered excess inpatient days by payer and cost drivers among surgical patients when they demanded a data solution designed for healthcare realities.

By investing in a data strategy with revenue and costing solutions that connected EHR, claims, and payroll data, they gained a better understanding of where costs were outpacing care.  

Temple Health’s leaders discovered population-specific cost drivers, pinpointed excess inpatient days tied to specific payers, and improved budget accuracy by aligning payments with the actual cost of care delivery. They also reclaimed efficiencies and recouped cost savings without compromising quality.  

In short, they moved from reactive to strategic.

From Data to Insight: How Cloud Analytics in Healthcare Drives Better Outcomes

Leading health systems understand that adopting new technology isn't just about better dashboards. Instead, it’s about asking better questions and finally having the infrastructure to answer them. 

In the cases mentioned above, and other success stories, choosing the right data and analytics solutions isn't just a technical decision—it's a strategic one. When done right, it accelerates insight, improves care, and maximizes lean resources.

"Healthcare analytics isn’t just about dashboards—it’s about solving the real financial and operational challenges health systems face today. From uncovering revenue leakage in healthcare to accelerating compliance and cutting hidden costs, purpose-built cloud analytics in healthcare platforms like Health Catalyst Ignite™ provide the infrastructure leaders need to move from reactive to strategic."

Ready to stop revenue leakage and unlock measurable outcomes? Connect with a Health Catalyst expert to explore how purpose-built healthcare analytics can transform your strategy.