Fragmented Data is Costing Health Systems More Than They Realize

The following is a guest article by Rob Grant, Chief Commercial Officer at Kythera Labs

Health systems have invested heavily in analytics over the past decade. Yet many of their biggest strategic decisions, from where to expand a service line to why patients leave the system, are still made with an incomplete picture. Most organizations operate 16 or more clinical and operational systems, each with its own patient records and its own definition of who a patient is. When one patient exists as multiple records, leaders can never see the full patient journey. 

One health system learned this firsthand during what was expected to be a routine review of its orthopedic service line. Internal reports showed stable volume and healthy margins. Nothing suggested a problem.

When the organization connected its internal billing data with external claims, the story changed.

The analysis uncovered 382 total knee replacements that had been performed by a competing hospital. Every procedure had been referred by one of the system’s own physicians. Every patient had entered the health system first before receiving surgery elsewhere. Those cases represented an estimated $6.9 million to $10.7 million in downstream revenue from a single service line.

Nothing had been coded incorrectly. None of the reports were technically wrong. The missing revenue simply never appeared because the organization’s data stopped at the edge of its own network. Once patients left, so did visibility.

In my experience, this isn’t an isolated story. It’s remarkably common. Most health systems simply can’t see what happens once patients leave their own network, so they don’t realize how much revenue is walking out the door. 

The Cost of Only Seeing Part of the Patient Journey

Fragmented data affects far more than reporting. It shapes growth strategy, patient retention, and competitive positioning.

Growth planning depends on understanding where patients actually receive care, not just where they first enter the system. Internal data can tell you how many procedures you performed. It cannot tell you how many procedures began with your physicians but ended somewhere else. A service line may appear healthy while quietly losing meaningful market share.

Referral leakage is one of the clearest examples. Hospitals lose an estimated $150 billion every year to patients who receive care outside their networks, not because of billing mistakes, but because referrals and downstream procedures happen where internal systems can’t see them. Yet nearly one in four health systems doesn’t actively measure referral leakage at all, simply because the data lives in disconnected systems.

More Data Isn’t the Answer

Health systems generate enormous amounts of data every day across EHRs, claims, scheduling, pharmacy, laboratory, and imaging systems. The challenge is that these sources were never designed to work together. Different systems define patients differently. Clinical events are recorded in different ways. Duplicate records accumulate over time. Strategy and analytics teams often spend more time reconciling data than interpreting it. Instead of answering strategic questions, they’re still trying to determine which version of the data they can trust.

That’s why simply adding another dashboard rarely solves the problem.

The greater opportunity is creating a trusted, analysis-ready foundation. That means resolving duplicate patient identities, standardizing key definitions across the enterprise, and connecting internal information with external claims so patient journeys can be followed beyond the organization’s walls.

Creating a single, trusted patient identity is foundational. Once organizations can consistently recognize one patient across every system, they can finally connect events that previously appeared unrelated. 

The rise of AI-powered strategy agents raises the stakes even further. Executives can increasingly ask complex business questions in plain language and receive answers in minutes. But AI doesn’t fix fragmented data. It simply delivers fragmented insights faster. Organizations that have unified their data will make better decisions more quickly. Those that haven’t will automate blind spots. 

In the orthopedic example, the market didn’t suddenly change. The patients were always there. The difference was that the organization could finally see the complete sequence of care. Referral leakage became something leadership could measure by physician, service line, and geography, making it possible to address instead of simply suspecting it existed.

What Becomes Possible with a Complete View

Once organizations have a complete view of their patients, the benefits extend well beyond better reporting. The financial impact often comes first. When clinical data is connected with external claims, organizations frequently uncover revenue opportunities that had been invisible for years: linking clinical data with claims often returns measurable dollars within the first few months, well before any larger modernization effort wraps up. In the orthopedic case, those 382 knee replacements weren’t a modeling exercise; they were revenue leadership could now name, quantify, and go after.

The second gain is a clearer read on patient movement. Instead of seeing only what happens inside their own facilities, leaders can follow patients across the wider care journey, spotting where referrals go, where people leave the network, and where a payer conversation needs different footing.

The third is precision. Instead of guessing at why patients leave, teams can point to the specific referral pattern, capacity constraint, or access barrier behind the leakage. Capital planning tightens too, because investment follows real market demand rather than internal estimates.

Building a Stronger Foundation

The technology matters less than the outcome. Better strategy begins with better data.

Technology can help connect existing systems without requiring organizations to replace the infrastructure they’ve already invested in. By linking internal clinical and billing data with external claims through a privacy-preserving patient identity, health systems can finally see where patients go, where referrals leak, and where growth opportunities exist. The goal isn’t more data, it’s a more complete picture. 

Every health system will take its own approach, but the underlying challenge is the same. Strategic decisions are only as good as the data behind them.

Connecting data doesn’t change the market, it changes how clearly leaders can see it. And, in today’s environment, where every referral, every patient relationship, and every investment decision matters, that clarity may be one of the few remaining competitive advantages. 

About Rob Grant

Rob Grant leads commercial strategy and growth at Kythera Labs. He brings extensive experience in healthcare market strategy, innovation, and executive leadership, having previously served as Chief Strategy and Innovation Officer at Mercury Healthcare and Healthgrades. Rob has also played a key role as co-founder and executive leader at Evariant, where he helped shape enterprise solutions and strategic direction. His background spans market expansion, strategic partnerships, and aligning technology with customer needs, informing how Kythera engages customers and delivers commercial impact.