Enterprise Case Study: How a Healthcare Provider Transformed Patient Data Exchange with Low-Code in 2026
When Regional Health Partners — a network of 14 hospitals and 200+ ambulatory clinics serving 1.8 million patients across three states — set out to solve its patient data exchange problem in 2025, the conventional approach would have been a $4-6 million, 2-3 year interoperability platform implementation involving custom HL7 FHIR development, extensive EHR integration work, and a specialized health IT consulting engagement. Instead, the organization used a low-code platform to build a custom clinical data exchange and care coordination platform in 8 months for approximately $850,000 — achieving the interoperability goals that had eluded the organization for years, improving care coordination metrics by 35%, and reducing clinically relevant data gaps at the point of care by over 50%. This case study examines how a mid-sized health system achieved enterprise-grade interoperability at a fraction of the traditional cost and timeline, and what other healthcare organizations can learn from their approach.
The Challenge: Data Fragmentation Across a Distributed Care Network
Regional Health Partners had grown through acquisition over two decades, and its technology landscape reflected that history. The network's 14 hospitals used three different instances of Epic, the dominant EHR platform, plus two legacy Meditech installations at smaller facilities that had not yet been migrated. The ambulatory clinics used a mix of Epic, Athenahealth, eClinicalWorks, and several specialty-specific EHRs. Primary care physicians routinely could not see what happened to their patients during hospitalizations; emergency department physicians made treatment decisions without access to patients' complete medication lists and problem histories from their outpatient records; specialists ordered duplicate tests because they could not access results from other facilities in the network. The clinical and financial consequences were significant: redundant testing, medication errors, avoidable hospital readmissions, and patient frustration with having to repeat their medical history at every encounter.
The organization had attempted to solve this problem twice before — once through a major EHR vendor's interoperability module (implementation stalled after 18 months and $2.5 million spent, with only partial data sharing achieved between the Epic instances) and once through a custom integration development project (abandoned after the lead developer left and the complexity of maintaining custom HL7 interfaces across multiple EHR versions proved unsustainable). By 2025, the Chief Medical Information Officer described the situation as "the single biggest clinical quality and patient safety problem in our health system, and the one we have proven least able to solve through traditional approaches."
The Low-Code Solution: A Clinical Data Exchange Platform Built in 8 Months
A new Chief Digital Officer, hired in early 2025, brought experience with low-code platforms from a previous role in the financial services industry. Rather than attempting another large-scale interoperability platform implementation, she proposed a different approach: use a low-code platform to build a lightweight clinical data exchange layer that would pull relevant patient data from each EHR system, normalize it into a consistent format, and make it available to clinicians through a unified interface embedded within their existing EHR workflows.
The Informat low-code platform was selected for its healthcare compliance capabilities (HIPAA-compliant infrastructure, FHIR API support, audit logging), its pre-built healthcare integration connectors, and its ability to enable the health system's clinical informatics staff — who understood the clinical data and workflows but were not software developers — to participate in building the platform. A small team consisting of two clinical informaticists, one integration engineer, and one low-code developer built the platform incrementally over 8 months, starting with medication and allergy data exchange (the highest-impact clinical data types) and adding problem lists, lab results, and imaging reports in subsequent phases.
Results and Lessons Learned
Within 6 months of full deployment, the platform had achieved measurable clinical impact: a 52% reduction in clinically relevant data gaps at the point of care, a 35% improvement in care coordination metrics, an estimated 18% reduction in duplicate testing, and — most importantly — enthusiastic adoption by clinicians who had been skeptical after the previous failed interoperability attempts. The key factors in the project's success were starting with a focused scope (medication and allergy data first, proving value before expanding), including clinical informaticists on the development team (ensuring the platform supported actual clinical workflows rather than theoretical requirements), and selecting a platform that provided healthcare-specific compliance and integration capabilities rather than requiring them to be built from scratch.
Conclusion: A New Model for Healthcare Interoperability
The Regional Health Partners case illustrates a pattern that is becoming increasingly common in healthcare: using low-code platforms to build fit-for-purpose clinical applications that address specific, high-impact interoperability and workflow challenges at a fraction of the cost and time of traditional health IT approaches. This model does not replace EHRs — they remain the systems of record for clinical data — but it provides the integration and experience layer that connects fragmented EHR instances and delivers the unified clinical view that clinicians and patients need. For health systems that have struggled with interoperability through traditional approaches, low-code platforms offer a pragmatic, proven path forward.