Research · 4 min read
Health Informatics: Building the Data Infrastructure That Changes Orthopaedic Practice
The data that could transform orthopaedic practice already exists — in electronic health records, implant registries, physiotherapy systems, imaging archives, and outcome platforms. The challenge is not generating more data. It is building the informatics infrastructure that connects these sources, makes them accessible for analysis, and translates the insights they contain into clinical decisions that improve patient care.
Health informatics — the science of acquiring, managing, and using health information to improve patient outcomes — sits at the intersection of clinical medicine, data science, and implementation science in ways that make it one of the most strategically important disciplines in modern orthopaedics. The orthopaedic department that has built robust informatics infrastructure — integrated data from multiple clinical systems, structured in standardised formats, accessible for analysis, and linked to outcome measures — can answer clinical questions that departments relying on siloed electronic systems cannot even formulate.
The data that most departments are not using
Electronic health records contain longitudinal patient data — diagnosis codes, procedure codes, medication records, investigation results, clinical letters — that, when structured and linked, enable analysis of clinical pathways, outcome trajectories, and variation patterns that prospective studies cannot efficiently generate. A department that can identify, from its own EHR data, the proportion of patients with rotator cuff disease who receive physiotherapy before surgical referral, stratified by age, ethnicity, and deprivation quintile, has the foundation for a quality improvement programme that a department without that infrastructure cannot run.
PROM data — when collected systematically before and after treatment and linked to clinical and demographic data — enables outcome analysis at individual and population levels simultaneously. The individual analysis identifies patients whose recovery trajectories deviate from expectation. The population analysis identifies the clinical, demographic, and procedural factors most associated with excellent outcomes — and those associated with poor ones.
FHIR and the interoperability imperative
HL7 FHIR — Fast Healthcare Interoperability Resources — is the emerging international standard for health data exchange that makes interoperability between clinical systems practically achievable at scale. FHIR-compliant systems can share patient data in standardised formats that allow integration across EHR platforms, imaging systems, and research databases without the bespoke data extraction agreements that have historically made cross-system analysis so resource-intensive. Advocacy for FHIR compliance in NHS procurement is one of the most impactful contributions an informed clinical community can make to the informatics infrastructure of orthopaedic practice.
The department that knows its own outcomes — precisely, longitudinally, stratified by the variables that matter — is in a fundamentally different position from one that does not. That knowledge is built through health informatics infrastructure, not through instinct.
💬 What is the most significant informatics gap in your department — and what investment would most improve your ability to analyse and act on your own clinical data?