the key interoperability standards e.g., FHIR
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1. Some Key Interoperability Standards in Digital Health
1. HL7: Health Level Seven
Why it matters:
That is, it makes sure that basic workflows like registration, laboratory orders, and radiology requests can be shared across systems even though they might be 20 years old.
2. FHIR: Fast Healthcare Interoperability Resources
It organizes health data into simple modules called Resources, for example, Patient, Encounter, Observation.
Why it matters today:
FHIR is also very extensible, meaning a country or state can adapt it without breaking global compatibility.
3. DICOM stands for Digital Imaging and Communications in Medicine
Why it matters:
Ensures that images from Philips, GE, Siemens, or any PACS viewer remain accessible across platforms.
4. LOINC – Logical Observation Identifiers Names and Codes
Standardizes laboratory tests.
This prevents mismatched lab data when aggregating or analyzing results.
5. SNOMED CT
Why it matters:
Instead of each doctor writing different terms, for example (“BP high”, “HTN”, “hypertension”), SNOMED CT assigns one code — making analytics, AI, and dashboards possible.
6. ICD-10/ICD-11
7. National Frameworks: Example – ABDM in India
ABDM enforces:
Why it matters:
It becomes the bridge between state systems, private hospitals, labs, and insurance systems without forcing everyone to replace their software.
2. Why Health Systems Are Often Siloed
Real-world health IT systems are fragmented because:
The result?
Even with the intention to serve the same patient population, data sit isolated like islands.
3. How Health Systems Can Overcome Siloed Systems & Enable Real-Time Data Exchange
This requires a combination of technology, governance, standards, culture, and incentives.
A. Adopt FHIR-Based APIs as a Common Language
Think of FHIR as the “Google Translate” for all health systems.
B. Creating Master Patient Identity: For example, ABHA ID
C. Use a Federated Architecture Instead of One Big Central Database
Modern systems do not pool all data in one place.
They:
This increases scalability and ensures privacy.
D. Require Vocabulary Standards
To get clean analytics:
This ensures uniformity, even when the systems are developed by different vendors.
E. Enable vendor-neutral platforms and open APIs
Health systems must shift from:
This increases competition, innovation, and accountability.
F. Modernize Legacy Systems Gradually
Not everything needs replacement.
Practical approach:
Bring systems to ABDM Level-3 compliance (Indian context)
G. Organizational Interoperability Framework Implementation
Interoperability is not only technical it is cultural.
Hospitals and state health departments should:
Establish KPIs: for example, % of digital prescriptions shared, % of facilities integrated
H. Use Consent Management & Strong Security
Real-time exchange works only when trust exists.
Key elements:
A good example of this model is ABDM’s consent manager.
4. What Real-Time Data Exchange Enables
Once the silos are removed, the effect is huge:
Fraud detection Policy level insights For Governments Data-driven health policies Better surveillance State–central alignment Care continuity across programmes
5. In One Line
Interoperability is not a technology project; it’s the foundation for safe, efficient, and patient-centric healthcare. FHIR provides the language, national frameworks provide the rules, and the cultural/organizational changes enable real-world adoption.