The client (a major e-health provider) faced data fragmentation across dozens of heterogeneous HIS/EMR systems. A unified, secure, and scalable exchange was missing, which led to duplicate examinations, incomplete longitudinal records, manual merging processes, and delayed bedside decisions. There was no way to automatically link different patient identities across healthcare organizations.
Interoperability of health data and secure mapping of patient identity
Client CountryUSA
- Client typeEnterprise
- IndustryHealthcare, Pharma & Biotech
- Application areasData & Analytics / Business Intelligence, IT, Cybersecurity & Data Infrastructure, Operations & Process Automation
- AI technologiesAdvanced Analytics / Data Science, Explainable & Trustworthy AI, Machine Learning
- Business impactsOperational Efficiency & Cost Savings, Risk Reduction & Compliance
- Data typesDocuments / Semi-structured Data, Image Data, Structured Tabular Data, Textual Data
- Delivery modelsConsulting, Custom Development, Product / Licensed Software
- DeploymentsHybrid
- Key capabilitiesDecision Support & Augmented Analytics, Intelligent Search & Knowledge Retrieval
- Project stagesScaling / Expanded Implementation
- Solution formsAnalysis, Recommendation, or Report, Automated Backend Process, Plugin / Extension for an existing system, Web Portal / Dashboard
Solution Description
Problem description
Solution
We have created a scalable platform for secure real-time exchange of health data. It implements the latest standards HL7 v2/v3, FHIR, and IHE profiles, and integrates directly into the EMR. It automates the generation of concise summary records from all available clinical documents. It automates the linking of patient identities across healthcare facilities. It sensitively works with organizational security policies and filters data according to patient consent.
Main Users of the Solution
Healthcare staff across the entire system (doctors, nurses, paramedics, psychologists, social workers, etc.)
Project timeframe (months)
20 years
Technologies used
Robust distributed cloud solution optimized for big data and very fast operation. A mix of AI algorithm, NLP, expert systems, LLM.
Additional services
- AI strategy and roadmap
- Audit / feasibility study
- Identification and prioritisation of suitable use cases
- Data collection and pre-processing
- Annotation / synthetic data / dataset expansion
- AI model selection and customization
- Compliance / regulation support
- Continuous maintenance and model retraining
Use of Personal / Regulated Data
Yes
Implementation
Project Owner on the Client's Side
Top Management (C-level)
Participation on the Client's Side
- Business / Product Owner
- Domain / Process Experts
- Data & ML specialists
- Software & Data Engineering / IT Ops
- Project and Change Management
- Quality, Security, Compliance
- End Users
Form of Supplier Involvement
Complete implementation
Operation and Maintenance
Operational Model
Joint management
Needed Competencies on the Client's Side
Cloud, system configuration
Impact and Results
Qualitative Benefits
- Faster clinical decisions thanks to complete longitudinal records in the EMR
- Fewer duplicate examinations and errors; overall increase in Quality of Care
- Smoother paperless communication between providers.
- Higher security and compliance (audit trail, consents, access management).
Lessons Learned and Recommendations
Key Success Factors
- From a pioneering prototype to a market-leading product – 20 years of continuous development and innovation
- Clear vision and strong sponsor on the client’s side
- Implementation of HL7/FHIR/IHE standards, but also tolerance for deviations to enable integration
- Iterative deliveries (agile), pragmatic inclusion of transparent AI algorithms
- Security, auditability, and compliance from the start (privacy by design)
Recommendation for Others
We recommend (a) building paperless, fully electronic clinical solutions, (b) requiring software products that can import/export data and support international standards, and (c) building on NIS/EMR that allows the integration of third-party functionality.
- CompanyEntentee
- ContactSeen Aquin
- Emailseen.aquin@ententee.com
- Websitehttps://ententee.com
- AddressZa Poříčskou bránou 365/21, 186 00 Praha