Platform
OPERA builds the digital infrastructure that connects a patient's clinical data, wherever it lives, and puts it in the clinician's hands.
The platform is under development: this page describes what it is designed to do.
The problem: clinical data is fragmented
The information that matters for following a patient over time is spread across systems that do not talk to each other.
- Hospital medical record
- Laboratory system
- Diagnostic imaging archive
- Reports in PDF
- Exports from clinical devices
- Documents on paper
So this data is not ready for systematic analysis, and clinical decisions are left without data-driven support even when the information exists.
The solution, in three steps
- Integrates
- OPERA is designed to collect clinical data where it originates (the visit, files exported from other systems and from devices, documents) and bring it into one common standard schema. The original data is kept, and every value stays traceable to its source.
- Assists
- Predictive modules are planned on the harmonized data, to help the clinician assess risks and compare treatment scenarios. Every indication is a suggestion, shown together with its degree of uncertainty: the physician can confirm it, ignore it or replace it with their own assessment, and the decision remains theirs.
- Supports research
- The same data is also meant for analysis and research functions, kept apart from the path of the clinical decision: overviews of groups of patients, exploration of clinical hypotheses, development of the models.
OPERA is designed to make data collection part of the clinician's daily workflow, without the manual steps that slow down research and practice today.
- Structured data capture during the visit
- Up-to-date clinical database
- Automated reports and documentation
- Analytics and predictive models
Technology built for clinical data
A modular architecture, designed to turn clinical data into a structured, interoperable, research-ready resource.
Interoperability and open standards
The architecture provides for mapping to the OMOP Common Data Model, the international standard for harmonizing health data from diverse sources. This lays the ground for multicentre research and real-world evidence, in the direction set by the European Health Data Space for the secure reuse of health data.
Artificial intelligence and decision support
Structured data is meant to feed predictive models and risk stratification tools. Every AI module is designed with a human-in-the-loop approach: the system suggests, the clinician validates and decides. Modules intended to influence clinical decisions are designed with the regulatory pathway that applies to them in view.
Data security and governance
The architecture provides for role-based access, traceability of operations and support for pseudonymization. It is designed for regulated environments, with the modules intended for clinical use kept separate from the rest of the platform.
The layers of the platform
The platform is organized in distinct layers, so that each can evolve and be verified on its own.
- Common foundation
- Patients, visits, clinical history, data collection and harmonization, dashboards and reports: everything that does not depend on the disease.
- Predictive modules
- Risk estimates and scenario simulation in support of the clinician. They work on the data of the common foundation, but stay separate from it.
- Clinical verticals
- What is specific to a disease: the data to collect, the rules, the terminology, the models. The first are OPERA-SSc and OPERA-LIFE.
- Analysis and research
- A layer that reads the harmonized data without changing it, for the study of groups of patients and for research.
Want to find out whether OPERA is right for you?
Tell us how your organization works and what data it collects: we will tell you frankly what the platform will be able to do for you and where we stand.