The user uploads a study (the recorded electrocardiogram and the clinical context) — the pipeline builds a draft conclusion — the physician agrees with it and authorizes it with a qualified electronic signature — the document is formed as a structured medical document and goes for registration. An ECG recording made at home works in the same way: it reaches the physician already read and shaped into a conclusion, not raw.
The chain is produced at a click. The evidence chain answers the question “what is the output based on”: behind a finding stand a versioned rule with a reference to a quotation from a trusted source, and the signal window from which the output was drawn — not the weights of a model.
Architecture
Architecture
The chain that assembles a decision: a single knowledge graph — the knowledge compiler — validation of the rule package — execution by a deterministic C++ computation core — the synthesis of reports — the physician’s workplace. The rules are defined in the graph in a rule-description language and compiled into executable code: a short response time and low operating costs, with no infrastructure for serving and running models.
The output is a structured medical document signed with the physician’s qualified signature under the requirements in force, with the signature verified against Russian national cryptographic standards and with the registration states tracked in the registry of medical documents.
The core
The decision core
Interpretation is run not by an AI model but by a deterministic pipeline following verified rules bound to quotations from trusted sources.
The hardest task is solved not by an algorithm but by architecture: not to “guess right”, but to recognize the features reliably, to state the grounds explicitly and to present them to the physician or the patient as an evidence chain.
The finding
What stands behind a finding
Every finding opens into grounds formed from the time window of the signal and the features computed over it. What a rule computes is a numeric value, a finding or a wording in the draft conclusion. The physician or the patient receives an assembled document in which every wording can be checked.
Two loops
Two loops of one product
An ECG recording made at home reaches the physician not as a photograph of the strip but as an analyzed case. In return the patient receives the document in their own record. Neither of the two surfaces gives this on its own — what works is their integration.
Dictionary
The dictionary of the cardiology dialect
The place of a training set is taken by a curated dictionary. As of the measurement date the dictionary holds 111 descriptors across seven layers of analysis: signal, quality, waves, morphology, rhythm, clinical conclusions, patterns; bound to the electrocardiographic subsets of international terminologies. Quality is checked term by term rather than declared over a sample.
The second mechanism is the accumulation of knowledge through the authorization of conclusions: the physician’s comment becomes a de-identified remark and lets a specialist correct the rule on stated grounds, with an author and a version. The third mechanism is the perimeter: the data do not leave the infrastructure of the organization or a cloud on Russian territory, and they do not go into the training of third-party models.
The way in is a pilot with a before-and-after measurement.
HealthOS Cardio is not a medical device. The machine does not make a diagnosis and does not sign the document: a physician authorizes the draft conclusion with a qualified electronic signature.