Is this a Hungarian company?

No, the project company (Poiesy BV) is registered in the Netherlands, founded by a company also registered in the Netherlands (Szegedi Holding BV).

How is the ownership divided?

The startup company is currently 100% owned by Szegedi Holding BV, which may change after the involvement of investors. According to our plans (to simplify the administration) only companies (not individuals) can be owners.

Does the partner hospital share in the intellectual property?

No, the partner hospital that provides its data for the development of the models can use Poiesy services free of charge (and help determine its effectiveness through testing). Other services provided by the data collection module (searchable database, automatic EBMT form filling, patient history overviews) will be available only to them.

Are the diagnostic and therapeutic procedures used in Hungarian healthcare consistent with European routine?

Yes, the procedures are subject to uniform EU regulations. Therapeutic decisions are determined by legislation, and those are determined by international standards.

Do Hungarian health data (structure, codes) differ from those used in Europe?

The structure of health records and the code bases used may differ from institution to institution (even when international code bases are used, e.g. ICD, SNOMed, LOINC). However, the EBMT forms we use as data input eliminate this heterogeneity, as this format is used uniformly in all European haemato-oncology institutions.

What type of data is used?

Primarily those that are necessary for the complete completion of the EBMT forms (both in terms of diagnostics, therapy and follow-up). Since we would like to examine whether there are any data beyond the EBMT forms that are important for prediction models, we will also analyze additional data. If necessary, we will request that the structure of the EBMT forms be expanded with this data.

What is the number of patients that can be processed?

• Children who received HSCT treatment: 1000
• Adults who received HSCT treatment: 7000
• Other (solid or hematological) oncology cases (cases treated with chemotherapy or other non-HSCT): 28000

Are Poiesy products that support patient care and research available to anyone?

No, because they were developed only in the partner institution, for the purpose of data collection. It is in the interest of the employees here to record medication and patient care data in this, since the hospital system is not suitable for this. Integrating these software with the IT systems of other institutions would place an excessive burden on us. In the future, perhaps…

How does a hospital system connect to Poiesy?

The Poiesy API communicates with the hospital's HIS system: it receives the content of EBMT forms and returns disease dynamics characteristics, and it receives the therapy calendar and returns warnings or an optimized version. The integration step can be avoided by installing the Poiesy Desktop application within the hospital's closed network, which manages the logistics of EBMT forms and the surgical calendar.

How are EBMT forms delivered?

There are several options for this:

• Interactive forms filled in manually by the user on the Poiesy Desktop interface
• Filling in forms based on defined structured data (XML, JSON)
• Reading scanned forms
• Exporting data from the EBMT Register in Excel format
• Read-only access to the EBMT Register provided by the hospital

We usually fill out the EBMT forms only when we close the case.

This habit needs to be changed (it is the only one). As soon as new test results are obtained or a new therapeutic intervention has been performed, it must be recorded on the forms and the prediction calculation must be run again. The frequency of updates is the decision and responsibility of the user hospital.

EBMT mainly contains rarely changing parameters. What about the others?

Rapidly changing parameters (laboratory values, vital parameters) can be requested in addition to the EBMT form structure if necessary. These are mostly well-structured data, not dependent on the data-providing laboratory or country.

Does the project have the necessary ethical permission for data collection?

The Hungarian partner company producing the anonymized data (Bioinformat-X): has ethical permission for the patient data of the South Pest Central Hospital and the National Institute of Hematology (DPC) between 2025.06.01 and 2027.12.31.
Supervisor: Gergely Kriván MD PhD
Participants:

• DPC Pediatric Hematology and Stem Cell Transplantation Department (Gergely Kriván MD PhD)
• DPC Hematology and Stem Cell Transplantation Department (Péter Reményi MD PhD)
• DPC Molecular Genetics Laboratory (Hajnalka Andrikovics MD PhD)
• Bioinformat-X Bt. (Zsolt Szegedi MD)
• Poiesy BV (Melinda Szegedi)

Have the patients consented to the use of their data?

In connection with molecular genetic tests, a consent statement is requested from all patients, in which they can separately stipulate the handling of their data and samples, their use in research and their (anonymized) transfer to third parties. In the project, we only use the data of patients with appropriate consent.

How is the protection of sensitive patient data ensured?

Sensitive patient data is not disclosed to Poiesy employees. The Hungarian partner company (Bioinformat-X) encounters sensitive data when creating the anonymized database, but even there only doctors (who are also IT specialists) can see this. The in-hospital services of Poiesy's data collection module naturally allow for patient identification, but this data does not leave the hospital server.

By what right does software determine the order of patient care?

In general, patients are treated in the order they arrive. This can be modified by the duration of pre-treatment (conditioning) and finding a suitable donor. The order thus established can be overridden by an unexpected, urgent deterioration in condition: in this case, a patient in serious condition is moved to the front of the queue. Poiesy helps to find these patients so that their emergency care can be planned before their condition deteriorates. On the other hand, it helps to find those times in the surgical calendar that do not endanger patients who have been placed in the back in this way.

What technology does the Poiesy system use?

We use our own developed programs for data collection, mapping, and conversions. We use AI and NLP models to encode long text descriptions into structured data. We generate our prediction models with our own developed neural networks and classical statistical or big-data methods. The procedure for optimizing the patient care sequence is performed by our quantum computer routine. The user interfaces are built according to the standard web architecture: MariaDB + PHP + HTML + JS.