Precision Medicine for Hematopoietic Cell Transplantation

Advanced AI-driven triage and prediction software designed to calculate survival curves, optimize treatment sequences, and streamline clinical workflows for HCT patients.

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POIESY Dashboard Overview

The POIESY Concept

Bridging the gap between complex disease dynamics and optimal clinical decision making.

Data-Driven Dynamics

We define disease dynamics using pseudonymized identifiers. Using EBMT forms describing diagnosis and therapy as input, our system calculates the most probable time-survival curve, determining the exact position of the patient in their treatment journey.

Strategic Triage

Our algorithms determine the optimal HCT treatment sequence. By analyzing disease dynamics against available treatment slots, POIESY identifies sequences that maximize collective survival outcomes or minimize the risk of patient loss.

Secure Integration

Served via the POIESY WEB API, our platform communicates seamlessly with hospital HIS systems or the POIESY DESKTOP software, ensuring data integrity while strictly adhering to privacy protocols within the clinic.

Our Product Suite

A comprehensive ecosystem for transplant centers, researchers, and clinicians.

Prediction Module
Analytics

Prediction Engine

Calculates the most probable time-survival curve based on EBMT inputs. Visualizes patient positioning to aid in critical decision-making.

Optimization Module
Triage

Treatment Optimization

Receive patient disease dynamics and available treatment days to calculate the optimal schedule, minimizing risk and maximizing resource utilization.

EBMT Forms
Data Entry

EBMT Support

Intelligent form filling support derived from low-level database data. Tracks completion status and highlights missing critical information.

Clinical Trials
Research

Clinical Trial Module

High-level data abstraction for clinical trials. Available as a secure local module (POIESY COLLECTOR) to protect sensitive patient data.

Patient History
Visualization

Patient Timeline

A visual overview of patient history including examinations, treatments, and care events. Drill down into details with a single click.

Statistics
Infrastructure

Data & Statistics

Robust relational database combining various data sources. Built-in R-Statistics integration for running complex medical-biological analyses.

Board & Collaborators

Developed in collaboration with leading medical institutions and experts in hematology.

South Pest Central Hospital, Budapest
Princess Maxima Center, Utrecht
Semmelweis University, Budapest
Bioinformat-X
Melinda Szegedi

Melinda Szegedi

Researcher / Inventor

POIESY BV, Amsterdam

Zsolt Szegedi MD

Zsolt Szegedi MD

Medical Doctor / Developer

Bioinformat-X

MD

Gergely Kriván MD PhD

Head of Department

Pediatric Hematology, South Pest Central Hospital

Get in Touch

Interested in implementing POIESY in your clinic? Contact us for a consultation or technical demonstration.

Headquarters

POIESY BV
Amsterdam, Netherlands

Development & Research

Bioinformat-X
1136 Budapest, Pannónia u. 7. f.2.

Phone

+36-70-6041666

+36-20-9718250