Time-proven expertise
in the areas of optical microscopy, image analysis and IT

ONCOR Information system for a regional-level oncological service

Controls all aspects of running the regional oncological service

ONCOR is the front-end regional system for managing data, containing detailed information on oncological situation in a region. The solution controls referrals of primary oncological patients with regard to regional diagnostics algorithms. At the same time it highlights choke points, finds delays or omissions in diagnostics, and pinpoints problem locations.


ONCOR includes:

  • Automated workplaces for district oncologists, diagnosticians, personnel from organizational departments, and healthcare officials
  • Integration interfaces with existing healthcare information systems
  • Tools for creating patient referral routes and routing control from primary healthcare units to specialized healthcare institutions
  • Tools for integration with SIAMS products including Medoffice (r), Microscanometer, and Smart Endoscope
  • Detailed reporting module
  • Integration interfaces with Cancer-Register system by P.A. Herzen Moscow Oncology Research Institute


Technological features

  • Use of federal (nsi.rosminzdrav.ru)and regional norms and standards
  • Support of HL7 (EHR and CDA R2), and DICOM industrial standard for data exchange
  • Developed according to GOST 52636-2006 and National electronic health record standard draft
  • Includes APIs for integration with lower-tier systems
  • Cloud-based and cross-platform implementation

Specialized oncological integrated health record

  • Supplied with data from all participants of patient diagnostics, treatment and follow-up care
  • Compatible with federal Cancer Register
  • Designed in compliance with requirements of the Russian Federation Ministry of Health Order no. 135 dated April 19, 1999
  • Allows accumulating data with scientific value, and import information from existing databases


System developer is certified by FSTEC of Russia to develop confidential data protection systems, and perform technical information protection activities

In course of system deployment, servers must be located within the secure network. In order to protect personal data, operator must employ computer equipment of Class 5 or more, intrusion detection and anti-malware solutions of Class 4 or higher, and network firewalls of Class 3 or higher.

Statistics and reporting

  • Generation of analytical reports considering territorial operations, including “Territories with undercounted mortality,” “Territorial distribution of malignant neoplasm morbidity,” “Territories with high share of advanced cancer,” and “Territories with high annual lethality”
  • Patient routing control reports, such as “Routing time report for a period,” “Volume of diagnostics performed for a period,” “List of patients with Stage IV cancer,” “Medical institutions, that referred patients with Stage IV”, “List of patients with diagnostic defects for an institution within a period,” “Medical institutions, that referred patients with diagnostic defects for a period,” “Undocumented referrals for the period”
  • Additional statistics, including “Dynamics of cancer morbidity and mortality,” “Male morbidity structure,” “Female morbidity structure,” “Frequency of morphological verification for diagnosis,” “Cancer patients survivability ratio”, “Cancer-related mortality,” and “Classification of cancer patients”


  • Cloud-based solution minimises implementation and operation costs
  • Creation of a unified information environment for oncological institutions within a region by means of secure data exchange.
  • Transition to specialized oncological electronic health record. Creation of an electronic passport for oncological patient
  • Volume and quality control for diagnostics, treatment, and post-treatment care according to medical standards
  • Control of diagnostics completeness for a patent referred to oncology center allows lowering unproductive strain put upon Center’s equipment and specialists
  • Less biased statistics obtained in conjunction with Cancer-Register system, and better analytics, allowing efficiency analysis for primary oncological institutions with regard to territory