Technical Integrations

This aspect of software development has always particularly fascinated me. A significant part of a system's value is defined by how well it can communicate with other systems: distributed data thus becomes centrally available information.

With the ongoing digitalization, it has become essential to network information from various subsystems, extract it, transfer it, and convert it into an analyzable form. This process is key to moving from "islands of information" to a "connected plant."

See Biophorum.com

Integrations with Laboratory Context

In the laboratory environment, the networking of production and quality data creates a laboratory information system.

By combining the various technical aspects of a product or analyte, we achieve a comprehensive and meaningful overall perspective.


I have already integrated or developed integration concepts for the following systems:

  • Hamilton pipetting robot
  • Tecan Pipetting Robots
  • MIKRON
  • Tecnics Leak Testers
  • OPC/UA
  • Infaimon Computer Vision
  • Sartorius Simca
  • SIMATIC (Siemens)
  • Siemens BGA Rapidlab Interface Service
  • MOXA
  • Navision Financials
  • Oligonucleotide Synthesizers (different types)
  • Peptide Synthesizers (different types)

Healthcare IT & Clinical Systems

During my time in healthcare IT, I contributed to the development and integration of clinical information systems. My work focused on ensuring seamless communication between medical software components and improving clinical workflows.

  • Generic integration of archiving systems — specifically for a project involving the D.3 system by d.velop within MCC.NET.
  • Design and implementation of integrations for various dictation and speech recognition systems into MCC, enabling clinicians to document efficiently:
    • Grundig DIGTA (concept design)
    • Dictanet
    • Kuhlmann MBS Easy
    • Philips SpeechMagic (via MBS Easy)
    • 4voice
  • Integration of Visus PACS (Picture Archiving and Communication System) into a RIS (Radiology Information System) to centralize medical imaging and related patient data.

This work required understanding both the technical constraints of the systems and the clinical workflows, ensuring that the integrations supported healthcare professionals efficiently while maintaining compliance and data integrity.