Bringing disparate systems together

While computers and the internet have provided us with new tools for exchanging data between healthcare professionals, timely access to all relevant information pertaining to a particular patient remains a challenge.

Patient history and treatment details tend to be scattered across several systems, and there is often no clear-cut path for obtaining access to the latest and most trustworthy information. 

Data sharing must be seamless across organisation and system boundaries, and access privileges must be managed across multiple groups of stakeholders including patients, general practitioners, hospitals, and further organisations in the extended healthcare delivery ecosystem.

Your organisation is part of a logistical network

MODA + MODE (Model Oriented Domain Analysis and Engineering) provide advanced techniques semantic system integration and modular solution design.

A logistical network

Model Oriented Domain Analysis and Engineering offers a systematic approach for:

  • Translating the tacit knowledge, which often resides within the heads of domain experts, or which is sometimes buried in difficult-to-maintain software code, into explicit knowledge that does not decay over time.
  • Integrating the knowledge of multiple domain experts in a cross-disciplinary context, and addressing the challenges of conflicting notations and terminologies.
  • Streamlining the end-to-end new system integration process.
  • Creating advanced automation solutions that often lead to severalfold improvements in quality, reliability, and productivity.

Our track record

Our team has worked with federal and state government health departments in Australia to improve the speed and accuracy of the health informatics standard specification and reference software implementation publication process.

  • Our model-based tooling revealed possible gaps between requirements, specifications and software which previously needed days or weeks of expert testing and clinical safety analysis using text-only artefacts.
  • Critical flaws in open source tooling were corrected and contributed back to the international health informatics standards community.
  • S23M was able to reveal the power of automatically generated traces between models using formal model transformations, merged with human-documented correspondences. A demonstration SaaS tool showed appropriate role-based views of the end-to-end process to management, business analysts, clinical safety experts, information modellers and specifiers, and software developers.

When S23M’s Cell Platform technology is used to integrate distributed systems, data quality challenges can be reduced significantly, and as a result, the number of mistakes in diagnostics and patient care can be reduced correspondingly.