Reduce the risk of inconsistent semantics

 
SNOMED enables clinicians to communicate clinical information across system and cultural boundaries, and to use clinical information to make healthcare safer and more effective for patients. Inconsistent use of SNOMED defeats these objectives. Terminology/classification management is complex and error prone. It’s difficult to demonstrate the quality of your terminology products. Robert’s experience and understanding of the complexities can help your teams take practical steps to manage these risks.
 
 

What Robert can do for you

  • Consolidate and scale your terminology management operations.

  • Meticulously quality assure your software and digital products.

  • Give your software engineers and architects the help they need.

Experience

  • Introduced to IHTSDO a strategy to develop, over time, a scalable, sustainable terminology ecosystem management platform. The strategy was approved by the General Assembly in October 2016.

  • Between 2005 and 2015, managed a terminology ecosystem centered on SNOMED, with maps to ICD-9/10/11, ICPC-2, CPT, GMDN, and several nursing classifications. Included subsets of SNOMED content for 3rd party standards e.g. DICOM. Worked with clinicians, terminologists and other domain experts, and software engineers, to develop and manage three iterations of the terminology platform to support this, improving, modernizing and scaling through each iteration.

  • Between 2013 and 2016, worked with IHTSDO Content and Collaboration teams to establish a formal Service Management approach to product release management, including a product portfolio for lifecycle management, and product development processes, which spanned content development through delivery via digital download.

  • Responsible for end-to-end quality assurance of SNOMED at IHTSDO. Developed the Release Validation Framework, which is currently in use. Worked with industry experts, terminology teams and researchers to develop innovative approaches to quality management of a large clinical ontology at all stages of development. Coined the term ‘authoring decision support’ -  a way to deliver real time information to optimize terminologists' time, and prevent defects at source.