Apelon and Instem Partner for Patient Focused Support

Saturday, 29 March 2014

Apelon and Instem Extend Partnership for Patient Focused Clinical Decision Support

Instem Solutions Deployed to Help Manage Electronic Medical Data

Instem, a leading provider of IT solutions to the global early development healthcare market, and Apelon, an international provider of terminology and data interoperability solutions, today announced a further partnership to deploy advanced technology for patient-focused clinical decision support.

Apelon and Instem Scientific (formerly known as BioWisdom) have worked together in previous partnerships, combining Instem’s suite of taxonomic and semantic products and services with Apelon’s vocabulary creation expertise to deliver unique solutions for pharmaceutical R&D and the wider healthcare IT market.

Instem Scientific has helped clients around the world navigate the complex scientific and commercial issues involved in developing successful healthcare products. Acquired by Instem in early 2011, BioWisdom is now an integrated business unit operating as ‘Instem Scientific’.

Most recently, the companies worked together for a large U.S. federal agency to apply novel state-of-the-art language and terminology processing algorithms and processes to extract knowledge from semi-structured text documents. The project demonstrated how a low-cost starting point for knowledge extraction can effectively be achieved. Instem and Apelon generated a large number of actionable, encoded assertions from the source documents, which were curated by expert reviewers to produce a high-quality knowledge base.

The novel Instem technology leverages advanced deterministic algorithms underpinned by a large biomedical ontology, covering all of the key concepts relevant to the healthcare industry. This approach proved singularly adept at discovering a broad range of actionable knowledge. After expert curation and review, the knowledge base is encoded in SNOMED CT (Systematized Nomenclature of Medicine--Clinical Terms) and other controlled vocabularies and used for applications ranging from point-of-care decision support to epidemiologic surveillance and research hypothesis testing.

Instem’s approach provides a valuable tool to help manage the explosion of electronic medical data, which promises better, more efficient care. This project suggests that in order to answer a broad range of hypothetical questions based on free text information, knowledge extraction solutions require substantial complementary infrastructure, including visualization tools such as Instem’s OmniViz™, and a lifecycle approach to data management such as Apelon’s Terminology Asset Management(sm) services.

This blend of Instem technology and Apelon’s scientific management services will allow pharmaceutical organizations around the world to improve care and bottom line profitability through better extraction of data that was previously inaccessible.

"Over the past twenty years we have had the privilege of working on many federal agency informatics projects, traditionally one of most significant venues for testing emerging healthcare information-related processes at scale" said Stephen Coady, Apelon’s President and CEO. "Because work for government organizations is in the public domain, the insights and expertise this work has provided are available for all to consider. We welcome opportunities to share our experience."

"Our work on this project has demonstrated how Instem technology developed for pre-clinical knowledge discovery can be used to build patient-focused clinical decision support," comments Dr. Gordon Baxter, Instem Chief Scientific Officer. "Making existing data more visible and usable has long been a key aspect of our work and we are delighted to be partnering with Apelon again in such an important area."

Apelon is an international clinical informatics company focusing on data standardization and interoperability. Apelon software and professional services helps leading healthcare enterprises, life sciences organizations and government agencies improve the quality, comparability and accessibility of their information.

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About the Author

Jack Bowie