dbMotion and CAP STS Team to Realize Vision of Advanced Interoperability

dbMotiondbMotion, a provider of health interoperability and intelligence solutions, and SNOMED Terminology Solutions™(STS), a division of the College of American Pathologists (CAP), and a leading organization in offering customized, best-practice terminology implementation and education services, today announced a partnership aimed at delivering a solution that enables their clients to reach the highest levels of interoperability and raises the industry's bar for advanced interoperability. This solution aims to define a semantic health information exchange (HIE) ontology based on SNOMED Clinical Terms® (SNOMED CT®) for clinical vocabularies that is essential for achieving semantic interoperability.

"This joint development enhances the ability of the dbMotion platform's applications and services to make use of the 'true' meaning of interoperable shared information that in turn empowers healthcare teams and enhances clinical workflows," said Ziv Ofek, founder and chief technology officer of dbMotion.

The dbMotion™ Solution is a proven SOA-based platform that enables healthcare organizations and exchanges to meaningfully integrate and leverage their information assets, driving improvements in the quality, safety and efficiency of patient care. dbMotion transforms care through the creation of a virtual patient record that logically connects patient information in existing systems without requiring their replacement. By providing access to integrated patient information the solution connects care settings, bridging gaps that often exist between inpatient/acute care and community care, and demonstrates a compelling return on investment (ROI).

"Working with dbMotion fulfills our long-time objective of finding a partner that complements our in-depth expertise in ontologies and vocabularies," said Kevin Donnelly, vice president and general manager for CAP STS. "We believe the company’s unique vision for semantic interoperability and proven experience coupled with a shared academic and theoretical approach makes for a perfect match that will transform healthcare."

CAP is the original creator of SNOMED CT® - a globally recognized controlled medical vocabulary - and has a 40-year history of dedicated development to terminology and healthcare. CAP STS focuses on consulting, education, and other services related to SNOMED CT and other terminologies and classifications where SNOMED is often used collaboratively. CAP STS' customized services, such as terminology implementation and content development, education and training, and structured reporting, assist the global healthcare community in achieving interoperability through the standardization of data in electronic health applications and systems.

"CAP STS has helped develop health IT standards for many years, standards that have been validated and endorsed throughout the industry," said Ofek. "Through our work with CAP STS, we will be able to bring new depth and applications for clinical terminologies, which will ultimately provide invaluable solutions for the healthcare community."

Related news articles:

About dbMotion
dbMotion is an innovative provider of health interoperability and intelligence solutions. It develops and markets the dbMotion™ Solution, a proven SOA-based platform that enables healthcare organizations and exchanges to meaningfully integrate and leverage their information assets, driving improvements in the quality, safety and efficiency of patient care. dbMotion transforms care through the creation of a virtual patient record that logically connects patient information in existing systems without requiring their replacement. By providing access to integrated patient information the solution connects care settings, bridging gaps that often exist between inpatient/acute care and community care, and demonstrates a compelling return on investment (ROI). For more information about dbMotion visit www.dbmotion.com.

About SNOMED Terminology Solutions and the College of American Pathologists
SNOMED Terminology Solutions™ (STS), a division of the College of American Pathologists (CAP), is the leading organization in pursuing semantic interoperability for electronic health records by offering customized, best-practice terminology implementation and education services. CAP is the original creator of SNOMED Clinical Terms® (SNOMED CT®) and has fostered its development for more than 40 years. CAP STS continues to develop and maintain SNOMED CT on behalf of the International Health Terminology Standards Development Organisation (IHITSDO®). CAP STS works with clients nationally and internationally; these clients include provider organizations, HIT vendors, universities, research centers, and government agencies. The College of American Pathologists (CAP) is a not-for-profit medical society serving more than 17,000 physician members and the laboratory community throughout the world. It is the world’s largest association composed exclusively of pathologists and is widely considered the leader in laboratory quality assurance. For more information about SNOMED Terminology Solutions and the College of American Pathologists visit www.capsts.org, www.cap.org.

SNOMED CT® is a copyrighted work of the International Health Terminology Standards Development Organisation. ©2002-2008 International Health Terminology Standards Development Organisation (IHTSDO®). All rights reserved. SNOMED CT® was originally created by the College of American Pathologists. "SNOMED", "SNOMED CT", and IHTSDO are registered trademarks of the IHTSDO. All other trademarks used in this document are the property of their respective owners.

Most Popular Now

AI for Real-Rime, Patient-Focused Insigh…

A picture may be worth a thousand words, but still... they both have a lot of work to do to catch up to BiomedGPT. Covered recently in the prestigious journal Nature...

New Research Shows Promise and Limitatio…

Published in JAMA Network Open, a collaborative team of researchers from the University of Minnesota Medical School, Stanford University, Beth Israel Deaconess Medical Center and the University of Virginia studied...

G-Cloud 14 Makes it Easier for NHS to Bu…

NHS organisations will be able to save valuable time and resource in the procurement of technologies that can make a significant difference to patient experience, in the latest iteration of...

Hampshire Emergency Departments Digitise…

Emergency departments in three hospitals across Hampshire Hospitals NHS Foundation Trust have deployed Alcidion's Miya Emergency, digitising paper processes, saving clinical teams time, automating tasks, and providing trust-wide visibility of...

Start-Ups will Once Again Have a Starrin…

11 - 14 November 2024, Düsseldorf, Germany. The finalists in the 16th Healthcare Innovation World Cup and the 13th MEDICA START-UP COMPETITION have advanced from around 550 candidates based in 62...

MEDICA HEALTH IT FORUM: Success in Maste…

11 - 14 November 2024, Düsseldorf, Germany. How can innovations help to master the great challenges and demands with which healthcare is confronted across international borders? This central question will be...

A "Chemical ChatGPT" for New M…

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model - a kind of...

Siemens Healthineers co-leads EU Project…

Siemens Healthineers is joining forces with more than 20 industry and public partners, including seven leading stroke hospitals, to improve stroke management for patients all over Europe. With a total...

MEDICA and COMPAMED 2024: Shining a Ligh…

11 - 14 November 2024, Düsseldorf, Germany. Christian Grosser, Director Health & Medical Technologies, is looking forward to events getting under way: "From next Monday to Thursday, we will once again...

In 10 Seconds, an AI Model Detects Cance…

Researchers have developed an AI powered model that - in 10 seconds - can determine during surgery if any part of a cancerous brain tumor that could be removed remains...

Does AI Improve Doctors' Diagnoses?

With hospitals already deploying artificial intelligence to improve patient care, a new study has found that using Chat GPT Plus does not significantly improve the accuracy of doctors' diagnoses when...

AI Analysis of PET/CT Images can Predict…

Dr. Watanabe and his teams from Niigata University have revealed that PET/CT image analysis using artificial intelligence (AI) can predict the occurrence of interstitial lung disease, known as a serious...