PHILADELPHIA, July 21, 2018 /PRNewswire/ -- Integrated
speech reporting and diagnostic decision support workflow to be
demonstrated at AHRA 2018
Elsevier, the global information analytics business specializing
in science and health, and part of RELX Group, announced today that
it has entered into an agreement to offer its STATdx®
online radiology diagnostic decision support tool through M*Modal
Fluency for Imaging®, an advanced speech recognition and
workflow management system, to deliver the next generation of
diagnostic decision support. This combined solution will be
demonstrated during the Association of Medical Imaging Management
(AHRA) 2018 annual meeting in Orlando from July
22-25.
STATdx, written by renowned radiologists in each specialty and
widely regarded as the "gold standard" of radiology reference
solutions, increases accuracy and confidence in diagnosing complex
imaging cases and includes more than 4,000 common and complex
diagnoses, 200,000 expert-selected and annotated image examples,
20,000 easily sortable patient cases with cine clips for select
topics and much more.
Elsevier's STATdx received two prestigious awards in 2017.
STATdx received Frost & Sullivan's 2017 North America
Technology Innovation Award. STATdx also received top honors in the
Digital and Online Resources category at the British Medical
Association's awards.
"The STATdx integration with M*Modal will expedite the
diagnostic process by putting together two critical tools in one
place, streamlining the workflow," said Hajo Oltmanns, Senior Vice President and Chief
Commercial Officer, Clinical Solutions, Elsevier. "Radiologists'
reports will not only be more accurate, but this integrated
solution will provide completeness, conformity, usability and
consistency to drive actions and deliver value to the healthcare
provider and, ultimately, the patient."
Currently, medical knowledge is growing at such a rapid pace
that clinicians cannot keep up. Reliable information sources are
not easily accessible, and healthcare providers must rely on
limited sets of information to determine diagnoses. Also, the
content from clinician notes is not always in the correct context,
which can cause confusion and errors in decision-making. This
situation can be resolved by deep workflow integration with
intelligent search that connects radiologists with content in the
appropriate context to make quicker, more confident diagnosis.
Chris Spring, Vice President
Imaging Solutions at M*Modal, added, "The goal of this combined
solution is to drive significantly better detection, interpretation
and classification of disease so that clinicians can make the most
appropriate diagnoses."
To see a demonstration of this solution, please stop by the
M*Modal booth (# 1306) at AHRA July
22-25.
About M*Modal
M*Modal is a leading healthcare technology provider of advanced
clinical documentation solutions, enabling hospitals and physicians
to enrich the content of patient electronic health records (EHR)
for improved healthcare and comprehensive billing integrity. As one
of the largest clinical transcription service providers in the
U.S., with a global network of medical editors, M*Modal also
provides advanced cloud-based Speech Understanding™ technology and
data analytics that enable physicians and clinicians to include the
context of their patient narratives into electronic health records
in a single step, further enhancing their productivity and the
cost-saving efficiency and quality of patient care at the point of
care. For more information, please visit www.mmodal.com, Twitter,
Facebook and YouTube.
About Elsevier
Elsevier is a global information analytics business that helps
institutions and professionals advance healthcare, open science and
improve performance for the benefit of humanity. Elsevier provides
digital solutions and tools in the areas of strategic research
management, R&D performance, clinical decision support and
professional education, including ScienceDirect, Scopus, SciVal,
ClinicalKey and Sherpath. Elsevier publishes over 2,500 digitized
journals, including The Lancet and Cell, 38,000
e-book titles and many iconic reference works, including Gray's
Anatomy. Elsevier is part of RELX Group, a global provider of
information and analytics for professionals and business customers
across industries. www.elsevier.com
Media contact
Christopher Capot
Global Communications
Elsevier
+1-917-704-5174
c.capot@elsevier.com