News | October 20, 2009

GE to Launch Decision Support Pilot at Intermountain

October 21, 2009 - GE Healthcare launched a new solution that puts clinical data and treatment practices in the hands of doctors and clinicians in real-time so that they can make informed decisions right at the point of care.

Developed with Intermountain Healthcare and drawing on its three decades of clinical informatics experience, this computerized decision support solution helps doctors focus on making treatment decisions based on best practices – thereby helping to improve patient outcomes and efficiency in the clinic, ultimately helping to reduce costs. The pilot launches at Intermountain in November and GE will unveil the full solution at the March meeting of the Healthcare Information Management and Systems Society (HIMSS).

Driven by technology that enables advanced decision support through collaborations with leading medical institutions, including Intermountain Healthcare and Mayo Clinic, the solution enables even the smallest and most remote healthcare organizations and clinicians to evaluate their current approach to patient care against constantly evolving clinical practice standards. The end result is that patients everywhere may benefit from current treatment options. Prior to this development, the flow of information from "bench to bedside" through traditional means of medical journal publication, continuing education classes and symposia, could take upwards of 17 years1.

"Using information technology and data to help clinicians and hospitals provide excellent and efficient care is a cornerstone of GE’s healthymagination initiative to help increase quality and access to healthcare while aiding cost reduction," said Vishal Wanchoo, president and CEO of GE Healthcare IT. "This decision support solution gives doctors the information they need at their finger tips, as they need it, to aid in making informed treatment decisions. Connecting them to proven, research-driven decision support can help improve patient care and save time and money."

This technology provides customers with the ability to evaluate patient care against quality measures such as those identified by the Centers for Medicare and Medicaid Services (CMS) for a variety of health conditions. Once these practices are made available within the system, they can be shared across the health system, enabling community hospitals access to the same evidence-based practices as the world’s largest institutions and academic medical centers.

This technology is designed to enable real-time clinical review by capturing vital data from electronic medical records for many patients within a hospital unit on a single screen that signals variation from accepted practice standards, which can cost hospitals and patients both time and money — and sometimes lives. The ability for clinicians to quickly recognize any early warning signs on a single, easy to read, user-friendly screen can help improve efficiency in a hospital, and speed diagnosis and treatment of patients.

[1] Balas & Boren, 2000.

For more information: www.gehealthcare.com

Related Content

CareSelect Declared Fully Qualified Clinical Decision Support Mechanism by CMS
News | Clinical Decision Support| July 18, 2017
National Decision Support Company announced the full qualification of its CareSelect Platform as a Qualified Clinical...
CMS Proposes Delaying Clinical Decision Support Documentation to 2019
News | Clinical Decision Support| July 14, 2017 | Jeff Zagoudis, Associate Editor
In a series of proposed rule changes to the Medicare Physician Fee Schedule (MPFS) released July 13, the Centers for...
Sponsored Content | Videos | Clinical Decision Support| June 29, 2017
Rami Doukky, M.D., system chair, Division of Cardiology, professor of medicine, Cook County Health and Hospitals Syst
Partners HealthCare and GE Healthcare Launch 10-year Collaboration on Artificial Intelligence
News | Artificial Intelligence| May 17, 2017
May 17, 2017 — Partners HealthCare and GE Healthcare announced a 10-year collaboration to rapidly develop, validate a
Siemens Healthineers Supports Population Health Management With Planned Acquisition of Medicalis
News | Clinical Decision Support| April 19, 2017
Siemens Healthineers plans to expand its Population Health Management (PHM) portfolio with the acquisition of Medicalis...

Physicians will need to use a CMS-certified appropriate use criteria (AUC) clinical decision support software that documents the appropriateness of an imaging order to receive full reimbursement for Medicare patients starting Jan. 1, 2018.

Feature | Cardiac Imaging| April 18, 2017 | Dave Fornell
As part of U.S. healthcare reform efforts, starting Jan.
ACR Appropriateness Criteria, update, new topics, medical imaging, AUC, American College of Radiology
News | Clinical Decision Support| April 03, 2017
The newest release of American College of Radiology (ACR) Appropriateness Criteria covers 230 topics with more than 1,...
ECRI Institute, top 10 patient safety concerns, 2017 report, information technology, healthcare
News | Information Technology| March 24, 2017
Safe implementation of new technologies and therapies accompany classic patient safety challenges on ECRI Institute's “...
iFR, iFR vs. FFR, ACC late breaking trial, iFR-SWEDEHEART, DEFINE-FLAIR, Justin E. Davies,

Matthias Götberg, principal investigator for the iFR-SWEDEHEART study, and Justin E. Davies, lead investigator for the DEFINE-FLAIR trial, share key points of their study with DAIC editor Dave Fornell at ACC.17. The trials showed iFR is equal in outcomes to FFR in assessing coronary lesions. 

Feature | FFR Catheters| March 20, 2017
March 20, 2017 — For patients experiencing angina (chest pain) or a heart attack, instantaneous wave-free ratio (iFR)
AI, deep learning, artificial intelligence, medical imaging, cardiology, echo AI, clinical decision support, echocardiography

An example of artificial intelligence from the start-up company Viz. The image shows how the AI software automatically reviews an echocardiogram, completes an automated left ventricular ejection fraction quantification and then presents the data side by side with the original cardiology report. The goal of the software is to augment clinicians and cardiologists by helping them speed workflow, act as a second set of eyes and aid clinical decision support.

Feature | Artificial Intelligence| March 10, 2017 | Dave Fornell
Artificial intelligence (AI) has captured the imagination and attention of doctors over the past couple years as seve
Overlay Init