Technology | Clinical Decision Support | December 09, 2015

eQHealth Solutions Chooses McKesson’s InterQual for Clinical Decision Support

InterQual evidence-based criteria will support eQHealth’s high-quality care coordination and utilization review

December 9, 2015 — eQHealth Solutions, a non-profit healthcare technology and population health management company, has signed a long-term agreement to continue its use of McKesson’s InterQual and CareEnhance Review Manager. eQHealth will use InterQual evidence-based clinical criteria for its state Medicaid contracts in Florida, Illinois, Mississippi and Colorado, in addition to its other commercial lines.

The InterQual Level of Care criteria suite, Behavioral Health criteria suite and InterQual Care Planning procedures, imaging and molecular diagnostics criteria will continue to assist eQHealth in reducing costs and improving care quality. The organization uses InterQual to address the reduction of readmissions, lengths of stay (LOS) and services with integrated tools for complex and comorbid cases.

eQHealth Solutions provides services such as information technology, chronic care management, utilization review and high-quality care coordination throughout the nation, serving government clients and other entities.

InterQual evidence-based criteria help improve clinical decision-making across the medical and behavioral health continuums of care. The InterQual clinical development team synthesizes the most current, best evidence into a fully referenced decision support tool that is reviewed and updated annually. InterQual’s development process is founded on rigorous review of the literature, and includes extensive peer review by practicing clinical experts across the United States.

For more information: www.mckesson.com

Related Content

FDA Clears Bay Labs' EchoMD AutoEF Software for AI Echo Analysis
Technology | Cardiovascular Ultrasound | June 19, 2018
Cardiovascular imaging artificial intelligence (AI) company Bay Labs announced its EchoMD AutoEF software received 510(...
News | Remote Viewing Systems | June 14, 2018
International Medical Solutions (IMS) recently announced that the American College of Radiology (ACR) added IMS'...
Wake Radiology Launches First Installation of EnvoyAI Platform
News | Artificial Intelligence | June 13, 2018
Artificial intelligence (AI) platform provider EnvoyAI recently completed their first successful customer installation...
How AI and Deep Learning Will Enable Cancer Diagnosis Via Ultrasound

The red outline shows the manually segmented boundary of a carcinoma, while the deep learning-predicted boundaries are shown in blue, green and cyan. Copyright 2018 Kumar et al. under Creative Commons Attribution License.

News | Ultrasound Imaging | June 12, 2018 | Tony Kontzer
June 12, 2018 — Viksit Kumar didn’t know his mother had...
Zebra Medical Vision Unveils AI-Based Chest X-ray Research
News | Artificial Intelligence | June 08, 2018
June 8, 2018 — Zebra Medical Vision unveiled its Textray chest X-ray research, which will form the basis for a future
Konica Minolta Launches AeroRemote Insights for Digital Radiography
Technology | Analytics Software | June 07, 2018
Konica Minolta Healthcare Americas Inc. announced the release of AeroRemote Insights, a cloud-based, business...
Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Sponsored Content | Case Study | Artificial Intelligence | June 05, 2018
The power to predict a cardiac arrest, support a clinical diagnosis or nudge a provider when it is time to issue medi
How image sharing through a health information exchange benefits patients while saving time and money is depicted in this slide shown at HIMSS 2018. Graphic courtesy of Karan Mansukhani.

How image sharing through a health information exchange benefits patients while saving time and money is depicted in this slide shown at HIMSS 2018. Graphic courtesy of Karan Mansukhani.

Feature | Information Technology | June 05, 2018 | By Greg Freiherr
A regional image exchange system is saving lives and reducing radiology costs in Maryland by improving the efficiency
Using Imaging Analytics for Radiology, VCU Health in Richmond, Va., has developed a dashboard to view turnaround time analysis. This functionality allows drill down for each technologist and radiologist and looks at the different steps of the imaging cycle.

Using Imaging Analytics for Radiology, VCU Health in Richmond, Va., has developed a dashboard to view turnaround time analysis. This functionality allows drill down for each technologist and radiologist and looks at the different steps of the imaging cycle.

Sponsored Content | Case Study | Information Technology | June 05, 2018
Sharon Gibbs, director of the radiology department at VCU Health in Richmond, Va., aims to provide quality, timely and...
Overlay Init