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McKesson Supports Peer Review and Feedback Learning in Radiology with Conserus Workflow Intelligence

Solution fosters shared learning culture and improved departmental quality assurance

19th December, London.

McKesson announces its support for peer feedback learning and peer review with Conserus Workflow Intelligence™, its vendor-neutral workflow orchestration solution that manages quality and interpretation workflows.  

Following the recent calls for peer review and digital feedback learning*, McKesson is pleased to present Conserus Workflow Intelligence, a fully integrated, vendor-neutral solution. Its intelligent rules engine integrates peer review into a radiologist’s daily practice, and supports a truly educational process by assigning studies that are timely, appropriate and blinded. Each step in the process is automatically documented and the data is available to educate and drive continuous improvement.

“Peer feedback learning and peer review are increasingly being recognised as keys to improving patient care, minimising patient harm, sharing learning from discrepancies, and improving departmental quality assurance,” comments David Howard, Conserus Product Executive, McKesson.

“Our customers are increasingly faced with higher workloads and higher demands for quality. They need solutions that help them meet these demands within their daily workflows and within the parameters of their existing infrastructure,” said David. “Workflow orchestration helps bring consistency to quality processes like peer review and integrate them into clinical operations. New standards in peer feedback call for reviews to be both blind and timely. This type of workflow requires a sophisticated, automated solution that can be adapted to the needs of different facilities.”

Conserus Workflow Intelligence works within the customer’s existing IT environment to help improve resource utilisation and quality. It offers closed loop communications and a deep understanding of the diagnostic imaging space – from the specifics of radiology and cardiology workflows to data sharing and interoperability. Ultimately, Conserus Workflow Intelligence helps provide clinicians with what they need - the right, relevant patient data at the right time – whilst supporting the best practice principles of the Royal College of Radiologists.

“In order to help our customers meet the challenges they are facing, like addressing quality and regulatory issues and helping to improve productivity with intelligent workflow, we are proud to support peer feedback learning and peer review with Conserus Workflow Intelligence,” said David Howard, Conserus Product Executive. “This solution reflects our commitment to addressing the changing healthcare IT market and helping our customers achieve their goal to deliver better patient care.

 

* http://www.auntminnieeurope.com/index.aspx?sec=sup&sub=pac&pag=dis&ItemID=613688


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