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Success with IT for workflow management at Danbury Hospital

Healthcare News | 2013-04-18

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Danbury Hospital, a 371-bed regional medical center and university teaching hospital in the Western Connecticut Health Network, uses Soarian® Clinicals workflow technology to help its clinical teams follow guidelines for certain interventions recommended by the Centers for Disease Control and other organizations. This article highlights two workflows that have contributed to measurable improvements at Danbury: a urinary catheter workflow and an immunization/pneumonia vaccination workflow.

The hospital’s Nursing Workflow committee, comprised of staff and leadership, designed the first workflow to help ensure the removal of indwelling Foley urinary catheters within 48 hours of insertion. As of October 2011, Danbury’s clinical teams achieved a timely catheter removal rate of 97%, which compares favorably to the state of Connecticut’s 91% rate.

The urinary catheter workflow helps clinicians monitor a physician’s catheter order and how long the device has been in place, based on the documented date and time of insertion.

Danbury achieved comparable success with its use of an immunization/pneumonia vaccination workflow, which supports the administration of the pneumococcal/influenza vaccination for those patients who meet the organization’s pre-defined criteria and accept the vaccination. As of January 2012, Danbury met its goal of 100% compliance to its protocol for vaccine administration.

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“Our use of Siemens technology is one aspect of an overall strategy to improve performance,” says Moreen Donahue, DNP, RN, NEA-BC, FAAN, Chief Nursing Officer and Sr. Vice President of Patient Care Services at Danbury Hospital. “Combining both technology and well-defined clinical processes has supported us in making a positive impact on the quality and safety of the care delivery we provide our patients.”

The outcomes achieved by the Siemens customer described herein were achieved in the customer’s unique setting. Since there is no “typical” hospital and many variables exist (hospital size, case mix, level of IT adaption, etc), there can be no guarantee that others will achieve the same result.

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