Picis today announced agreements with six major health systems in the United States and Canada to replace their existing operating room (OR) and anesthesia information systems (AIS) with Picis’ solutions. These leading institutions consist of Bellevue Hospital Center in New York City, Enloe Medical Center and Salinas Valley Memorial Healthcare of California, The Ottawa Hospital of Ontario, Tufts Medical Center in Boston, Mass., and University Health System, San Antonio, Tex.
“We believe that Picis continues to be the system of choice for hospitals that want to automate their entire perioperative suite,” said Todd Cozzens, CEO and vice chairman at Picis. “Today’s operating room is expected to be the most efficient and highest revenue producing department of the hospital, yet it is also where patient safety is at highest risk. The leading health systems cannot afford to compromise with systems that do just the basics. The environment today is too demanding, and that’s why more health providers choose Picis than any other system.”
Highlights include:
— Bellevue Hospital Center, New York
Bellevue Hospital Center (BHC), the largest city hospital in the United States and part of New York Health and Hospitals, one the largest integrated delivery networks on the East Coast consisting of more than 20 sites. BHC selected Picis to automate care across a patient’s perioperative experience from preoperative documentation to surgery and post anesthesia care unit (PACU)/recovery. The hospital plans to replace two legacy, disparate OR management and anesthesia systems (Drager Medical and Mediware Information Systems, Inc.) with Picis’ total perioperative automation capability. This agreement supports Picis’ already strong hold in the large academic hospital market in New York City, which already includes clients from prestigious medical centers such as New York-Presbyterian Hospital, Mount Sinai Hospital and Montefiore Health System. Bellevue Hospital Center plans to implement the complete Picis total perioperative automation suite including OR Manager, Anesthesia Manager, Preop Manager, PACU Manager, Quality Manager, SmarTrack(R), and Extelligence(R), all key components of the CareSuite family of high-acuity solutions.
— Enloe Medical Center, California
Enloe Medical Center, which serves more than 400,000 residents in a six-county region in Northern California, selected Picis Anesthesia Manager to automate its anesthesia care continuum and provide integration capabilities with its Medical Information Technology, Inc. (Meditech) clinical system.
— Salinas Valley Memorial Hospital, California
Salinas Valley Memorial Hospital (SVMH), a 269-bed acute care hospital in California, is upgrading its existing Picis medSURG information system to coincide with the hospital information system upgrade to the Meditech client/server platform. In addition, SVMH has added anesthesia and PACU documentation automation with Picis to replace a legacy anesthesia product and provide seamless integration specifically between the OR nursing records and anesthesia, and also between anesthesia and PACU. This capitalizes on Picis’ proven interoperability with the Meditech information system for end-to-end clinical interoperability.
— The Ottawa Hospital, Ontario
The Ottawa Hospital (TOH) is one of the largest teaching hospitals in Canada and an existing Picis customer. TOH has extended its highly successful OR Manager implementation toward total perioperative automation, replacing disparate systems with Picis anesthesia information management and PACU modules to improve continuity of care.
— Tufts Medical Center
Tufts Medical Center, a 451-bed world-class academic medical center and the principal teaching hospital for Tufts University School of Medicine, has selected Picis as part of an initiative to improve the organizational capability of its operating rooms and to put tools in place to tighten operations. Surgery is a core part of the Tufts Medical Center business, and Picis OR Manager, SmarTrack and Extelligence are designed to help them optimize their business efficiency.
— University Health System, San Antonio
University Health System, (UHS), a multi-facility organization with 404 licensed beds, is one of the most prestigious healthcare systems in South Texas. UHS recently selected Picis Anesthesia Manager, Preop Manager and Extelligence modules for total perioperative automation. To help maximize the efficiency and effectiveness of this technology, UHS also plans to use Optimization Services, part of Picis’ Business Transformation Services, in which experienced consultants work closely with UHS staff to identify specific goals and focus their use of the technology to fully reach the automated system’s potential, while implementing “best practices.”
About Picis
Picis is a global provider of innovative information solutions that enable rapid and sustained delivery of clinical, financial and operational results in the acute care areas of the hospital. These high-acuity areas include the emergency department, operating and recovery rooms, and intensive care units. Picis offers the most advanced suite of integrated products focused on these life-critical areas of the hospital where the patients are the most vulnerable, the care process is the most complex and an increasing majority of hospital costs and potential revenue are concentrated. Headquartered in Wakefield, Massachusetts, Picis has licensed systems for use in more than 1,700 hospitals in 19 countries. More information is available at www.picis.com.
Picis, CareSuite, SmarTrack and Extelligence are registered trademarks of Picis, Inc. (C) 2008 Picis, Inc. All rights reserved. All other trademarks mentioned herein are the properties of their respective owners. This press release contains express or implied forward-looking statements relating to, among other things, Picis’ expectations concerning the functionality, expected performance and market acceptance of its products. These statements are neither promises nor guarantees, but are subject to a variety of risks and uncertainties, many of which are beyond Picis’ control, which could cause actual results to differ materially from those contemplated in these forward-looking statements.
Comments