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Case Study
                                      Lehigh Valley Hospital
                                      and Health Network
At a Glance
                                      Uses Analytics to Grow Capacity
Organization
                                      and Improve Patient Flow
Lehigh Valley Hospital                When Lehigh Valley Hospital and        Overwhelmingly, the ideas
and Health Network                    Health Network, in Allentown, Pa.,     focused on work processes
Allentown, Pa.                        was not meeting its capacity goals,    and patient throughput.
– 4th largest cancer program          significant process changes were
  in Pennsylvania                     necessary. By employing analytics      Answers
– Nationally ranked regional          in a healthcare performance            To evaluate the success of these
  heart center                        management solution from               process changes for the capacity
                                      McKesson, Lehigh Valley found          project, Lehigh Valley turned to
– Major teaching facility of          the right combination of process
  Pennsylvania State University                                              McKesson Performance AnalyticsTM,
                                      improvements that would increase       McKesson’s healthcare performance
  Hershey Medical Center              hospital and ED (emergency             management solution suite.
– Level 1 Trauma Center               department) virtual capacity           The health network used the
– Beds: 730                           by decreasing hospital and             solution to integrate and analyze
                                      ED length of stay. As a result,        information from its ED, surgery,
– Medical staff: 1,200 (more          the health network reduced
  than 1,000 board-certified),                                               bed tracking, orders, severity,
                                      ambulance diversion, bed               transfer, ADT and billing systems.
  representing 50+ specialties        turnaround time and ED wait            Using time-stamped activity data,
– Inpatient visits per year: 42,000   times, while boosting admissions.      the organization determined
– ED visits per year: 100,000                                                how long a patient waited to be
                                      Challenges                             triaged, registered, admitted to
Solution Spotlight                    Lehigh Valley was faced with           an emergency bed, treated by the
                                      increased demand for services and      physician, and discharged either
– McKesson Performance                an inability to manage its capacity.   to the home or to hospital care.
  AnalyticsTM                         Operating rooms were put
                                      on hold, and transfer patients         By linking granular clinical data
Critical Issues                       were being turned away —               to the detailed financial data,
– Rising patient demand               yet admissions were below              Lehigh Valley examined not only the
  for emergency services              the health system’s goal.              duration and sequence of clinical
                                                                             events but also the costs associated
– High rate of ambulance              Recognizing the systemic nature        with those events down to the
  diversions                          of the problem, executives at          individual patient level. In addition,
– Long inpatient bed turnaround       Lehigh Valley sought to identify       Lehigh Valley examined other
                                      throughput inefficiencies to find      sources of lost business, such as
                                      ways to expand capacity. During        hours on ED divert status, the
Results                               a management retreat, managers         number of patients leaving without
– Met capacity demands despite        were challenged to generate ideas      being seen, transfer center denials
  growth                              to help solve the organization’s       and operating room holds.
– Reduced ambulance diversions        capacity problems. A newly
  by more than 80%                    formed capacity task force             Armed with integrated care delivery
                                      formulated and prioritized             information, Lehigh Valley initiated
– Reduced ED wait times by            more than 1,000 ideas to address       more than 50 interventions across
  23.5%                               the capacity issues.                   all three campuses. To monitor
– Reduced bed turnaround time
  from an average of 210 minutes
  per bed to an average of
  60 minutes per bed
Case Study


“McKesson Performance            progress, the health network                           “Using analytics, we are able to drill
                                 created a capacity scorecard                           down to discharge orders placed
Analytics helps us turn data     using the customizable business                        before 11 a.m., between 11 a.m.
into actionable information to   intelligence system in McKesson                        and 2 p.m., and after 2 p.m.”
                                 Performance Analytics to provide
define the problems, develop     easy, secure and timely access to                      The network can also drill down to
                                 financial, clinical and operational                    see discharge orders by physician,
the solution and monitor         information, as well as role-based                     physician group and hospital site.
the solution’s effectiveness.”   dashboards. The scorecard includes                     “We use that information to
                                 indicators for volume, length of                       provide resources to physicians
                                 stay, ED patient flow/demand,                          to meet the goal of discharging
                                 operating room (OR) holds in                           patients before 11 a.m. so that
David Richardson, MD, FACEP      minutes, transfer center acceptance                    the bed can be freed for the next
Associate Vice-Chair             rates, bed turnaround times and                        admission,” explains Dr. Richardson.
                                 discharges before 11 a.m.                              “McKesson Performance Analytics
Department of Emergency                                                                 helps us turn data into actionable
                                 Results                                                information to define the problems,
Medicine                                                                                develop the solution and monitor
                                 The capacity project allowed
Lehigh Valley Hospital           Lehigh Valley to meet the                              the solution’s effectiveness.”
                                 community’s need for services
and Health Network               despite unprecedented annual                           According to Courtney Vose, RN,
                                 growth rates of 6.2% and 5.3%                          director of emergency services,
                                 over two years. By implementing                        having easy access to evidence-
                                 process improvements driven                            based performance data allows
                                 by clinical and financial data,                        the emergency department to
                                 Lehigh Valley reduced ambulance                        objectively examine its processes
                                 diversions by more than 80%,                           and flexibly adjust to changing
                                 reduced ED wait times by 23.5%,                        needs. “I am able to drill down
                                 and reduced bed turnaround time                        to the exact time of day or
                                 from an average of 210 minutes                         exact patient population where
                                 per bed to an average of 60 minutes                    throughput times were slow or
                                 per bed.                                               ideal,” says Vose. “This information
                                                                                        helps us to adjust staffing needs,
                                 “The goal is to discharge patients                     re-educate the staff about processes
                                 within two hours of the discharge                      put into place, and to plan for
                                 order,” explains David Richardson,                     the future.”
                                 MD, FACEP, associate vice-chair,
                                 Department of Emergency Medicine.




McKesson Provider Technologies
                                 Copyright © 2009 McKesson Corporation and/or one of its subsidiaries. All rights reserved. McKesson
5995 Windward Parkway            Performance Analytics is a trademark of McKesson Information Solutions LLC. All other product or company
Alpharetta, GA 30005             names mentioned may be trademarks, service marks or registered trademarks of their respective companies.
                                 PRT219-02/09

http://www.mckesson.com
1.800.981.8601

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Lehigh Valley Hospital and Health Network Uses Analytics to Grow Capacity and Improve Patient Flow

  • 1. Case Study Lehigh Valley Hospital and Health Network At a Glance Uses Analytics to Grow Capacity Organization and Improve Patient Flow Lehigh Valley Hospital When Lehigh Valley Hospital and Overwhelmingly, the ideas and Health Network Health Network, in Allentown, Pa., focused on work processes Allentown, Pa. was not meeting its capacity goals, and patient throughput. – 4th largest cancer program significant process changes were in Pennsylvania necessary. By employing analytics Answers – Nationally ranked regional in a healthcare performance To evaluate the success of these heart center management solution from process changes for the capacity McKesson, Lehigh Valley found project, Lehigh Valley turned to – Major teaching facility of the right combination of process Pennsylvania State University McKesson Performance AnalyticsTM, improvements that would increase McKesson’s healthcare performance Hershey Medical Center hospital and ED (emergency management solution suite. – Level 1 Trauma Center department) virtual capacity The health network used the – Beds: 730 by decreasing hospital and solution to integrate and analyze ED length of stay. As a result, information from its ED, surgery, – Medical staff: 1,200 (more the health network reduced than 1,000 board-certified), bed tracking, orders, severity, ambulance diversion, bed transfer, ADT and billing systems. representing 50+ specialties turnaround time and ED wait Using time-stamped activity data, – Inpatient visits per year: 42,000 times, while boosting admissions. the organization determined – ED visits per year: 100,000 how long a patient waited to be Challenges triaged, registered, admitted to Solution Spotlight Lehigh Valley was faced with an emergency bed, treated by the increased demand for services and physician, and discharged either – McKesson Performance an inability to manage its capacity. to the home or to hospital care. AnalyticsTM Operating rooms were put on hold, and transfer patients By linking granular clinical data Critical Issues were being turned away — to the detailed financial data, – Rising patient demand yet admissions were below Lehigh Valley examined not only the for emergency services the health system’s goal. duration and sequence of clinical events but also the costs associated – High rate of ambulance Recognizing the systemic nature with those events down to the diversions of the problem, executives at individual patient level. In addition, – Long inpatient bed turnaround Lehigh Valley sought to identify Lehigh Valley examined other throughput inefficiencies to find sources of lost business, such as ways to expand capacity. During hours on ED divert status, the Results a management retreat, managers number of patients leaving without – Met capacity demands despite were challenged to generate ideas being seen, transfer center denials growth to help solve the organization’s and operating room holds. – Reduced ambulance diversions capacity problems. A newly by more than 80% formed capacity task force Armed with integrated care delivery formulated and prioritized information, Lehigh Valley initiated – Reduced ED wait times by more than 1,000 ideas to address more than 50 interventions across 23.5% the capacity issues. all three campuses. To monitor – Reduced bed turnaround time from an average of 210 minutes per bed to an average of 60 minutes per bed
  • 2. Case Study “McKesson Performance progress, the health network “Using analytics, we are able to drill created a capacity scorecard down to discharge orders placed Analytics helps us turn data using the customizable business before 11 a.m., between 11 a.m. into actionable information to intelligence system in McKesson and 2 p.m., and after 2 p.m.” Performance Analytics to provide define the problems, develop easy, secure and timely access to The network can also drill down to financial, clinical and operational see discharge orders by physician, the solution and monitor information, as well as role-based physician group and hospital site. the solution’s effectiveness.” dashboards. The scorecard includes “We use that information to indicators for volume, length of provide resources to physicians stay, ED patient flow/demand, to meet the goal of discharging operating room (OR) holds in patients before 11 a.m. so that David Richardson, MD, FACEP minutes, transfer center acceptance the bed can be freed for the next Associate Vice-Chair rates, bed turnaround times and admission,” explains Dr. Richardson. discharges before 11 a.m. “McKesson Performance Analytics Department of Emergency helps us turn data into actionable Results information to define the problems, Medicine develop the solution and monitor The capacity project allowed Lehigh Valley Hospital Lehigh Valley to meet the the solution’s effectiveness.” community’s need for services and Health Network despite unprecedented annual According to Courtney Vose, RN, growth rates of 6.2% and 5.3% director of emergency services, over two years. By implementing having easy access to evidence- process improvements driven based performance data allows by clinical and financial data, the emergency department to Lehigh Valley reduced ambulance objectively examine its processes diversions by more than 80%, and flexibly adjust to changing reduced ED wait times by 23.5%, needs. “I am able to drill down and reduced bed turnaround time to the exact time of day or from an average of 210 minutes exact patient population where per bed to an average of 60 minutes throughput times were slow or per bed. ideal,” says Vose. “This information helps us to adjust staffing needs, “The goal is to discharge patients re-educate the staff about processes within two hours of the discharge put into place, and to plan for order,” explains David Richardson, the future.” MD, FACEP, associate vice-chair, Department of Emergency Medicine. McKesson Provider Technologies Copyright © 2009 McKesson Corporation and/or one of its subsidiaries. All rights reserved. McKesson 5995 Windward Parkway Performance Analytics is a trademark of McKesson Information Solutions LLC. All other product or company Alpharetta, GA 30005 names mentioned may be trademarks, service marks or registered trademarks of their respective companies. PRT219-02/09 http://www.mckesson.com 1.800.981.8601