How will Healthcare Reform Impact Reengineering Strategies to Transform Healthcare Delivery? Learning from Experience Presents: David Belson, PhD, Editor-in-Chief, Journal Society of Healthcare Improvement Professionals & Imran Chaudhry, FACHE, Regional Executive, Operational Excellence, Providence Health & Services Speaker’s Profile Imran Chaudhry Imran Chaudhry is the Regional Director of the Operational Excellence and Project Management Offices for Providence Health and Services, southern California. He is responsible for providing the overall leadership for the deployment and execution of the Lean, Six Sigma, Change Management and Project Management methodologies across the Providence southern California hospitals. Dr. David Belson David Belson, Ph.D. has helped dozens of hospitals and clinics improve their productivity. He applies his background of over 30 years as a professor in Industrial Engineering. He has developed classes on improving healthcare operations and written articles regarding Lean and other methods for radiology, surgery, emergency departments and other hospital functions. He has initiated research projects funded by the California HealthCare Foundation as well as the federal and California governments. Measure 20 % QXA=R Co n 2 20 % 20 % tro l ov pr 15 % Im ze 20 % Analy De fin e 20 % e “Insanity is continuing to do things the way you’ve always done them and expecting the results to be different.” Albert Einstein Measure 20 % QXA=R Co n 3 20 % 20 % tro l ov pr 15 % Im ze 20 % Analy De fin e 20 % e About Providence Health and Services • Not-for-Profit faith based healthcare organization • 2nd largest healthcare provider in the Los Angeles County • 9th largest employer in Los Angeles County • 700 licensed beds in the region • 12000+ Employees and Medical Staff Members • 2.7 Million Uninsured people in the county Co n 4 20 % QXA=R 20 % 20 % tro l ov pr 15 % Im ze 20 % 20 % Analy De fin e Measure e History of Six Sigma and Lean 1970’s 1986 1990’s Toyota Production System…”Lean” Bill Smith originated Six Sigma as a metric GE and AlliedSignal (Radical changes in 2003 Providence California products and services) Lean Six Sigma 1980’s 1988 2002 Rolled out in Motorola Malcolm Baldridge National Quality Award Providence Health System Measure 20 % QXA=R Co n 5 20 % 20 % tro l ov pr 15 % Im ze 20 % Analy De fin e 20 % e Commitment and Involvement of the Senior Leadership!! Measure 20 % QXA=R Co n 6 20 % 20 % tro l ov pr 15 % Im ze 20 % Analy De fin e 20 % e OE Growth Introduced the Clinical Process Design methodology in the Region Introduced Change Facilitation Certification Certified first batch of 13 Green Belts Introduced Program at San Pedro and Tarzana (all 5 ministries) Mandatory CAP, WOFL, ILSS for managers and above in region Approved for the expansion of the OE program 2010 2008 2011 Certified first batch of 13 Change Facilitators 2009 Introduced Design Thinking and Innovation to the organization Added Master Black Belts Reintroduced the Green Belts in the Organization Expanded focus to include the Medical Institute. Expanded focus to include Supply Chain Expanded team to include Project Management Expanded focus to Clinical Outcomes (dedicated BB) 2006 Introduced ILSS classes 2007 Measure 20 % 20 % QXA=R Co n 20 % 20 % tro l ov pr 15 % Im ze 20 % Analy Focused projects on Throughput and Revenue Cycle at 3 ministries Offered CAP and WOFL classes 6 Resources 2011 120 Resources De fin e 2006 e Linking Business Y’s to Process Y’s VOP VOE VOM Providence Big Y’s Year Imperatives – Y’s x3 x4 Reduce Reduce Reduce Reduce cycle time turn around time infection rate medication errors Measure 20 % 20 % QXA=R Co n 8 20 % 20 % tro l ov pr 15 % Im ze 20 % Analy x2 • Reduce Days to Bill • Increase throughput / Decrease LOS • Patient satisfaction • • • • Process Y’s x1 • Become Leaders in markets where we serve • High Performance Organization • Achieve Strong Financial Results De fin e VOC e Levels Of A Process Level 1 Length of Stay Key Business Metric Probably Measuring L1 Level 2 Business Processes Feeder to Bed Provide Inpatient Care Discharge Planning Process Execute Discharge Order Usually Not Measuring L2s and L3s Level 3 High-Level Processes Nursing Care Physician Referral Process Practice Patterns Lab Orders Pharmacy Orders Imaging Order TAT Level 4 High Level Process Map for Project Order Turn Around Time Doc Order Level 5 Detailed Subprocess Map – Sub Ys and Xs Schedule Exam/Study Prep Patient Patient Transport Complete Exam/Study Read Transcribe Results Available Six Sigma and WO Projects Measure 20 % QXA=R Co n 9 20 % 20 % tro l ov pr 15 % Im ze 20 % Analy De fin e 20 % e Prioritize Opportunities Measure 20 % QXA=R Co n 10 20 % 20 % tro l ov pr 15 % Im ze 20 % Analy De fin e 20 % e Why Define a Standard Metric What is the Definition of: • ED Door to Doc • OR First Case Start Time • Patient Discharge Time Measure 20 % QXA=R Co n 11 20 % 20 % tro l ov pr 15 % Im ze 20 % Analy De fin e 20 % e PROJECT SCOPING Define: Understanding the Scope Out of Scope As Necessary In Scope What’s in the scope of the project What will not be assessed or reviewed in this project What may be looked at Measure 20 % QXA=R Co n 12 20 % 20 % tro l ov pr 15 % Im ze 20 % Analy Make Sure all team members are on the same page De fin e 20 % e Discuss Resources and Time Commitment Upfront! A project SHOULD NOT TAKE more than 4 – 5 months to complete (few exceptions) Measure 20 % QXA=R Co n 13 20 % 20 % tro l ov pr 15 % Im ze 20 % Analy De fin e 20 % e High Complexity “Change in Paradigm/Futuristic” Six Sigma/ Lean Six Sigma “Data-driven” M Medium Complexity CAP (“the glue”) Lean “Waste Elimination” Work-OutTM “Expert-driven” Flow/ Cycle Time Reduction H Design for Six Sigma Variation and Defect Rate Reduction Methodologies Measure 20 % QXA=R Co n 14 20 % 20 % tro l ov pr 15 % Im ze 20 % Analy All tools/processes are used synergistically De fin e 20 % e Don’t Silo the Methodologies, its all about Continuous Improvement!! Measure 20 % QXA=R Co n 15 20 % 20 % tro l ov pr 15 % Im ze 20 % Analy De fin e 20 % e Change Acceleration Process Quality x Adoption = Result Instead focus on A x x x x A 4 4 7 = = = = R 28 32 49 Big Impact Measure 20 % 20 % QXA=R Co n 20 % 20 % tro l ov pr 15 % Im ze 20 % Analy It’s All About the Acceptance De fin e Focus on Q Q 7 8 7 e Change Acceleration Process Leading Change Creating A Shared Need Shaping A Vision Mobilizing Commitment Current State Transition State Improved State Making Change Last Monitoring Progress Changing Systems & Structures Measure 20 % QXA=R Co n 20 % 20 % tro l ov pr 15 % Im ze 20 % Analy De fin e 20 % e Lean vs. Six Sigma Measure 20 % QXA=R Co n 18 20 % 20 % tro l ov pr 15 % Im ze 20 % Analy De fin e 20 % e Health Care Operations Improvement Work David Belson, Ph.D. USC Department of Industrial and Systems Engineering HCE Conference David Belson 2012 19 How do we improve healthcare performance? Example projects 1. Emergency Department, Lean 2. Mammography clinic, simulation 3. Surgery patient flow, mapping 4. Primary care, doctor’s office, redesign 5. Technology solutions, RFID, EMR HCE Conference David Belson 2012 20 Fixing the Emergency Department with Lean HCE Conference David Belson 2012 21 The most popular tool is Lean Toyota method, Lean-Six Sigma, … • Hospitals, clinics, suppliers, hospital systems • California Hospitals • Providers nationally 22 HCE Conference David Belson 2012 Maximizes participation, reality (Kaizen) HCE Conference David Belson 2012 23 23 LEAN Tools • • • • • • • • Kaizen, participation Waste reduction Mapping 5S Value Stream mapping 5 Whys Cause & effect Pull • Standardize & simplify • Visual Controls • Standard work • Kanban • Level & continuous flow • A-3 • PDSA / DMAIC • & more … 24 HCE Conference David Belson 2012 24 Lean event; • ED department • “Lean” triage • Eliminated waste • Results; lower cost and less waiting HCE Conference David Belson 2012 25 Ideas from hands-on staff: HCE Conference David Belson 2012 26 Results ED’s Triage now: • Fewer forms used • Quicker handling of patient visit • Less waiting time • Fewer patients who left without being seen (the original objective) HCE Conference David Belson 2012 27 Fixing the Patient Flow with computer Simulation HCE Conference David Belson 2012 28 Simulation HCE Conference David Belson 2012 29 Computer Simulation 30 Input Data • Observation & timing • Following patients and staff, interview • Hospital data 31 Average room cycle (minutes) 1 2 3 4 5 6 7 8 9 10 11 12 13 Steps Check-in Registration Waiting at reception area Marsha- prep time Room preparation 3 Tech out to bring patients and patient arrival 1 Patient changing 2 Questionnaire, cleaning etc. 3 5 Exam itself Film processing, walk back and forth 7 Patient changing 2 Patient exit and tech back to room 1 Post processing, paperwork 4 Total at room 28 Minutes Analysis showed how mammography department could serve 50% more cases with no increase in staff or equipment. Average patients per day 19 Hours available 20 Hours Average time per patient HCE 1 Hour Conference David Belson 2012 32 Fixing Surgery with Mapping HCE Conference David Belson 2012 33 HCE Conference David Belson 2012 34 Lean Value Stream Map from Focus Group Kaizen HCE Conference David Belson 2012 35 Value Stream Map – Hospital Discharge HCE Conference David Belson 2012 36 Spaghetti Diagram HCE Conference David Belson 2012 37 Basic Surgery Flow Entry from outside Hospital Inpatient Bed Q Inpatient Bed Q Admitting, registration Q Q Pre Op Q Pre Op Holding Q Operating Rooms Q Recovery (PACU) Q Exit, return home HCE Conference David Belson 2012 Improve with pull 38 Wheels In Time 1. Surgery end to wheels out 2. Room turnover, wheels out to wheels in Wheels Out Time Surgery 1. Surgery end to wheels out, includes: • Extubation of patient • Move patient to transport bed • Completion of paperwork • Disposal of drugs USC 3. Wheels in to surgery start Room Turn over Room Turn over Surgery Surgery Room Turnover Time, includes: Wheels in to surgery start, includes: • Wheel-out prior patient • Assembly of clinical staff • Move out equipment from prior case (surgeon, anestheologist, • Clean room surgeon) • Move in equipment for following case • Confirmation of plan, “time • Interview patient in Pre Op out” step • Transport patient to operating room • Move patient from transport • Wheel-in following patient bed to surgery bed • Potential causes of delay: • Prep of patient • Patient not ready in Pre Op • Intubation of patient • Patient paperwork not ready • Transport staff not available • Room not clean • Surgeon, anesthesiologist or nursing not available Move not ordered HCE Conference David Belson 2012 39 Surgery Operational Problem Areas Issues are similar among hospitals. Utilization of staff and rooms low Report Card lacking Typical Surgery Patient Flow Problems Scheduling inaccurate & ineffective Pre Op delays Pull system needed Communicat ions lacking Charge Nurse ineffective Physical Layout constraints HCE Conference David Belson 2012 40 Fixing the Primary Care Doctor’s Office with Redesign HCE Conference David Belson 2012 41 Old Process HCE Conference David Belson 2012 42 New Process HCE Conference David Belson 2012 43 Fixing Patient Waiting with Technology HCE Conference David Belson 2012 44 Patient wristband with RFID chip HCE Conference David Belson 2012 45 Staff can see what patient is where and how long they have been there. HCE Conference David Belson 2012 46 Who does Healthcare improvement? • External consultants • Designated internal department • Responsibility of managers • Certified or uncertified • Corporate vision (or not) 47 HCE Conference David Belson 2012 Results are significant • • • • • • Time for a given activity reduced by over 50 % Amount of human effort needed reduced by > 50 percent. Defects reduced by > 90 % Injuries and sick days reduced by over 50% Cost of a given activity reduced by 30 – 50 % Work force dissatisfaction and turnover reduced dramatically. HCE Conference David Belson 2012 48 David Belson, Ph.D. http://www.jship.org/home/ USC Department of Industrial and Systems Engineering http://healthcareengineering.usc.edu belson@usc.edu HCE Conference David Belson 2012 49