Creating Data-driven Strategies to Improve Hospital Outcomes_Oct 16th 2014
Leed Presentation
1. Page 0 GOING LEAN Tools in Your Toolbox Using Lean Concepts & Tools to Provide an Optimized Care Delivery System and Inform Healthcare Facility Design Debbie Hoffman Debbiedetech@gmail.com
4. Over the last 35 years, while the nation’s spending on all goods and services has risen at an average annual rate of 7.2 % the amount spent on healthcare as grown at a rate of 9.8 %..as a consequence, Americans simply cannot afford adequate care.1
5. If Federal government spending remains relatively constant % of GDP, the rising cost of Medicare within that budget will crowd out all other spending.1
6. If governmental financial statements reported the liabilities they face from contractual commitments to provide healthcare for retired employees, every city and town in the US would be bankrupt. There is no way for them to pay except by denying funding to other projects or raise taxes to extremely levels. 11 The Innovator’s Prescription – A Disruptive Solution for Health Care, Christensen,Clayton 2008 Can we afford to continue doing business as usual?
7. Page 3 There are two types of costs that need to be considered in the optimization of health care delivery- first time building cost & continuing operational costs. Staffing Efficiency Physician / Staff Satisfaction Quality of Care Optimized Health Care Delivery Adaptability / Flexibility/ Sustainable Operational Process Patient Satisfaction Planning for Optimized Care Delivery
8. Page 4 What does LEAN bring to the table? LEAN Laying the Foundation for Process Change Predictability of workflow- standardization of processes Decrease cycle times = decrease ALOS Adaptability of space allowing flexibility – increasing utilization and decrease obsolescence Space requirements reduced- elimination of duplicity Balancing spaces needs versus utilization Less process steps = less handoffs = less errors Development of a “future state”
15. Page 6 Project Flow – Key Elements Value Stream Modeling / Narravtive Simulation Modeling “What if’s” – Case Study Application of Metric Tools in the Tools Box
98. Identify amount of room within space program for future growthCase Study Benefit and Value
99. Page 18 ~ 2.5 miles Lincoln Park Lake Michigan CMH Current Facility Northwestern University Feinberg School of Medicine Navy Pier New CMH Campus/ Medical School Case Study – Children’s Memorial Hospital
100. Page 19 Facility Entrance Point Critical Care How many trauma and urgent care rooms are needed? How often does each room type reach capacity? What are the implications of a bi-level ED? Emergency Dept. What are the average wait times for a machine? How many prep and recovery spaces are needed per modality/floor? Critical Care NICU/PICU Diagnostic Imaging What is the max number of rooms demanded? How often is the max reached? What prep/recovery configuration is most economical? How many spaces are required? What efficiencies are gained by sharing prep and stage II areas? Prep/Recovery/Obs Acute Procedure Suite What is the max number of rooms demanded? How often is the max reached? What happens to the ED when the Acute IP is full? What is the average and max wait times for a bed? What time will the OR’s finish their cases at the end of the day? What operational issues arise from a bi- or tri-level operating room? Psych Medical Patients Surgical Patients IP Units Questions Asked
101. Page 20 Inpatient Max Utilization Acute Census Will the IP units reach capacity during peak months? How much space is there for program growth? What are the implications of adding another machine or extending operating hours on wait times? What is the impact of a full IP on the ED? How late will ORs need to stay open to finish projected caseloads? What is the impact of reducing turnaround? Questions Answered
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103. Printed reports of value added, business value added, and non-value added classifications
104. Quantification of staff required to maintain certain utilization rates and to ensure proper staffing resources
105. Lean value stream mapping to understand which processes add value to a work flow
106. Identify opportunities in reducing turnaround times, cost implications of standardizing medical instruments, ideal departmental adjacencies, and recovery configurations
109. Count the number of scans machines in radiology will incur in defined set of time for capital planning purposesConclusions
110. Page 22 Comments Your Comments & Questions For additional information or case studies please call Debbie Hoffman 949 395-1482 Or Email Debbiedetech@gmail.com