Six Sigma in Healthcare: A Discussion Professor George S. Easton (c) 2015 George S. Easton 1 The Need: Errors • 1999 Institute of Medicine Report: 44,000 to 98,000 deaths due to preventable medical errors. • 2013 Study: Lethal harm to 210,000 to 400,00 patients. • Serious harm is 10 to 20 times more common. • Third leading cause of death in U.S. (c) 2015 George S. Easton 2 The Need: Waste • Harvard School of Public Health article: Waste may be 30% of 2.8 trillion healthcare spend. Much is spent on over-treatment. • Typical company: waste at least 15% to 25% of sales. • Much rework is never even identified. (c) 2015 George S. Easton 3 Quality In Healthcare • CMS definition: “The right care for every person every time.” • IOM definition: “Quality of care is the degree to which health services for individuals and populations increase the likelihood of desired health outcomes and are consistent with current professional knowledge.” (c) 2015 George S. Easton 4 Quality in Healthcare Dimensions 1. Appropriateness: Correct treatment given state of knowledge. 2. Availability: Ease of access to appropriate care. 3. Competency: Ability of practitioners and conformance to care standards. 4. Continuity: Coordination among providers; smooth flow of services. (c) 2015 George S. Easton 5 Q in HC Dimensions (con’t) • Effectiveness: Right care; desired outcome; right things done. • Efficiency: Economy of resources consumed in delivering desired care/results. • Prevention/Early Detection: assessment and/or intervention to promote health and prevent disease. (c) 2015 George S. Easton 6 Q in HC Dimensions (con’t) • Respect and Caring: sensitivity to needs, expectations, differences. Patient involvement in decision-making. • Safety: Minimize risks to patient and provider. Free from hazard and/or unnecessary risk. • Timeliness: Care at the most beneficial time. Patient perception of prompt care. (c) 2015 George S. Easton 7 What is Six Sigma? Six Sigma is: • A management system for driving quality improvement. • The Six Sigma System is parallel to and outside of the normal day-to-day management structures and procedures. (c) 2015 George S. Easton 8 What is Six Sigma? (con’t) • As a management system it involves: – organizational structures (e.g., teams, committees) – roles (e.g., green belt, black belt, team leader, etc.) – processes, methods (the problem-solving process, experimentation) – analysis techniques and tools (e.g., the quality tools). (c) 2015 George S. Easton 9 What is Six Sigma? (con’t) • As a management system it involves (con’t): – principles (management-by-fact) – norms, shared representations, and systems of meaning (i.e., a culture). (c) 2015 George S. Easton 10 Characteristics of Six Sigma Key characteristics: • Improvement occurs via projects executed by teams. • Processes are central. Processes are the focus of the improvement projects. • Improvement is based on a problem solving framework (DMAIC). (c) 2015 George S. Easton 11 Characteristics of Six Sigma (con’t) • Strong emphasis on metrics (and especially those relating to costs). • Focus on defect and/or cost reduction and on reduction of variation. • Increasing emphasis on customer focus. • Driven by internal consultants: black belts • Heavy emphasis on statistical methods and experiments. (c) 2015 George S. Easton 12 What is Lean? Lean focuses on: • Flow: Value Stream Analysis – Rhythm: Takt Time – Pull and JIT: Production in response to and “close to” consumption. • • • • Waste reduction: the 7 wastes. Organization and cleanliness: The Five S Error Proofing Visual Workplace: Andon boards and lights. (c) 2013 George S Easotn 13 See Excel File (c) 2015 George S. Easton 14 The Six Sigma Belts • Black Belt: Highly trained process improvement specialist: – The backbone of the system. – Full-time temporary position for 2 to 3 years. – Leads own projects and consults with other projects. – Goal of 1 per 100 employees. – Completes 5 to 7 projects per year. (c) 2015 George S. Easton 15 The Six Sigma Belts (con’t) • Green Belt: Trained in process improvement (2 weeks of training). – Part-time involvement (5% to 10% but recommended goal is 10% to 20%). – Can leads own projects, but usually serves as a team member. – Goal of at least 2 to 5 green belts per black belt. – Completes 1 or 2 projects per year. (c) 2015 George S. Easton 16 The Six Sigma Belts • Master Black Belt: Very advanced and experienced black belt: – Full-time position. – Skilled consultant. – Leads own projects, supports black belts in their role, and consults with other projects. – Goal of 1 per 10 black belts. – Trains and certifies black belts. (c) 2015 George S. Easton 17 The Six Sigma Project • On average, six months duration. • 4 to 6 team members. • Typical savings of $100,000 to $250,000 per project. • Should generally require little investment. • Project follows a structured team-based problem solving framework (DMAIC). • Projects should be tracked and archived. (c) 2015 George S. Easton 18 Project Examples List from http://psqh.com/janfeb05/sixsigma.html • Reduction in blood stream infections in ICU (six sigma) • Stroke patient length of stay (lean) • Reduced number of inpatient transfers (six sigma) (c) 2015 George S. Easton 19 Project Examples (con’t) • Emergency department patient wait time (lean) • Improved patient throughput in radiology (lean) • Reduction in lost films (six sigma) • MR exam scheduling improvement (not clear) (c) 2015 George S. Easton 20 Project Examples (con’t) • Staff recruitment and retention (six sigma) • Operation room case cart accuracy (six sigma) • Physician (professional fee) billing accuracy (six sigma) • Appointment backlog for hospital-based orthopedic clinic (lean?) (c) 2015 George S. Easton 21 Project Examples (con’t) • Quality of care and satisfaction of families in newborn ICU (six sigma). Note: I think the idea of classifying the projects are “lean” or “six sigma” is a bit false. (c) 2015 George S. Easton 22 Example Financial Results in HC Facility Type Improvement Opportunity Regional Medical Patient LOS in ED Center in the and admit bed delay, Southeast reducing diverts Healthcare Delivery Increase throughput System in California and generate incremental revenue opportunities Large Metropolitan Reduce number of Hospital System inpatient transfers (defect — any patient transferred more than once) Health System in Bed availability (3 Midwest projects) Renowned Academic Improved throughput Medical Center in and workflow for California PACS, MR, CT, CR/Ortho Result $1 million in documented gains $8.4m in documented gains 75% reduction in inpatient transfers; $2m annual cost savings $1.86 million in documented gains $4 million dollars in documented gains Source: http://psqh.com/janfeb05/sixsigma.html (c) 2015 George S. Easton 23 Comment • I cannot possibly teach you in depth about Six Sigma in 2 hours. • Many things are being glossed over or skipped. (c) 2015 George S. Easton 24 Measurement for Improvement • Accounting measures are generally poor for the purpose of process control and improvement. • Measures should be in the units of the workplace. • Measures should emphasize the problems. • Variables measures and upstream measures are preferred. (c) 2015 George S. Easton 25 Inspection Exercise • Inspection is the “go to” approach that many people jump to in order to prevent mistakes and ensure quality. • Healthcare uses inspection constantly. (c) 2015 George S. Easton 26 DMAIC • DMAIC is a 5 phase problem solving framework. Define (define and justify the project) Measure (measure the process, collect evidence) Analyze (form and test hypotheses, improvements) Improve (implement and validate improvements) Control (standardize the improvement(s)) (c) 2015 George S. Easton 27 DMAIC is Supported by Tools • Seven basic tools: Pareto charts, histogram, scatter diagram, control chart, check sheet, stratification, cause-and-effect diagram, flow chart. • New Seven Management Tools: Matrix diagram, affinity diagram, relations diagram, PDPC, arrow diagram, tree diagram. (c) 2015 George S. Easton 28 Tools • • • • • Statistical Process Control Process capability analysis. FMEA (Failure Mode and Effects Analysis) Regression Designed Experiments. See: http://asq.org/learn-about-quality/quality-tools.html (c) 2015 George S. Easton 29 Problem Solving Frameworks • Problem solving frameworks are important! • Implement the scientific method which is HARD. • Guide and discipline the problem-solving. • Force management-by-fact. • Provide shared understanding for communication. (c) 2015 George S. Easton 30 Problem Solving Frameworks • Provide a framework for reporting on (and capturing) project results. • Through experience, develop trust in the results developed by teams using the process. (c) 2015 George S. Easton 31 Root Causes and the 5 Why’s • A root cause is a true underlying cause of a problem. • The “5 Why’s” is the idea that you have to ask why five times in order to “drill down” deep enough to get to the true root cause. Search for “five whys example” (c) 2015 George S. Easton 32 Reversible vs. Irreversible • Improvement can be reversible or irreversible. • Improvements to equipment are often(?) irreversible. • Improvement that require changes is human behavior are reversible. • It is hard to make reversible improvements stick. (c) 2015 George S. Easton 33 Clinical Experience Is Unreliable • Experts are right most of the time (maybe 80% to 90%) but are wrong far to often (10% to 20%) to be considered reliable. • Experts often vastly underestimate what is not known. • Experts inappropriately project knowledge from one context to another (e.g., theoretical knowledge into the workplace.) (c) 2015 George S. Easton 34 Clinical Experience Is Unreliable • There are many cognitive biases that make conclusions based on clinical experience suspect. See: http://en.wikipedia.org/wiki/List_of_cognitive_biases • Experts do not know everything they know at any one point in time. – The attention window is narrow and influenced by a variety of haphazard factors. (c) 2015 George S. Easton 35 How This Works • Expert notices patterns in clinical practice. • Expert forms hypotheses – This is a human trait, we are hypothesis machines. – Hypothesis formation is influenced by many cognitive biased such as the recency effect or the tendency to try to assign causes to random events. (c) 2015 George S. Easton 36 How This Works (con’t) • Expert unwittingly seeks evidence that supports the hypothesis and ignores or discounts evidence that does not support the hypothesis (confirmation bias). • Over time, hypotheses that seem true and are untested become beliefs. (Juran) (c) 2015 George S. Easton 37 How This Works (con’t) • Over more time, “expert” develops a stake in the belief being true. (Juran) • Expert now resists any attempt to test the belief and may well reject the results of any test. – Waste of time, not necessary (c) 2015 George S. Easton 38 How This Works (con’t) • Beliefs held by groups are often even more entrenched. – The fact that others believe something seems to humans as evidence that it is true. • Groups repeat their beliefs over and over again and the more they are repeated, the truer they seem. (repetition matters) • There is a life lesson here. (c) 2015 George S. Easton 39 Why is Six Sigma Hard in HC • Six Sigma is hard everywhere. – Like being fit and thin. • Medicine is complex and getting more so. – Many patients with multiple conditions. • Large variation in patients. (c) 2015 George S. Easton 40 Structural Barriers • For hospitals: Who is the customer? Doctors or patients? • For all HC: Who is the customer? Patients of insurance companies or employers. • Third party payment: all of the incentives are wrong. • Physician independence. • Shortages. (c) 2015 George S. Easton 41 Note: • To systematically improve in any kind of a fundamental way, you have to have consistency. (c) 2015 George S. Easton 42 Cultural Barriers • Hierarchy (Doctors are gods.) • Physician autonomy (you can’t tell me what to do). • Role definitions and specialization (not my job). • Not invented here. Healthcare is different. (No it’s not!) (c) 2015 George S. Easton 43 Barriers Due to Ways of Thinking • Failure to understand the limits on the value of clinical experience. • Failure to recognize value of consistency for improvement. • Focus on maximizing physician efficiently. • Reliance on batch processing. • Reliance on inspection. (c) 2015 George S. Easton 44 Barriers Due to Thinking (con’t) • Don’t see processes as a subject for experimentation. • Someone should do a study and define best practices. That is, waiting for the literature. (This kind of thinking does not occur in industry.) (c) 2015 George S. Easton 45