Presented on Agile-Lean Ireland meetup in Dublin.
Are estimates good practice in software development?
How about replacing them with metrics and use data for project delivery?
Metrics and productivity were the topics of the presentation. Key points included:
1) Metrics are important for estimating projects accurately and managing costs, schedules, and quality.
2) Common problems in estimating stem from using wild guesses or CYA estimates instead of real data and metrics.
3) A variety of standard metrics exist for measuring size, complexity, effort, defects, and other factors.
4) Metrics need to be functional, objective, empirical, practical and collected continuously to be useful for management.
Daniel Jones outlines how lean thinking can help healthcare based on his experience helping other industries. He conducted experiments in healthcare to develop lean methods, focusing on eliminating waste and delays for patients. Key aspects include mapping patient flows, synchronizing activities between departments, and establishing stability through visual management boards. This requires an "end-to-end perspective" and appointing a value stream manager to resolve conflicts and ensure continuous process improvement. With the right lean management system in place, healthcare can realize significant benefits like reduced lengths of stay and costs.
We believe that healthcare can be different by respecting the people on the frontlines of healthcare. For University of Utah Healthcare, respect means supporting healthcare workers through aligned tools. The Value Summary is an attempt to create a common language of value improvement in healthcare through a one-page summary document. It is more than a form; it is a planning guide, a way to share and spread ideas, and a path to earn continuing education credit. It is the currency of value improvement work at University of Utah Healthcare.
Value Summary Online Improvement Portal: Product OverviewUniversity of Utah
The Value Summary is the currency of value improvement work at University of Utah Health. It is an online improvement process tool that creates a common improvement language that results in a one-page summary document. It visually guides the improver through our standardized improvement methodology while teaching improvement science principles in real time. The online Value Summary portal creates a forum to share and spread ideas and a path to earn maintenance of certification credit at University of Utah Health.
Successful Change Management Strategies in a Medical Practice – April 28, 2011Cientis Technologies
Successful Change Management Strategies in a Medical Practice
Panelists: Dr. Chris Tonozzi, Electronic Health Record Implementation and Development, Physician lead, Mountain Family Health Center, Glenwood Springs, Colorado.
Ann Lefebvre, Executive Director of NC Regional Extension Center for HIT and directs the Improving Performance in Practice (IPIP) Program for the state of North Carolina.
The document describes a standardized improvement framework called the Value Summary 2.0. It provides guidance on using the framework to define an improvement project, conduct a baseline analysis, design and implement changes, and monitor outcomes. The framework includes 5 sections - project definition, baseline analysis and investigation, improvement design and implementation, and monitoring and impact. Each section contains elements to address such as defining SMART goals, examining current processes, identifying root causes, designing reliable new processes, and continuously measuring metrics. The framework is intended to promote structured, evidence-based process improvement work.
The document discusses the challenges with traditional budgeting processes and the benefits of a new budgeting solution called BudgetPak. It notes that traditional budgeting is time-consuming, leads to errors and rework, and does not provide good data quality or tools for finance teams or department heads. BudgetPak aims to automate the budgeting process, provide robust reporting and self-service tools, improve workflow and approvals, and integrate with other systems to make budgeting faster, easier and produce higher quality budgets.
Metrics and productivity were the topics of the presentation. Key points included:
1) Metrics are important for estimating projects accurately and managing costs, schedules, and quality.
2) Common problems in estimating stem from using wild guesses or CYA estimates instead of real data and metrics.
3) A variety of standard metrics exist for measuring size, complexity, effort, defects, and other factors.
4) Metrics need to be functional, objective, empirical, practical and collected continuously to be useful for management.
Daniel Jones outlines how lean thinking can help healthcare based on his experience helping other industries. He conducted experiments in healthcare to develop lean methods, focusing on eliminating waste and delays for patients. Key aspects include mapping patient flows, synchronizing activities between departments, and establishing stability through visual management boards. This requires an "end-to-end perspective" and appointing a value stream manager to resolve conflicts and ensure continuous process improvement. With the right lean management system in place, healthcare can realize significant benefits like reduced lengths of stay and costs.
We believe that healthcare can be different by respecting the people on the frontlines of healthcare. For University of Utah Healthcare, respect means supporting healthcare workers through aligned tools. The Value Summary is an attempt to create a common language of value improvement in healthcare through a one-page summary document. It is more than a form; it is a planning guide, a way to share and spread ideas, and a path to earn continuing education credit. It is the currency of value improvement work at University of Utah Healthcare.
Value Summary Online Improvement Portal: Product OverviewUniversity of Utah
The Value Summary is the currency of value improvement work at University of Utah Health. It is an online improvement process tool that creates a common improvement language that results in a one-page summary document. It visually guides the improver through our standardized improvement methodology while teaching improvement science principles in real time. The online Value Summary portal creates a forum to share and spread ideas and a path to earn maintenance of certification credit at University of Utah Health.
Successful Change Management Strategies in a Medical Practice – April 28, 2011Cientis Technologies
Successful Change Management Strategies in a Medical Practice
Panelists: Dr. Chris Tonozzi, Electronic Health Record Implementation and Development, Physician lead, Mountain Family Health Center, Glenwood Springs, Colorado.
Ann Lefebvre, Executive Director of NC Regional Extension Center for HIT and directs the Improving Performance in Practice (IPIP) Program for the state of North Carolina.
The document describes a standardized improvement framework called the Value Summary 2.0. It provides guidance on using the framework to define an improvement project, conduct a baseline analysis, design and implement changes, and monitor outcomes. The framework includes 5 sections - project definition, baseline analysis and investigation, improvement design and implementation, and monitoring and impact. Each section contains elements to address such as defining SMART goals, examining current processes, identifying root causes, designing reliable new processes, and continuously measuring metrics. The framework is intended to promote structured, evidence-based process improvement work.
The document discusses the challenges with traditional budgeting processes and the benefits of a new budgeting solution called BudgetPak. It notes that traditional budgeting is time-consuming, leads to errors and rework, and does not provide good data quality or tools for finance teams or department heads. BudgetPak aims to automate the budgeting process, provide robust reporting and self-service tools, improve workflow and approvals, and integrate with other systems to make budgeting faster, easier and produce higher quality budgets.
University of Utah Health Value Improvement Leaders: MethodologyUniversity of Utah
At the University of Utah, we use a general value improvement methodology based on Lean and Six Sigma with the following phases: Project Definition, Baseline Analysis, Investigation, Design, Implement, Monitor. Problem-solving runs into challenges when an immediate solution is implemented as a reaction to the problem. Following a proven, structured, and balanced improvement methodology forces reflection on a problem.
Traditional annual budgets are becoming obsolete due to rapidly changing business environments. Rolling forecasts that are updated regularly provide a more accurate picture of business performance. They extend beyond the fiscal year and cover a standard number of periods. Implementing a rolling forecast requires focusing on key business drivers, enabling rapid forecast creation, blending actual performance with updated forecasts, ensuring cultural buy-in, and providing technology support. Rolling forecasts allow for more frequent resource allocation and back-testing accuracy compared to traditional annual budgets.
The A3 Report poster describes the A3 problem solving process from problem identification to resolution in a fashion that fosters learning, collaboration, and personal development.
The poster comes in four themes: light, dark, color and monochrome. Formatted in PDF and in editable PPTX, the poster can be easily printed on an A3-sized paper from an office copier machine and displayed on employee workstations, or distributed together with your workshop handouts.
The A3 Report poster complements your A3 Problem Solving training presentation materials. It serves as a takeaway and summary of your process improvement presentation.
The A3 problem solving process structure includes eight elements:
1. Theme - Concise statement of what this A3 report is about.
2. Background - Relevant historical data and information.
3. Current Condition - Detailed description of the current situation (e.g. process flow, trend chart, Pareto analysis, gap identification and problem statement).
4. Goal Statement - Specific goal to address the gap or future state from the current state.
5. Analysis - Depiction of analytical techniques to uncover the root causes of the problem or factors that affect the problem in the current state.
6. Countermeasures - A summary of who will do what by when in order to resolve the problem situation or achieve the future state.
7. Check Results - Quantitative comparison of actual results versus your goal.
8. Follow Up - Summary of follow up action items (e.g. lessons learned, communication to other parties, training, standardization, or other areas).
The document provides information on the basic seven tools of quality: cause-and-effect diagrams, flowcharts, checklists, control charts, scatter diagrams, Pareto analysis, and histograms. It defines each tool and provides an example of some. Cause-and-effect diagrams help identify potential factors causing a problem or condition. Flowcharts show the sequence of steps in a process. Checklists identify quality problems. Control charts show if a process is in or out of control. Scatter diagrams illustrate relationships between variables. Pareto analysis separates vital few causes from trivial many. Histograms show the variation in data.
Explanation of the seven basic tools used to solve a variety of quality-related issues. They are suitable for people with little formal training in statistics.
We must understand the difference between testing statistics, metrics, and reports to convey and or extract the desired information:
• Statistics captures the desired current status
• Metrics tell the story of how well the desired is performing
• Reports combine statistics and metrics
East is clinical trial design software that allows users to quickly generate multiple trial designs, assess their operating characteristics through simulation, and share designs with stakeholders through customizable reports and graphs. It has been extensively tested and validated, with designs relied upon for over 20 years in numerous pharmaceutical studies. The document provides two examples of clinical trial scenarios that could be modeled in East: a schizophrenia trial comparing a new drug to placebo on negative symptom outcomes, and an adjuvant breast cancer trial comparing Femara to Tamoxifen on disease-free survival.
This document provides an overview of quality tools, when and where they should be applied. It discusses traditional tools like flowcharts, Pareto charts, and control charts. Additional commonly used tools covered include 5W/2H, brainstorming, FMEA, histograms, cause and effect diagrams. The document explains that tools can be categorized and should be selected based on the improvement process step and goal. It also provides examples of applying specific tools like Pareto diagrams, histograms, and control charts.
This document provides an overview of a seminar on introducing measurement for improvement. The seminar agenda includes a welcome, introduction to the topic, and contact details. The presentation discusses using measurement to demonstrate whether improvement interventions are effective, provides examples of run charts to track data over time, and addresses challenges in measuring complex topics. Key points are that measurement for improvement can be kept simple, understanding baseline data is important, and capturing data over time can show whether unusual variation indicates an intervention worked. Resources for further information are also listed.
The document discusses 7 quality tools: cause-and-effect diagram, check sheet, control chart, histogram, Pareto chart, scatter diagram, and stratification. It provides descriptions of each tool and guidelines on when they should be used, such as for identifying causes of problems, collecting data, analyzing processes over time, determining if a process is stable, and separating data into categories for clearer analysis.
Data Analytics and the Small Audit Department: How to Implement for Big GainsCaseWare IDEA
Listen to playback of this webinar: https://www.casewareanalytics.com/webinars/data-analytics-and-small-audit-department-how-implement-big-gains
Most internal auditors recognize the need for data analytics and the improved coverage it offers. But did you know that even small audit teams can effectively leverage data analytics in their audit programs?
It is time to get through the excuses and join our experts as they as they debunk the myth that only large audit teams can use data analytics. This webinar discusses how small audit firms can start with an analytics program; how to leverage analytic techniques along with critical thinking at various phases of the audit process, including risk assessment, macro level audit planning and micro-level audit planning; and finally a methodical plan on how small teams can grow their data analytics program to increase their effectiveness and confidence in the internal audit process.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
The document discusses 4 of the 7 problem solving tools: Cause and Effect Diagrams, Flowcharts, Checklists, and Pareto Analysis. It provides descriptions of what each tool is, why it is used, and an example for each. Cause and Effect Diagrams help identify primary and secondary causes of a problem. Flowcharts visualize processes to detect bottlenecks. Checklists ensure standards are followed. Pareto Analysis identifies the "vital few" key causes that produce most problems.
NHS Improving Quality held a webinar about basic service improvement tools and techniques for strategic clinical network and mental health teams with little or no service improvement experience. The aim was to raise awareness and gauge future training needs.
The document discusses using key performance indicators (KPIs) to improve financial performance in dental practices. It recommends measuring important metrics like income per hour, surgery occupancy rates, and numbers of plan patients. These "Tier 1 KPIs" provide insight into how efficiently the practice is operating. Additional "Tier 2 KPIs" like conversion rates, marketing costs, and wait times can also be tracked. Creating a dashboard to monitor KPI trends over 12 months allows practices to identify areas for increased efficiency and profitability.
The document discusses how survival analytics can be used to more accurately predict employee churn compared to traditional logistic regression. It explains key survival analysis concepts like hazard rate, survival rate, and proportional hazard modeling. The document also provides a step-by-step guide to building a survival model using R, including gathering data, calculating baseline survival, modeling proportional hazard with Cox regression, and validating the model. The goal is to predict how long employees will remain at a company to help hire people likely to stay longer and save on replacement costs.
This document discusses using Lean concepts and simulation modeling to optimize healthcare facility design and delivery. It notes rising healthcare costs in the US and how Lean can help address this issue. Key Lean benefits include reducing waste, decreasing handoffs, standardizing processes, and balancing space needs with utilization. The document provides an example case study of a children's hospital where simulation modeling helped test capacity, operational configurations, and identify space requirements to support growth. It concluded simulation modeling is a useful tool for functional programming, staffing/budgeting, equipment planning, and ongoing operational analysis.
This document discusses the importance of team metrics for identifying problems, making forecasts, and driving corrective behaviors. It emphasizes that both qualitative and quantitative data from sources like Jira and Excel can provide leading and lagging metrics to understand team performance. Examples are given around tracking items delivered and forecasting readiness. The goals are to help teams gain intuition on these concepts and find new ways to sell analytics using analogies.
A3 Thinking:
A3 thinking is a structured technique of working through problems or opportunities for improvement. The ‘A3’ itself is literally just that: a piece of A3 paper summarising the logical thought processes that have been agreed by the team in defining the opportunity for improvement or solving the problem they face.
The document discusses various concepts related to health planning including strategic planning, situational analysis, problem identification, priority setting, options appraisal, cost-effectiveness analysis, force field analysis, programming and documentation, logframe analysis, and monitoring and evaluation. It provides examples of how these concepts can be applied to improve the health of mothers and children in a given population with a limited budget.
Epson has developed a toolkit to help users analyze data and make decisions. The toolkit outlines a 5-step process: 1) define the problem and data collection plan, 2) collect and clean the data, 3) interpret the data, 4) develop recommendations, and 5) monitor improvements. It also provides guidance on descriptive statistics, data relationships, grouping data, and identifying trends to analyze problems. The overall goal is to help users turn data into actionable insights and impactful decisions.
This document discusses indicators of performance in health and safety management. It begins by explaining the purposes of indicators, which include monitoring performance, raising awareness of issues, and using in incentive programs. The main types of indicators discussed are leading and lagging. Leading indicators predict future events while lagging indicators show past events. Common indicators mentioned include safety audits, behaviors, attitudes, inspections, accidents, and process safety. The document also covers pros and cons of different indicators, presenting data, and health indicators.
University of Utah Health Value Improvement Leaders: MethodologyUniversity of Utah
At the University of Utah, we use a general value improvement methodology based on Lean and Six Sigma with the following phases: Project Definition, Baseline Analysis, Investigation, Design, Implement, Monitor. Problem-solving runs into challenges when an immediate solution is implemented as a reaction to the problem. Following a proven, structured, and balanced improvement methodology forces reflection on a problem.
Traditional annual budgets are becoming obsolete due to rapidly changing business environments. Rolling forecasts that are updated regularly provide a more accurate picture of business performance. They extend beyond the fiscal year and cover a standard number of periods. Implementing a rolling forecast requires focusing on key business drivers, enabling rapid forecast creation, blending actual performance with updated forecasts, ensuring cultural buy-in, and providing technology support. Rolling forecasts allow for more frequent resource allocation and back-testing accuracy compared to traditional annual budgets.
The A3 Report poster describes the A3 problem solving process from problem identification to resolution in a fashion that fosters learning, collaboration, and personal development.
The poster comes in four themes: light, dark, color and monochrome. Formatted in PDF and in editable PPTX, the poster can be easily printed on an A3-sized paper from an office copier machine and displayed on employee workstations, or distributed together with your workshop handouts.
The A3 Report poster complements your A3 Problem Solving training presentation materials. It serves as a takeaway and summary of your process improvement presentation.
The A3 problem solving process structure includes eight elements:
1. Theme - Concise statement of what this A3 report is about.
2. Background - Relevant historical data and information.
3. Current Condition - Detailed description of the current situation (e.g. process flow, trend chart, Pareto analysis, gap identification and problem statement).
4. Goal Statement - Specific goal to address the gap or future state from the current state.
5. Analysis - Depiction of analytical techniques to uncover the root causes of the problem or factors that affect the problem in the current state.
6. Countermeasures - A summary of who will do what by when in order to resolve the problem situation or achieve the future state.
7. Check Results - Quantitative comparison of actual results versus your goal.
8. Follow Up - Summary of follow up action items (e.g. lessons learned, communication to other parties, training, standardization, or other areas).
The document provides information on the basic seven tools of quality: cause-and-effect diagrams, flowcharts, checklists, control charts, scatter diagrams, Pareto analysis, and histograms. It defines each tool and provides an example of some. Cause-and-effect diagrams help identify potential factors causing a problem or condition. Flowcharts show the sequence of steps in a process. Checklists identify quality problems. Control charts show if a process is in or out of control. Scatter diagrams illustrate relationships between variables. Pareto analysis separates vital few causes from trivial many. Histograms show the variation in data.
Explanation of the seven basic tools used to solve a variety of quality-related issues. They are suitable for people with little formal training in statistics.
We must understand the difference between testing statistics, metrics, and reports to convey and or extract the desired information:
• Statistics captures the desired current status
• Metrics tell the story of how well the desired is performing
• Reports combine statistics and metrics
East is clinical trial design software that allows users to quickly generate multiple trial designs, assess their operating characteristics through simulation, and share designs with stakeholders through customizable reports and graphs. It has been extensively tested and validated, with designs relied upon for over 20 years in numerous pharmaceutical studies. The document provides two examples of clinical trial scenarios that could be modeled in East: a schizophrenia trial comparing a new drug to placebo on negative symptom outcomes, and an adjuvant breast cancer trial comparing Femara to Tamoxifen on disease-free survival.
This document provides an overview of quality tools, when and where they should be applied. It discusses traditional tools like flowcharts, Pareto charts, and control charts. Additional commonly used tools covered include 5W/2H, brainstorming, FMEA, histograms, cause and effect diagrams. The document explains that tools can be categorized and should be selected based on the improvement process step and goal. It also provides examples of applying specific tools like Pareto diagrams, histograms, and control charts.
This document provides an overview of a seminar on introducing measurement for improvement. The seminar agenda includes a welcome, introduction to the topic, and contact details. The presentation discusses using measurement to demonstrate whether improvement interventions are effective, provides examples of run charts to track data over time, and addresses challenges in measuring complex topics. Key points are that measurement for improvement can be kept simple, understanding baseline data is important, and capturing data over time can show whether unusual variation indicates an intervention worked. Resources for further information are also listed.
The document discusses 7 quality tools: cause-and-effect diagram, check sheet, control chart, histogram, Pareto chart, scatter diagram, and stratification. It provides descriptions of each tool and guidelines on when they should be used, such as for identifying causes of problems, collecting data, analyzing processes over time, determining if a process is stable, and separating data into categories for clearer analysis.
Data Analytics and the Small Audit Department: How to Implement for Big GainsCaseWare IDEA
Listen to playback of this webinar: https://www.casewareanalytics.com/webinars/data-analytics-and-small-audit-department-how-implement-big-gains
Most internal auditors recognize the need for data analytics and the improved coverage it offers. But did you know that even small audit teams can effectively leverage data analytics in their audit programs?
It is time to get through the excuses and join our experts as they as they debunk the myth that only large audit teams can use data analytics. This webinar discusses how small audit firms can start with an analytics program; how to leverage analytic techniques along with critical thinking at various phases of the audit process, including risk assessment, macro level audit planning and micro-level audit planning; and finally a methodical plan on how small teams can grow their data analytics program to increase their effectiveness and confidence in the internal audit process.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
The document discusses 4 of the 7 problem solving tools: Cause and Effect Diagrams, Flowcharts, Checklists, and Pareto Analysis. It provides descriptions of what each tool is, why it is used, and an example for each. Cause and Effect Diagrams help identify primary and secondary causes of a problem. Flowcharts visualize processes to detect bottlenecks. Checklists ensure standards are followed. Pareto Analysis identifies the "vital few" key causes that produce most problems.
NHS Improving Quality held a webinar about basic service improvement tools and techniques for strategic clinical network and mental health teams with little or no service improvement experience. The aim was to raise awareness and gauge future training needs.
The document discusses using key performance indicators (KPIs) to improve financial performance in dental practices. It recommends measuring important metrics like income per hour, surgery occupancy rates, and numbers of plan patients. These "Tier 1 KPIs" provide insight into how efficiently the practice is operating. Additional "Tier 2 KPIs" like conversion rates, marketing costs, and wait times can also be tracked. Creating a dashboard to monitor KPI trends over 12 months allows practices to identify areas for increased efficiency and profitability.
The document discusses how survival analytics can be used to more accurately predict employee churn compared to traditional logistic regression. It explains key survival analysis concepts like hazard rate, survival rate, and proportional hazard modeling. The document also provides a step-by-step guide to building a survival model using R, including gathering data, calculating baseline survival, modeling proportional hazard with Cox regression, and validating the model. The goal is to predict how long employees will remain at a company to help hire people likely to stay longer and save on replacement costs.
This document discusses using Lean concepts and simulation modeling to optimize healthcare facility design and delivery. It notes rising healthcare costs in the US and how Lean can help address this issue. Key Lean benefits include reducing waste, decreasing handoffs, standardizing processes, and balancing space needs with utilization. The document provides an example case study of a children's hospital where simulation modeling helped test capacity, operational configurations, and identify space requirements to support growth. It concluded simulation modeling is a useful tool for functional programming, staffing/budgeting, equipment planning, and ongoing operational analysis.
This document discusses the importance of team metrics for identifying problems, making forecasts, and driving corrective behaviors. It emphasizes that both qualitative and quantitative data from sources like Jira and Excel can provide leading and lagging metrics to understand team performance. Examples are given around tracking items delivered and forecasting readiness. The goals are to help teams gain intuition on these concepts and find new ways to sell analytics using analogies.
A3 Thinking:
A3 thinking is a structured technique of working through problems or opportunities for improvement. The ‘A3’ itself is literally just that: a piece of A3 paper summarising the logical thought processes that have been agreed by the team in defining the opportunity for improvement or solving the problem they face.
The document discusses various concepts related to health planning including strategic planning, situational analysis, problem identification, priority setting, options appraisal, cost-effectiveness analysis, force field analysis, programming and documentation, logframe analysis, and monitoring and evaluation. It provides examples of how these concepts can be applied to improve the health of mothers and children in a given population with a limited budget.
Epson has developed a toolkit to help users analyze data and make decisions. The toolkit outlines a 5-step process: 1) define the problem and data collection plan, 2) collect and clean the data, 3) interpret the data, 4) develop recommendations, and 5) monitor improvements. It also provides guidance on descriptive statistics, data relationships, grouping data, and identifying trends to analyze problems. The overall goal is to help users turn data into actionable insights and impactful decisions.
This document discusses indicators of performance in health and safety management. It begins by explaining the purposes of indicators, which include monitoring performance, raising awareness of issues, and using in incentive programs. The main types of indicators discussed are leading and lagging. Leading indicators predict future events while lagging indicators show past events. Common indicators mentioned include safety audits, behaviors, attitudes, inspections, accidents, and process safety. The document also covers pros and cons of different indicators, presenting data, and health indicators.
Intra Cranial Pressure ( Icp ) Measurements Are Taken Via...Michelle Love
Invasive procedures to measure intra cranial pressure (ICP) carry health risks, so researchers are testing a non-invasive technique using a cerebral and cochlear fluid pressure (CCFP) analyzer. The CCFP measures ICP fluctuations in perilymphatic fluid. A study is recruiting healthy male volunteers to have ICP measured with the CCFP during weight lifting, as exertion is expected to cause transient ICP increases detectable by the device. The CCFP utilizes tympanic membrane displacement to non-invasively measure ICP.
This document discusses 7 quality control tools: check sheets, Pareto diagrams, cause and effect diagrams, stratification, scatter diagrams, histograms, and graphs and control charts. It provides details on how to collect data and use check sheets, Pareto analysis, cause and effect diagrams, stratification, scatter diagrams, and histograms for quality control purposes. Key steps and considerations for constructing and interpreting these tools are outlined.
Webinar On Lean In Non Manufacturing Environmentsfertuckda
This document discusses Lean operations and how its principles can be applied in non-manufacturing environments. It defines Lean thinking, outlines its history and key concepts, and provides a case study of how Virginia Mason Medical Center successfully implemented Lean in a healthcare setting. The document explains how Lean was used to stabilize processes, standardize workflows, simplify tasks, eliminate waste, and continuously improve operations, resulting in significant benefits like reduced costs, errors and waste.
The document provides instructions for a project manager to implement a new electronic health record (EHR) system at a large, multi-campus hospital system. The project manager must:
1) Discuss how quality management tools like control charts and Pareto charts can help ensure regulatory compliance and inform policies for the new EHR system.
2) Develop a performance measurement plan using benchmarking techniques to track progress and comply with regulations during the EHR transition.
3) Demonstrate workflow concepts like use cases and flow charts that will help manage the EHR implementation.
4) Select project management techniques like Gantt charts and risk analysis to plan the project, ensure efficient workflows, and meet outcomes that
Presentation of Project and Critique.pptxBillyMoses1
This document outlines the key components that should be addressed when critiquing and defending one's own research work. It discusses re-examining the problem statement, research questions, methodology, analysis, and findings. The critique should identify strengths and weaknesses and suggest improvements. When presenting findings, the results should be logically presented and compared to prior literature. Block diagrams and short defenses of the methodology used are recommended. The research's impacts, such as on costs or operations, should also be considered.
Cause and Effect Analysis is a technique for identifying all the possible causes (inputs) associated with a particular problem / effect (output) before narrowing down to the small number of main, root causes which need to be addressed.
This document summarizes a workshop on implementing leading indicator programs to improve safety. The workshop will address key questions around health, safety and environment leading indicators and how to use collected data to create change. Presentations will cover lagging and leading indicators, a case study of a successful leading indicator program, using technology for leading indicators, and data reporting. Attendees will participate in a workshop activity to experience using a mobile application to record inspection results. Recommendations provided include making leading indicators measure proactive activities, applying a plan-do-check-act model, and using data visualization and analytics to drive decisions to prevent incidents.
Adverse Event or Near Miss Analysis DetailsAt.docxcoubroughcosta
Adverse Event or Near Miss Analysis
Details
Attempt 1Available
Attempt 2NotAvailable
Attempt 3NotAvailable
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Overview
Write a 5–7-page a comprehensive analysis on an adverse event or near miss from your professional nursing experience. Integrate research and data on the event and use as a basis to propose a quality improvement (QI) initiative in your current organization.
Health care organizations strive for a culture of safety. Yet despite technological advances, quality care initiatives, oversight, ongoing education and training, laws, legislation and regulations, medical errors continue to occur. Some are small and easily remedied with the patient unaware of the infraction. Others can be catastrophic and irreversible, altering the lives of patients and their caregivers and unleashing massive reforms and costly litigation.
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Context
The purpose of the report is to assess whether specific quality indicators point to improved patient safety, quality of care, cost and efficiency goals, and other desired metrics. Nurses and other health professionals with specializations and/or interest in the condition, disease, or the selected issue are your target audience.
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Questions to Consider
As you prepare to complete this assessment, you may want to think about other related issues to deepen your understanding or broaden your viewpoint. You are encouraged to consider the questions below and discuss them with a fellow learner, a work associate, an interested friend, or a member of your professional community. Note that these questions are for your own development and exploration and do not need to be completed or submitted as part of your assessment.
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Resources
Required Resources
MSN Program Journey
The following is a useful map that will guide you as you continue your MSN program. This map gives you an overview of all the steps required to prepare for your practicum and to complete your degree. It also outlines the support that will be available to you along the way.
MSN Program Journey
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Transcript
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Assessment Instructions
Preparation
Prepare a comprehensive analysis on an adverse event or near-miss from your professional nursing experience that you or a peer experienced. Integrate research and data on the event and use as a basis to propose a Quality Improvement (QI) initiative in your current organization.
Note
: Remember, you can submit all, or a portion of, your draft to Smarthinking for feedback, before you submit the final version of your analysis for this assessment. However, be mindful of the turnaround time for receiving feedback, if you plan on using this free service.
The numbered points below correspond to grading criteria in the scoring guide. The bullets below each grading criterion further delineate tasks to fulfill the assessment requirements. Be s.
Budgeting, Forecasting, and Closing ProcessJason Lundell
This document discusses various budgeting techniques, budget reporting challenges, and alternatives to traditional budgeting approaches. It provides an overview of rolling budgets, zero-based budgets, and other budgeting methods. Issues with traditional budget variance reports are outlined. The balanced scorecard approach and its focus on financial, customer, internal and learning perspectives is presented as an alternative. The concepts of devolved networks, adaptive processes, and hindsight-based evaluation are introduced as principles of the "beyond budgeting" model. Tools for improving the financial close process including flowcharts, checklists, and cause-and-effect diagrams are also summarized.
Validating & Promoting your Program's Success Using ROI and other Evaluation ...Practical Playbook
The document outlines steps for developing a performance measurement and evaluation plan for public health programs. It discusses developing logic models and selecting process and outcome measures, collecting interim data, and calculating return on investment. The goal is to show stakeholders like funders and policymakers how programs are performing and achieving impacts in a manner that promotes continuous program improvement.
Total quality management (TQM) is defined as the enhancement of traditional business methods with a focus on meeting customer expectations, continuous process improvement, and defect prevention. TQM involves managing the whole organization to achieve excellence by focusing on quality in all aspects. It requires integrating quality management into daily operations and overcoming outdated organizational cultures. Key elements of a successful TQM system include integrity, training, teamwork, leadership, communication, and recognition. Common quality management tools used in TQM include check sheets, histograms, control charts, scatter diagrams, Ishikawa diagrams, Pareto diagrams, and run charts.
6 M&E - Monitoring and Evaluation of Aid ProjectsTony
A series of course modules on project cycle, planning and the logical framework, aimed at team leaders of international NGOs in developing countries.
This is part 6 of 11, beginning with 2 modules on leadership and conflict resolution, then 9 modules on project cycle management.
This module has 3 handouts and presenter notes as separate documents.
Sample Proposal: http://www.slideshare.net/Makewa/6-watsan-training-sample-proposal-09
Slides as a handout: http://www.slideshare.net/Makewa/6-me-handout
Presenter notes: http://www.slideshare.net/Makewa/6-module-6-presenter-notes
Quality tools, data collection and indicatorsAlaa Elbaraa
1) The document discusses quality tools, data collection, and indicators for healthcare quality improvement. It defines key quality concepts like appropriateness, efficacy, effectiveness, and efficiency.
2) Quality improvement methodologies like the Juran Trilogy, PDCA cycle, and tools for teams, process analysis, planning, problem solving, and data collection are explained.
3) The importance of measuring performance through indicators is emphasized to monitor processes, compare performance over time and against others, and identify areas for improvement. Structure, process, and outcome indicators are described.
The document outlines learning techniques for assessing the environment, allocating resources, and contemporary planning techniques. It describes approaches to environmental scanning, competitor intelligence, and forecasting. It also defines types of resources, budgets, scheduling charts, linear programming, and scenario and contingency planning. Project management is discussed as getting activities done on time, within budget and specifications by defining goals, identifying requirements, and determining completion sequence.
This document discusses HR analytics, including core concepts, stages of analytics, types of analytical models, analytics domains, tools and software, and case studies. It provides an overview of business intelligence and analytics, then discusses HR analytics in depth. Key areas covered for HR analytics include what is currently measured, what could be measured, predictive possibilities like turnover modeling, and examples of advanced predictive analyses. Real-world case studies are presented on companies that have successfully used analytics for outcomes like reducing attrition and identifying high performers. The importance of HR analytics as an organizational function is highlighted.
A needs analysis involves comparing current conditions to desired goals to understand performance problems. It can be extensive, using large sample sizes for general understanding, or intensive, using smaller samples for in-depth cause-and-effect analysis. Performing a needs analysis involves gap analysis, identifying priorities, outlining a methodology, gathering and analyzing both quantitative and qualitative data, presenting findings, and making conclusions and recommendations. An example needs assessment addressed gender-based violence in schools in Africa through stakeholder interviews, performances, photo voices, drawings, and documentaries to develop an action plan.
This document discusses different approaches to analyzing qualitative and quantitative data from research. It addresses questions like what types of data are common, how to find meanings and patterns, and how to display results effectively. The document provides an overview of quantitative data analysis methods like statistical tests and summarizing data in tables and charts. It also discusses qualitative data analysis, including reducing and organizing text data, coding, conceptualizing, and interpreting meanings. The goal is to help researchers choose appropriate analysis methods based on their research questions, methodological approach, and type of data collected.
E-commerce Development Services- Hornet DynamicsHornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
What is Master Data Management by PiLog Groupaymanquadri279
PiLog Group's Master Data Record Manager (MDRM) is a sophisticated enterprise solution designed to ensure data accuracy, consistency, and governance across various business functions. MDRM integrates advanced data management technologies to cleanse, classify, and standardize master data, thereby enhancing data quality and operational efficiency.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
SMS API Integration in Saudi Arabia| Best SMS API ServiceYara Milbes
Discover the benefits and implementation of SMS API integration in the UAE and Middle East. This comprehensive guide covers the importance of SMS messaging APIs, the advantages of bulk SMS APIs, and real-world case studies. Learn how CEQUENS, a leader in communication solutions, can help your business enhance customer engagement and streamline operations with innovative CPaaS, reliable SMS APIs, and omnichannel solutions, including WhatsApp Business. Perfect for businesses seeking to optimize their communication strategies in the digital age.
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
3. Lean approach - measure
Measure CT and throughput.
Don’t mix different work types.
Break the work into similar size items.
Visualize and control your metrics.
Improve.
4. Cycle Time and WIP
Measure your team Cycle Time.
Make sure that WIP is constant (Little's law).
Provide transparency on metrics to team and stakeholders.
Use numbers for communication.
5. Introduce Work Item types
What are typical types of work team
does ?
Diffrent size, complexity, treatment,
required skills, process, ...
Measure values and set Service
Level Expectation.
Source: https://www.engage3.com/dynamic-solutions/
6. Don’t focus on average CT
Most teams starts with average Cycle Time.
What is average of 5 and 20 ? Is it useful ?
Use 85th Percentile for SLE.
Use control charts to visualize metric.
7. Ageing – leading indicator
Put dot on a card during
standup (or SOS).
Mark dots red if card
seems to take long.
Discuss during standup
and swarm if needed.
9. Summary
Stable metrics can replace estimations.
They are easy to collect.
It is harder to argue with numbers.
No negative impact on productivity.
Transparent metrics reduce need for status reports.