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| data analysis and quality improvement initiative proposal: Registries for Evaluating Patient Outcomes Agency for Healthcare Research and Quality/AHRQ, 2014-04-01 This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. |
| data analysis and quality improvement initiative proposal: The Improvement Guide Gerald J. Langley, Ronald D. Moen, Kevin M. Nolan, Thomas W. Nolan, Clifford L. Norman, Lloyd P. Provost, 2009-06-03 This new edition of this bestselling guide offers an integrated approach to process improvement that delivers quick and substantial results in quality and productivity in diverse settings. The authors explore their Model for Improvement that worked with international improvement efforts at multinational companies as well as in different industries such as healthcare and public agencies. This edition includes new information that shows how to accelerate improvement by spreading changes across multiple sites. The book presents a practical tool kit of ideas, examples, and applications. |
| data analysis and quality improvement initiative proposal: The Practitioner's Guide to Data Quality Improvement David Loshin, 2010-11-22 The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. - Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. - Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. - Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. |
| data analysis and quality improvement initiative proposal: Patient Safety and Quality Ronda Hughes, 2008 Nurses play a vital role in improving the safety and quality of patient car -- not only in the hospital or ambulatory treatment facility, but also of community-based care and the care performed by family members. Nurses need know what proven techniques and interventions they can use to enhance patient outcomes. To address this need, the Agency for Healthcare Research and Quality (AHRQ), with additional funding from the Robert Wood Johnson Foundation, has prepared this comprehensive, 1,400-page, handbook for nurses on patient safety and quality -- Patient Safety and Quality: An Evidence-Based Handbook for Nurses. (AHRQ Publication No. 08-0043). - online AHRQ blurb, http://www.ahrq.gov/qual/nurseshdbk/ |
| data analysis and quality improvement initiative proposal: Improving Healthcare Quality in Europe Characteristics, Effectiveness and Implementation of Different Strategies OECD, World Health Organization, 2019-10-17 This volume, developed by the Observatory together with OECD, provides an overall conceptual framework for understanding and applying strategies aimed at improving quality of care. Crucially, it summarizes available evidence on different quality strategies and provides recommendations for their implementation. This book is intended to help policy-makers to understand concepts of quality and to support them to evaluate single strategies and combinations of strategies. |
| data analysis and quality improvement initiative proposal: Health Care Reform United States. Congress. House. Committee on Energy and Commerce, 1994 |
| data analysis and quality improvement initiative proposal: Health Care Reform United States. Congress. House. Committee on Ways and Means. Subcommittee on Health, 1993 |
| data analysis and quality improvement initiative proposal: Improving Health in the Community Institute of Medicine, Committee on Using Performance Monitoring to Improve Community Health, 1997-05-21 How do communities protect and improve the health of their populations? Health care is part of the answer but so are environmental protections, social and educational services, adequate nutrition, and a host of other activities. With concern over funding constraints, making sure such activities are efficient and effective is becoming a high priority. Improving Health in the Community explains how population-based performance monitoring programs can help communities point their efforts in the right direction. Within a broad definition of community health, the committee addresses factors surrounding the implementation of performance monitoring and explores the why and how to of establishing mechanisms to monitor the performance of those who can influence community health. The book offers a policy framework, applies a multidimensional model of the determinants of health, and provides sets of prototype performance indicators for specific health issues. Improving Health in the Community presents an attainable vision of a process that can achieve community-wide health benefits. |
| data analysis and quality improvement initiative proposal: Improving Health Care in Low- and Middle-Income Countries Lani Rice Marquez, 2020-05-26 This open access book is a collection of 12 case studies capturing decades of experience improving health care and outcomes in low- and middle-income countries. Each case study is written by healthcare managers and providers who have implemented health improvement projects using quality improvement methodology, with analysis from global health experts on the practical application of improvement methods. The book shows how frontline providers in health and social services can identify gaps in care, propose changes to address those gaps, and test the effectiveness of their changes in order to improve health processes and outcomes. The chapters feature cases that provide real-life examples of the challenges, solutions, and benefits of improving healthcare quality and clearly demonstrate for readers what quality improvement looks like in practice:Addressing Behavior Change in Maternal, Neonatal, and Child Health with Quality Improvement and Collaborative Learning Methods in GuatemalaHaiti’s National HIV Quality Management Program and the Implementation of an Electronic Medical Record to Drive Improvement in Patient CareScaling Up a Quality Improvement Initiative: Lessons from Chamba District, IndiaPromoting Rational Use of Antibiotics in the Kyrgyz RepublicStrengthening Services for Most Vulnerable Children through Quality Improvement Approaches in a Community Setting: The Case of Bagamoyo District, TanzaniaImproving HIV Counselling and Testing in Tuberculosis Service Delivery in Ukraine: Profile of a Pilot Quality Improvement Team and Its Scale‐Up JourneyImproving Health Care in Low- and Middle-Income Countries: A Case Book will find an engaged audience among healthcare providers and administrators implementing and managing improvement projects at Ministries of Health in low- to middle-income countries. The book also aims to be a useful reference for government donor agencies, their implementing partners, and other high-level decision makers, and can be used as a course text in schools of public health, public policy, medicine, and development. ACKNOWLEDGMENT:This work was conducted under the USAID Applying Science to Strengthen and Improve Systems (ASSIST) Project, USAID Award No. AID-OAA-A-12-00101, which is made possible by the generous support of the American people through the U.S. Agency for International Development (USAID). DISCLAIMER:The contents of this book are the sole responsibility of the Editor(s) and do not necessarily reflect the views of USAID or the United States Government. div=^ |
| data analysis and quality improvement initiative proposal: Improving Quality of Care in Low- and Middle-Income Countries National Academies of Sciences, Engineering, and Medicine, Institute of Medicine, Board on Global Health, 2015-11-19 Quality of care is a priority for U.S. Agency for International Development (USAID). The agency's missions abroad and their host country partners work in quality improvement, but a lack of evidence about the best ways to facilitate such improvements has constrained their informed selection of interventions. Six different methods - accreditation, COPE, improvement collaborative, standards-based management and recognitions (SBM-R), supervision, and clinical in-service training - currently make up the majority of this investment for USAID missions. As their already substantial investment in quality grows, there is demand for more scientific evidence on how to reliably improve quality of care in poor countries. USAID missions, and many other organizations spending on quality improvement, would welcome more information about how different strategies work to improve quality, when and where certain tools are most effective, and the best ways to measure success and shortcomings. To gain a better understanding of the evidence supporting different quality improvement tools and clarity on how they would help advance the global quality improvement agenda, the Institute of Medicine convened a 2-day workshop in January 2015. The workshop's goal was to illuminate these different methods, discussing their pros and cons. This workshop summary is a description of the presentations and discussions. |
| data analysis and quality improvement initiative proposal: Executing Data Quality Projects Danette McGilvray, 2021-05-27 Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today's data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization's standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. - Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach - Contains real examples from around the world, gleaned from the author's consulting practice and from those who implemented based on her training courses and the earlier edition of the book - Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices - A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online |
| data analysis and quality improvement initiative proposal: Keeping Patients Safe Institute of Medicine, Board on Health Care Services, Committee on the Work Environment for Nurses and Patient Safety, 2004-03-27 Building on the revolutionary Institute of Medicine reports To Err is Human and Crossing the Quality Chasm, Keeping Patients Safe lays out guidelines for improving patient safety by changing nurses' working conditions and demands. Licensed nurses and unlicensed nursing assistants are critical participants in our national effort to protect patients from health care errors. The nature of the activities nurses typically perform †monitoring patients, educating home caretakers, performing treatments, and rescuing patients who are in crisis †provides an indispensable resource in detecting and remedying error-producing defects in the U.S. health care system. During the past two decades, substantial changes have been made in the organization and delivery of health care †and consequently in the job description and work environment of nurses. As patients are increasingly cared for as outpatients, nurses in hospitals and nursing homes deal with greater severity of illness. Problems in management practices, employee deployment, work and workspace design, and the basic safety culture of health care organizations place patients at further risk. This newest edition in the groundbreaking Institute of Medicine Quality Chasm series discusses the key aspects of the work environment for nurses and reviews the potential improvements in working conditions that are likely to have an impact on patient safety. |
| data analysis and quality improvement initiative proposal: Intervention Research Bernadette Mazurek Melnyk, PhD, APRN-CNP, FAANP, FNAP, FAAN, Dianne Morrison-Beedy, PhD, RN, WHNP, FNAP, FAANP, FAAN, 2012-04-23 2012 First Place AJN Book of the Year Award Winner in Nursing Research! This is a resource for success and should be a part of any researcher's library.--Doody's Medical Reviews This book is a practical, user-friendly guide for health care researchers across multiple disciplines who are involved in intervention research. It provides all of the essential elements needed for understanding how to design, conduct, analyze, and fund intervention studies that are replicable and can withstand the scrutiny of the Institutional Review Board and peer review. Developed from an annual continuing education workshop on intervention studies conducted by Dr. Melnyk, this text is the most comprehensive body of information available on this topic. Contributors address the design of interventions that are ethically considerate and sensitive to culture, race/ethnicity, and gender, minimizing threats to external and internal validity, measurement, and budgeting. The guide explores such implementation issues as subject recruitment and retention, data management, and specialized settings, cost analysis, and explaining intervention effects. The text also guides readers in writing grant applications that fund , and addresses how to move intervention study findings into the real world. A unique addition to the book is the availability of digital examples of progress reports, final reports, and research grant applications that have received funding from the National Institutes of Health and other relevant organizations. This text is a valuable resource for all health care professionals conducting research and for doctoral students in health care studies. Key Features: Presents the essential tools for designing, conducting, analyzing, and funding intervention studies Designed for use by health care professionals conducting intervention research Provides comprehensive, accessible guidelines for doctoral students across all health care disciplines Instructs readers on writing grant applications that fund Includes digital examples of funded research grants, progress reports, and final reports |
| data analysis and quality improvement initiative proposal: Beyond the HIPAA Privacy Rule Institute of Medicine, Board on Health Care Services, Board on Health Sciences Policy, Committee on Health Research and the Privacy of Health Information: The HIPAA Privacy Rule, 2009-03-24 In the realm of health care, privacy protections are needed to preserve patients' dignity and prevent possible harms. Ten years ago, to address these concerns as well as set guidelines for ethical health research, Congress called for a set of federal standards now known as the HIPAA Privacy Rule. In its 2009 report, Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research, the Institute of Medicine's Committee on Health Research and the Privacy of Health Information concludes that the HIPAA Privacy Rule does not protect privacy as well as it should, and that it impedes important health research. |
| data analysis and quality improvement initiative proposal: The Medicare and Choice Program After One Year United States. Congress. House. Committee on Commerce. Subcommittee on Health and the Environment, 2000-07 Hearing on the first year of the Medicare & Choice options, which are coordinate care plans. Witnesses: Bruce E. Bradley, Dir., Managed Care Plans, General Motors Corp.; Judith Feder, Prof. of Public Policy, Georgetown Univ.; Bill Gradison, Pres., Health Insurance Assoc. of Amer.; Michael Hash, Deputy Administrator, Health Care Financing Admin.; Karen Ignagni, Pres. & CEO, Amer. Assoc. of Health Plans; Patricia A. Riley, V.P., Government Relations, Allina Health System; Donald P. Sacco, CEO, Blue Cross Blue Shield of Oregon, accompanied by Mary Nell Lehnhard, Sr. V.P. of Blue Cross Blue Shield Assoc. |
| data analysis and quality improvement initiative proposal: Return on Investment for Healthcare Quality Improvement Craig A. Solid, 2020-06-09 This book offers a comprehensive overview of performing return-on-investment (ROI) analyses for healthcare quality improvement (QI). In the United States, healthcare policy regarding physician and facility payment/reimbursement is steadily trending towards the use of “value-based” systems and away from the traditional “fee-for-service” (FFS) payment mechanisms. Healthcare professionals and organizations who have previously focused on quality metrics are now finding themselves burdened with having to define and assess value metrics, without much guidance or assistance. This volume aims to be a guide and a reference for healthcare professionals tasked with estimating and establishing ROI for QI. Chapters describe the general framework for how to perform QI; establish standard definitions of important terms, concepts, and calculations; and provide specific instructions for how to complete each step of an ROI analysis. These include: selecting a QI initiative and identifying the associated metrics, establishing measurable, monetizable, and attributable costs and benefits, determining the appropriate scope and perspective, calculating ROI and related metrics (payback period, benefit-to-cost ratio, etc.), comparing with established benchmarks or previously published results, and interpreting the results for the intended audience. In addition, chapters offer examples of real studies (or hypothetical studies of real situations), as well as templates for several of the necessary activities that readers can leverage for their own use. Return on Investment for Healthcare Quality Improvement is a must-have resource for healthcare providers, administrators, and other professionals who work in healthcare organizations, hospitals and other healthcare settings, health systems, and residency programs seeking to obtain outside funding, as well as policy makers and administrators of federal programs. |
| data analysis and quality improvement initiative proposal: Patient Safety Institute of Medicine, Board on Health Care Services, Committee on Data Standards for Patient Safety, 2003-12-20 Americans should be able to count on receiving health care that is safe. To achieve this, a new health care delivery system is needed †a system that both prevents errors from occurring, and learns from them when they do occur. The development of such a system requires a commitment by all stakeholders to a culture of safety and to the development of improved information systems for the delivery of health care. This national health information infrastructure is needed to provide immediate access to complete patient information and decision-support tools for clinicians and their patients. In addition, this infrastructure must capture patient safety information as a by-product of care and use this information to design even safer delivery systems. Health data standards are both a critical and time-sensitive building block of the national health information infrastructure. Building on the Institute of Medicine reports To Err Is Human and Crossing the Quality Chasm, Patient Safety puts forward a road map for the development and adoption of key health care data standards to support both information exchange and the reporting and analysis of patient safety data. |
| data analysis and quality improvement initiative proposal: Crossing the Quality Chasm Institute of Medicine, Committee on Quality of Health Care in America, 2001-07-19 Second in a series of publications from the Institute of Medicine's Quality of Health Care in America project Today's health care providers have more research findings and more technology available to them than ever before. Yet recent reports have raised serious doubts about the quality of health care in America. Crossing the Quality Chasm makes an urgent call for fundamental change to close the quality gap. This book recommends a sweeping redesign of the American health care system and provides overarching principles for specific direction for policymakers, health care leaders, clinicians, regulators, purchasers, and others. In this comprehensive volume the committee offers: A set of performance expectations for the 21st century health care system. A set of 10 new rules to guide patient-clinician relationships. A suggested organizing framework to better align the incentives inherent in payment and accountability with improvements in quality. Key steps to promote evidence-based practice and strengthen clinical information systems. Analyzing health care organizations as complex systems, Crossing the Quality Chasm also documents the causes of the quality gap, identifies current practices that impede quality care, and explores how systems approaches can be used to implement change. |
| data analysis and quality improvement initiative proposal: Medicare Institute of Medicine, Committee to Design a Strategy for Quality Review and Assurance in Medicare, 1990-02-01 Health care for the elderly American is among our nation's more pressing social issues. Our society wishes to ensure quality health care for all older people, but there is growing concern about our ability to maintain and improve quality in the face of efforts to contain health care costs. Medicare: A Strategy for Quality Assurance answers the U.S. Congress' call for the Institute of Medicine to design a strategic plan for assessing and assuring the quality of medical care for the elderly. This book presents a proposed strategic plan for improving quality assurance in the Medicare program, along with steps and timetables for implementing the plan by the year 2000 and the 10 recommendations for action by Congress. The book explores quality of careâ€how it is defined, measured, and improvedâ€and reviews different types of quality problems. Major issues that affect approaches to assessing and assuring quality are examined. Medicare: A Strategy for Quality Assurance will be immediately useful to a wide audience, including policymakers, health administrators, individual providers, specialists in issues of the older American, researchers, educators, and students. |
| data analysis and quality improvement initiative proposal: Health Care Reform: Issues relating to medical malpractice, May 20, 1993 United States. Congress. House. Committee on Ways and Means. Subcommittee on Health, 1994 |
| data analysis and quality improvement initiative proposal: Agile Estimation Techniques and Innovative Approaches to Software Process Improvement Colomo-Palacios, Ricardo, 2014-02-28 Applying methodologies of Software Process Improvement (SPI) is an effective way for businesses to remain competitive in the software industry. However, many organizations find implementing software process initiatives challenging. Agile Estimation Techniques and Innovative Approaches to Software Process Improvement reviews current SPI techniques and applications through discussions on current and future trends as well as the presentation of case studies on SPI implementation. Ideal for use by academics, students, and policy-makers, as well as industry professionals and managers, this publication provides a complete overview of current tools and methodologies regarding Software Process Improvement. |
| data analysis and quality improvement initiative proposal: The Medicare+Choice Program After One Year United States. Congress. House. Committee on Commerce. Subcommittee on Health and the Environment, 1999 |
| data analysis and quality improvement initiative proposal: 2017 12th Iberian Conference on Information Systems and Technologies (CISTI) IEEE Staff, 2017-06-21 CISTI is a technical and scientific event, whose purpose is to present and discuss knowledge, new perspectives, experiences and innovations in the Information Systems and Technologies field |
| data analysis and quality improvement initiative proposal: A guide to quality improvement methods Healthcare Quality Improvement Partnership (HQIP), 2015-07-29 A guide to quality improvement methods from Healthcare Quality Improvement Partnership (HQIP) brings together twelve quality improvement (QI) methods, providing an overview of each and practical advice on how and when to implement them, with illustrative case examples. QI methods covered include clinical audit; Plan, Do, Study, Act; model for improvement; LEAN/Six Sigma; performance benchmarking, process mapping and statistical process control and it is aimed at all professionals with an interest in QI. The purpose of this guidance is to signpost those working within, leading, commissioning and using healthcare services to a broad range of quality improvement methods. It should be especially useful to those putting together quality improvement programmes. |
| data analysis and quality improvement initiative proposal: How Do You Get Clinicians Involved in Quality Improvement? Tom Ling, 2010 |
| data analysis and quality improvement initiative proposal: Master Data Management David Loshin, 2010-07-28 The key to a successful MDM initiative isn't technology or methods, it's people: the stakeholders in the organization and their complex ownership of the data that the initiative will affect.Master Data Management equips you with a deeply practical, business-focused way of thinking about MDM—an understanding that will greatly enhance your ability to communicate with stakeholders and win their support. Moreover, it will help you deserve their support: you'll master all the details involved in planning and executing an MDM project that leads to measurable improvements in business productivity and effectiveness. - Presents a comprehensive roadmap that you can adapt to any MDM project - Emphasizes the critical goal of maintaining and improving data quality - Provides guidelines for determining which data to master. - Examines special issues relating to master data metadata - Considers a range of MDM architectural styles - Covers the synchronization of master data across the application infrastructure |
| data analysis and quality improvement initiative proposal: Multi-Domain Master Data Management Mark Allen, Dalton Cervo, 2015-03-21 Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Authors Mark Allen and Dalton Cervo bring their expertise to you in the only reference you need to help your organization take master data management to the next level by incorporating it across multiple domains. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of topics and advanced strategies centered on the key MDM disciplines of Data Governance, Data Stewardship, Data Quality Management, Metadata Management, and Data Integration. - Provides a logical order toward planning, implementation, and ongoing management of multi-domain MDM from a program manager and data steward perspective. - Provides detailed guidance, examples and illustrations for MDM practitioners to apply these insights to their strategies, plans, and processes. - Covers advanced MDM strategy and instruction aimed at improving data quality management, lowering data maintenance costs, and reducing corporate risks by applying consistent enterprise-wide practices for the management and control of master data. |
| data analysis and quality improvement initiative proposal: The Goldilocks Challenge Mary Kay Gugerty, Dean Karlan, 2018-04-02 The social sector provides services to a wide range of people throughout the world with the aim of creating social value. While doing good is great, doing it well is even better. These organizations, whether nonprofit, for-profit, or public, increasingly need to demonstrate that their efforts are making a positive impact on the world, especially as competition for funding and other scarce resources increases. This heightened focus on impact is positive: learning whether we are making a difference enhances our ability to address pressing social problems effectively and is critical to wise stewardship of resources. Yet demonstrating efficacy remains a big hurdle for most organizations. The Goldilocks Challenge provides a parsimonious framework for measuring the strategies and impact of social sector organizations. A good data strategy starts first with a sound theory of change that helps organizations decide what elements they should monitor and measure. With a theory of change providing solid underpinning, the Goldilocks framework then puts forward four key principles, the CART principles: Credible data that are high quality and analyzed appropriately, Actionable data will actually influence future decisions; Responsible data create more benefits than costs; and Transportable data build knowledge that can be used in the future and by others. Mary Kay Gugerty and Dean Karlan combine their extensive experience working with nonprofits, for-profits and government with their understanding of measuring effectiveness in this insightful guide to thinking about and implementing evidence-based change. This book is an invaluable asset for nonprofit, social enterprise and government leaders, managers, and funders-including anyone considering making a charitable contribution to a nonprofit-to ensure that these organizations get it just right by knowing what data to collect, how to collect it, how it can be analyzed, and drawing implications from the analysis. Everyone who wants to make positive change should focus on the top priority: using data to learn, innovate, and improve program implementation over time. Gugerty and Karlan show how. |
| data analysis and quality improvement initiative proposal: Finding What Works in Health Care Institute of Medicine, Board on Health Care Services, Committee on Standards for Systematic Reviews of Comparative Effectiveness Research, 2011-07-20 Healthcare decision makers in search of reliable information that compares health interventions increasingly turn to systematic reviews for the best summary of the evidence. Systematic reviews identify, select, assess, and synthesize the findings of similar but separate studies, and can help clarify what is known and not known about the potential benefits and harms of drugs, devices, and other healthcare services. Systematic reviews can be helpful for clinicians who want to integrate research findings into their daily practices, for patients to make well-informed choices about their own care, for professional medical societies and other organizations that develop clinical practice guidelines. Too often systematic reviews are of uncertain or poor quality. There are no universally accepted standards for developing systematic reviews leading to variability in how conflicts of interest and biases are handled, how evidence is appraised, and the overall scientific rigor of the process. In Finding What Works in Health Care the Institute of Medicine (IOM) recommends 21 standards for developing high-quality systematic reviews of comparative effectiveness research. The standards address the entire systematic review process from the initial steps of formulating the topic and building the review team to producing a detailed final report that synthesizes what the evidence shows and where knowledge gaps remain. Finding What Works in Health Care also proposes a framework for improving the quality of the science underpinning systematic reviews. This book will serve as a vital resource for both sponsors and producers of systematic reviews of comparative effectiveness research. |
| data analysis and quality improvement initiative proposal: Performance Measurement for Health System Improvement Peter C. Smith, Elias Mossialos, Irene Papanicolas, Sheila Leatherman, 2010-01-07 In a world where there is increasing demand for the performance of health providers to be measured, there is a need for a more strategic vision of the role that performance measurement can play in securing health system improvement. This volume meets this need by presenting the opportunities and challenges associated with performance measurement in a framework that is clear and easy to understand. It examines the various levels at which health system performance is undertaken, the technical instruments and tools available, and the implications using these may have for those charged with the governance of the health system. Technical material is presented in an accessible way and is illustrated with examples from all over the world. Performance Measurement for Health System Improvement is an authoritative and practical guide for policy makers, regulators, patient groups and researchers. |
| data analysis and quality improvement initiative proposal: Prehospital Research Methods and Practice Aloysius Niroshan Siriwardena, Gregory Adam Whitley, 2022-04-11 Bringing together a team of leading international experts in the field of research, this book provides an up-to-date and accessible overview of applied research methods in the prehospital environment. Written to support the needs of the paramedicine, emergency medicine and wider healthcare communities in this rapidly advancing research setting, the authors introduce the key areas of research design and methods, evidence-based practice, ethics and quality improvement for both the novice and the more advanced researcher. Relevant examples of prehospital research are also included to fully explain and illustrate the key approaches. High-quality, robust evidence is of the utmost importance to inform prehospital clinical practice and ensure better patient care. This book is essential reading for anyone interested in undertaking research within the prehospital or emergency care setting, including undergraduate and postgraduate students in paramedic science, medicine, nursing and allied health. |
| data analysis and quality improvement initiative proposal: Research Anthology on Telemedicine Efficacy, Adoption, and Impact on Healthcare Delivery Management Association, Information Resources, 2021-01-15 Telemedicine, which involves electronic communications and software, provides the same clinical services to patients without the requirement of an in-person visit. Essentially, this is considered remote healthcare. Though telemedicine is not a new practice, it has become an increasingly popular form of healthcare delivery due to current events, including the COVID-19 pandemic. Not only are visits being moved onto virtual platforms, but additional materials and correspondence can remain in the digital sphere. Virtual lab results, digital imaging, medical diagnosis, and video consultations are just a few examples that encompass how telemedicine can be used for increased accessibility in healthcare delivery. With telemedicine being used in both the diagnosis and treatment of patients, technology in healthcare can be implemented at almost any phase of the patient experience. As healthcare delivery follows the digital shift, it is important to understand the technologies, benefits and challenges, and overall impacts of the remote healthcare experience. The Research Anthology on Telemedicine Efficacy, Adoption, and Impact on Healthcare Delivery presents the latest research on best practices for adopting telehealth into medical practices and its efficacy and solutions for the improvement of telemedicine, as well as addresses emerging challenges and opportunities, including issues such as securing patient data and providing healthcare accessibility to rural populations. Covering important themes that include doctor-patient relationships, tele-wound monitoring, and telemedicine regulations, this book is essential for healthcare professionals, doctors, medical students, academic and medical libraries, medical technologists, practitioners, stakeholders, researchers, academicians, and students interested in the emerging technological developments and solutions within the field of telemedicine. |
| data analysis and quality improvement initiative proposal: Army RD & A. , 1997 Professional publication of the RD & A community. |
| data analysis and quality improvement initiative proposal: Performance Measurement Institute of Medicine, Board on Health Care Services, Committee on Redesigning Health Insurance Performance Measures, Payment, and Performance Improvement Programs, 2006-07-09 Performance Measurement is the first in a new series of an ongoing effort by the Institute of Medicine (IOM) to improve health care quality. Performance Measurement offers a comprehensive review of available measures and introduces a new framework to examine these measures against the six aims of the health care system: health care should be safe, effective, patient-centered, timely, efficient, and equitable. This new book also addresses the gaps in performance measurement and introduces the need for measures that are longitudinal, comprehensive, population-based, and patient-centered. This book is directed toward all concerned with improving the quality and performance of the nation's health care system in its multiple dimensions and in both the public and private sectors. |
| data analysis and quality improvement initiative proposal: Financial and Business Management for the Doctor of Nursing Practice KT Waxman, 2013 Print+CourseSmart |
| data analysis and quality improvement initiative proposal: Process Mining in Healthcare Ronny S. Mans, Wil M. P. van der Aalst, Rob J. B. Vanwersch, 2015-03-12 What are the possibilities for process mining in hospitals? In this book the authors provide an answer to this question by presenting a healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the relationships between them. Subsequently, based on this reference model, they explain the application opportunities for process mining in this domain and discuss the various kinds of analyses that can be performed. They focus on organizational healthcare processes rather than medical treatment processes. The combination of event data and process mining techniques allows them to analyze the operational processes within a hospital based on facts, thus providing a solid basis for managing and improving processes within hospitals. To this end, they also explicitly elaborate on data quality issues that are relevant for the data aspects of the healthcare reference model. This book mainly targets advanced professionals involved in areas related to business process management, business intelligence, data mining, and business process redesign for healthcare systems as well as graduate students specializing in healthcare information systems and process analysis. |
| data analysis and quality improvement initiative proposal: Guidelines on Core Components of Infection Prevention and Control Programmes at the National and Acute Health Care Facility Level World Health Organization, 2017-01-31 Health care-associated infections (HAI) are one of the most common adverse events in care delivery and a major public health problem with an impact on morbidity, mortality and quality of life. At any one time, up to 7% of patients in developed and 10% in developing countries will acquire at least one HAI. These infections also present a significant economic burden at the societal level. However, a large percentage are preventable through effective infection prevention and control (IPC) measures. These new guidelines on the core components of IPC programmes at the national and facility level will enhance the capacity of Member States to develop and implement effective technical and behaviour modifying interventions. They form a key part of WHO strategies to prevent current and future threats from infectious diseases such as Ebola, strengthen health service resilience, help combat antimicrobial resistance (AMR) and improve the overall quality of health care delivery. They are also intended to support countries in the development of their own national protocols for IPC and AMR action plans and to support health care facilities as they develop or strengthen their own approaches to IPC. These are the first international evidence-based guidelines on the core components of IPC programmes. These new WHO guidelines are applicable for any country and suitable to local adaptations, and take account of the strength of available scientific evidence, the cost and resource implications, and patient values and preferences. |
| data analysis and quality improvement initiative proposal: High Quality Care for All Secretary of State for Health, 2008 This review incorporates the views and visions of 2,000 clinicians and other health and social care professionals from every NHS region in England, and has been developed in discussion with patients, carers and the general public. The changes proposed are locally-led, patient-centred and clinically driven. Chapter 2 identifies the challenges facing the NHS in the 21st century: ever higher expectations; demand driven by demographics as people live longer; health in an age of information and connectivity; the changing nature of disease; advances in treatment; a changing health workplace. Chapter 3 outlines the proposals to deliver high quality care for patients and the public, with an emphasis on helping people to stay healthy, empowering patients, providing the most effective treatments, and keeping patients as safe as possible in healthcare environments. The importance of quality in all aspects of the NHS is reinforced in chapter 4, and must be understood from the perspective of the patient's safety, experience in care received and the effectiveness of that care. Best practice will be widely promoted, with a central role for the National Institute for Health and Clinical Excellence (NICE) in expanding national standards. This will bring clarity to the high standards expected and quality performance will be measured and published. The review outlines the need to put frontline staff in control of this drive for quality (chapter 5), with greater freedom to use their expertise and skill and decision-making to find innovative ways to improve care for patients. Clinical and managerial leadership skills at the local level need further development, and all levels of staff will receive support through education and training (chapter 6). The review recommends the introduction of an NHS Constitution (chapter 7). The final chapter sets out the means of implementation. |
| data analysis and quality improvement initiative proposal: Continuous Quality Improvement in Health Care Curtis P. McLaughlin, Arnold D. Kaluzny, 2004 Health Administration |
| data analysis and quality improvement initiative proposal: Quality Improvement, An Issue of Nursing Clinics Treasa "Susie" Leming-Lee, Rick Watters, 2019-02-06 With collaboration of Dr. Steve Krau, Consulting Editor, Drs. Leming-Lee and Watters have created an issue that provides state-of-the-art content on quality improvement. Top authors have contributed clinical reviews on the following topics: Quality improvement: Application of evidence-based practice; The application of the Virginia Mason production system to improve large scale quality outcomes in an acute care hospital; The application of the Toyota production system Lean 5S methodology in the operating room setting; Chart it to stop it: A quality improvement project to increase the reporting of workplace aggression; Reducing pressure injuries in the pediatric intensive care unit; Improving stress-induced hyperglycemic management in the ICU setting; Evaluation of telemetry utilization on medical-surgical floors; Implementation of a nurse-driven CAUTI prevention protocol; A quality improvement project to test the effectiveness of a patient-centered pathway and discharge tool on heart failure patient engagement; Diabetes self-management education provision by an interprofessional collaborative team: A quality improvement project; Increasing effective patient-triage nurse communication using a targeted history question; and Barriers to the implementation of pediatric overweight and obesity guidelines in a school-based health center. Nurses will come away with the current information they need to improve patient outcomes. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a Transnationa…
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and …
Belmont Forum Adopts Open Data Principles for Environmental Chan…
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes …
