Download Free Standardizing Mammogram Screening In Primary Care Integrating An Evidence Based Approach Book in PDF and EPUB Free Download. You can read online Standardizing Mammogram Screening In Primary Care Integrating An Evidence Based Approach and write the review.

Abstract Background: Mammogram screening for surveillance and detection of breast cancer has long been recognized as a preventative health measure for women. However, easily recognizing when to screen individual women, based on age and risk factors, lacks clear guidance and often ends in fragmented and inconsistent practices among providers. Methods: By developing and implementing the Screening Mammogram Initiation Protocol (SMIP), the desired goals of this project were to: a) align breast cancer screening recommendations to better meet individualized patient needs in primary care utilizing best practice guidelines, b) increase the rate of breast cancer screening across various demographics, and c) create a standardized screening protocol tool that increases shared decision making based on individual risk factors. Outcome measures were reflected by an increase in provider knowledge towards female breast health counseling, an increase in rates of breast cancer screening discussions, and the successful implementation of the SMIP at a local primary care clinic. Results: Responses from the pre/post knowledge and post-implementation surveys showed improved provider understanding of the current breast cancer screening guidelines for average and high-risk females as well as 90% satisfaction utilizing the SMIP in practice. Electronic data collection after nine-weeks showed an eight percent increase in referrals for women aged 40-49 eligible for breast cancer screening and seven percent increase in referrals for women aged 50-59 respectively. Conclusion: This evidence-based change in practice project improved the quality of care by enhancing preventative health delivery, contributed to increased screening, and likely impacted breast cancer morbidity, and mortality rates.
Mammography is an important tool for detecting breast cancer at an early stage. When coupled with appropriate treatment, early detection can reduce breast cancer mortality. At the request of Congress, the Food and Drug Administration (FDA) commissioned a study to examine the current practice of mammography and breast cancer detection, with a focus on the FDA's oversight via the Mammography Quality Standards Act (MQSA), to identify areas in need of improvement. Enacted in 1993, MQSA provides a general framework for ensuring national quality standards in facilities performing screening mammography, requires that each mammography facility be accredited and certified, and mandates that facilities will undergo annual inspections. This book recommends strategies for achieving continued progress in assuring mammography quality, including changes to MQSA regulation, as well as approaches that do not fall within the purview of MQSA. Specifically, this book provides recommendations aimed at improving mammography interpretation; revising MQSA regulations, inspections, and enforcement; ensuring an adequate workforce for breast cancer screening and diagnosis; and improving breast imaging quality beyond mammography.
Health literacy-the ability for individuals to obtain, process, and understand basic health information and services to facilitate appropriate health decisions-is increasingly recognized as an important facet of health care and health outcomes. Although research on health literacy has grown tremendously in the past decade, there is no widely agreed-upon framework for health literacy as a determinant of health outcomes. Most instruments focus on assessing an individual's health literacy, yet the scope of health literacy reaches far beyond an individual's skills and abilities. Health literacy occurs in the context of the health care system, and therefore measures of health literacy must also assess the demands and complexities of the health care systems with which patients interact. For example, measures are needed to determine how well the system has been organized so that it can be navigated by individuals with different levels of health literacy and how well health organizations are doing at making health information understandable and actionable. To examine what is known about measures of health literacy, the Institute of Medicine convened a workshop. The workshop, summarized in this volume, reviews the current status of measures of health literacy, including those used in the health care setting; discusses possible surrogate measures that might be used to assess health literacy; and explores ways in which health literacy measures can be used to assess patient-centered approaches to care.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
The goal of eliminating disparities in health care in the United States remains elusive. Even as quality improves on specific measures, disparities often persist. Addressing these disparities must begin with the fundamental step of bringing the nature of the disparities and the groups at risk for those disparities to light by collecting health care quality information stratified by race, ethnicity and language data. Then attention can be focused on where interventions might be best applied, and on planning and evaluating those efforts to inform the development of policy and the application of resources. A lack of standardization of categories for race, ethnicity, and language data has been suggested as one obstacle to achieving more widespread collection and utilization of these data. Race, Ethnicity, and Language Data identifies current models for collecting and coding race, ethnicity, and language data; reviews challenges involved in obtaining these data, and makes recommendations for a nationally standardized approach for use in health care quality improvement.
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.
This book provides a comprehensive description of the screening and clinical applications of digital breast tomosynthesis (DBT) and offers straightforward, clear guidance on use of the technique. Informative clinical cases are presented to illustrate how to take advantage of DBT in clinical practice. The importance of DBT as a diagnostic tool for both screening and diagnosis is increasing rapidly. DBT improves upon mammography by depicting breast tissue on a video clip made of cross‐sectional images reconstructed in correspondence with their mammographic planes of acquisition. DBT results in markedly reduced summation of overlapping breast tissue and offers the potential to improve mammographic breast cancer surveillance and diagnosis. This book will be an excellent practical teaching guide for beginners and a useful reference for more experienced radiologists.
Thousands of measures are in use today to assess health and health care in the United States. Although many of these measures provide useful information, their usefulness in either gauging or guiding performance improvement in health and health care is seriously limited by their sheer number, as well as their lack of consistency, compatibility, reliability, focus, and organization. To achieve better health at lower cost, all stakeholders - including health professionals, payers, policy makers, and members of the public - must be alert to what matters most. What are the core measures that will yield the clearest understanding and focus on better health and well-being for Americans? Vital Signs explores the most important issues - healthier people, better quality care, affordable care, and engaged individuals and communities - and specifies a streamlined set of 15 core measures. These measures, if standardized and applied at national, state, local, and institutional levels across the country, will transform the effectiveness, efficiency, and burden of health measurement and help accelerate focus and progress on our highest health priorities. Vital Signs also describes the leadership and activities necessary to refine, apply, maintain, and revise the measures over time, as well as how they can improve the focus and utility of measures outside the core set. If health care is to become more effective and more efficient, sharper attention is required on the elements most important to health and health care. Vital Signs lays the groundwork for the adoption of core measures that, if systematically applied, will yield better health at a lower cost for all Americans.
A state-of-the-art review of key topics in medical image perception science and practice, including associated techniques, illustrations and examples. This second edition contains extensive updates and substantial new content. Written by key figures in the field, it covers a wide range of topics including signal detection, image interpretation and advanced image analysis (e.g. deep learning) techniques for interpretive and computational perception. It provides an overview of the key techniques of medical image perception and observer performance research, and includes examples and applications across clinical disciplines including radiology, pathology and oncology. A final chapter discusses the future prospects of medical image perception and assesses upcoming challenges and possibilities, enabling readers to identify new areas for research. Written for both newcomers to the field and experienced researchers and clinicians, this book provides a comprehensive reference for those interested in medical image perception as means to advance knowledge and improve human health.
Dr. Kopans' best-selling text and reference on breast imaging is now in its thoroughly revised, updated Third Edition. The author combines a complete, superbly illustrated atlas of imaging findings with a comprehensive text that covers all imaging modalities and addresses all aspects of breast imaging--including breast anatomy, histology, physiology, pathology, breast cancer staging, and preoperative localization of occult lesions. This edition includes state-of-the-art information on a new modality, breast tomosynthesis, as well as on digital mammography, MRI, ultrasound, and percutaneous breast biopsy. The book contains more than 1,500 images obtained with the latest technology, including many new mammograms and scans using other imaging modalities. FEATURES: - Information on anatomy, histology, physiology, pathology, breast cancer staging, and preoperative localization of occult lesions - Discusses breast disease from a wider viewpoint than just how to perform and interpret mammography NEW TO THIS EDITION: - Digital mammography - Major revisions in the MRI, ultrasound, and interventional sections - Updated figures included in this edition - Updated information on MR, US, and percutaneous breast biopsy