[PDF] Utilizing Real Time Location Data For Performance Monitoring In Healthcare Systems eBook

Author : Cenk Demir
Publisher :
Page : 184 pages
File Size : 31,73 MB
Release : 2009
Category : Medical care
ISBN :

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Although both public and private healthcare expenditures have been very high in the US when compared to other wealthy and industrialized nations; the quality and reach of services provided have constantly been in dispute. For that reason, improving the efficiency of healthcare services has emerged to be an important goal. However, the unpredictable and complex nature of the healthcare environments makes this goal difficult to achieve. Recently industrial engineering methods started being applied to improve hospital efficiencies. In addition, the utilization of technological advancements such as RFID based real time location systems (RTLS) in the healthcare sector provides an additional opportunity to apply industrial engineering methods to healthcare. In this thesis, a data transformation and analysis framework is developed to be employed as part of a RTLS schema in a hospital unit. This framework consists of a software agent that is capable of monitoring, analyzing and predicting the performance of a process from RTLS data. The software agent performs its task by means of several statistical methods customized for specific purposes. It can identify steady state behavior, changes in the mean and transient states such as learning curves. Its main purpose is to detect the effects of modifications on the system and forecast the future performance level. A simulation model is built to produce tracking data of entities in a hypothetical hospital unit to be fed into the software agent via a database structure. This completes the framework and enables the testing of the developed agent using realistic data. RTLSs typically suffer from accuracy issues which result in imperfect tracking data. This makes performance monitoring very infeasible or even impossible. To overcome this issue, a data cleaning algorithm is developed which can be fully integrated with the developed performance agent. The algorithm utilizes a Bayesian approach in a sliding window analysis. Testing of the data cleaning algorithm is performed for various scenarios.

Author : Bradford W. Hesse
Publisher : Academic Press
Page : 449 pages
File Size : 23,80 MB
Release : 2016-03-17
Category : Computers
ISBN : 0128022000

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Oncology Informatics: Using Health Information Technology to Improve Processes and Outcomes in Cancer Care encapsulates National Cancer Institute-collected evidence into a format that is optimally useful for hospital planners, physicians, researcher, and informaticians alike as they collectively strive to accelerate progress against cancer using informatics tools. This book is a formational guide for turning clinical systems into engines of discovery as well as a translational guide for moving evidence into practice. It meets recommendations from the National Academies of Science to "reorient the research portfolio" toward providing greater "cognitive support for physicians, patients, and their caregivers" to "improve patient outcomes." Data from systems studies have suggested that oncology and primary care systems are prone to errors of omission, which can lead to fatal consequences downstream. By infusing the best science across disciplines, this book creates new environments of "Smart and Connected Health." Oncology Informatics is also a policy guide in an era of extensive reform in healthcare settings, including new incentives for healthcare providers to demonstrate "meaningful use" of these technologies to improve system safety, engage patients, ensure continuity of care, enable population health, and protect privacy. Oncology Informatics acknowledges this extraordinary turn of events and offers practical guidance for meeting meaningful use requirements in the service of improved cancer care. Anyone who wishes to take full advantage of the health information revolution in oncology to accelerate successes against cancer will find the information in this book valuable. Presents a pragmatic perspective for practitioners and allied health care professionals on how to implement Health I.T. solutions in a way that will minimize disruption while optimizing practice goals Proposes evidence-based guidelines for designers on how to create system interfaces that are easy to use, efficacious, and timesaving Offers insight for researchers into the ways in which informatics tools in oncology can be utilized to shorten the distance between discovery and practice

Author : Agency for Healthcare Research and Quality/AHRQ
Publisher : Government Printing Office
Page : 385 pages
File Size : 33,84 MB
Release : 2014-04-01
Category : Medical
ISBN : 1587634333

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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.

Author : Ajay Malik
Publisher : John Wiley & Sons
Page : 429 pages
File Size : 13,94 MB
Release : 2009-04-08
Category : Technology & Engineering
ISBN : 0470533226

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Select, invest in, and deploy a Real Time Location System Is your business ready for an RTLS? This friendly, hands-on guide shows you how to understand and implement this cutting-edge technology, explaining RTLS methodologies in plain English. From the initial deployment to monitoring to determining Return on Investment, you'll see how to successfully meet your needs, ensure data accuracy, and sustain your system. Get your bearings — understand what RTLS does and its various methodologies, determine your needs, and select the right system Prepare for installation — outline your goals, plan your applications, assess your site, select the right tag technology, and conduct a pilot test Implement RTLS in your world — know how to train your staff, set expectations, set up monitoring, and assess whether the RTLS is working as desired Deal with design issues — learn the most common pitfalls of RTLS implementation and how to handle them Take the technology tour — use RTLS to locate at choke points, room level, presence, by association, and precisely Monitor and secure your RTLS — verify and fine-tune your system, establish performance metrics, and manage security issues and vulnerabilities such as network attacks Open the book and find: An overview of RTLS and its uses Explanations of underlying technologies How to integrate RTLS into your other business applications Comparative detail on technologies that enable different types of locating Tips for evaluating RTLS vendors Essential RTLS resources and references Tips for getting the most out of the batteries used in tags Privacy issues related to RTLS

Author : Pawan Singh Mehra
Publisher : CRC Press
Page : 267 pages
File Size : 16,8 MB
Release : 2022-02-20
Category : Computers
ISBN : 1000541479

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This book covers the fundamentals of IoT and healthcare systems for carrying out system architectures, protocols, wearable devices, and interoperability. It explores major challenges in artificial intelligence (AI) and smart computing in resource-constrained IoT-based applications along with cost, energy efficiency, and the availability of quality service. Healthcare Systems and Health Informatics: Using Internet of Things explores the role of AI and smart computing in health informatics and healthcare with an emphasis on clinical data management and analysis for precise prediction and prompt action. It presents cutting-edge tracking, monitoring, real-time assistance, and security for IoT in healthcare and broadly discusses wearable sensors and IoT devices and their role in smart living assistance. The book goes on to describe a system model and architecture for a clear picture of energy conservation–based IoT in healthcare and explains the challenges and opportunities with IoT-based healthcare industries. A study of the threats and impacts, along with the need for information security, is also included. The chapters are written by experts in the field, and this book provides a comprehensive description of the important aspects of IoT and health from a beginner- to advanced-level perspective and is ideal for researchers, academicians, students, persons in industry, technologists, and entrepreneurs.

Author : Charles Hopkins
Publisher :
Page : 90 pages
File Size : 36,53 MB
Release : 2015
Category :
ISBN :

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Among the major industries, healthcare accounts for over ten percent of jobs today and is continuing to grow per the surges of baby boomers requiring more care, rising costs in medicine and equipment, and current legislative changes on the national level. Hospitals are continually reorganizing processes to accommodate for the growth to the cumbersome employee base. As a result, hospitals must adopt lean concepts to remain competitive. It remains a challenge for management and leadership to gauge caregiver performance and discover where inefficiencies lie in the workflow. To maintain quality of care in hospitals, nurse-rounding functions are adopted to provide comfort; pain management, safety, and an increase in overall patient satisfaction. The full rounding model also incorporates the leadership staff to participate in the process. Leadership rounding is pertinent to the rounding process, as it provides an element of upper management providing a more personable engagement with patients and acts as a facet to managing nursing staff the most effective rounding. Effectiveness of nurse rounding has been demonstrated by numerous surveys. One such survey known as the Hospital Consumer Assessment of Healthcare Providers, or HCAHPS survey acts as a performance feedback mechanism to measure the patient's quality of care during their stay at the hospital. As the growth in healthcare has increased workloads for nurses and leadership, rounding may be overlooked, which in turn, reduces HCAHPS scores. Since these survey scores dictate certain insurance percentages; much is at stake. There needs to be a mechanism to track rounding in hospitals to confirm these job tasks are being completed (Cayer, 2014). With the emerging technology provided by Real-Time Location Systems (RTLS), hospitals now have the ability to track assets, measure temperatures real-time, and track locations of staff. RTLS has the ability to monitor staff in the busy environment to find bottlenecks in workflow and monitor employee performance. However, the raw data sets are often hard to analyze and need to be converted into a form that is intelligible for managers and various stakeholders. . The purpose of this study is to develop an RTLS rounding tool that ingests and processes RTLS data captured at a local Women and Children's hospital. This study discusses the outcomes of the implementation of the RTLS tool and describes the process of generating customizable reports that can be used by the management to monitor, change, and improve rounding behavior.

Author : Piyush Kumar Shukla
Publisher : CRC Press
Page : 231 pages
File Size : 50,95 MB
Release : 2023-05-24
Category : Computers
ISBN : 1000858812

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Implementing new information technologies into the healthcare sector can provide alternatives to managing patients’ health records, systems, and improving the quality of care received. This book provides an overview of Internet of Things (IoT) technologies related to the healthcare field and covers the main advantages and disadvantages along with industry case studies. This edited volume covers required standardization and interoperability initiatives, various Artificial Intelligence and Machine Learning algorithms, and discusses how health technology can meet the challenge of improving quality of life regardless of social and financial status, gender, age, and location. The book presents real-time applications and case studies in the fields of engineering, computer science, IoT, and healthcare and provides many examples of successful IoT projects. The target audience for this edited volume includes researchers, practitioners, students, as well as key stakeholders involved in and working on healthcare engineering solutions.

Author : Chinmay Chakraborty
Publisher : Academic Press
Page : 299 pages
File Size : 47,58 MB
Release : 2022-09-27
Category : Technology & Engineering
ISBN : 0323919367

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Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain provides imperative research on the development of data fusion and analytics for healthcare and their implementation into current issues in a real-time environment. While highlighting IoT, bio-inspired computing, big data, and evolutionary programming, the book explores various concepts and theories of data fusion, IoT, and Big Data Analytics. It also investigates the challenges and methodologies required to integrate data from multiple heterogeneous sources, analytical platforms in healthcare sectors. This book is unique in the way that it provides useful insights into the implementation of a smart and intelligent healthcare system in a post-Covid-19 world using enabling technologies like Artificial Intelligence, Internet of Things, and blockchain in providing transparent, faster, secure and privacy preserved healthcare ecosystem for the masses. Explains how IoT can be integrated into the healthcare ecosystem for better diagnostics, monitoring and treatment Includes AI for predictive and preventive healthcare Describes blockchain for managing healthcare data to provide transparency, security and distributed storage Offers effective remote diagnostics and telemedicine approaches Highlights the importance of gold standard medical datasets for improved modeling and analysis

Author : Sweta
Publisher : Academic Guru Publishing House
Page : 241 pages
File Size : 25,79 MB
Release : 2024-04-13
Category : Study Aids
ISBN : 8197261474

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‘Smart Healthcare Systems Using Data Science & Artificial Intelligence’ is a comprehensive guidebook delving into the integration of cutting-edge technologies in healthcare. Authored by leading experts in the field, the book offers a meticulous exploration of how data science and artificial intelligence (AI) are revolutionizing healthcare delivery. Through a systematic approach, the book elucidates the myriad applications of data science and AI in healthcare, from patient diagnosis and treatment to operational efficiency and resource management. Readers gain insights into predictive analytics, machine learning algorithms, and deep learning techniques, all tailored to optimize patient care and streamline healthcare operations. Key topics covered include predictive modelling for early disease detection, personalized treatment plans based on patient data analysis, and AI-driven medical imaging for precise diagnoses. Moreover, the book addresses the ethical considerations and regulatory challenges inherent in deploying AI in healthcare, ensuring a balanced perspective on its implementation. With real-world case studies and practical examples, ‘Smart Healthcare Systems Using Data Science & Artificial Intelligence’ equips healthcare professionals, researchers, and policymakers with the knowledge and tools necessary to navigate the evolving landscape of smart healthcare. By harnessing the power of data and AI, the book paves the way for transformative advancements in healthcare delivery, ultimately improving patient outcomes and fostering a more efficient healthcare ecosystem.

Author : Rishi Gupta
Publisher : Springer Nature
Page : 1311 pages
File Size : 46,64 MB
Release : 2023-09-27
Category : Technology & Engineering
ISBN : 3031345932

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This book comprises the proceedings of the Annual Conference of the Canadian Society of Civil Engineering 2022. The contents of this volume focus on specialty conferences in construction, environmental, hydrotechnical, materials, structures, transportation engineering, etc. This volume will prove a valuable resource for those in academia and industry.