Early Detection Of Patient Deterioration From Wearable Data
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Early Detection of Inpatient Deterioration Using Wearable Monitors
| Author | : Timothy Bonnici |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2019 |
| Genre | : |
| ISBN | : |
Therefore, we undertook an systematic evaluation of algorithms to estimate respiratory rate from the ECG and PPG in order to identify algorithms which might be clinically useful. We identified 4 algorithms which were more accurate than electrical impedance pneumography when operating in ideal circumstances. Further work is required to determine whether performance will be maintained in a real-world context. Finally, we examined whether continuous monitoring offered any advantage over intermittent observations according standard ward practice. We concluded that although individual patients might have benefitted from continuous monitoring, at the population level the benefit was minimal and outweighed the cost of the false alerts. The principle reason for lack of benefit was the low prevalence of abnormal vital signs. Future work should continue to address the technical and practical issues surrounding the design and implementation of wearable monitoring systems. In parallel research needs to be undertaken to gain a better understanding of which care processes are failing, what should be monitored and how the data can be used to improve the reliability of existing care.
Textbook of Rapid Response Systems
| Author | : Michael A. DeVita |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 435 |
| Release | : 2010-12-10 |
| Genre | : Medical |
| ISBN | : 0387928537 |
Successor to the editors' groundbreaking book on medical emergency teams, Textbook of Rapid Response Systems addresses the problem of patient safety and quality of care; the logistics of creating an RRS (resource allocation, process design, workflow, and training); the implementation of an RRS (organizational issues, challenges); and the evaluation of program results. Based on successful RRS models that have resulted in reduced in-hospital cardiac arrest and overall hospital death rates, this book is a practical guide for physicians, hospital administrators, and other healthcare professionals who wish to initiate an RRS program within their own institutions.
Safer Care for the Acutely Ill Patient
| Author | : Richard Thomson |
| Publisher | : |
| Total Pages | : 43 |
| Release | : 2007 |
| Genre | : Critical care medicine |
| ISBN | : 9780955634055 |
Early Warning of Patient Deterioration in the Inpatient Setting
| Author | : Gregory Alan Ciccarelli |
| Publisher | : |
| Total Pages | : 166 |
| Release | : 2013 |
| Genre | : |
| ISBN | : |
Early signs of patient deterioration have been documented in the medical literature. Recognition of such signs offers the possibility of treatment with sufficient lead time to prevent irreversible organ damage and death. Pediatric hospitals currently utilize simple, human evaluated rubrics called early warning scores to detect early signs of patient deterioration. These scores comprise subjective (patient behavior, clinician's impression) and objective (vital signs) components to assess patient health and are computed intermittently by the nursing staff. At Boston Children's Hospital (BCH), early warning scores are evaluated at least every four hours for each patient. Many hospitals monitor inpatients continuously to alert caregivers to changes in physiological status. At BCH, each hospital bed is equipped with a bedside monitor that continuously collects and archives vital sign data, such as heart rate, respiration rate, and arterial oxygen saturation. Continuous access to these physiological variables allows for the definition of a continuously evaluated early warning score on a reduced rubric. This thesis quantitatively assesses the performance of BCH's current Children's Hospital Early Warning Score (CHEWS). We also apply several standard machine learning approaches to investigate the utility of automatically collected bedside monitoring trend data for prediction of patient deterioration. Our results suggest that CHEWS offers at least a 6-hour warning with sensitivity 0.78 and specificity 0.90 but only with a prohibitively large uncertainty (48 hours) surrounding the time of transfer. Performance using only standard bedside trend data is no better than chance; improvement may require exploiting additional intra-beat features of monitored waveforms. The full CHEWS appears to capture significant clinical features that are not present in the monitoring data used in this study.
Continuous respiratory rate monitoring to detect clinical deteriorations using wearable sensors
| Author | : Peter H Charlton |
| Publisher | : Peter H Charlton |
| Total Pages | : 257 |
| Release | : 2021-08-27 |
| Genre | : Technology & Engineering |
| ISBN | : |
The aim of this PhD thesis was to develop and assess the performance of techniques for continuous RR monitoring using ECG and PPG signals for use in wearable sensors to detect deteriorations.
Artificial Intelligence in Healthcare
| Author | : Adam Bohr |
| Publisher | : Academic Press |
| Total Pages | : 385 |
| Release | : 2020-06-21 |
| Genre | : Computers |
| ISBN | : 0128184396 |
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
Medical Emergency Teams
| Author | : Michael A. DeVita |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 312 |
| Release | : 2007-07-03 |
| Genre | : Medical |
| ISBN | : 0387279210 |
Why Critical Care Evolved METs? In early 2004, when Dr. Michael DeVita informed me that he was cons- ering a textbook on the new concept of Medical Emergency Teams (METs), I was surprised. At Presbyterian-University Hospital in Pittsburgh we int- duced this idea some 15 years ago, but did not think it was revolutionary enough to publish. This, even though, our fellows in critical care medicine training were all involved and informed about the importance of “C- dition C (Crisis),” as it was called to distinguish it from “Condition A (Arrest). ”We thought it absurd to intervene only after cardiac arrest had occurred,because most cases showed prior deterioration and cardiac arrest could be prevented with rapid team work to correct precluding problems. The above thoughts were logical in Pittsburgh, where the legendary Dr. Peter Safar had been working since the late 1950s on improving current resuscitation techniques, ?rst ventilation victims of apneic from drowning, treatment of smoke inhalation, and so on. This was followed by external cardiac compression upon demonstration of its ef?ciency in cases of unexpected sudden cardiac arrest. Dr. Safar devoted his entire professional life to improvement of cardiopulmonary resuscitation. He and many others emphasized the importance of getting the CPR team to o- of-hospital victims of cardiac arrest as quickly as possible.
Oncology Informatics
| Author | : Bradford W. Hesse |
| Publisher | : Academic Press |
| Total Pages | : 449 |
| Release | : 2016-03-17 |
| Genre | : Computers |
| ISBN | : 0128022000 |
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
