Diverse Perspectives And State Of The Art Approaches To The Utilization Of Data Driven Clinical Decision Support Systems
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Diverse Perspectives And State Of The Art Approaches To The Utilization Of Data Driven Clinical Decision Support Systems
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Author : Connolly, Thomas M.
language : en
Publisher: IGI Global
Release Date : 2022-11-11
Diverse Perspectives And State Of The Art Approaches To The Utilization Of Data Driven Clinical Decision Support Systems written by Connolly, Thomas M. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-11 with Business & Economics categories.
The medical domain is home to many critical challenges that stand to be overcome with the use of data-driven clinical decision support systems (CDSS), and there is a growing set of examples of automated diagnosis, prognosis, drug design, and testing. However, the current state of AI in medicine has been summarized as “high on promise and relatively low on data and proof.” If such problems can be addressed, a data-driven approach will be very important to the future of CDSSs as it simplifies the knowledge acquisition and maintenance process, a process that is time-consuming and requires considerable human effort. Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems critically reflects on the challenges that data-driven CDSSs must address to become mainstream healthcare systems rather than a small set of exemplars of what might be possible. It further identifies evidence-based, successful data-driven CDSSs. Covering topics such as automated planning, diagnostic systems, and explainable artificial intelligence, this premier reference source is an excellent resource for medical professionals, healthcare administrators, IT managers, pharmacists, students and faculty of higher education, librarians, researchers, and academicians.
Clinical Decision Support
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Author : Robert Greenes
language : en
Publisher: Elsevier
Release Date : 2011-04-28
Clinical Decision Support written by Robert Greenes and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-28 with Science categories.
This book examines the nature of medical knowledge, how it is obtained, and how it can be used for decision support. It provides complete coverage of computational approaches to clinical decision-making. Chapters discuss data integration into healthcare information systems and delivery to point of care for providers, as well as facilitation of direct to consumer access. A case study section highlights critical lessons learned, while another portion of the work examines biostatistical methods including data mining, predictive modelling, and analysis. This book additionally addresses organizational, technical, and business challenges in order to successfully implement a computer-aided decision-making support system in healthcare delivery.
Wearable And Implantable Electrocardiography For Early Detection Of Cardiovascular Diseases
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Author : Hussain, Shaik Asif
language : en
Publisher: IGI Global
Release Date : 2023-08-25
Wearable And Implantable Electrocardiography For Early Detection Of Cardiovascular Diseases written by Hussain, Shaik Asif and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-25 with Medical categories.
The field of cardiovascular research and monitoring faces a critical challenge in the early detection of cardiovascular diseases due to limitations in existing monitoring methods. These methods lack accuracy, power efficiency, and compactness, creating a gap in effective intervention and patient outcomes. This pressing problem necessitates advanced solutions that can enhance the capabilities of wearable and implantable electrocardiography (ECG) sensors for accurate and timely detection of conditions like cardiac arrhythmia and heart failure. Wearable and Implantable Electrocardiography for Early Detection of Cardiovascular Diseases presents a comprehensive solution to address these challenges. Written by esteemed scholars with experience in academia and research, this groundbreaking book introduces innovative approaches to enhance ECG sensors. It introduces a novel low-noise and low-power capacitive feedback amplifier based on a current-reused operational transconductance amplifier (OTA), incorporating digitalization techniques and threshold converters to enable the accurate extraction of vital data points. The book emphasizes reduced power consumption and circuit size to ensure energy-efficient and compact monitoring solutions. Targeting academic scholars, researchers, and professionals in the field, this essential resource covers a wide range of topics and equips readers with valuable insights and innovative solutions to overcome existing limitations. By utilizing the knowledge and tools shared in this book, scholars and professionals can drive advancements in the early detection and management of cardiovascular diseases, improving patient care and outcomes.
Ai And Iot Based Technologies For Precision Medicine
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Author : Khang, Alex
language : en
Publisher: IGI Global
Release Date : 2023-10-18
Ai And Iot Based Technologies For Precision Medicine written by Khang, Alex and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-18 with Medical categories.
In the post-COVID-19 healthcare landscape, the demand for smart healthcare solutions and precision medicine systems has grown significantly. To address these challenges, the book AI and IoT-Based Technologies for Precision Medicine provides a comprehensive resource for doctors, researchers, engineers, and students. By leveraging AI and IoT technologies, the book equips healthcare professionals with advanced tools and methodologies for predictive disease analysis, informed decision-making, and other aspects of precision medicine. This resource bridges the gap between theory and practice, exploring concepts like machine learning, deep learning, computer vision, AI-integrated applications, IoT-based technologies, healthcare data analytics, and biotechnology applications. Through this, the book empowers healthcare practitioners to pioneer innovative solutions that enhance efficiency, accuracy, and security in medical practices. AI and IoT-Based Technologies for Precision Medicine not only offer insights into the potential of AI-powered applications and IoT-equipped techniques in smart healthcare but also foster collaboration among healthcare scholars and professionals. This authoritative guide encourages knowledge sharing and collaboration to harness the transformative potential of AI and IoT, leading to revolutionary advancements in medical practices and healthcare services. With this book as a guide, readers can navigate the evolving landscape of high-tech medicine, taking confident steps toward a cutting-edge and precise medical ecosystem.
Advancements In Bio Medical Image Processing And Authentication In Telemedicine
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Author : Khan, Rijwan
language : en
Publisher: IGI Global
Release Date : 2023-02-20
Advancements In Bio Medical Image Processing And Authentication In Telemedicine written by Khan, Rijwan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-20 with Computers categories.
As technology continues to develop, the healthcare industry must adapt and implement new technologies and services. Recent advancements, opportunities, and challenges for bio-medical image processing and authentication in telemedicine must be considered to ensure patients receive the best possible care. Advancements in Bio-Medical Image Processing and Authentication in Telemedicine introduces recent advancements, opportunities, and challenges for bio-medical image processing and authentication in telemedicine and discusses the design of high-accuracy decision support systems. Covering key topics such as artificial intelligence, medical imaging, telemedicine, and technology, this premier reference source is ideal for medical professionals, nurses, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.
Clinical Decision Support Systems
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Author : Eta S. Berner
language : en
Publisher: Springer
Release Date : 2016-07-26
Clinical Decision Support Systems written by Eta S. Berner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-26 with Medical categories.
Building on the success of the previous editions, this fully updated book once again brings together worldwide experts to illustrate the underlying science and day-to-day use of decision support systems in clinical and educational settings. Topics discussed include: -Mathematical Foundations of Decision Support Systems -Design and Implementation Issues -Ethical and Legal Issues in Decision Support -Clinical Trials of Information Interventions -Hospital-Based Decision Support -Real World Case Studies
Discovering Data Driven Actionable Intelligence For Clinical Decision Support
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Author : Ahmed Mohamed Alaa Ibrahim
language : en
Publisher:
Release Date : 2019
Discovering Data Driven Actionable Intelligence For Clinical Decision Support written by Ahmed Mohamed Alaa Ibrahim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
The rapid digitization of healthcare has led to a proliferation of clinical data, manifesting through electronic health records, biorepositories, and disease registries. This dissertation addresses the question of how machine learning (ML) techniques can capitalize on these data resources to assist clinicians in predicting, preventing and treating illness. To this end, we develop a set of MLbased, data-driven models of patient outcomes that we envision to be embedded within systems of decision support deployed at different stages of patient care. We focus on two broad setups for analyzing clinical data: (1) the cross-sectional setup wherein data is collected by observing many patients at a particular point of time, and (2) the longitudinal setup in which repeated observations of the same patient are collected over time. In both setups, we develop models that are: (a) capable of answering counter-factual questions, i.e., can predict outcomes under alternative treatment scenarios, (b) interpretable in the sense that clinicians can understand how the model predictions for individual patients are issued, and (c) automated in the sense that they adaptively tune their modeling choices for the dataset at hand, with little or no need for expert intervention. Models satisfying these three requirements would enable the realization of actionable, transparent and automated decision support systems that operate symbiotically within existing clinical workflows. Our technical contributions are multi-faceted. In the cross-sectional data setup, we develop ML models that fulfill the aforementioned requirements (a)-(c) as follows. We start by developing a comprehensive theoretical framework for causal inference, whereby we quantify the limits to how well ML models can recover the causal effects of counter-factual treatment decisions on individual patients using observational (retrospective) data, and we build ML models -- based on Gaussian processes -- that achieve these limits. Next, we develop a novel symbolic meta-modeling approach for interpreting the predictions of any ML-based prognostic model by converting the "black-box" model into an understandable symbolic equation that relates patients' features to their predicted outcomes. Finally, we develop a model selection approach based on Bayesian optimization that enables the automation of predictive and causal modeling. In the longitudinal data setup, we develop a novel deep probabilistic model for sequential clinical data that satisfies requirements (a)- (c) by capitalizing on the strengths of both state-space models and deep recurrent neural networks. To demonstrate the utility of our models, we evaluate their performance on various real-world datasets for cohorts of breast cancer, cardiovascular disease and cystic fibrosis patients. We show that, compared to existing clinical scorers, our ML-based models can improve the accuracy of predicting individual-level prognoses, guide treatment decisions for individual patients, and provide insights into underlying disease mechanisms.
The Role Of Scenarios In Scripting The Use Of Medical Technology
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Author : Kevin Wiggert
language : en
Publisher:
Release Date : 2021
The Role Of Scenarios In Scripting The Use Of Medical Technology written by Kevin Wiggert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Development Of Clinical Decision Support Systems Using Bayesian Networks
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Author : Mario A. Cypko
language : en
Publisher: Springer Nature
Release Date : 2020-11-30
Development Of Clinical Decision Support Systems Using Bayesian Networks written by Mario A. Cypko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-30 with Computers categories.
For the development of clinical decision support systems based on Bayesian networks, Mario A. Cypko investigates comprehensive expert models of multidisciplinary clinical treatment decisions and solves challenges in their modeling. The presented methods, models and tools are developed in close and intensive cooperation between knowledge engineers and clinicians. In the course of this study, laryngeal cancer serves as an exemplary treatment decision. The reader is guided through a development process and new opportunities for research and development are opened up: in modeling and validation of workflows, guided modeling, semi-automated modeling, advanced Bayesian networks, model-user interaction, inter-institutional modeling and quality management.
Clinical Decision Support Systems
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Author : Eta S. Berner
language : en
Publisher: Springer
Release Date : 2006-11-14
Clinical Decision Support Systems written by Eta S. Berner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-14 with Medical categories.
This is a resource book on clinical decision support systems for informatics specialists, a textbook for teachers or students in health informatics and a comprehensive introduction for clinicians. It has become obvious that, in addition to physicians, other health professionals have need of decision support. Therefore, the issues raised in this book apply to a broad range of clinicians. The book includes chapters written by internationally recognized experts on the design, evaluation and application of these systems, who examine the impact of computer-based diagnostic tools both from the practitioner’s perspective and that of the patient.