Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 21 for “"Clinical decision support system"”.
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A perioperative medicine clinical decision support system: foundation, design, development, evaluation, and the standards
Abstract 1:Introduction and Background: Decisions regarding medication management during the perioperative period are often made based on clinical anecdotes and vary by provider. Clinical decision support (CDS) tools aid physicians with decision making tasks at the point of care. We have developed …
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Clinical Decision Support System with Adaptive Software Framework for Chronic Lymphocytic Leukaemia Cell Classification
This thesis presents a new clinical decision support system (CDSS), which operates within an adaptive software framework and a tailored wrapper design pattern for chronic lymphocytic leukaemia (CLL) cell classification. The system goes through a sequence of steps while working with the lymphocyte …
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A framework for quality improvement and evaluation of a clinical decision support system in NICU environment in cross-cultural settings.
… is to design a structured study to improve clinical process and outcomes in healthcare. This thesis presents a framework for quality improvement and evaluation of a clinical decision support system in cross-cultural settings. The framework extends a SPO model to a SPOE model, combines with …
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PICT-DPA: A Quality-Compliance Data Processing Architecture to Improve the Performance of Integrated Emergency Care Clinical Decision Support System
<p>Emergency Care System (ECS) is a critical component of health care systems by providing acute resuscitation and life-saving care. As a time-sensitive care operation system, any delay and mistake in the decision-making of these EC functions can create additional risks of adverse events and …
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Association Between Clinical Decision Support System Use and Health Care Disparities in the Treatment and Outcomes of Acute Myocardial Infarction and Pneumonia
<p>Purpose: To determine associations between Clinical Decision Support use and Community-Acquired Pneumonia (CAP) process and outcome quality disparities between hospitals in rural/urban ZCTAs and racial/ethnic groups, controlling for other hospital and spatial characteristics. This analysis has …
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Design and of eldertech health monitoring sensor interface
… Automated health alerts are distributed to clinical staff as part of a clinical decision support system. Embedded in each health alert is a link to a web interface for interactively displaying the sensor data patterns. The health alerts facilitate early interventions. However, the design and …
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Machine Learning Techniques for Augmenting Hematological Malignancy Diagnosis
… malignancies, particularly in cytogenetics and clinical flow cytometry. The recent advancements in the field of ML provide a unique opportunity to develop, adapt, and evaluate algorithms for augmenting the hematopathology diagnostic workflow. The field of hematology oncology involves a complex …
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Heart rate variability (HRV) as a predictor of anemia in premature infants using Artemis
… of blood samples. This thesis introduces a Clinical Decision Support System (CDSS) framework that utilizes high frequency streaming physiological data and laboratory information for clinical insights through visual analytics. The framework leverages the Artemis platform, a Big Data and …
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Data fusion techniques for biomedical informatics and clinical decision support
… be applied at the raw-data, feature-based, and decision-based levels. Data fusion applications of different sorts have been built up in areas such as statistics, computer vision and other machine learning aspects. It has been employed in a variety of realistic scenarios such as medical …
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Automated partial premature infant pain profile scoring using big data analytics
… In an attempt to forego the manual scoring system, this thesis presents an initial framework to automate a partial pain score for newborn infants using big data analytics that automates the analysis of high speed physiological data. The design of the novel Artemis Premature Infant Pain …
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An integrated big data framework utilizing stream computing to support real-time clinical decision-making in the field of space medicine
… wholistic approach to the human-technology ecosystem, enabling integration of the various components to address existing challenges of fragmented, retrospective discontinuous file-base data acquisition, in-batch data processing, extensive data down-sampling and an enormous amount of data loss. …
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Turning data into information: The use of new technologies to improve the delivery of healthcare for people with diabetes
… on healthcare delivery. As our use of such systems increases, so too does the volume of routinely collected patient data. Accessing these data with a view to providing meaningful information to individuals remains a challenge. This thesis aims to assess the effectiveness of eHealth …
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CBPsp: complex business processes for stream processing
… business process driven event stream processing system to produce meaningful output with direct implications to the business objectives of an organization. This framework is demonstrated using a case study instantiating the management of a newborn infant with hypoglycaemia. Business processes …
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Evaluation of drug-drug interaction in the EHR data
… components of electronic medical record (EMR) systems for reducing the DDI-associated ADEs by providing alerts and/or detailed information at the moment of prescribing. The primary objectives of this study is to determine whether the incidence of alerts for DDI and their override rates differed …
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Modern lightweight approach for design and implementation of workflow-based clinical guidance system
… healthcare practitioners have adopted the use of clinical decision support systems (CDSS) into their workflow in the past decades. However, there are still many existing challenges for developing a successful CDSS. We propose an XState-React-Redux framework for the design and development of …
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Predicting Personalized Pathological Risks and Dynamics in Cardiology - How to Exploit Data-Driven Approaches in Clinical Decision Support Systems
L'abstract è presente nell'allegato / the abstract is in the attachment
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Temporal logic-based fuzzy decision support system for diagnosis of rheumatic fever and rheumatic heart disease
… to analyse, design and develop a cost effective Clinical Decision Support System (CDSS) for diagnosis and recognition of Acute Rheumatic Fever (ARF) and Rheumatic Heart Disease (RHD) at an early stage by developing/adopting UK’s and NHF’s treatment practices and procedures that would be …
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A mixed-methods evaluation of novel services for vulnerable patient groups in Ireland
… costs present a challenge to healthcare systems around the world. In Ireland, healthcare spending accounts for greater than a quarter of government expenditure. Cancer patients and older persons are two patient population groups that account for a large portion of healthcare utilisation …
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