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 57 for “"healthcare data"”.
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Applying systems thinking to healthcare data cybersecurity
… of Electronic Health Record (EHR) systems in US healthcare organizations has increased significantly. Along with the rapid increase in usage of EHR, cybercrimes are on the rise as well. Two recent cybercrime cases from early 2015, the Anthem and Premera breaches, are examples of the alarming …
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Business Intelligence Competencies: Making Healthcare Data Come Alive
<p>Business Intelligence Competencies: Making Healthcare Data Come Alive While a wealth of healthcare related data exists, nurse leaders (NL) have yet to understand its implications and adopt analytical skills to lead in the transformation of care delivery. Information science is at a new frontier …
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Outcome prediction and structure discovery in healthcare data
… use of electronic medical records, advances in data mining and machine learning, and the continually increasing cost of healthcare in the United States drive the necessity of algorithmic solutions with the potential to improve patient care and reduce healthcare costs. Such algorithms can enable …
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From Theory to Practice: Improving Causal Conclusions from Healthcare Data
… policy research often relies on observational data, such as electronic health records (EHRs), patient registries, or insurance claims, to compensate for the inaccessibility of randomized controlled trials. However, causal inference from observational data depends on strong, often unverifiable …
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Representation Learning on Large-Scale Neural and Healthcare Data: A Practitioner’s Perspective
The rapid growth of data volume has promoted development of advanced computational methods, particularly machine learning (ML) and deep learning (DL) algorithms, to address challenges emerged in various fields. A key step to solve ML/DL tasks is to find a good data representation by mapping input …
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Optimising Healthcare Data Flows and Interoperability: Exploring Challenges and Opportunities in NHS Wales
… the challenges and opportunities associated with healthcare data flows and interoperability within NHS Wales, with a particular focus on Powys Teaching Health Board (PTHB). Through a mixed-methods approach, combining qualitative insights from healthcare professionals’ survey responses with …
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Assessment of diabetes care in Saudi Arabia : by analysis of routine healthcare data, patient case notes and interviews with key stakeholders
… of the Saudi population has diabetes and their healthcare takes almost a quarter (23%) of the total healthcare expenditure. A few sporadic small studies showed some evidence of suboptimal diabetes care. <br/><br/>Aims: <br/>The aim of this study was to identify the deficiencies in diabetes care …
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Are people with diabetes on an equal footing? Examining administrative healthcare data for variables associated with diabetes foot-related hospital admissions in Aotearoa New Zealand
… to improve outcomes, and gaps in routine data collection to guide improvements in care. Methods: Hospitalisations caused by DFD in people aged ≥15 years were identified using ICD10-AM discharge codes in (a) Auckland City Hospital (ACH) between 1 Jul 2014 to 30 Jun 2019 and (b) 2016 …
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Utilising Routine Population Healthcare Data for Epidemiological Research and Quality Improvement in Care: Application of a National Acute Kidney Alerting System as a Proof of Concept
… therefore considered an important goal for the healthcare sector. While improvement science states that without measurement, improvement is not possible, at the outset of this research, the epidemiology of AKI was also not fully understood. Whereas numerous studies had described AKI that is …
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Securing mHealth - Investigating the development of a novel information security framework
… have significant potential to transform healthcare services. The use of mHealth technologies allow a real-time remote monitoring as well as direct access to healthcare data so that users (e.g., patients and healthcare professionals) can utilise mHealth services anywhere and anytime. …
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A Data Quality Framework for the Secondary Use of Electronic Health Information
… and facilitate the delivery of care. Since EHR data is now readily available in electronic form, it is increasingly used for other purposes. This is expected to improve health outcomes for patients; however, the benefits will only be realized if the data that is captured in the EHR is of …
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Data mining techniques for complex application domains
… increased availability of large collection of data in electronic form in a number of application domains including healthcare, e- business, and e-learning. Everyday a large amount of records are stored electronically. However, finding useful information from such a large data collection is a …
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Implementation of digital forensics readiness in big data wireless medical networks
… years, both cybersecurity incidents (such as data breaches) and clinical safety incidents have increased significantly in the healthcare sector. When combined with the sensitivity of healthcare data, the vulnerability of wireless medical networks (WMNs) to cyberattacks, stringent data …
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Robust foundation model for healthcare
Clinical data are routinely collected during patient visits, encompassing demographics, diagnoses, laboratory test results, medication prescriptions, medical images, and clinical notes. While there is growing interest in applying deep learning techniques to clinical predictive modeling, developing …
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Design of a backend system to integrate health information systems – case study: ministry of health and social services (MoHSS)-Namibia
… In the health care field, there is a lot of data flow, from the patient demographic information (through the electronic medical records), the patient's medication dispersal methods called pharmaceutical data, laboratory data to hospital organization information such bed allocation. Healthcare …
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Distributed querying of clinical documents modeled as HL7 version 3 standard
We present a software tool called Collaborative Data Network (CDN) for distributed querying of clinical documents modeled using HL7 v3 standard (e.g., Clinical Document Architecture). HL7 Version 3 standard was developed to enable semantic interoperability in healthcare data interchange. XML is …
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Can You Hear Me Now: Being Deaf and Healthcare Experiences.
… impacts an individual's experience in accessing healthcare. Research conducted by Montoya et al. (2004) found that the adult deaf population is severely underserved in the healthcare system. Sheppard and Badger (2010) found that it is important to also consider the deaf culture when evaluating a …
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Counterfactual policy introspection using structural causal models
… in applying reinforcement learning (RL) to healthcare, we introduce a procedure for performing qualitative introspection and `debugging' of models and policies. In particular, we make use of counterfactual trajectories, which describe the implicit belief (of a model) of 'what would have …
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Knowledge-Informed Weakly-Supervised Deep Learning Models for Cancer Applications
… for analyzing complex patterns in large-scale healthcare data, significantly advancing diagnosis, prognosis, and treatment planning. However, the collection of medical data faces inherent limitations, including invasiveness, high cost, expert labeling requirements, disease rarity, and patient …
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