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Articles 1 - 8 of 8
Full-Text Articles in Health Information Technology
Examining Cognitive Empathy Elements Within Ai Chatbots For Healthcare Systems, Lamia Alam
Examining Cognitive Empathy Elements Within Ai Chatbots For Healthcare Systems, Lamia Alam
Dissertations, Master's Theses and Master's Reports
Empathy is an essential part of communication in healthcare. It is a multidimensional concept and the two key dimensions: emotional and cognitive empathy allow clinicians to understand a patient’s situation, reasoning, and feelings clearly (Mercer and Reynolds, 2002). As artificial intelligence (AI) is increasingly being used in healthcare for many routine tasks, accurate diagnoses, and complex treatment plans, it is becoming more crucial to incorporate clinical empathy into patient-faced AI systems. Unless patients perceive that the AI is understanding their situation, the communication between patient and AI may not sustain efficiently. AI may not really exhibit any emotional empathy at …
Hierarchical Clustering To Predict The Response Of Cardiac Resynchronization Therapy In Patients With Heart Failure, Rukayat Bukola Adeosun
Hierarchical Clustering To Predict The Response Of Cardiac Resynchronization Therapy In Patients With Heart Failure, Rukayat Bukola Adeosun
Dissertations, Master's Theses and Master's Reports
The heterogeneous nature of today’s evolving health databases requires new techniques and approaches to process these data and extract clinically useful information. This relevant information obtained can be used to improve the response rate of cardiac resynchronization therapy (CRT) in patients with heart failure. Hierarchical clustering (HC) which is an unsupervised ML technique may uncover clusters within the bulk of data of patient population which is useful for strategies towards precision and personalized medicine. This study aims to investigate how HC can be used to automatically group a bulk of clinically acquired CRT data into clusters and subgroups that could …
Investigating The Impact Of Explanation On Repairing Trust In Ai Diagnostic Systems For Re-Diagnosis, Lamia Alam
Investigating The Impact Of Explanation On Repairing Trust In Ai Diagnostic Systems For Re-Diagnosis, Lamia Alam
Dissertations, Master's Theses and Master's Reports
AI systems are increasingly being fielded to support diagnoses and healthcare advice for patients. One promise of AI application is that they might serve as the first point of contact for patients, replacing routine tasks, and allowing health care professionals to focus on more challenging and critical aspects of healthcare. For AI systems to succeed, they must be designed based on a good understanding of how physicians explain diagnoses to patients, and how prospective patients understand and trust the systems providing the diagnosis, as well as the explanations they expect. In this thesis, I examine this problem across three studies. …
Statistical Methods For Joint Analysis Of Multiple Phenotypes And Their Applications For Phewas, Xueling Li
Statistical Methods For Joint Analysis Of Multiple Phenotypes And Their Applications For Phewas, Xueling Li
Dissertations, Master's Theses and Master's Reports
Genome-wide association studies (GWAS) have successfully detected tens of thousands of robust SNP-trait associations. Earlier researches have primarily focused on association studies of genetic variants and some well-defined functions or phenotypic traits. Emerging evidence suggests that pleiotropy, the phenomenon of one genetic variant affects multiple phenotypes, is widespread, especially in complex human diseases. Therefore, individual phenotype analyses may lose statistical power to identify the underlying genetic mechanism. Contrasting with single phenotype analyses, joint analysis of multiple phenotypes exploits the correlations between phenotypes and aggregates multiple weak marginal effects and is therefore likely to provide new insights into the functional consequences …
Development Of An Integrated Service Model To Achieve Personal Health Libraries For Consumers, Nathan Gauss
Development Of An Integrated Service Model To Achieve Personal Health Libraries For Consumers, Nathan Gauss
Dissertations, Master's Theses and Master's Reports
This concept paper establishes the framework for additional research regarding how medical records are stored and shared. Health Information Technology is rapidly developing, and one large barrier to true interoperability is data silos. This integrated service model proposes using Health Record Banks (HRB) to store and share data, while using open source applications to limit costs and create opportunities for the consumer to be at the center of their own medical records. This includes the authorization phase, in which patients will be able to seamlessly allow access to their records for clinicians they choose. This conceptual framework includes using eXist …
A Literature Review On The Current State Of Security And Privacy Of Medical Devices And Sensors With Bluetooth Low Energy, Todd O. Arney
A Literature Review On The Current State Of Security And Privacy Of Medical Devices And Sensors With Bluetooth Low Energy, Todd O. Arney
Dissertations, Master's Theses and Master's Reports
Technology use in healthcare is an integral part of diagnosis and treatment. The use of technology in medical devices and sensors is growing. These devices include implantable medical devices, and consumer health and fitness tracking devices and applications. Bluetooth Low Energy (BLE) is the most commonly used communication method in medical devices and sensors. Security and privacy are important, especially in healthcare technologies that can impact morbidity. There is an increasing need to evaluate the security and privacy of healthcare technology, especially with devices and sensors that use Bluetooth Low Energy due to the increasing prevalence and use of medical …
Development & Integration Of Fhir With Open-Source Emr & Relational Databases, Timothy Van Wagner
Development & Integration Of Fhir With Open-Source Emr & Relational Databases, Timothy Van Wagner
Dissertations, Master's Theses and Master's Reports
This project looks into the development and implementation of an open source EHR software, using a FHIR interface to the system for data exchange. The EMR system used was OpenEMR, which is an open source EMR system that uses MySQL as the database backend combined with Apache and PHP to provide a user interface. The FHIR interface uses HAPI-FHIR which is an open source framework and libraries available for JAVA. Using JAVA, a RESTful API is created in order to respond to requests, and to also receive FHIR messages using the information stored in the two SQL databases, OpenEMR database …
The Integration Of Mobile Technology To Lower The Risk Of Developing Cervical Cancer In Hiv Positive Women, Tugce Kinik
The Integration Of Mobile Technology To Lower The Risk Of Developing Cervical Cancer In Hiv Positive Women, Tugce Kinik
Dissertations, Master's Theses and Master's Reports
Cervical cancer is the most common cancer in HIV positive women in the world [1]. According to epidemiologists, HPV infection alone will not initiate cervical cancer [2]. In addition to high risk HPV types, smoking, long term hormonal contraceptive use, high parity, HIV/AIDS infection, sexual activity before 20 years of age, multiple sexual partners, exposure to sexually transmitted disease, and family history of cervical cancer are other reasons to turn an HPV infection to the cervical cancer [3]. With the increasing global population, cervical cancer cases are expected to increase 46% until 2030 [4]. Effective prevention and control efforts will …