Health Information Technology Commons^™

Interactive Clinical Event Pattern Mining And Visualization Using Insurance Claims Data, Zhenhui Piao

Theses and Dissertations--Computer Science

With exponential growth on a daily basis, there is potentially valuable information hidden in complex electronic medical records (EMR) systems. In this thesis, several efficient data mining algorithms were explored to discover hidden knowledge in insurance claims data. The first aim was to cluster three levels of information overload(IO) groups among chronic rheumatic disease (CRD) patient groups based on their clinical events extracted from insurance claims data. The second aim was to discover hidden patterns using three renowned pattern mining algorithms: Apriori, frequent pattern growth(FP-Growth), and sequential pattern discovery using equivalence classes(SPADE). The SPADE algorithm was found to be the …

Towards Blockchain Empowered Trusted And Accountable Data Sharing And Collaboration In Mobile Healthcare Applications, Xueping Liang, Sachin Shetty, Deepak Tosh, Daniel Bowden, Laurent Njilla, Charles Kamhoua

VMASC Publications

Enabled by mobile and wearable technology, personal health data delivers immense and increasing value for healthcare, benefiting both care providers and medical research. The secure and convenient sharing of personal health data is crucial to the improvement of the interaction and collaboration of the healthcare industry. Faced with the potential privacy issues and vulnerabilities existing in current personal health data storage and sharing systems, as well as the blockchain integration concerns summarized in this paper, an innovative user-centric health data sharing solution by utilizing a decentralized but permissioned blockchain is proposed to protect privacy and enhance access management, with the …

Privacy Risks And Security Threats In Mhealth Apps, Brinda Hansraj Sampat, Bala Prabhakar

Journal of International Technology and Information Management

mHealth (Mobile Health) applications (apps) have transformed the doctor-patient relationship. They help users with varied functionalities such as monitoring their health, understanding specific health conditions, consulting doctors online and achieving fitness goals. Whilst these apps provide an option of equitable and convenient access to healthcare, a lot of personal and sensitive data about users is collected, stored and shared to achieve these functionalities. Little is known about the privacy and security concerns these apps address. Based on literature review, this paper identifies the privacy risks and security features for evaluating thirty apps in the Medical category across two app distribution …

Ransomware In Healthcare Facilities: The Future Is Now, Nikki Spence, David P. Paul Iii, Alberto Coustasse

Management Faculty Research

Cybercriminals have begun to target the healthcare industry with a type of malware called ransomware, malware that encrypts an infected device and any attached devices or network drives. After encryption, cybercriminals demand a sum of money, also known as a “ransom,” to release the devices from encryption. Without adequate disaster recovery and backup plans, many businesses are forced to pay the ransom. The purpose of this study was to determine the extent of recent ransomware infections in healthcare settings, the risk liabilities and cost associated with such infections, and to determine possible risk mitigation tactics. Financial costs associated with business …

Optimized Multilayer Perceptron With Dynamic Learning Rate To Classify Breast Microwave Tomography Image, Chulwoo Pack

Electronic Theses and Dissertations

Most recently developed Computer Aided Diagnosis (CAD) systems and their related research is based on medical images that are usually obtained through conventional imaging techniques such as Magnetic Resonance Imaging (MRI), x-ray mammography, and ultrasound. With the development of a new imaging technology called Microwave Tomography Imaging (MTI), it has become inevitable to develop a CAD system that can show promising performance using new format of data. The platform can have a flexibility on its input by adopting Artificial Neural Network (ANN) as a classifier. Among the various phases of CAD system, we have focused on optimizing the classification phase …

Automatic Optimum Atlas Selection For Multi-Atlas Image Segmentation Using Joint Label Fusion, Kofi Agyeman

Dissertations and Theses

Multi-atlas image segmentation using label fusion is one of the most accurate state of the art image segmentation techniques available for biomedical imaging applications. Motivated to achieve higher image segmentation accuracy, reduce computational costs and a continuously increasing atlas data size, a robust framework for optimum selection of atlases for label fusion is vital. Although believed not to be critical for weighted label fusion techniques by some works (Sabuncu, M. R. et al., 2010, [1]), others have shown that appropriate atlas selection has several merits and can improve multi-atlas image segmentation accuracy (Aljabar et al., 2009, [2], Van de Velde …

Recognition Of Smoking Gesture Using Smart Watch Technology, Casey A. Cole, Bethany Janos, Dien Anshari, James Thrasher, Scott Strayer, Homayoun Valafar

Faculty Publications

Diseases resulting from prolonged smoking are the most common preventable causes of death in the world today. In this report we investigate the success of utilizing accelerometer sensors in smart watches to identify smoking gestures. Early identification of smoking gestures can help to initiate the appropriate intervention method and prevent relapses in smoking. Our experiments indicate 85%-95% success rates in identification of smoking gesture among other similar gestures using Artificial Neural Networks (ANNs). Our investigations concluded that information obtained from the x-dimension of accelerometers is the best means of identifying the smoking gesture, while y and z dimensions are helpful …

Spatial Heterogeneity Analysis In Evaluation Of Cell Viability And Apoptosis For Colorectal Cancer Cells, Aydin Saribudak, Herman Kucharavy, Karen Hubbard, Muharrem Umit Uyar

Publications and Research

In evaluation of cell viability and apoptosis, spatial heterogeneity is quantified for cancerous cells cultured in 3-D in vitro cell-based assays under the impact of anti-cancer agents. In 48-h experiments using human colorectal cancer cell lines of HCT-116, SW-620, and SW-480, incubated cells are divided into control and drug administered groups, to be grown in matrigel and FOLFOX solution, respectively. Our 3-D cell tracking and data acquisition system guiding an inverted microscope with a digital camera is utilized to capture bright field and fluorescent images of colorectal cancer cells at multiple time points. Identifying the locations of live and dead …

Development Of A Simple Handheld Biosensor For Waterborne Pathogens, Bryce C. Jones

Chemical Engineering Undergraduate Honors Theses

Current methods of detecting waterborne pathogens involve testing strips which take 24-48 hours to yield results, or require expensive equipment in order to function. In minimalist environments, these two technologies are not always applicable to test water quality. With the emergence of a new method of PCR, named LAMP PCR, it is possible to quickly and accurately detect pathogen DNA in a water sample. In order to scale this technique into a simple device, the aspects of the reaction must be accommodated, and a visual detection method chosen. A handheld device which keeps the isothermal LAMP PCR stable for the …

Essays In Physicians Preference Items And Inventory Management Within The Healthcare Supply Chain, Mohammad A. Shbool

Graduate Theses and Dissertations

This work is composed of a number of topics in the healthcare area, which are approached separately with appropriate methodologies. The two topics deal with physician preference items via two different approaches. The first one investigates stock keeping unit (SKU) proliferation in healthcare organizations due to physician preference items (PPI). It captures perspectives of physicians and supply chain professionals about this problem through two surveys. The second topic builds a decision-making framework for the PPI selection process that can be used by healthcare organizations to make more objective decisions. A Multi-criteria decision making technique is implemented to illustrate the framework.

Detecting, Segmenting And Tracking Bio-Medical Objects, Mingzhong Li

Doctoral Dissertations

"Studying the behavior patterns of biomedical objects helps scientists understand the underlying mechanisms. With computer vision techniques, automated monitoring can be implemented for efficient and effective analysis in biomedical studies. Promising applications have been carried out in various research topics, including insect group monitoring, malignant cell detection and segmentation, human organ segmentation and nano-particle tracking.

In general, applications of computer vision techniques in monitoring biomedical objects include the following stages: detection, segmentation and tracking. Challenges in each stage will potentially lead to unsatisfactory results of automated monitoring. These challenges include different foreground-background contrast, fast motion blur, clutter, object overlap and …

Towards Mhealth Solutions For Asthma Patients, Nahid Negar

Master's Theses (2009 -)

With the recent, rapid growth in mobile-computing technology, mobile health (mHealth) is becoming a popular research topic. mHealth is one of several examples of how using technology in the health sector is being more advanced every day. mHealth is being applied to the care of a broad spectrum of diseases from acute to chronic, such as the flu, asthma, and cancer. Due to the easy-to-understand and friendly user interfaces, mobility and cost effectiveness; a mobile application can be a powerful tool to collect patient information. Asthma is a common disease around the globe. Collecting the proper symptom, trigger, peak-flow and …

A Machine Learning Approach To Post-Market Surveillance Of Medical Devices, Jonathan Bates, Shu-Xia Li, Craig Parzynski, Ronald Coifman, Harlan Krumholz, Joseph Ross

Yale Day of Data

Post-market surveillance is a collection of processes and activities used by product manufacturers and regulators, such as the U.S. Food and Drug Administration (FDA) to monitor the safety and effectiveness of medical devices once they are available for use “on the market”. These activities are designed to generate information to identify poorly performing devices and other safety problems, accurately characterize real-world device performance and clinical outcomes, and facilitate the development of new devices, or new uses for existing devices. Typically, a device is monitored by comparing adverse events in the exposed population to a matched unexposed population. This research considers …

Preventive Maintenance Decision Modeling In Health And Service Systems, Mahboubeh Madadi

Graduate Theses and Dissertations

This dissertation focuses on the preventive maintenance decision modeling in healthcare and service systems. In the first part of this dissertation, some issues in preventive health decisions for breast cancer are addressed, and in the second part, the required characteristics for preventive maintenance of an unreliable queuing system are derived.

Adherence to cancer screening is the first issue that is addressed in this dissertation. Women’s adherence or compliance with mammography screening remained low in the recent years. In this dissertation, we first develop a design-based logistic regression model to quantify the probability of adherence to screening schedules based on women’s …

Understanding Technology Diffusion And Spatial Accessibility In The Home Healthcare Industry, Mehmet Serdar Kilinç

Graduate Theses and Dissertations

Home healthcare is becoming an important alternative to institutionalized care. It not only reduces costs but also increases health outcomes and patient satisfaction. However, the availability and efficiency of home healthcare services need to be improved as the aging population increases in the US. Hence, understanding home healthcare utilization and access are the essential steps to develop strategies ensuring effective and sustainable services to patients.

This research aims to study two main issues in the US home healthcare system: diffusion and long-term impacts of home telehealth and potential spatial accessibility of home healthcare services. Home telehealth is a promising technology …

Situational Awareness/Triage Tool For Use In A Chemical, Biological, Radiological Nuclear Explosive (Cbrne) Environment, John N. Scarlett, Heather L. Gallup, David A. Smith

AFIT Patents

A method of managing patient care and emergency response following a Chemical, Biological, Radiological, or Nuclear Explosive (CBRNE) attack and maintaining compliance with the Health Insurance Portability and Accountability Act (HIPAA). The method including identifying each patient with a unique patient identifier, the identifier based upon the geospatial location of the patient, the geospatial location including at least the latitude and longitude of the patient when first treated, the unique patient identifier being part of patient data. Providing a collection point of patient data to form a patient data database where in the patient location data may be used to …

Predicting Hospital Patients' Admission To Reduce Emergency Department Boarding, Mohammadmahdi Moqri

Graduate Masters Theses

Emergency Department (ED) boarding - the inability to transfer emergency patients to inpatient beds- is a key factor contributing to ED overcrowding. This paper presents a novel approach to improving hospital operational efficiency and, therefore, to decreasing ED boarding. Using the historic data of 15,000 patients, admission results and patient information are correlated in order to identify important admission predictor factors. For example, the type of radiology exams prescribed by the ED physician is identified as among the most important predictors of admission. Based on these factors, a real-time prediction model is developed which is able to correctly predict the …

Rfid Technology Selection And Economic Justification For Healthcare Asset Tracking, Tyler Robert Peabody, Tali Freed

Master's Theses

Although Radio Frequency Identification (RFID) and Real-Time Location System (RTLS) technologies for inventory tracking have been growing in popularity, the healthcare industry has been reluctant to adopt these technologies. One of the primary reasons for this lack of enthusiasm has been the risk associated with electromagnetic interference between RFID/RTLS systems and medical equipment functionality. The other reason has been the substantial cost and complexity of implementing RFID/RTLS in healthcare organizations. In this study, we show that there are several ways to safely install RFID/RTLS systems to improve the inventory management processes of hospitals and clinics. We then analyze the inventory …

The Role Of Is Infrastructure And Organizational Context On Implementation Of Electronic Health Records Systems, Pilar Pazos, Anjee Gorkhali, Rolando Delaguila

Engineering Management & Systems Engineering Faculty Publications

This research explores the role that Information System (IS) infrastructure and organizational context play on the implementation of Electronic Health Records (EHR) Systems. A number of indicators can be used as a proxy for IS infrastructure such as: Information System (IS) Department Budget allocation, percentage of full time IS staff and the number of technical trainings provided by the IS department to the clinical staff. Data was obtained from the Healthcare Information and Management Systems Society (HIMSS) database, a non-for profit organization that evaluates the use of information technology in the health care industry. This paper reports on the development …

Approaches That Will Yield Greater Success When Implementing Self-Administered Electronic Data Capture Ict Systems In The Developing World With An Illiterate Or Semi-Literate Population, Stanley J. Mierzwa, Samir Souidi, Irene Friedland, Sarah A. Littlefield, Lauren L. Katzen, Craig Savel, Deborah Boccio, Saumya Ramarao

Reproductive Health

The Information Technology (IT) Group at the Population Council responded to a need for a technology solution that would help researchers obtain more accurate responses to survey questions that concerned subject matter of a sensitive nature. The IT Group had three goals: (1) to enhance research by obtaining the best data possible, (2) to operate successfully in the local environment and be welcomed by the local populations, and (3) to increase the efficiency and cost-effectiveness of the survey process. This paper outlines approaches to consider when designing and implementing self-administered information and communications technology (ICT) questionnaires in developing countries, and …

Systems And Devices For Isothermal Biochemical Reactions And / Or Analysis, Robert W. Doebler Ii, Christopher Cooney, Anna Hickerson, James D. Sterling, Ali Nadim

Business and Information Technology Faculty Research & Creative Works

An isothermal reaction and analysis system may include a receiver to receive sample holders, a thermal control sub system to control a temperature of the receiver, an excitation Subsystem, a detection Subsystem and an analysis Subsystem. Excitation Sources and/or detectors are positioned to enhance data collection. Sample holders may include filters, selectively blocking and passing wavelengths or bands of electromagnetic radiation.

Applying Inventory Control Practices Within The Sisters Of Mercy Health Care Supply Chain, Server Apras

Graduate Theses and Dissertations

This research lays a foundation for the better understanding of the application and acceptance of more advanced inventory control practices within the health care supply chain. The demand characteristics and optimal control policies for pharmaceutical items within a multi-echelon provider network are examined within the framework of a case study. Demand forecasting algorithms were applied to forecast demand for inventory control procedures. A spreadsheet-based inventory planning tool was used to minimize the inventory holding and ordering costs subject to fill rate constraints. The costs of inventory control models are compared to the current ordering and inventory control strategies to document …

Temperature Control Device With A Flexible Temperature Control Surface, Phil D. Belgrader, Christopher G. Cooney, Robert D. Doebler, Anna D. Hickerson, Bruce D. Irvine, Ali D. Nadim, James D. Sterling, Reza Miraghale

Business and Information Technology Faculty Research & Creative Works

A device for controlling temperature in a reaction chamber is disclosed. The device comprises: a bladder assembly comprising a housing dimensioned to hold a reaction chamber disposed within an interior Volume of the housing; and a first temperature-control bladder disposed within the housing, the first temperature-control bladder is configured to receive a temperature-control fluid and comprises a flexible, heat conductive Surface that comes in contact with at least a portion of an exterior surface of the reaction chamber after receiving the temperature-control fluid. Also disclosed are a bladder thermal cycler, a temperature-control bladder assembly and methods for producing a thermal …

Continuous-Flow, Rapid Lysis Devices For Biodefense Nucleic Acid Diagnostic Systems, Robert W. Doebler, Barbara Erwin, Anna Hickerson, Bruce Irvine, Denice Woyski, Ali Nadim, James D. Sterling

Business and Information Technology Faculty Research & Creative Works

Two mechanical lysis devices have been developed as compact, robust components to provide rapid sample preparation for nucleic acid diagnostic systems. One such component, known as the Micro Bead-Beater™ (μBB™, BBTM, Claremont BioSolutions, Upland, CA), is a compact device that is capable of ultrarapid lysis (>90% lysis in 30 s) of micro volumes (< 80 μL) of Bacillus spores in a continuous-flow format or in a disposable single-tube format. The μBB is also capable of processing much larger volumes of solutions containing spores or vegetative cells using a continuous-flow mode. A second mechanical lysis device designed as a disposable component is the microfluidic bead blender, which uses a small electric motor to spin vanes within the bead-laden solution. DNA quantification results using dsDNA-binding fluorescence dyes and real-time PCR are presented, comparing the lysis of Bacillus subtilis spores using the μBB™ with other well-known lysis techniques. Nanoscale imaging results obtained using scanning electron microscopy and transmission electron microscopy on B. subtilis spores lyzed using the μBB™ are also presented. © 2009, Society for Laboratory Automation and Screening. All rights reserved.

Organizational Agility, James D. Sterling

Business and Information Technology Faculty Research & Creative Works

No abstract provided.

Ala Spotlight Series V.2, James D. Sterling

Business and Information Technology Faculty Research & Creative Works

No abstract provided.

Labevolution: What's The Next Mutation?, James D. Sterling

Business and Information Technology Faculty Research & Creative Works

No abstract provided.

Building Benchmarks, James D. Sterling

Business and Information Technology Faculty Research & Creative Works

No abstract provided.

Off And Running, James D. Sterling

Business and Information Technology Faculty Research & Creative Works

No abstract provided.

Moment Analysis Of Near-Equilibrium Binding Interactions During Electrophoresis, Yousef Daneshbod, James D. Sterling, Ali Nadim

Business and Information Technology Faculty Research & Creative Works

The electrophoretic transport of three chemically reacting species, two of which can bind reversibly to form the third, is analyzed mathematically. The species are assumed to move horizontally through a long channel with different electrophoretic mobilities and diffusion coefficients. By considering small perturbations of the system about equilibrium or when one of the two binding species is much more abundant than the other, the governing advection-reaction- diffusion equations can be linearized and studied via the method of moments. The result is a set of coupled ordinary differential equations for the moments that can be solved analytically. Analysis of the long-time …