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Women And Healthcare In Appalachia: Impeding Circumstance And The Role Of Technology, Ashley Cano 2016 East Tennessee State Universtiy

Women And Healthcare In Appalachia: Impeding Circumstance And The Role Of Technology, Ashley Cano

Electronic Theses and Dissertations

For decades, healthcare access and quality in central and southern Appalachia have trailed the rest of the country. Entrenched poverty and low educational attainment compound healthcare problems. This study examines the healthcare obstacles women encounter in southern and central Appalachia and analyzes how technology use, such as Internet searching and social media affect women’s healthcare decisions. Data were analyzed from four focus groups conducted with women from the region. Results indicate that seeing a physician or not did not influence women’s propensity to search the Internet for health-related information or to seek support through social media sites. Additionally ...


Can Social Media Reduce Discrimination And Ignorance Towards Patients With Long Term Conditions? A Chronic Kidney Disease Example In The Uk And More Widely, Shahid N. Muhammad, Amy J. Zahra, Howard J. Leicester, Heather Davis, Stephen Davis 2016 The Renal Patient Support Group (RPSG)

Can Social Media Reduce Discrimination And Ignorance Towards Patients With Long Term Conditions? A Chronic Kidney Disease Example In The Uk And More Widely, Shahid N. Muhammad, Amy J. Zahra, Howard J. Leicester, Heather Davis, Stephen Davis

Patient Experience Journal

Long Term Conditions (LTCs) are increasing in prevalence and cost in Western healthcare. Patients with such conditions are often classed as “disabled”, because of impacts of self-care on “activities of daily life” or secondary consequences of conditions (impairments) affecting factors such as mobility, concentration and communications. Disability needs are often ignored in the design of services and treatment of individuals. It manifests as services which some find difficult to use and lack of personal respect (discrimination) often based on lack of understanding by the healthcare profession itself (ignorance). This paper explores how Social Media (SM), an example “Assistive Technology” in ...


Virus-Host Co-Evolution: Determining The Origin Of Human Cytomegalovirus Us27 And Us28, Jessica A. Scarborough, Juliet Spencer, John Paul 2016 University of San Francisco

Virus-Host Co-Evolution: Determining The Origin Of Human Cytomegalovirus Us27 And Us28, Jessica A. Scarborough, Juliet Spencer, John Paul

Creative Activity and Research Day - CARD

G protein-coupled receptors (GPCR) are the largest family of cell surface proteins, found in organisms from yeast to humans. Human cytomegalovirus (HCMV) is a widespread pathogen that is particularly skilled at evading immune detection and defense mechanisms, largely due to extensive co-evolution with its host’s immune system. One aspect of this co-evolution involves the acquisition of four virally encoded GPCR homologs: US27, US28, UL33 and UL78. In this research, phylogenetic analysis was used to investigate the origins of the US27 and US28 genes, which are adjacent in the viral genome. The results indicate that both US27 and US28 share ...


A New Framework And Prototype Solution For Clinical Decision Support And Research In Genomics And Other Data-Intensive Fields Of Medicine, James Evans, Kirk Wilhelmsen, Jonathan Berg, Charles Schmitt, Ashok Krishnamurthy, Karamarie Fecho, Stanley Ahalt 2016 University of North Carolina at Chapel Hill

A New Framework And Prototype Solution For Clinical Decision Support And Research In Genomics And Other Data-Intensive Fields Of Medicine, James Evans, Kirk Wilhelmsen, Jonathan Berg, Charles Schmitt, Ashok Krishnamurthy, Karamarie Fecho, Stanley Ahalt

eGEMs (Generating Evidence & Methods to improve patient outcomes)

Introduction: In genomics and other fields, it is now possible to capture and store large amounts of data in electronic medical records (EMRs). However, it is not clear if the routine accumulation of massive amounts of (largely uninterpretable) data will yield any health benefits to patients. Nevertheless, the use of large-scale medical data is likely to grow. To meet emerging challenges and facilitate optimal use of genomic data, our institution initiated a comprehensive planning process that addresses the needs of all stakeholders (e.g., patients, families, healthcare providers, researchers, technical staff, administrators). Our experience with this process and a key ...


Developing An Algorithm To Identify History Of Cancer Using Electronic Medical Records, Christina L. Clarke, Heather S. Feigelson 2016 Kaiser Permanente Institute for Health Research

Developing An Algorithm To Identify History Of Cancer Using Electronic Medical Records, Christina L. Clarke, Heather S. Feigelson

eGEMs (Generating Evidence & Methods to improve patient outcomes)

Introduction/Objective: The objective of this study was to develop an algorithm to identify Kaiser Permanente Colorado (KPCO) members with a history of cancer.

Background: Tumor registries are used with high precision to identify incident cancer, but are not designed to capture prevalent cancer within a population. We sought to identify a cohort of adults with no history of cancer, and thus, we could not rely solely on the tumor registry.

Methods: We included all KPCO members between the ages of 40-75 years who were continuously enrolled during 2013 (N=201,787). Data from the tumor registry, chemotherapy files, inpatient ...


Metadata-Driven Creation Of Data Marts From An Eav-Modeled Clinical Research Database, Cynthia A. Brandt, Richard Morse, Keri Matthews, Kexin Sun, Aniruddha M. Deshpande, Rohit Gadagkar, Dorothy B. Cohen, Perry L. Miller, Prakash M. Nadkarni 2016 Yale University School of Medicine

Metadata-Driven Creation Of Data Marts From An Eav-Modeled Clinical Research Database, Cynthia A. Brandt, Richard Morse, Keri Matthews, Kexin Sun, Aniruddha M. Deshpande, Rohit Gadagkar, Dorothy B. Cohen, Perry L. Miller, Prakash M. Nadkarni

Keri Matthews

Generic clinical study data management systems can record data on an arbitrary number of parameters in an arbitrary number of clinical studies without requiring modification of the database schema. They achieve this by using an Entity-Attribute-Value (EAV) model for clinical data. While very flexible for creating transaction-oriented systems for data entry and browsing of individual forms, EAV-modeled data is unsuitable for direct analytical processing, which is the focus of data marts. For this purpose, such data must be extracted and restructured appropriately. This paper describes how such a process, which is non-trivial and highly error prone if performed using non-systematic ...


The Benefits And Regulations Of Electronic Cigarettes, Sarah Kenney 2016 Wright State University

The Benefits And Regulations Of Electronic Cigarettes, Sarah Kenney

Best Integrated Writing

Kenney presents the risks and benefits of E-cigarettes and determines that this new technology can aid smokers in their attempts to stop smoking.


Privacy, Fairness, And Respect For Individuals, Dixie B. Baker, Jane Kaye, Sharon F. Terry 2016 Martin, Blanck & Associates

Privacy, Fairness, And Respect For Individuals, Dixie B. Baker, Jane Kaye, Sharon F. Terry

eGEMs (Generating Evidence & Methods to improve patient outcomes)

Introduction: Individuals have a moral claim to be involved in the governance of their personal data. Individuals’ rights include privacy, autonomy, and the ability to choose for themselves how they want to manage risk, consistent with their own personal values and life situations. The Fair Information Practices principles (FIPPs) offer a framework for governance. Privacy-enhancing technology that complies with applicable law and FIPPs offers a dynamic governance tool for enabling the fair and open use of individual’s personal data.

Perceptions of Risk: Any governance model must protect against the risks posed by data misuse. Individual perceptions of risks are ...


The Future Of Patient Engagement In The Governance Of Shared Data, Carolyn Petersen 2016 Mayo Clinic

The Future Of Patient Engagement In The Governance Of Shared Data, Carolyn Petersen

eGEMs (Generating Evidence & Methods to improve patient outcomes)

Background: The emerging health care system increasingly values patient engagement and shared decision-making between patients and their providers. The practice of these values is gaining importance as the patient-centered medical home model and personalized medicine come into greater use.

Opportunity for Improvement: Exploration of patient preferences about personal health data use for research and quality improvement is a fundamental element of the provider-patient relationship. Giving patients an explicit opportunity to discuss their options about use of their data and implementing a process that allows patients to receive desired communications about how their information is used can help build patient trust ...


Extracting Electronic Health Record Data In A Practice-Based Research Network: Lessons Learned From Collaborations With Translational Researchers, Allison M. Cole, Kari A. Stephens, Gina A. Keppel, Hossein Estiri, Laura-Mae Baldwin 2016 University of Washington, Institute of Tranlsational Health Sciences

Extracting Electronic Health Record Data In A Practice-Based Research Network: Lessons Learned From Collaborations With Translational Researchers, Allison M. Cole, Kari A. Stephens, Gina A. Keppel, Hossein Estiri, Laura-Mae Baldwin

eGEMs (Generating Evidence & Methods to improve patient outcomes)

Context: The widespread adoption of electronic health records (EHRs) offers significant opportunities to conduct research with clinical data from patients outside traditional academic research settings. Because EHRs are designed primarily for clinical care and billing, significant challenges are inherent in the use of EHR data for clinical and translational research. Efficient processes are needed for translational researchers to overcome these challenges. The Data QUEST Coordinating Center (DQCC), which oversees Data QUEST – a primary care EHR data sharing infrastructure – created processes that that guide EHR data extraction for clinical and translational research across these diverse practices. We describe these processes and ...


Clinical Informatics : Recursive Concurrence Intravenous Medication Administration Systems Protocols For Addressing The Potential Problem Of Recessive Lethal Autonomy In Smart Infusion Systems, Nyagudi Nyagudi 2016 Independent Contractor - Litigation Support

Clinical Informatics : Recursive Concurrence Intravenous Medication Administration Systems Protocols For Addressing The Potential Problem Of Recessive Lethal Autonomy In Smart Infusion Systems, Nyagudi Nyagudi

Nyagudi M Nyagudi, B.Sc. Math & Phy (Nairobi, 1997), M.Sc. Info. Sys. (Notarized Equiv. of Nairobi, 2015)

Clinical Informatics: Recursive Concurrence Intravenous Medication Administration Systems Protocols for Addressing the Potential Problem of Recessive Lethal Autonomy in Smart Infusion Systems


Bidirectional Data Collaborations In Distributed Research, Kevin Haynes, Nandini Selvam, Mark J. Cziraky 2016 HealthCore, Inc.

Bidirectional Data Collaborations In Distributed Research, Kevin Haynes, Nandini Selvam, Mark J. Cziraky

eGEMs (Generating Evidence & Methods to improve patient outcomes)

Introduction: The need for collaborations with bidirectional data exchange within and across distributed research networks has increased.

Currently Existing Activities: This commentary will present currently publically available activities including the Sentinel Initiative, the Patient-Centered Outcomes Research Network (PCORnet), and the NIH Research Collaboratory.

Current Technical and Governance Challenges: Even with the advances made in this arena, several technical and governance challenges remain including the evolution of clinically rich data sources and modes of care, availability of longitudinal data resources through data linkage, and the processes to share data and link data resources while ensuring privacy and proprietary control of data ...


Universal Heath Record, Tyler D. Kronewitter, Sharon Lee, Andrew Espar 2016 Purdue University

Universal Heath Record, Tyler D. Kronewitter, Sharon Lee, Andrew Espar

Engagement and Service-Learning Summit

No abstract provided.


A Data-Driven Behavior Modeling And Analysis Framework For Diabetic Patients On Insulin Pumps, Sanjian Chen, Lu Feng, Michael Rickels, Amy Peleckis, Oleg Sokolsky, Insup Lee 2016 University of Pennsylvania

A Data-Driven Behavior Modeling And Analysis Framework For Diabetic Patients On Insulin Pumps, Sanjian Chen, Lu Feng, Michael Rickels, Amy Peleckis, Oleg Sokolsky, Insup Lee

Oleg Sokolsky

About 30%-40% of Type 1 Diabetes (T1D) patients in the United States use insulin pumps. Current insulin infusion systems require users to manually input meal carb count and approve or modify the system-suggested meal insulin dose. Users can give correction insulin boluses at any time. Since meal carbohydrates and insulin are the two main driving forces of the glucose physiology, the user-specific eating and pump-using behavior has a great impact on the quality of glycemic control.

In this paper, we propose an “Eat, Trust, and Correct” (ETC) framework to model the T1D insulin pump users’ behavior. We use machine ...


Past, Present, And Future Of Ehealth And Mhealth Research To Improve Physical Activity And Dietary Behaviors, Corneel Vandelanotte, Andre Müller, Camille Short, Melanie Hingle, Nicole Nathan, Susan Williams, Michael Lopez, Sanjoti Parekh, Carol Maher 2016 University of Southampton

Past, Present, And Future Of Ehealth And Mhealth Research To Improve Physical Activity And Dietary Behaviors, Corneel Vandelanotte, Andre Müller, Camille Short, Melanie Hingle, Nicole Nathan, Susan Williams, Michael Lopez, Sanjoti Parekh, Carol Maher

Andre M Müller

Because physical inactivity and unhealthy diets are highly prevalent, there is a need for cost-effective interventions that can reach large populations. Electronic health (eHealth) and mobile health (mHealth) solutions have shown promising outcomes and have expanded rapidly in the past decade. The purpose of this report is to provide an overview of the state of the evidence for the use of eHealth and mHealth in improving physical activity and nutrition behaviors in general and special populations. The role of theory in eHealth and mHealth interventions is addressed, as are methodological issues. Key recommendations for future research in the field of ...


Past, Present, And Future Of Ehealth And Mhealth Research To Improve Physical Activity And Dietary Behaviors, Corneel Vandelanotte, Andre Müller, Camille Short, Melanie Hingle, Nicole Nathan, Susan Williams, Michael Lopez, Sanjoti Parekh, Carol Maher 2016 University of Southampton

Past, Present, And Future Of Ehealth And Mhealth Research To Improve Physical Activity And Dietary Behaviors, Corneel Vandelanotte, Andre Müller, Camille Short, Melanie Hingle, Nicole Nathan, Susan Williams, Michael Lopez, Sanjoti Parekh, Carol Maher

Andre M Müller

Because physical inactivity and unhealthy diets are highly prevalent, there is a need for cost-effective interventions that can reach large populations. Electronic health (eHealth) and mobile health (mHealth) solutions have shown promising outcomes and have expanded rapidly in the past decade. The purpose of this report is to provide an overview of the state of the evidence for the use of eHealth and mHealth in improving physical activity and nutrition behaviors in general and special populations. The role of theory in eHealth and mHealth interventions is addressed, as are methodological issues. Key recommendations for future research in the field of ...


Consensus Statement On Electronic Health Predictive Analytics: A Guiding Framework To Address Challenges, Ruben Amarasingham, Anne-Marie J. Audet, David W. Bates, I. Glenn Cohen, Martin Entwistle, G J. Escobar, Vincent Liu, Lynn Etheredge, Bernard Lo, Lucila Ohno-Machado, Sudha Ram, Suchi Saria, Lisa M. Schilling, Anand Shah, Walter F. Stewart, Ewout W. Steyerberg, Bin Xie 2016 PCCI

Consensus Statement On Electronic Health Predictive Analytics: A Guiding Framework To Address Challenges, Ruben Amarasingham, Anne-Marie J. Audet, David W. Bates, I. Glenn Cohen, Martin Entwistle, G J. Escobar, Vincent Liu, Lynn Etheredge, Bernard Lo, Lucila Ohno-Machado, Sudha Ram, Suchi Saria, Lisa M. Schilling, Anand Shah, Walter F. Stewart, Ewout W. Steyerberg, Bin Xie

eGEMs (Generating Evidence & Methods to improve patient outcomes)

Context: The recent explosion in available electronic health record (EHR) data is motivating a rapid expansion of electronic health care predictive analytic (e-HPA) applications, defined as the use of electronic algorithms that forecast clinical events in real time with the intent to improve patient outcomes and reduce costs. There is an urgent need for a systematic framework to guide the development and application of e-HPA to ensure that the field develops in a scientifically sound, ethical, and efficient manner.

Objectives: Building upon earlier frameworks of model development and utilization, we identify the emerging opportunities and challenges of e-HPA, propose a ...


Evaluating The Quit-Primo Clinical Practice Eportal To Increase Smoker Engagement With Online Cessation Interventions: A National Hybrid Type 2 Implementation Study, Thomas Houston, Rajani Sadasivam, Jeroan Allison, Arlene Ash, Midge Ray, Thomas English, Timothy Hogan, Daniel Ford 2016 University of Massachusetts Medical School

Evaluating The Quit-Primo Clinical Practice Eportal To Increase Smoker Engagement With Online Cessation Interventions: A National Hybrid Type 2 Implementation Study, Thomas Houston, Rajani Sadasivam, Jeroan Allison, Arlene Ash, Midge Ray, Thomas English, Timothy Hogan, Daniel Ford

Jeroan J. Allison

BACKGROUND: Effective web-assisted tobacco interventions (WATIs) have been underutilized by smokers; moreover, despite practice guideline recommendations, clinical teams do not routinely refer smokers to WATIs. Our goal was to test a clinical practice innovation, an ePortal designed to change practice and patient behavior. Our hypotheses were that the integrated system would result in increased smoker referrals, with an automated follow-up system resulting in more smoker registrations and finally augmentations of the WATI would result in more smokers quitting at 6 months.

METHODS: Practice ePortal Implementation Trial: Practices (n = 174) were randomized to an online practice ePortal with an "e-referral tool ...


Why Smart Watches Shouldn't Just Become A Trend: Using Smart Watches In The Treatment Of Diabetes, Caelan Rapp 2016 Missouri University of Science and Technology

Why Smart Watches Shouldn't Just Become A Trend: Using Smart Watches In The Treatment Of Diabetes, Caelan Rapp

S&T’s Peer to Peer

As mobile technologies have advanced, the idea of using them in health care applications has expanded greatly. In a 2011 paper by Boulos et al, the impact of mobile technology such as smartphones in health care was examined. Numerous benefits of the implementations were noted, such as how smartphones are able to provide a connection between both doctors and patients due to the network access capabilities of the device. Additionally, using the existing monitoring and sensor technologies on a smartphone can eliminate the need for other external devices, thus reducing the maintenance required by the patient. All in all, keeping ...


The Public Health Information Technology Maturity Index: An Approach To Evaluating The Adoption And Use Of Public Health Information Technology, Kenyon Crowley, Robert S. Gold, Sruthi Bandi, Ritu Agarwal 2016 University of Maryland

The Public Health Information Technology Maturity Index: An Approach To Evaluating The Adoption And Use Of Public Health Information Technology, Kenyon Crowley, Robert S. Gold, Sruthi Bandi, Ritu Agarwal

Frontiers in Public Health Services and Systems Research

Background: Public health information technology (PHIT) has the potential to improve the effective and efficient use of information in achieving public health objectives. Information technology maturity models have been extensively used in other domains to guide information technology assessment and planning, but an information technology maturity model tailored for public health departments has heretofore been unavailable.

Purpose: The purpose of this study was to develop a Public Health Information Technology Maturity Index.

Methods: An extensive literature review and content analysis was conducted of information system adoption, use, and maturity in general and in the public health systems and services research ...


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