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Collecting, Integrating, And Disseminating Patient-Reported Outcomes For Research In A Learning Healthcare System, Christopher A. Harle, Gloria Lipori, Robert W. Hurley 2016 Indiana University Richard M. Fairbanks School of Public Health

Collecting, Integrating, And Disseminating Patient-Reported Outcomes For Research In A Learning Healthcare System, Christopher A. Harle, Gloria Lipori, Robert W. Hurley

eGEMs (Generating Evidence & Methods to improve patient outcomes)

Introduction: Advances in health policy, research, and information technology have converged to increase the electronic collection and use of patient-reported outcomes (PROs). Therefore, it is important to share lessons learned in implementing PROs in research information systems.

Case Description: The purpose of this case study is to describe a novel information system for electronic PROs and lessons learned in implementing that system to support research in an academic health center. The system incorporates freely available and commercial software and involves clinical and research workflows that support the collection, transformation, and research use of PRO data. The software and processes that ...


A Framework To Support The Sharing And Re-Use Of Computable Phenotype Definitions Across Health Care Delivery And Clinical Research Applications, Rachel Richesson, Michelle Smerek, C. Blake Cameron 2016 Duke University School of Nursing

A Framework To Support The Sharing And Re-Use Of Computable Phenotype Definitions Across Health Care Delivery And Clinical Research Applications, Rachel Richesson, Michelle Smerek, C. Blake Cameron

eGEMs (Generating Evidence & Methods to improve patient outcomes)

Introduction: The ability to reproducibly identify clinically equivalent patient populations is critical to the vision of learning health care systems that implement and evaluate evidence-based treatments. The use of common or semantically equivalent phenotype definitions across research and health care use cases will support this aim. Currently, there is no single consolidated repository for computable phenotype definitions, making it difficult to find all definitions that already exist, and also hindering the sharing of definitions between user groups.

Method: Drawing from our experience in an academic medical center that supports a number of multisite research projects and quality improvement studies, we ...


Using A Data Quality Framework To Clean Data Extracted From The Electronic Health Record: A Case Study., Oliwier Dziadkowiec, Tiffany Callahan, Mustafa Ozkaynak, Blaine Reeder, John Welton 2016 University of Colorado, College of Nursing, Anschutz Medical Campus

Using A Data Quality Framework To Clean Data Extracted From The Electronic Health Record: A Case Study., Oliwier Dziadkowiec, Tiffany Callahan, Mustafa Ozkaynak, Blaine Reeder, John Welton

eGEMs (Generating Evidence & Methods to improve patient outcomes)

Objectives: Examine (1) the appropriateness of using a data quality (DQ) framework developed for relational databases as a data-cleaning tool for a dataset extracted from two EPIC databases; and (2) the differences in statistical parameter estimates on a dataset cleaned with the DQ framework and dataset not cleaned with the DQ framework.

Background: The use of data contained within electronic health records (EHRs) has the potential to open doors for a new wave of innovative research. Without adequate preparation of such large datasets for analysis, the results might be erroneous, which might affect clinical decision making or results of Comparative ...


Glu: An Online Type 1 Diabetes Information Community, Stefanie Witt 2016 San Jose State University

Glu: An Online Type 1 Diabetes Information Community, Stefanie Witt

iSchool Student Research Journal

This research paper examines the online health community Glu (MyGlu.org), a type 1 diabetes social media site. Type 1 diabetes is a chronic medical condition that requires constant and specialized medical attention. Online health communities like Glu, are an important part of maintaining a healthy lifestyle for many of its members. This study discusses the composition of this information community, the motivations of its members, and the benefits members gain through their participation. It describes the major characteristics of the community and focuses on the information needs of type 1 diabetics. It concludes with reflections on how libraries and ...


Prognostic Indices For Hospitalized Older Adults: A Meta-Analysis And Systematic Review, Ariba Khan, Ayesha Maria, James Hocker, Maharaj Singh, Michelle Simpson 2016 Department of Geriatrics, Aurora UW Medical Group

Prognostic Indices For Hospitalized Older Adults: A Meta-Analysis And Systematic Review, Ariba Khan, Ayesha Maria, James Hocker, Maharaj Singh, Michelle Simpson

Ariba Khan, MD, MPH

Background: A prognostication predictive model incorporated into the electronic health record (EHR) may be useful in assisting the health care team in accurately predicting mortality and may be used in appropriately allocating palliative care services.

Purpose: To systematically review and summarize current medical literature regarding the factors predictive of mortality in an inpatient population above 65 years of age.

Methods: Nondisease-specific prognostication indices that predict 1-year mortality in an inpatient population of adults over age 65 were included. We excluded studies that estimated intensive care unit, disease-specific or in-hospital mortality. A MEDLINE, CINAHL, Ovid and Cochrane literature search of English-language ...


An Automated Model Using Electronic Health Record Data To Identify Delirium Among Hospitalized Older Adults: A Pilot Project, Ariba Khan, Maharaj Singh, Hina Singh, Ayesha Maria, Michelle Simpson 2016 Department of Geriatrics, Aurora UW Medical Group

An Automated Model Using Electronic Health Record Data To Identify Delirium Among Hospitalized Older Adults: A Pilot Project, Ariba Khan, Maharaj Singh, Hina Singh, Ayesha Maria, Michelle Simpson

Ariba Khan, MD, MPH

Background: Delirium is a serious change in mental status with adverse outcomes, but remains underrecognized. The electronic health record (EHR) may assist in the identification of delirium.

Purpose: This study was performed to generate an automated delirium identification model using data from the EHR among hospitalized older adults.

Methods: Inpatients 65 years and older were included in this cross-sectional study. The researchers used “confusion assessment method” as the gold standard to identify delirium. Four categories of variables were obtained from the EHR on the day of and the day prior to researcher assessment: 1) hypoactive delirium (any one of the ...


Feasibility And Compliance With Daily Home Ecg Monitoring Of The Qt Interval In Heart Transplant Recipients, Erik V. Carter, Kathleen T. Hickey, David M. Pickham, Lynn V. Doering, Belinda Chen, Patricia R. E. Harris, Barbara J. Drew 2016 University of California, San Francisco School of Nursing, San Francisco

Feasibility And Compliance With Daily Home Ecg Monitoring Of The Qt Interval In Heart Transplant Recipients, Erik V. Carter, Kathleen T. Hickey, David M. Pickham, Lynn V. Doering, Belinda Chen, Patricia R. E. Harris, Barbara J. Drew

Patricia Harris

About 13% of adult heart transplant recipients do not survive to one year and a major cause of death is acute cellular allograft rejection.1,2 According to the 2009 annual United States data published from the International Society for Heart Lung Transplantation Registry, acute rejection occurs in 25 – 35% of transplant recipients within the first year following transplant surgery.3 In order to detect the early stages of rejection so that more aggressive and early immunosuppressant therapy can be initiated, frequent biopsies of heart tissue are performed (typically, weekly or every other week in the first 3 months and ...


Critical Success Factors (Csf) Of Health Care Is And Firm Performance At Jordanian Health Sector, Rae'd Masa'deh 2016 University of Jordan

Critical Success Factors (Csf) Of Health Care Is And Firm Performance At Jordanian Health Sector, Rae'd Masa'deh

Rae'd Masa'deh

Although the importance of investing in health technology has increased in the presence of electronic channels such as the Internet, there is lack of studies in how Jordanian hospitals are implementing such services. This research will examine the critical success factors of health care quality implementations as part of e-services models of the Jordanian health service sector. The researcher will adopt across triangulation methodology for research including survey by using drop and collect questionnaires in Jordan; and conducting interviews with Jordanian managers and executives in the adopted sector. This is to develop and empirically test a comprehensive causal model regarding ...


Multiple Imputation Based Clustering Validation (Miv) For Big Longitudinal Trial Data With Missing Values In Ehealth, Zhaoyang Zhang, Hua (Julia) Fang, Honggang Wang 2016 University of Massachusetts Medical School

Multiple Imputation Based Clustering Validation (Miv) For Big Longitudinal Trial Data With Missing Values In Ehealth, Zhaoyang Zhang, Hua (Julia) Fang, Honggang Wang

Quantitative Health Sciences Publications and Presentations

Web-delivered trials are an important component in eHealth services. These trials, mostly behavior-based, generate big heterogeneous data that are longitudinal, high dimensional with missing values. Unsupervised learning methods have been widely applied in this area, however, validating the optimal number of clusters has been challenging. Built upon our multiple imputation (MI) based fuzzy clustering, MIfuzzy, we proposed a new multiple imputation based validation (MIV) framework and corresponding MIV algorithms for clustering big longitudinal eHealth data with missing values, more generally for fuzzy-logic based clustering methods. Specifically, we detect the optimal number of clusters by auto-searching and -synthesizing a suite of ...


The Effect Of Mobile Self-Monitoring On Self-Care Behaviors In Heart Failure And Copd Patients: A Feasibility Study, Elizabeth Chin, Kristen Sethares, Paul Fortier, Benjamin Viall 2016 University of Massachusetts Dartmouth

The Effect Of Mobile Self-Monitoring On Self-Care Behaviors In Heart Failure And Copd Patients: A Feasibility Study, Elizabeth Chin, Kristen Sethares, Paul Fortier, Benjamin Viall

UMass Center for Clinical and Translational Science Research Retreat

Exacerbations of heart failure (HF) and chronic obstructive lung disease (COPD) are among the most costly illnesses. Patient recognition of changes in symptoms cueing imminent exacerbation is poor. Innovative strategies to improve patient symptom recognition, self-care behaviors and treatment seeking are necessary to improve overall health outcomes.

The aim of this pilot study was to test the feasibility of a wireless health monitoring device and cell phone app in 10 patients (5 with COPD and 5 with HF). This collaborative multidisciplinary study is innovative in its inclusion of the patient as an active partner in the use of technology to ...


Implementation And Utilization Of Mobile Technology In Adolescent Bariatric Surgery Patients, Jonathan Green, Jeremy T. Aidlen, Sherry L. Pagoto, Jennifer Bram 2016 University of Massachusetts Medical School

Implementation And Utilization Of Mobile Technology In Adolescent Bariatric Surgery Patients, Jonathan Green, Jeremy T. Aidlen, Sherry L. Pagoto, Jennifer Bram

UMass Center for Clinical and Translational Science Research Retreat

Obesity is the most prevalent chronic disease of childhood. Obese adolescents are likely to become obese adults with significant associated co-morbidities and early mortality. In Massachusetts, 30% of children ages 10-17 are overweight or obese. It is projected that 48% of Massachusetts’ adults will be obese by 2030. In March of 2015, the Good Fit Adolescent Weight and Wellness Center opened, with a goal of addressing this issue with a proven multidisciplinary approach.

Mobile technology continues to develop at a rapid pace. Adolescent access to mobile technology on smart phones and tablets continues to increase. Mobile fitness tracker applications are ...


A Pilot Randomized Controlled Trial Of A Videoconferencing Smoking Cessation Intervention For Korean American Women: Preliminary Findings, Sun S. Kim, Somporn Sitthisongkram, Kunsook Bernstein, Hua (Julia) Fang, Won S. Choi, Douglas M. Ziedonis 2016 University of Massachusetts Boston

A Pilot Randomized Controlled Trial Of A Videoconferencing Smoking Cessation Intervention For Korean American Women: Preliminary Findings, Sun S. Kim, Somporn Sitthisongkram, Kunsook Bernstein, Hua (Julia) Fang, Won S. Choi, Douglas M. Ziedonis

UMass Center for Clinical and Translational Science Research Retreat

Introduction: Korean American women prefer online or telephone smoking cessation interventions that can be remotely accessed from home. However, these interventions have been found ineffective for the group.

Methods: This study is a pilot clinical trial testing the feasibility and acceptability of a videoconferencing smoking cessation intervention for Korean American women and compared its preliminary efficacy with a telephone-based smoking cessation intervention. Korean women in the United States were recruited nationwide and randomly assigned at a ratio of 1:1 to either a video arm or a telephone arm. Participants in both arms received eight 30-minute weekly individualized counseling sessions ...


Health Applications Of Social Network Analysis And Computational Social Science, James Kitts 2016 University of Massachusetts Amherst

Health Applications Of Social Network Analysis And Computational Social Science, James Kitts

UMass Center for Clinical and Translational Science Research Retreat

Social network analysis has proliferated across the social and behavioral sciences, shifting our analytical focus from individuals to the patterns of social ties that connect them. This perspective has enriched our understanding of a great variety of health-related phenomena, including the spread of STDs on contact networks, the spread of health care practices on physicians’ professional networks, the dynamics of patient transfers on networks of clinics, and the spread of weight-related behaviors among adolescents at risk for obesity. The advent of the era of computational social science has augmented the contributions of this perspective, by moving beyond expensive and laborious ...


Using Mobile-Based Technology To Screen For Atrial Fibrillation In India, Apurv Soni 2016 University of Massachusetts Medical School

Using Mobile-Based Technology To Screen For Atrial Fibrillation In India, Apurv Soni

UMass Center for Clinical and Translational Science Research Retreat

As part of the mini-symposium entitled "Interdiscipllinary Mobile Health and Sensing Research," this presentation discusses use of a novel smartphone app for cardiovascular screening in rural India.


Electronic Communication Systems: Energizing The Patient With Diabetes To Engage In Their Own Health Care, Michael J. Thompson 2016 University of Massachusetts Medical School

Electronic Communication Systems: Energizing The Patient With Diabetes To Engage In Their Own Health Care, Michael J. Thompson

UMass Center for Clinical and Translational Science Research Retreat

As part of the mini-symposium entitled "Interdiscipllinary Mobile Health and Sensing Research," Dr. Thompson discusses his work in mobile diabetes monitoring.


Improving Policies Impacting School Absenteeism Due To Influenza Using Agent-Based Simulation Modeling., Galina V. Miller 2016 Purdue Polytechnic Institute

Improving Policies Impacting School Absenteeism Due To Influenza Using Agent-Based Simulation Modeling., Galina V. Miller

Purdue P-12 Networking Summit & Poster Session

No abstract provided.


Discordant Documentation Of Obesity Body Mass Index And Obesity Diagnosis In Electronic Medical Records, Jennifer T. Fink, George L. Morris III, Maharaj Singh, David A. Nelson, Renee E. Walker, Ron A. Cisler 2016 Aurora Health Care

Discordant Documentation Of Obesity Body Mass Index And Obesity Diagnosis In Electronic Medical Records, Jennifer T. Fink, George L. Morris Iii, Maharaj Singh, David A. Nelson, Renee E. Walker, Ron A. Cisler

Maharaj Singh

Purpose: This study examined concordance between presence of obesity body mass index (BMI), defined as BMI ≥ 30, in the patient’s electronic medical record (EMR) and a documented diagnosis of obesity.

Methods: We conducted a retrospective review of the EMR in a large health care system for a 1-year period (2012). A total of 397,313 patients met the study criteria of having at least one physician visit, being at least 18 years of age, and not being pregnant. Of those, 158,327 (40%) had a recorded BMI ≥ 30. We examined the EMR of these obese patients to determine whether ...


Prognostic Indices For Hospitalized Older Adults: A Meta-Analysis And Systematic Review, Ariba Khan, Ayesha Maria, James Hocker, Maharaj Singh, Michelle Simpson 2016 Department of Geriatrics, Aurora UW Medical Group

Prognostic Indices For Hospitalized Older Adults: A Meta-Analysis And Systematic Review, Ariba Khan, Ayesha Maria, James Hocker, Maharaj Singh, Michelle Simpson

Maharaj Singh

Background: A prognostication predictive model incorporated into the electronic health record (EHR) may be useful in assisting the health care team in accurately predicting mortality and may be used in appropriately allocating palliative care services.

Purpose: To systematically review and summarize current medical literature regarding the factors predictive of mortality in an inpatient population above 65 years of age.

Methods: Nondisease-specific prognostication indices that predict 1-year mortality in an inpatient population of adults over age 65 were included. We excluded studies that estimated intensive care unit, disease-specific or in-hospital mortality. A MEDLINE, CINAHL, Ovid and Cochrane literature search of English-language ...


An Automated Model Using Electronic Health Record Data To Identify Delirium Among Hospitalized Older Adults: A Pilot Project, Ariba Khan, Maharaj Singh, Hina Singh, Ayesha Maria, Michelle Simpson 2016 Department of Geriatrics, Aurora UW Medical Group

An Automated Model Using Electronic Health Record Data To Identify Delirium Among Hospitalized Older Adults: A Pilot Project, Ariba Khan, Maharaj Singh, Hina Singh, Ayesha Maria, Michelle Simpson

Maharaj Singh

Background: Delirium is a serious change in mental status with adverse outcomes, but remains underrecognized. The electronic health record (EHR) may assist in the identification of delirium.

Purpose: This study was performed to generate an automated delirium identification model using data from the EHR among hospitalized older adults.

Methods: Inpatients 65 years and older were included in this cross-sectional study. The researchers used “confusion assessment method” as the gold standard to identify delirium. Four categories of variables were obtained from the EHR on the day of and the day prior to researcher assessment: 1) hypoactive delirium (any one of the ...


"What's App?" Utilizing Evidence Based Medicine Apps In The Clinical Setting, Kathryn C. O'Donovan 2016 Butler University

"What's App?" Utilizing Evidence Based Medicine Apps In The Clinical Setting, Kathryn C. O'Donovan

BU Well

The medical community has utilized evidence-based medicine, or EBM, in practice for decades, and healthcare personnel are used to the idea of utilizing research and statistics to determine the treatment of patients. However, as technology advances, the use of electronics and EBM apps has increased in the clinical setting. While there are advantages to clinicians having resources at their fingertips as they talk with patients, there are also hurdles that could harm or offend patients. So as healthcare inevitably becomes more and more electronic, can providers strike the balance needed to effectively use EBM apps in practice to provide optimum ...


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