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Creating A Better World With Information And Communication Technologies: Health Equity, Sajda Qureshi 2016 University of Nebraska at Omaha

Creating A Better World With Information And Communication Technologies: Health Equity, Sajda Qureshi

Sajda Qureshi

When news broke on 23rd July 2014, that a case of the deadly virus Ebola had been confirmed in Lagos, home to about 21 million people and a major transportation hub, the World held its breath. If not contained, this virus could spread quickly killing a multitude of people around the World. By 15th October, cases of Ebola had been recorded around the World: Liberia reported 4249 cases with 2458 deaths, Sierra Leone reported 3252 cases with 1183 deaths, Guinea 1472 cases with 843 deaths, Nigeria reported 20 cases with 8 deaths, the USA reported 3 cases and 1 death ...


Are We Making A Better World With Information And Communication Technology For Development (Ict4d) Research? Findings From The Field And Theory Building, Sajda Qureshi 2016 University of Nebraska at Omaha

Are We Making A Better World With Information And Communication Technology For Development (Ict4d) Research? Findings From The Field And Theory Building, Sajda Qureshi

Sajda Qureshi

As Information and Communication Technologies (ICTs) continue to penetrate people’s lives the world over, there is a sense that understanding the role of ICTs in the context of development needs to be conceptualized theoretically while making empirical contributions that add to what we know (Avgerou, 2008; Davison, 2012; Sein and Harindranath, 2004; Sahay and Walsham, 1995). Other scholars have pointed to the importance of this research for the field of Information Systems (ISs) in offering broader contributions. Avgerou (2008) suggests that in the era of globalization such research offers contributions in ISs beyond “organizational organizational and national boundaries and ...


Advancing Population Health: New Models And The Role Of Research. An Overview Of The 22nd Annual Health Care Systems Research Network Conference, Robert T. Greenlee, Lois E. Lamerato, Sarah M. Greene 2016 Marshfield Clinic Research Foundation

Advancing Population Health: New Models And The Role Of Research. An Overview Of The 22nd Annual Health Care Systems Research Network Conference, Robert T. Greenlee, Lois E. Lamerato, Sarah M. Greene

Journal of Patient-Centered Research and Reviews

The Health Care Systems Research Network (HCSRN; formerly HMO Research Network) held its annual conference in Atlanta, Georgia, in April 2016. A consortium of research organizations affiliated with 20 large health care delivery systems, the HCSRN met for the 22nd consecutive year to report on scientific achievements, develop and share skills and best practices, and promote new research collaborations. The 2016 conference, with a theme of “Advancing Population Health: New Models and the Role of Research,” was co-hosted on behalf of HCSRN by Marshfield Clinic Research Foundation and Henry Ford Health System’s Public Health Sciences Department. The 350 ...


Abstracts From The 22nd Annual Health Care Systems Research Network Conference, April 13–16, 2016, Atlanta, Georgia, 2016 Aurora Health Care

Abstracts From The 22nd Annual Health Care Systems Research Network Conference, April 13–16, 2016, Atlanta, Georgia

Journal of Patient-Centered Research and Reviews

This proceedings supplement includes selected abstracts presented at the 22nd annual conference of the Health Care Systems Research Network (HCSRN), held April 1316, 2016, in Atlanta, Georgia. The HCSRN connects the resources and capabilities of research departments from its member health care systems. Collectively, the organization represents more than 1,900 scientists and research staff from an array of disciplines such as epidemiology, economics, disparities, outcomes and quality assessment, trials and genomics.


Telehealth At Jefferson: The Future Of Medicine, Danica Stone 2016 Jefferson University Hospitals

Telehealth At Jefferson: The Future Of Medicine, Danica Stone

Population Health Matters (Formerly Health Policy Newsletter)

No abstract provided.


Using Machine Learning And Natural Language Processing Algorithms To Automate The Evaluation Of Clinical Decision Support In Electronic Medical Record Systems, Donald A. Szlosek, Jonathan M. Ferretti 2016 University of Southern Maine

Using Machine Learning And Natural Language Processing Algorithms To Automate The Evaluation Of Clinical Decision Support In Electronic Medical Record Systems, Donald A. Szlosek, Jonathan M. Ferretti

eGEMs (Generating Evidence & Methods to improve patient outcomes)

Introduction: As the number of clinical decision support systems incorporated into electronic medical records increases, so does the need to evaluate their effectiveness. The use of medical record review and similar manual methods for evaluating decision rules is laborious and inefficient. Here we use machine learning and natural language processing (NLP) algorithms to accurately evaluate a clinical decision support rule through an electronic medical record system and compare it against manual evaluation.

Methods: Modeled after the electronic medical record system EPIC at Maine Medical Center, we developed a dummy dataset containing physician notes in free text for 3621 artificial patients ...


Using A Patient Portal To Transmit Patient Reported Health Information Into The Electronic Record: Workflow Implications And User Experience, Barbara Sorondo, Amy Allen, Janet Bayleran, Stacy Doore, Samreen Fathima, Iyad Sabbagh, Lori Newcomb 2016 Eastern Maine Medical Center

Using A Patient Portal To Transmit Patient Reported Health Information Into The Electronic Record: Workflow Implications And User Experience, Barbara Sorondo, Amy Allen, Janet Bayleran, Stacy Doore, Samreen Fathima, Iyad Sabbagh, Lori Newcomb

eGEMs (Generating Evidence & Methods to improve patient outcomes)

Introduction: This project implemented an integrated patient self-reported screening tool in a patient portal and assessed clinical workflow and user experience in primary care practices.

Methods: An electronic health risk assessment based on the CMS Annual Wellness Visit (AWV) was developed to integrate self-reported health information into the patient’s electronic health record (EHR). Patients enrolled in care coordination tested the implementation. The evaluation plan included quantitative and qualitative measures of patient adoption, provider adoption, workflow impact, financial impact, and technology impact.

Findings: Seventy-two patients completed the sample AWV, and 80% of the questionnaires had clinical findings that required provider ...


Framework For Deploying A Virtualized Computing Environment For Collaborative And Secure Data Analytics, Adrian Meyer, Laura Green, Ciearro Faulk, Stephen Galla, Anne-Marie Meyer 2016 UNC Lineberger Comprehensive Cancer Center

Framework For Deploying A Virtualized Computing Environment For Collaborative And Secure Data Analytics, Adrian Meyer, Laura Green, Ciearro Faulk, Stephen Galla, Anne-Marie Meyer

eGEMs (Generating Evidence & Methods to improve patient outcomes)

Introduction: Large amounts of health data generated by a wide range of health care applications across a variety of systems have the potential to offer valuable insight into populations and health care systems, but robust and secure computing and analytic systems are required to leverage this information.

Framework: We discuss our experiences deploying a Secure Data Analysis Platform (SeDAP), and provide a framework to plan, build and deploy a virtual desktop infrastructure (VDI) to enable innovation, collaboration and operate within academic funding structures. It outlines 6 core components: Security, Ease of Access, Performance, Cost, Tools, and Training.

Conclusion: A platform ...


What Causes Care Coordination Problems? A Case For Microanalysis, Wayne Zachary, Russell Charles Maulitz, Drew A. Zachary 2016 Starship Health Technologies, LLC

What Causes Care Coordination Problems? A Case For Microanalysis, Wayne Zachary, Russell Charles Maulitz, Drew A. Zachary

eGEMs (Generating Evidence & Methods to improve patient outcomes)

Introduction: Care coordination (CC) is an important fulcrum for pursuing a range of health care goals. Current research and policy analyses have focused on aggregated data rather than on understanding what happens within individual cases. At the case level, CC emerges as a complex network of communications among providers over time, crossing and recrossing many organizational boundaries. Micro-level analysis is needed to understand where and how CC fails, as well as to identify best practices and root causes of problems.

Coordination Process Diagramming: Coordination Process Diagramming (CPD) is a new framework for representing and analyzing CC arcs at the micro ...


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

SLIS 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, 2016 Selected Works

Critical Success Factors (Csf) Of Health Care Is And Firm Performance At Jordanian Health Sector

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 ...


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