Search Results - "Pieczkiewicz, David S."

Advantages and disadvantages of using theory-based versus data-driven models with social and behavioral determinants of health data by Austin, Robin R, McLane, Tara M, Pieczkiewicz, David S, Adam, Terrence, Monsen, Karen A

“…Abstract Objective Theory-based research of social and behavioral determinants of health (SBDH) found SBDH-related patterns in interventions and outcomes for…”
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Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus by Kim, Era, Caraballo, Pedro J., Castro, M. Regina, Pieczkiewicz, David S., Simon, Gyorgy J.

“…Although machine learning models are increasingly being developed for clinical decision support for patients with type 2 diabetes, the adoption of these models…”
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Understanding Women’s Cardiovascular Health Using MyStrengths+MyHealth: A Patient‐Generated Data Visualization Study of Strengths, Challenges, and Needs Differences by Austin, Robin R., Mathiason, Michelle A., Lindquist, Ruth A., McMahon, Siobhan K., Pieczkiewicz, David S., Monsen, Karen A.

“…Purpose The purpose of this data visualization study was to identify patterns in patient‐generated health data (PGHD) of women with and without Circulation…”
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Discovering Public Health Nurse–Specific Family Home Visiting Intervention Patterns Using Visualization Techniques by Monsen, Karen A., Peterson, Jessica J., Mathiason, Michelle A., Kim, Era, Votava, Brian, Pieczkiewicz, David S.

“…Visualization is a Big Data method for detecting and validating previously unknown and hidden patterns within large data sets. This study used visualization…”
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Assessment of Personal Health Care Management and Chronic Disease Prevalence: Comparative Analysis of Demographic, Socioeconomic, and Health-Related Variables by Sandefer, Ryan H, Westra, Bonnie L, Khairat, Saif S, Pieczkiewicz, David S, Speedie, Stuart M

“…The use of personal health care management (PHM) is increasing rapidly within the United States because of implementation of health technology across the…”
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Toward Clinical Adoption of Standardized mHealth Solutions: The Feasibility of Using MyStrengths+MyHealth Consumer-Generated Health Data for Knowledge Discovery by Austin, Robin R., Mathiason, Michelle A., Lu, Sheng-Chieh, Lindquist, Ruth A., McMahon, Siobhan K., Pieczkiewicz, David S., Monsen, Karen A.

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Effects of time constraints on clinician–computer interaction: A study on information synthesis from EHR clinical notes by Farri, Oladimeji, Monsen, Karen A., Pakhomov, Serguei V., Pieczkiewicz, David S., Speedie, Stuart M., Melton, Genevieve B.

“…[Display omitted] •Cognitive pathways of interns’ EHR note synthesis under timed and untimed conditions.•Adjustments of interns’ information consumption based…”
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Data Visualization Techniques to Showcase Nursing Care Quality by MONSEN, KAREN A, PETERSON, JESSICA J, MATHIASON, MICHELLE A, KIM, ERA, LEE, SEONAH, CHI, CHIN-LIN, PIECZKIEWICZ, DAVID S

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Evaluating the decision accuracy and speed of clinical data visualizations by Pieczkiewicz, David S, Finkelstein, Stanley M

“…Clinicians face an increasing volume of biomedical data. Assessing the efficacy of systems that enable accurate and timely clinical decision making merits…”
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Using Publicly Available Data to Characterize Consumers Use of Email to Communicate with Healthcare Providers by Sandefer, Ryan H, Khairat, Saif S, Pieczkiewicz, David S, Speedie, Stuart M

“…The use of patient focused technology has been proclaimed as a means to improve patient satisfaction and improve care outcomes. The Center for…”
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Multi-Task Learning to Identify Outcome-Specific Risk Factors that Distinguish Individual Micro and Macrovascular Complications of Type 2 Diabetes by Kim, Era, Pieczkiewicz, David S, Castro, M Regina, Caraballo, Pedro J, Simon, Gyorgy J

“…Because deterioration in overall metabolic health underlies multiple complications of Type 2 Diabetes Mellitus, a substantial overlap among risk factors for…”
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Divisive Hierarchical Clustering towards Identifying Clinically Significant Pre-Diabetes Subpopulations by Kim, Era, Oh, Wonsuk, Pieczkiewicz, David S, Castro, M Regina, Caraballo, Pedro J, Simon, Gyorgy J

“…Type 2 Diabetes Mellitus is a progressive disease with increased risk of developing serious complications. Identifying subpopulations and their relevant risk…”
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Determinants of Consumer eHealth Information Seeking Behavior by Sandefer, Ryan H, Westra, Bonnie L, Khairat, Saif S, Pieczkiewicz, David S, Speedie, Stuart M

“…Patients are increasingly using the Internet and other technologies to engage in their own healthcare, but little research has focused on the determinants of…”
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Design and evaluation of a web-based interactive visualization system for lung transplant home monitoring data by Pieczkiewicz, David S, Finkelstein, Stanley M, Hertz, Marshall I

“…We describe the implementation and evaluation of an interactive system for displaying patient pulmonary information from a lung transplant home monitoring…”
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Systematic refinement of a health information technology time and motion workflow instrument for inpatient nursing care using a standardized interface terminology by Zhang, Yi, Monsen, Karen A, Adam, Terrence J, Pieczkiewicz, David S, Daman, Megan, Melton, Genevieve B

“…Time and motion (T&M) studies provide an objective method to measure the expenditure of time by clinicians. While some instruments for T&M studies have been…”
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A trend map for e-health information by Plasek, Joseph M, Plasek, Joseph Michael, Pieczkiewicz, David S, Pieczkiewicz, David Sean

“…Health information of varying levels of quality is available and accessed on the web by patients and medical personnel, who base their decisions on the…”
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The role of nonverbal and verbal communication in a multimedia informed consent process by Plasek, Joseph M, Pieczkiewicz, David S, Mahnke, Andrea N, McCarty, Catherine A, Starren, Justin B, Westra, Bonnie L

“…Nonverbal and verbal communication elements enhance and reinforce the consent form in the informed consent process and need to be transferred appropriately to…”
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Improved techniques for quantitatively comparing data visualizations by Pieczkiewicz, David S, Pieczkiewicz, David Sean, Rasmussen, Luke V, Starren, Justin B

“…Visualizations are increasingly important in helping users manage large data streams. As a result, researchers often need to compare the performance of several…”
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Understanding Women's Cardiovascular Health Using MyStrengths MyHealth: A Patient-Generated Data Visualization Study of Strengths, Challenges, and Needs Differences Robin R. Austin, PhD, DNP, DC, RN-BC, FAMIA, FNAP1 , Michelle A. Mathiason by Austin, Robin R, Mathiason, Michelle A, Lindquist, Ruth A, McMahon, Siobhan K, Pieczkiewicz, David S, Monsen, Karen A

“…Purpose: The purpose of this data visualization study was to identify patterns in patient-generated health data (PGHD) of women with and without Circulation…”
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Direction of Type 2 Diabetes Mellitus Progression by Carballo, Pedro J, Kim, Era, Simon, Gyorgy J, Castro, Regina, Pieczkiewicz, David S

“…Background/Aims: Due to the progressive nature of type 2 diabetes mellitus (T2DM), deterioration in a patient’s general health is inevitable. Hence, the…”
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