Health IT

Advances in information technology, including electronic health records, that improve on the way that health care is delivered and coordinated.

Association of an Active Choice Intervention in the Electronic Health Record Directed to Medical Assistants With Clinician Ordering and Patient Completion of Breast and Colorectal Cancer Screening Tests

Nov. 15, 2019

Esther Y. Hsiang, Shivan J. Mehta, Dylan S. Small, Charles A. L. Rareshide, Christopher K. Snider, Susan C. Day, Mitesh S. Patel

Abstract [from journal]

Importance: Early cancer detection can lead to improved outcomes, but cancer screening tests are often underused.

Objective: To evaluate the association of an active choice intervention in the electronic health record directed to medical assistants with changes in clinician ordering and patient completion of breast and colorectal cancer screening tests.

Design, Setting, and Participants: A retrospective quality improvement study was conducted among 69 916 patients eligible for breast or

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Neighborhood Physical Disorder and Adverse Pregnancy Outcomes Among Women in Chicago: A Cross-Sectional Analysis of Electronic Health Record Data

Nov. 14, 2019

Stephanie L. Mayne, Bernard F. Pellissier, Kiarri N. Kershaw

Abstract [from journal]

Adverse pregnancy outcomes increase infants' risk for mortality and future health problems. Neighborhood physical disorder may contribute to adverse pregnancy outcomes by increasing maternal chronic stress. Google Street View technology presents a novel method for assessing neighborhood physical disorder but has not been previously examined in the context of birth outcomes. In this cross-sectional study, trained raters used Google's Street View imagery to virtually audit a randomly sampled block within each Chicago census tract (n = 809) for nine

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Can Machine Learning Improve Cancer Care?

Oct. 25, 2019

“How long do I have?”

It is the first question many patients ask after a cancer diagnosis. It is also among the hardest to answer. For decades, predicting cancer survival was more art than science. But now, unprecedented computing power and access to digital health information offer a tantalizing opportunity: can machine learning (ML) algorithms succeed where others fail?

Patient Portal Usage and Outcomes Among Adult Patients with Uncontrolled Asthma

Andrea Apter, MD, MA, MSc
Oct. 23, 2019

Andrea J. Apter, Tyra Bryant-Stephens, Luzmercy Perez, Knashawn H. Morales, John T. Howell, Alyssa N. Mullen, Xiaoyan Han, Maryori Canales, Marisa Rogers, Heather Klusaritz, A. Russell Localio 

ABSTRACT [from journal]

Background: Patient-clinician communication, essential for favorable asthma outcomes, increasingly relies on information technology including the electronic heath record-based patient portal. For patients with chronic disease living in low-income neighborhoods, the benefits of portal communication remain unclear.

Objective: To describe portal activities and association with 12-month outcomes among low-income asthma patients formally trained in portal use.

Methods: In a...

Variation in the Utilization of Robotic Surgical Operations

Sep. 27, 2019

Jennifer H. Fieber, Lindsay E. Kuo, Chris Wirtalla, Rachel R. Kelz

Abstract [from journal]

The appropriate use of the robot in surgery continues to evolve. Robotic operations (RO) are particularly advantageous for deep pelvic and retroperitoneal procedures, but the implementation of RO is unknown. We aimed to examine regional variation for the most commonly performed RO in general, gynecologic, and urologic surgery. A three-state inpatient database from 2008 to 2011 was used. Nine common robotic inpatient general, gynecologic and urologic surgery procedures were analyzed. States were divided into hospital service areas (HSAs). The percentage of...

Capturing Real-Time Emergency Department Sentiment: A Feasibility Study Using Touch-Button Terminals

Aug. 29, 2019

Anish K. Agarwal, Lauren Hahn, Arthur Pelullo, Roy Rosin, Raina M. Merchant

Abstract [from journal]

Study Objective: Providing care in emergency departments (EDs) affects patients and providers. Providers experience high rates of work-related stress. Little is known about the feasibility of measuring real-time sentiment within busy clinical environments. We test the feasibility of measuring sentiment with touch-button terminals in an academic, urban ED.

Methods: Terminals offered a choice of 4 sentiment buttons (very positive, positive, negative, and very negative). They were placed central to physician

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Physicians' Gender and Their Use of Electronic Health Records: Findings from a Mixed-Methods Usability Study

Ross Koppel, PhD
Aug. 28, 2019

Saif Khairat, Cameron Coleman, Paige Ottmar, Thomas Bice, Ross Koppel, Shannon S Carson

Abstract [from journal]

Objective: Physician burnout associated with EHRs is a major concern in health care. A comprehensive assessment of differences among physicians in the areas of EHR performance, efficiency, and satisfaction has not been conducted. The study sought to study relationships among physicians' performance, efficiency, perceived workload, satisfaction, and usability in using the electronic health record (EHR) with comparisons by age, gender, professional role, and years of experience with the EHR.

Materials and Methods

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Usability Across Health Information Technology Systems: Searching for Commonalities and Consistency

Ross Koppel, PhD
Aug. 21, 2019

Ross Koppel, Craig Kuziemsky

Abstract [from journal] 

Usability of health information technology (HIT) remains a predominant concern - one often exacerbated by clinicians' need to access information created by many different professionals in different settings, often using very dissimilar EHRs or even different configurations of the same EHR. Because of these variations, we argue that we must no longer think of usability as anchored in one setting, one EHR, one data standard, or one type of clinician. Rather, usability must be understood as a collective and constantly evolving process. This paper seeks

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Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science Methods

Aug. 21, 2019

Abeed Sarker, Graciela Gonzalez-Hernandez, Jeanmarie Perrone

Abstract [from journal]

Social media may serve as an important platform for the monitoring of population-level opioid abuse in near real-time. Our objectives for this study were to (i) manually characterize a sample of opioid-mentioning Twitter posts, (ii) compare the rates of abuse/misuse related posts between prescription and illicit opiods, and (iii) to implement and evaluate the performances ofsupervised machine learning algorithms for the characterization of opioid-related chatter, which can potentially automate social media based monitoring in the future.. We annotated

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The Role of Social Influence and Network Churn in Beliefs About Electronic Medical Record Technology

Ingrid Nembhard, PhD, The Wharton School
Aug. 1, 2019

Christina T. Yuan, Gerald C. Kane, Jason M. Fletcher, Ingrid M. Nembhard 

Abstract [from journal]

The successful implementation of technology often hinges on individual beliefs about the innovation being introduced. Little is known about how social networks shape these beliefs. In this study, we examine: (1) whether individual beliefs about technology are influenced by the beliefs of their peers within their social networks (network content); and (2) whether changes in the composition of the social network over time (network churn) moderates the effect of peer beliefs on individual beliefs. We offer and test hypotheses about these relationships using...

Difference Between Users and Nonusers of a Patient Portal in Health Behaviors and Outcomes: Retrospective Cohort Study

Jul. 10, 2019

Jing Huang, Yong Chen, J. Richard Landis, Kevin B. Mahoney

Abstract [from journal]

Background: Patient portals are frequently used in modern health care systems as an engagement and communication tool. An increased focus on the potential value of these communication channels to improve health outcomes is warranted.

Objective: This paper aimed to quantify the impact of portal use on patients’ preventive health behavior and chronic health outcomes.

Methods: We conducted a retrospective, observational cohort study of 10,000 patients aged 50 years...

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