Health IT

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

Spoken Words as Biomarkers: Using Machine Learning to Gain Insight into Communication as a Predictor of Anxiety

May. 6, 2020

George Demiris, Kristin L. Corey Magan, Debra Parker Oliver, Karla T. Washington, Chad Chadwick, Jeffrey D. Voigt, Sam Brotherton, Mary D. Naylor

Abstract [from journal]

Objective: The goal of this study was to explore whether features of recorded and transcribed audio communication data extracted by machine learning algorithms can be used to train a classifier for anxiety.

Materials and Methods: We used a secondary data set generated by a clinical trial examining problem-solving therapy for hospice caregivers consisting of 140 transcripts of multiple, sequential conversations between an interviewer and a family caregiver along with standardized assessments of anxiety prior to


Remote Monitoring of Medication Adherence and Patient and Industry Responsibilities in a Learning Health System

May. 4, 2020

Junhewk Kim, Austin Connor Kassels, Nathaniel Isaac Costin, Harald Schmidt

Abstract [from journal]

A learning health system (LHS) seeks to establish a closer connection between clinical care and research and establishes new responsibilities for healthcare providers as well as patients. A new set of technological approaches in medication adherence monitoring can potentially yield valuable data within an LHS, and raises the question of the scope and limitations of patients' responsibilities to use them. We argue here that, in principle, it is plausible to suggest that patients have a prima facie obligation to use novel adherence monitors. However,


A Pragmatic Randomized Trial of Cardiopulmonary Resuscitation Training for Families of Cardiac Patients Before Hospital Discharge Using a Mobile Application

May. 3, 2020

Audrey L. Blewera, Mary E. Putt, Shaun K. McGovern, Andrew D. Murray, Marion Leary, Barbara Riegel, Judy A. Shea, Robert A. Berg, David A. Asch, Anthony J. Viera, Raina M. Merchant, Vinay M. Nadkarni, Benjamin S...

Abstract [from journal]

Aim of the Study: Since over 80% of sudden cardiac arrests occur in the home, cardiopulmonary resuscitation (CPR) training for family members of high-risk cardiac patients represents a promising intervention. The use of mobile application-based (mApp) CPR training may facilitate this approach, but evidence regarding its efficacy is lacking.

Methods: We conducted a multicenter, pragmatic, cluster-randomized trial assessing CPR training for family members of cardiac patients. The interventions were mApp (video,


The Influence of Peer Beliefs on Nurses' Use of New Health Information Technology: A Social Network Analysis

Ingrid Nembhard, PhD
Apr. 22, 2020

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

Abstract [from journal]

Implementation of health information technology fails at an alarming rate because intended users often choose not to use it. Implementation theory and frameworks suggest that social networks may influence individuals' use, but empirical study remains limited. Furthermore, neither theory nor research has identified whose beliefs within the network matter most for implementation. We examine the relationship between an individual's system use and the beliefs of his or her peers. We assess the relationship for two peer groups: the entire group of peers


Enabling Pregnant Women and their Physicians to make Informed Medication Decisions Using Artificial Intelligence

Mary Regina Boland
Apr. 11, 2020

Lena Davidson, Mary Regina Boland

Abstract [from journal]

The role of artificial intelligence (AI) in healthcare for pregnant women. To assess the role of AI in women's health, discover gaps, and discuss the future of AI in maternal health. A systematic review of English articles using EMBASE, PubMed, and SCOPUS. Search terms included pregnancy and AI. Research articles and book chapters were included, while conference papers, editorials and notes were excluded from the review. Included papers focused on pregnancy and AI methods, and pertained to pharmacologic interventions. We identified 376 distinct


Telemedicine in Liver Disease and Beyond: Can the COVID-19 Crisis Lead to Action?

Roy Rosin, Chief Innovation Officer, Penn Medicine
Apr. 10, 2020

Marina Serper, Allen W. Cubell, Mary Elisabeth Deleener, Tara K. Casher, Dale J. Rosenberg, Dale Whitebloom, Roy M. Rosin

Abstract [from journal]

Evidence strongly supports that access to specialty gastroenterology or hepatology care in cirrhosis is associated with higher adherence to guideline-recommended care and improves clinical outcomes. Presently, only about one half of acute care hospitalizations for cirrhosis-related complications result in inpatient specialty care and the current hepatology workforce cannot meet the demand of patients with liver disease nationwide, particularly in less densely populated areas and in community-based practices not affiliated with academic centers.