COVID-19 Boosts Deployment of Technology-Enabled Remote Health Care Delivery Systems
Modeling the Deaths vs. Jobs Tradeoffs of COVID Lockdown Policy Options
Spoken Words as Biomarkers: Using Machine Learning to Gain Insight into Communication as a Predictor of Anxiety
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
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
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. Abella
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,
...Inside the Pandemic's Most Deadly Targets: Nursing Homes
The Influence of Peer Beliefs on Nurses' Use of New Health Information Technology: A Social Network Analysis
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
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?
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.
...How Penn Medicine Developed a Model for COVID-19 Hospital Planning
This week, the Annals of Internal Medicine published a summary of Penn’s development of an interactive, Web-based tool to inform our hospital planning at the early stages of this pandemic.
Tele-Critical Care: An Update From the Society of Critical Care Medicine Tele-ICU Committee
Sanjay Subramanian, Jeremy C. Pamplin, Marilyn Hravnak, Christina Hielsberg, Richard Riker, Fred Ricon, Krzysztof Laudanski, Lana A. Adzhigirey, Anas M. Moughrabieh, Fiona A. Winterbottom, Vitaly Herasevich
Abstract [from journal]
Objectives: In 2014, the Tele-ICU Committee of the Society of Critical Care Medicine published an article regarding the state of ICU telemedicine, one better defined today as tele-critical care. Given the rapid evolution in the field, the authors now provide an updated review.
Data Sources and Study Selection: We searched PubMed and OVID for peer-reviewed literature published between 2010 and 2018 related to significant developments in tele-critical care, including its prevalence, function, activity, and
...Use of an Online Crowdsourcing Platform to Assess Patient Comprehension of Radiology Reports and Colloquialisms
Joshua K. Cho, Hanna M. Zafar, Tessa S. Cook
Abstract [from journal]
Objective: The purpose of this study was to use an online crowdsourcing platform to assess patient comprehension of five radiology reporting templates and radiology colloquialisms.
Materials and Methods: In this cross-sectional study, participants were surveyed as patient surrogates using a crowdsourcing platform. Two tasks were completed within two 48-hour time periods. For the first crowdsourcing task, each participant was randomly assigned a set of radiology reports in a constructed reporting template and
...Access to Internet, Smartphone Usage, and Acceptability of Mobile Health Technology Among Cancer Patients
Rashmika Potdar, Arun Thomas, Matthew DiMeglio, Kamran Mohiuddin, Djeneba Audrey Djibo, Krzysztof Laudanski, Claudia M. Dourado, John Charles Leighton, Jean G. Ford
Abstract [from journal]
Purpose: The use of mobile health (mHealth) technologies to augment patient care enables providers to communicate remotely with patients enhancing the quality of care and patient engagement. Few studies evaluated predictive factors of its acceptance and subsequent implementation, especially in medically underserved populations.
Methods: A cross-sectional study of 151 cancer patients was conducted at an academic medical center in the USA. A trained interviewer performed structured interviews regarding the
...Association Between Mobile Telephone Interruptions and Medication Administration Errors in a Pediatric Intensive Care Unit
Christopher P. Bonafide, Jeffrey M. Miller, A. Russell Localio, Amina Khan, Adam C. Dziorny, Mark Mai, MD, Shannon Stemler, Wanxin Chen, John H. Holmes, Vinay M. Nadkarni, Ron Keren
Abstract [from journal]
Objective: To assess whether a temporal association exists between mobile telephone interruptions and subsequent errors by pediatric intensive care unit (PICU) nurses during medication administration.
Design, Setting, and Participants: A retrospective cohort study was...