Health IT

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

These Key Telehealth Policy Changes Would Improve Buprenorphine Access While Advancing Health Equity

Sep. 17, 2020

[Original post: Utsha Khatri, Corey S. Davis, Noa Krawczyk, Michael Lynch, Justin Berk, Elizabeth A. Samuels, These Key Telehealth Policy Changes Would Improve Buprenorphine Access While Advancing Health Equity, Health Affairs Blog, September 11, 2020. https://www.healthaffairs.org/do/10.1377/hblog20200910.498716/full/. Copyright ©2020 Health Affairs by Project HOPE – The People-to-People Health Foundation, Inc.]

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

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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,

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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,

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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

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