Correction to: A Scoping Review of Ethics Considerations in Clinical Natural Language Processing.
[This corrects the article DOI: 10.1093/jamiaopen/ooac039.].
Author(s):
DOI: 10.1093/jamiaopen/ooac062
[This corrects the article DOI: 10.1093/jamiaopen/ooac039.].
Author(s):
DOI: 10.1093/jamiaopen/ooac062
The purpose of this study was to conduct a scoping review of publications that explored blockchain technology in the context of interoperability and challenges of electronic health record (EHR) implementations. We synthesize the literature regarding standards and security, specifically regulation, regulatory operability, and conformance to standards. We review open practitioner questions that were not addressed in the studies as directions for further research.
Author(s): Schmeelk, Suzanna, Kanabar, Megha, Peterson, Kevin, Pathak, Jyotishman
DOI: 10.1093/jamiaopen/ooac068
To describe process innovations related to research informed consent documents, and development and formative evaluation of Consent Builder, a platform for generating consent documents for multicenter studies.
Author(s): Sward, Katherine A, Enriquez, Rene, Burr, Jeri, Ozier, Julie, Roebuck, Megan, Elliott, Carrie, Dean, J Michael
DOI: 10.1093/jamiaopen/ooac069
Although the World Health Organization (WHO) Clinical Progression Scale for COVID-19 is useful in prospective clinical trials, it cannot be effectively used with retrospective Electronic Health Record (EHR) datasets. Modifying the existing WHO Clinical Progression Scale, we developed an ordinal severity scale (OS) and assessed its usefulness in the analyses of COVID-19 patient outcomes using retrospective EHR data.
Author(s): Khodaverdi, Maryam, Price, Bradley S, Porterfield, J Zachary, Bunnell, H Timothy, Vest, Michael T, Anzalone, Alfred Jerrod, Harper, Jeremy, Kimble, Wes D, Moradi, Hamidreza, Hendricks, Brian, Santangelo, Susan L, Hodder, Sally L, ,
DOI: 10.1093/jamiaopen/ooac066
As part of ongoing implementation of electronic patient-reported outcome tools at the Dana-Farber Cancer Institute, here we describe the development of the electronic New Patient Intake Questionnaire.
Author(s): McCleary, Nadine J, Haakenstad, Ellana K, Cleveland, Jessica L F, Manni, Michael, Hassett, Michael J, Schrag, Deb
DOI: 10.1093/jamiaopen/ooac064
In order to manage COVID-19 patient population and bed capacity issues, remote patient monitoring (RPM) is a strategy used to transition patients from inpatients to home. We describe our RPM implementation process for post-acute care COVID-19 pneumonia patients. We also evaluate the impact of RPM on patient outcomes, including hospital length of stay (LOS), post-discharge Emergency Department (ED) visits, and hospital readmission.
Author(s): Kuo, Sherwin, Aledia, Anna, O'Connell, Ryan, Rudkin, Scott, Dangodara, Amish A, Amin, Alpesh N
DOI: 10.1093/jamiaopen/ooac060
Seamless data integration between point-of-care medical devices and the electronic health record (EHR) can be central to clinical decision support systems (CDSS).
Author(s): Withall, Jennifer B, Schwartz, Jessica M, Usseglio, John, Cato, Kenrick D
DOI: 10.1055/s-0042-1759513
Our health system launched an initiative to regulate venous thromboembolism (VTE) risk assessment and prophylaxis with electronically embedded risk assessment models based on validated clinical prediction rules. Prior to system-wide implementation, usability testing was conducted on the VTE clinical decision support system (CDSS) to assess provider perceptions, facilitate adoption, and usage of the tool. The objective of this study was to conduct usability testing with end users on the CDSS' [...]
Author(s): Khan, Sundas, King, D'Arcy, Osmani, Soheb, Harte, Owen, Solomon, Jeffrey, Niranjan, Kunti, Rosenberg, David J
DOI: 10.1055/s-0042-1759770
Intensive care unit (ICU) direct care nurses spend 22% of their shift completing tasks within the electronic health record (EHR). Miscommunications and inefficiencies occur, particularly during patient hand-off, placing patient safety at risk. Redesigning how direct care nurses visualize and interact with patient information during hand-off is one opportunity to improve EHR use. A web-based survey was deployed to better understand the information and visualization needs at patient hand-off to [...]
Author(s): Lindroth, Heidi L, Pinevich, Yuliya, Barwise, Amelia K, Fathma, Sawsan, Diedrich, Daniel, Pickering, Brian W, Herasevich, Vitaly
DOI: 10.1055/s-0042-1758735
Data derived from the electronic health record (EHR) are commonly reused for quality improvement, clinical decision-making, and empirical research despite having data quality challenges. Research highlighting EHR data quality concerns has largely been examined and identified during traditional in-person visits. To understand variations in data quality among patients managing type 2 diabetes mellitus (T2DM) with and without a history of telehealth visits, we examined three EHR data quality dimensions: timeliness [...]
Author(s): Wiley, Kevin K, Mendonca, Eneida, Blackburn, Justin, Menachemi, Nir, Groot, Mary De, Vest, Joshua R
DOI: 10.1055/s-0042-1758737