From Commercialization to Accountability: Responsible Health Data Collection, Use, and Disclosure for the 21st Century.
Author(s): McGraw, Deven, Petersen, Carolyn
DOI: 10.1055/s-0040-1710392
Author(s): McGraw, Deven, Petersen, Carolyn
DOI: 10.1055/s-0040-1710392
The electronic health record (EHR) has historically been known to be a source of stress and dissatisfaction, leading to reduced efficiency and productivity for providers. This issue is complicated by constant changes in EHRs that are necessary to keep systems current with evolving functionality. Knowing the existence of this problem, an evidenced-based solution, known as an efficiency workshop, was developed by our information technology training and optimization team for providers [...]
Author(s): Scott, Kara, Hathaway, Elizabeth, Sharp, Karen, Smailes, Paula
DOI: 10.1055/s-0040-1709509
Making genomic data available at the point-of-care and for research is critical for the success of the Precision Medicine Initiative (PMI), a research initiative which seeks to change health care by "tak(ing) into account individual differences in people's genes, environments, and lifestyles." The Office of the National Coordinator for Health Information Technology (ONC) led Sync for Genes, a program to develop standards that make genomic data available when and where [...]
Author(s): Garcia, Stephanie J, Zayas-Cabán, Teresa, Freimuth, Robert R
DOI: 10.1055/s-0040-1708051
Failure to complete recommended diagnostic tests may increase the risk of diagnostic errors.
Author(s): Weingart, Saul N, Yaghi, Omar, Barnhart, Liz, Kher, Sucharita, Mazzullo, John, Roberts, Kari, Lominac, Eric, Gittelson, Nancy, Argyris, Philip, Harvey, William
DOI: 10.1055/s-0040-1708530
Due to reimbursement tied in part to patients' perception of their care, hospitals continue to stress obtaining patient feedback and understanding it to plan interventions to improve patients' experience. We demonstrate the use of natural language processing (NLP) to extract meaningful information from patient feedback obtained through Press Ganey surveys.
Author(s): Nawab, Khalid, Ramsey, Gretchen, Schreiber, Richard
DOI: 10.1055/s-0040-1708049
Physicians may spend a significant amount of time using the electronic health record (EHR), but this is understudied in the pediatric intensive care unit (PICU). The objective of this study is to quantify PICU attending physician EHR usage and determine its association with patient census and mortality scores.
Author(s): Krawiec, Conrad, Stetter, Christy, Kong, Lan, Haidet, Paul
DOI: 10.1055/s-0040-1705108
Understanding patients' acceptance of and satisfaction with telehealth use is important for workplace health promotion. In this study, we used a questionnaire to measure patients' usage behavior and satisfaction with cloud-based telehealth services in the workplace. We empirically investigated the factors that influence patients' usage and satisfaction based on data collected from 101 participants.
Author(s): Su, Yung-Yu, Huang, Su-Tsai, Wu, Ying-Hsun, Chen, Chun-Min
DOI: 10.1055/s-0040-1708838
With the consequences of inadequate dosing ranging from increased bleeding risk to excessive drug costs and undesirable administration regimens, the antihemophilic factors are uniquely suited to dose individualization. However, existing options for individualization are limited and exist outside the flow of care. We developed clinical decision support (CDS) software that is integrated with our electronic health record (EHR) and designed to streamline the process for our hematology providers.
Author(s): Abdel-Rahman, Susan M, Gill, Harpreet, Carpenter, Shannon L, Gueye, Pathe, Wicklund, Brian, Breitkreutz, Matt, Ghosh, Arindam, Kollu, Avinash
DOI: 10.1055/s-0040-1708050
Newborns are often assigned temporary names at birth. Temporary newborn names-often a combination of the mother's last name and the newborn's gender-are vulnerable to patient misidentification due to similarities with other newborns or between a mother and her newborn. We developed and implemented an alternative distinct naming strategy, and then compared its effectiveness on reducing the number of wrong-patient orders with the standard distinct naming strategy.
Author(s): Pfeifer, Ethan, Lozovatsky, Margaret, Abraham, Joanna, Kannampallil, Thomas
DOI: 10.1055/s-0040-1705175
Sepsis is an uncontrolled inflammatory reaction caused by infection. Clinicians in the pediatric intensive care unit (PICU) developed a paper-based tool to identify patients at risk of sepsis. To improve the utilization of the tool, the PICU team integrated the paper-based tool as a real-time clinical decision support (CDS) intervention in the electronic health record (EHR).
Author(s): Dewan, Maya, Vidrine, Rhea, Zackoff, Matthew, Paff, Zachary, Seger, Brandy, Pfeiffer, Stephen, Hagedorn, Philip, Stalets, Erika L
DOI: 10.1055/s-0040-1705107