Quality Informatics: The Convergence of Healthcare Data, Analytics, and Clinical Excellence.
Author(s): Coppersmith, Nathan A, Sarkar, Indra Neil, Chen, Elizabeth S
DOI: 10.1055/s-0039-1685221
Author(s): Coppersmith, Nathan A, Sarkar, Indra Neil, Chen, Elizabeth S
DOI: 10.1055/s-0039-1685221
The implementation of an electronic health record (EHR) with structured and standardized recording of patient data can improve data quality and reusability. Whether and how users perceive these advantages may depend on the preimplementation situation.
Author(s): Joukes, Erik, de Keizer, Nicolette F, de Bruijne, Martine C, Abu-Hanna, Ameen, Cornet, Ronald
DOI: 10.1055/s-0039-1681054
CancelRx allows prescribers to send electronic cancellation messages to pharmacies when medications are discontinued. Little is known about its functionality and impact on clinical workflows.
Author(s): Pitts, Samantha I, Barasch, Noah, Maslen, Andrew T, Thomas, Bridgette A, Dorissaint, Leonard P, Decker, Krista G, Kazi, Sadaf, Yang, Yushi, Chen, Allen R
DOI: 10.1055/s-0039-1688698
Inpatient providers are increasingly utilizing alternative communication modalities outside what has traditionally been used, including short messaging service text messaging and application-based chat tools. Text messaging that meets the recommendations of the Joint Commission ("secure text messaging") allows for the communication of sensitive patient information through an encrypted platform.
Author(s): Tsega, Surafel, Kalra, Angeli, Sevilla, Cesar T, Cho, Hyung J
DOI: 10.1055/s-0039-1688554
Thirty-day hospital readmissions are a quality metric for health care systems. Predictive models aim to identify patients likely to readmit to more effectively target preventive strategies. Many risk of readmission models have been developed on retrospective data, but prospective validation of readmission models is rare. To the best of our knowledge, none of these developed models have been evaluated or prospectively validated in a military hospital.
Author(s): Eckert, Carly, Nieves-Robbins, Neris, Spieker, Elena, Louwers, Tom, Hazel, David, Marquardt, James, Solveson, Keith, Zahid, Anam, Ahmad, Muhammad, Barnhill, Richard, McKelvey, T Greg, Marshall, Robert, Shry, Eric, Teredesai, Ankur
DOI: 10.1055/s-0039-1688553
Integration of electronic health records (EHRs) data across sites and access to that data remain limited.
Author(s): Hornik, Christoph P, Atz, Andrew M, Bendel, Catherine, Chan, Francis, Downes, Kevin, Grundmeier, Robert, Fogel, Ben, Gipson, Debbie, Laughon, Matthew, Miller, Michael, Smith, Michael, Livingston, Chad, Kluchar, Cindy, Heath, Anne, Jarrett, Chanda, McKerlie, Brian, Patel, Hetalkumar, Hunter, Christina, ,
DOI: 10.1055/s-0039-1688477
The purpose of this article is to describe neonatal intensive care unit clinician perceptions of a continuous predictive analytics technology and how those perceptions influenced clinician adoption. Adopting and integrating new technology into care is notoriously slow and difficult; realizing expected gains remain a challenge.
Author(s): Kitzmiller, Rebecca R, Vaughan, Ashley, Skeeles-Worley, Angela, Keim-Malpass, Jessica, Yap, Tracey L, Lindberg, Curt, Kennerly, Susan, Mitchell, Claire, Tai, Robert, Sullivan, Brynne A, Anderson, Ruth, Moorman, Joseph R
DOI: 10.1055/s-0039-1688478
Digital voice assistant technology provides unique opportunities to enhance clinical practice. We aimed to understand factors influencing pediatric providers' current and potential use of this technology in clinical practice.
Author(s): Wilder, Jayme L, Nadar, Devin, Gujral, Nitin, Ortiz, Benjamin, Stevens, Robert, Holder-Niles, Faye, Lee, John, Gaffin, Jonathan M
DOI: 10.1055/s-0039-1687863
Author(s): Patrick, Jon
DOI: 10.1055/s-0039-1685220
In a time-constrained clinical environment, physicians cannot feasibly document all aspects of an office visit in the electronic health record (EHR). This is especially true for patients with multiple chronic conditions requiring complex clinical reasoning. It is unclear how physicians prioritize the documentation of health information in the EHR.
Author(s): Prater, Laura, Sanchez, Anthony, Modan, Gabriella, Burgess, Jennifer, Frier, Kim, Richards, Nathan, Bose-Brill, Seuli
DOI: 10.1055/s-0039-1683986