So What? A Tribute to Dr. Reed M. Gardner, PhD, FACMI.
Author(s): Evans, R Scott
DOI: 10.1055/s-0041-1725968
Author(s): Evans, R Scott
DOI: 10.1055/s-0041-1725968
Limited research exists on patient knowledge/cognition or "getting inside patients' heads." Because patients possess unique and privileged knowledge, clinicians need this information to make patient-centered and coordinated treatment planning decisions. To achieve patient-centered care, we characterize patient knowledge and contributions to the clinical information space.
Author(s): Papautsky, Elizabeth Lerner, Patterson, Emily S
DOI: 10.1055/s-0041-1723022
Video recording and video recognition (VR) with computer vision have become widely used in many aspects of modern life. Hospitals have employed VR technology for security purposes, however, despite the growing number of studies showing the feasibility of VR software for physiologic monitoring or detection of patient movement, its use in the intensive care unit (ICU) in real-time is sparse and the perception of this novel technology is unknown. The [...]
Author(s): Glancova, Alzbeta, Do, Quan T, Sanghavi, Devang K, Franco, Pablo Moreno, Gopal, Neethu, Lehman, Lindsey M, Dong, Yue, Pickering, Brian W, Herasevich, Vitaly
DOI: 10.1055/s-0040-1722614
Author(s): Ozeran, Larry, Schreiber, Richard
DOI: 10.1055/s-0041-1722872
Antibiotic prescribing in ambulatory care centers is increasing. Previous research suggests that 20 to 50% of antibiotic prescriptions are either unnecessary or inappropriate. Unnecessary antibiotic consumption can harm patients by increasing antibiotic resistance and drug-associated toxicities, and the reasons for such use are multifactorial. Antimicrobial Stewardship Programs (ASP) were developed to guide better use of antibiotics. A core element of ASP is to provide feedback to clinical providers. To create [...]
Author(s): Ward, Michael J, Chavis, Bryson, Banerjee, Ritu, Katz, Sophie, Anders, Shilo
DOI: 10.1055/s-0040-1718757
Even though clinical trials are indispensable for medical research, they are frequently impaired by delayed or incomplete patient recruitment, resulting in cost overruns or aborted studies. Study protocols based on real-world data with precisely expressed eligibility criteria and realistic cohort estimations are crucial for successful study execution. The increasing availability of routine clinical data in electronic health records (EHRs) provides the opportunity to also support patient recruitment during the prescreening [...]
Author(s): Melzer, Georg, Maiwald, Tim, Prokosch, Hans-Ulrich, Ganslandt, Thomas
DOI: 10.1055/s-0040-1721010
The United States, and especially West Virginia, have a tremendous burden of coronary artery disease (CAD). Undiagnosed familial hypercholesterolemia (FH) is an important factor for CAD in the U.S. Identification of a CAD phenotype is an initial step to find families with FH.
Author(s): Joseph, Amy, Mullett, Charles, Lilly, Christa, Armistead, Matthew, Cox, Harold J, Denney, Michael, Varma, Misha, Rich, David, Adjeroh, Donald A, Doretto, Gianfranco, Neal, William, Pyles, Lee A
DOI: 10.1055/s-0040-1721012
OpenNotes, the sharing of medical notes via a patient portal, has been extensively studied in adults but not in pediatric populations. This has been a contributing factor in the slower adoption of OpenNotes by children's hospitals. The 21st Century Cures Act Final Rule has mandated the sharing of clinical notes electronically to all patients and as health systems prepare to comply, some concerns remain particularly with OpenNotes for pediatric populations.
Author(s): Sarabu, Chethan, Lee, Tzielan, Hogan, Adam, Pageler, Natalie
DOI: 10.1055/s-0040-1721781
The sequence of intravenous infusions may impact the efficacy, safety, and cost of intravenous medications. The study describes and assesses a computerized clinical decision support annotation system capable of analyzing the sequence of intravenous infusions.
Author(s): Qiu, Ji, Deng, Tingting, Wang, Zhuo, Yang, Zhangwei, Liu, Ting, Liu, Yunjie, Li, Rui, Dai, Fu
DOI: 10.1055/s-0041-1722871
The identification of patient cohorts for recruiting patients into clinical trials requires an evaluation of study-specific inclusion and exclusion criteria. These criteria are specified depending on corresponding clinical facts. Some of these facts may not be present in the clinical source systems and need to be calculated either in advance or at cohort query runtime (so-called feasibility query).
Author(s): Maier, Christian, Kapsner, Lorenz A, Mate, Sebastian, Prokosch, Hans-Ulrich, Kraus, Stefan
DOI: 10.1055/s-0040-1721481