Beyond Information Design: Designing Health Care Dashboards for Evidence-Driven Decision-Making.
Author(s): Hysong, Sylvia J, Yang, Christine, Wong, Janine, Knox, Melissa K, O'Mahen, Patrick, Petersen, Laura A
DOI: 10.1055/a-2068-6699
Author(s): Hysong, Sylvia J, Yang, Christine, Wong, Janine, Knox, Melissa K, O'Mahen, Patrick, Petersen, Laura A
DOI: 10.1055/a-2068-6699
Acute care ophthalmic clinics often suffer from inefficient triage, leading to suboptimal patient access and resource utilization. This study reports the preliminary results of a novel, symptom-based, patient-directed, online triage tool developed to address the most common acute ophthalmic diagnoses and associated presenting symptoms.
Author(s): Meer, Elana, Ramakrishnan, Meera S, Whitehead, Gideon, Leri, Damien, Rosin, Roy, VanderBeek, Brian
DOI: 10.1055/a-2065-4613
The 21st Century Cures Act mandates the immediate, electronic release of health information to patients. However, in the case of adolescents, special consideration is required to ensure that confidentiality is maintained. The detection of confidential content in clinical notes may support operational efforts to preserve adolescent confidentiality while implementing information sharing.
Author(s): Rabbani, Naveed, Bedgood, Michael, Brown, Conner, Steinberg, Ethan, Goldstein, Rachel L, Carlson, Jennifer L, Pageler, Natalie, Morse, Keith E
DOI: 10.1055/a-2051-9764
A growing body of literature has linked usability limitations within electronic health records (EHRs) to adverse outcomes which may in turn affect EHR system transitions. NewYork-Presbyterian Hospital, Columbia University College of Physicians and Surgeons (CU), and Weill Cornell Medical College (WC) are a tripartite organization with large academic medical centers that initiated a phased transition of their EHRs to one system, EpicCare.
Author(s): Lefchak, Brian, Bostwick, Susan, Rossetti, Sarah, Shen, Kenneth, Ancker, Jessica, Cato, Kenrick, Abramson, Erika L, Thomas, Charlene, Gerber, Linda, Moy, Amanda, Sharma, Mohit, Elias, Jonathan
DOI: 10.1055/a-2074-1665
Patient cohorts generated by machine learning can be enhanced with clinical knowledge to increase translational value and provide a practical approach to patient segmentation based on a mix of medical, behavioral, and social factors.
Author(s): Hewner, Sharon, Smith, Erica, Sullivan, Suzanne S
DOI: 10.1055/a-2048-7343
Integrating genetic test results into the electronic health record (EHR) is essential for integrating genetic testing into clinical practice. This article describes the organizational challenges of integrating discrete apolipoprotein L1 (APOL1) genetic test results into the EHR for a research study on culturally sensitive genetic counseling for living kidney donors.
Author(s): Rasmussen, Luke V, Agrawal, Akansha H, Botsford, Paul, Powers, Andrew, Schnoebelen, Jeffrey, Xinos, Stavroula, Harper, Gail, Thanner, Jane, McCabe, Sarah, Moore, Stephen, Wicklund, Catherine A, Duquette, Debra, Gordon, Elisa J
DOI: 10.1055/s-0043-1767680
Author(s): Neyarapally, George A, Millikan, Edward D, Manzo, Claudia
DOI: 10.1055/s-0043-1767683
The 21st Century Cures Act information blocking final rule mandated the immediate and electronic release of health care data in 2020. There is anecdotal concern that a significant amount of information is documented in notes that would breach adolescent confidentiality if released electronically to a guardian.
Author(s): Bedgood, Michael, Rabbani, Naveed, Brown, Conner, Goldstein, Rachel, Carlson, Jennifer L, Steinberg, Ethan, Powell, Austin, Pageler, Natalie M, Morse, Keith
DOI: 10.1055/s-0043-1767682
Reuse of health care data for various purposes, such as the care process, for quality measurement, research, and finance, will become increasingly important in the future; therefore, "Collect Once Use Many Times" (COUMT). Clinical information models (CIMs) can be used for content standardization. Data collection for national quality registries (NQRs) often requires manual data entry or batch processing. Preferably, NQRs collect required data by extracting data recorded during the health [...]
Author(s): Schepens, Maike H J, Trompert, Annemarie C, van Hooff, Miranda L, van der Velde, Erik, Kallewaard, Marjon, Verberk-Jonkers, Iris J A M, Cense, Huib A, Somford, Diederik M, Repping, Sjoerd, Tromp, Selma C, Wouters, Michel W J M
DOI: 10.1055/s-0043-1767681
Electronic health records (EHRs) have become widely adopted with increasing emphasis on improving care delivery. Improvements in surgery may be limited by specialty-specific issues that impact EHR usability and engagement. Accordingly, we examined EHR use and perceptions in urology, a diverse surgical specialty.
Author(s): Tan, Hung-Jui, Chung, Arlene E, Gotz, David, Deal, Allison M, Heiling, Hillary M, Teal, Randall, Vu, Maihan B, Meeks, William D, Fang, Raymond, Bennett, Antonia V, Nielsen, Matthew E, Basch, Ethan
DOI: 10.1055/s-0043-1763513