A message to the next generation of biomedical informatics professionals.
Author(s): Ohno-Machado, Lucila
DOI: 10.1093/jamia/ocw043
Author(s): Ohno-Machado, Lucila
DOI: 10.1093/jamia/ocw043
The American Medical Informatics Association convened the 2014 Health Policy Invitational Meeting to develop recommendations for updates to current policies and to establish an informatics research agenda for personalizing medicine. In particular, the meeting focused on discussing informatics challenges related to personalizing care through the integration of genomic or other high-volume biomolecular data with data from clinical systems to make health care more efficient and effective. This report summarizes the [...]
Author(s): Wiley, Laura K, Tarczy-Hornoch, Peter, Denny, Joshua C, Freimuth, Robert R, Overby, Casey L, Shah, Nigam, Martin, Ross D, Sarkar, Indra Neil
DOI: 10.1093/jamia/ocv111
To test the vulnerabilities of a wide range of computerized physician order entry (CPOE) systems to different types of medication errors, and develop a more comprehensive qualitative understanding of how their design could be improved.
Author(s): Slight, Sarah P, Eguale, Tewodros, Amato, Mary G, Seger, Andrew C, Whitney, Diana L, Bates, David W, Schiff, Gordon D
DOI: 10.1093/jamia/ocv135
The objective of the Strategic Health IT Advanced Research Project area four (SHARPn) was to develop open-source tools that could be used for the normalization of electronic health record (EHR) data for secondary use--specifically, for high throughput phenotyping. We describe the role of Intermountain Healthcare's Clinical Element Models ([CEMs] Intermountain Healthcare Health Services, Inc, Salt Lake City, Utah) as normalization "targets" within the project.
Author(s): Oniki, Thomas A, Zhuo, Ning, Beebe, Calvin E, Liu, Hongfang, Coyle, Joseph F, Parker, Craig G, Solbrig, Harold R, Marchant, Kyle, Kaggal, Vinod C, Chute, Christopher G, Huff, Stanley M
DOI: 10.1093/jamia/ocv134
To develop an open-source temporal relation discovery system for the clinical domain. The system is capable of automatically inferring temporal relations between events and time expressions using a multilayered modeling strategy. It can operate at different levels of granularity--from rough temporality expressed as event relations to the document creation time (DCT) to temporal containment to fine-grained classic Allen-style relations.
Author(s): Lin, Chen, Dligach, Dmitriy, Miller, Timothy A, Bethard, Steven, Savova, Guergana K
DOI: 10.1093/jamia/ocv113
Develop a device-agnostic cloud platform to host diabetes device data and catalyze an ecosystem of software innovation for type 1 diabetes (T1D) management.
Author(s): Neinstein, Aaron, Wong, Jenise, Look, Howard, Arbiter, Brandon, Quirk, Kent, McCanne, Steve, Sun, Yao, Blum, Michael, Adi, Saleh
DOI: 10.1093/jamia/ocv104
To understand the evolving market of commercial off-the-shelf Computerized Physician Order Entry (CPOE) and Computerized Decision Support (CDS) applications and its effects on their uptake and implementation in English hospitals.
Author(s): Mozaffar, Hajar, Williams, Robin, Cresswell, Kathrin, Morrison, Zoe, Bates, David W, Sheikh, Aziz
DOI: 10.1093/jamia/ocv095
Given the clinical and public health benefits of routine Human Immunodeficiency Virus (HIV) testing in the emergency department (ED) and Centers for Disease Control and Prevention recommendations, Maricopa Medical Center, as part of Maricopa Integrated Health System, started Test, Educate, Support, and Treat Arizona (TESTAZ) and became the first and, to-date, only hospital in Arizona to implement routine, non-targeted, opt-out, rapid HIV screening in the ED. The authors describe the [...]
Author(s): McGuire, Robert, Moore, Eric
DOI: 10.1093/jamia/ocv031
To assess whether integrating critical result management software--Alert Notification of Critical Results (ANCR)--with an electronic health record (EHR)-based results management application impacts closed-loop communication and follow-up of nonurgent, clinically significant radiology results by primary care providers (PCPs).
Author(s): O'Connor, Stacy D, Dalal, Anuj K, Sahni, V Anik, Lacson, Ronilda, Khorasani, Ramin
DOI: 10.1093/jamia/ocv105
ClinicalTrials.gov serves critical functions of disseminating trial information to the public and helping the trials recruit participants. This study assessed the readability of trial descriptions at ClinicalTrials.gov using multiple quantitative measures.
Author(s): Wu, Danny T Y, Hanauer, David A, Mei, Qiaozhu, Clark, Patricia M, An, Lawrence C, Proulx, Joshua, Zeng, Qing T, Vydiswaran, V G Vinod, Collins-Thompson, Kevyn, Zheng, Kai
DOI: 10.1093/jamia/ocv062