Electronic health records-driven phenotyping: challenges, recent advances, and perspectives.
Author(s): Pathak, Jyotishman, Kho, Abel N, Denny, Joshua C
DOI: 10.1136/amiajnl-2013-002428
Author(s): Pathak, Jyotishman, Kho, Abel N, Denny, Joshua C
DOI: 10.1136/amiajnl-2013-002428
Author(s): Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2013-002434
To develop scalable informatics infrastructure for normalization of both structured and unstructured electronic health record (EHR) data into a unified, concept-based model for high-throughput phenotype extraction.
Author(s): Pathak, Jyotishman, Bailey, Kent R, Beebe, Calvin E, Bethard, Steven, Carrell, David C, Chen, Pei J, Dligach, Dmitriy, Endle, Cory M, Hart, Lacey A, Haug, Peter J, Huff, Stanley M, Kaggal, Vinod C, Li, Dingcheng, Liu, Hongfang, Marchant, Kyle, Masanz, James, Miller, Timothy, Oniki, Thomas A, Palmer, Martha, Peterson, Kevin J, Rea, Susan, Savova, Guergana K, Stancl, Craig R, Sohn, Sunghwan, Solbrig, Harold R, Suesse, Dale B, Tao, Cui, Taylor, David P, Westberg, Les, Wu, Stephen, Zhuo, Ning, Chute, Christopher G
DOI: 10.1136/amiajnl-2013-001939
Extracting comorbidity information is crucial for phenotypic studies because of the confounding effect of comorbidities. We developed an automated method that accurately determines comorbidities from electronic medical records. Using a modified version of the Charlson comorbidity index (CCI), two physicians created a reference standard of comorbidities by manual review of 100 admission notes. We processed the notes using the MedLEE natural language processing system, and wrote queries to extract comorbidities [...]
Author(s): Salmasian, Hojjat, Freedberg, Daniel E, Friedman, Carol
DOI: 10.1136/amiajnl-2013-001889
Author(s): Friedman, Charles P
DOI: 10.1136/amiajnl-2013-002120
The rapid change in healthcare has focused attention on the necessary development of a next-generation electronic health record (EHR) to support system transformation and more effective patient-centered care. The Department of Veterans Affairs (VA) is developing plans for the next-generation EHR to support improved care delivery for veterans. To understand the needs for a next-generation EHR, we interviewed 14 VA operational, clinical and informatics leaders for their vision about system [...]
Author(s): Saleem, Jason J, Flanagan, Mindy E, Wilck, Nancy R, Demetriades, Jim, Doebbeling, Bradley N
DOI: 10.1136/amiajnl-2013-001748
To evaluate the impact of the electronic decision support (eDS) tool 'PReOPerative evaluation' (PROP) on guideline adherence in preoperative assessment in statutory health care in Salzburg, Austria.
Author(s): Flamm, Maria, Fritsch, Gerhard, Hysek, Martin, Klausner, Sabine, Entacher, Karl, Panisch, Sigrid, Soennichsen, Andreas C
DOI: 10.1136/amiajnl-2012-001178
As healthcare systems continue to expand and interconnect with each other through patient sharing, administrators, policy makers, infection control specialists, and other decision makers may have to take account of the entire healthcare 'ecosystem' in infection control.
Author(s): Lee, Bruce Y, Wong, Kim F, Bartsch, Sarah M, Yilmaz, S Levent, Avery, Taliser R, Brown, Shawn T, Song, Yeohan, Singh, Ashima, Kim, Diane S, Huang, Susan S
DOI: 10.1136/amiajnl-2012-001107
Effective design of health information technology (HIT) for patient-centered care requires consideration of workflow from the patient's perspective, termed 'patient-oriented workflow.' This approach organizes the building blocks of work around the patients who are moving through the care system. Patient-oriented workflow complements the more familiar clinician-oriented workflow approaches, and offers several advantages, including the ability to capture simultaneous, cooperative work, which is essential in care delivery. Patient-oriented workflow models can [...]
Author(s): Ozkaynak, Mustafa, Brennan, Patricia Flatley, Hanauer, David A, Johnson, Sharon, Aarts, Jos, Zheng, Kai, Haque, Saira N
DOI: 10.1136/amiajnl-2013-001633
Emergency department (ED) electronic tracking boards provide a snapshot view of patient status and a quick link to other clinical applications, such as a web-based image viewer client to view current and previous radiology images from the picture archiving and communication systems (PACS). We describe a case where an update to Microsoft Internet Explorer severed the link between the ED tracking board and web-based image viewer. The loss of this [...]
Author(s): Landman, Adam B, Takhar, Sukhjit S, Wang, Samuel L, Cardoso, Anabela, Kosowsky, Joshua M, Raja, Ali S, Khorasani, Ramin, Poon, Eric G
DOI: 10.1136/amiajnl-2012-001494