Author(s): Otte-Trojel, Terese, de Bont, Antoinette, Rundall, Thomas G, van de Klundert, Joris
DOI: 10.1093/jamia/ocu008
Author(s): Hanauer, David A, Zheng, Kai
DOI: 10.1093/jamia/ocu036
Author(s): Randell, Rebecca, Greenhalgh, Joanne, Dowding, Dawn
DOI: 10.1093/jamia/ocu006
Despite effective therapies for many conditions, patients find it difficult to adhere to prescribed treatments. Technology-mediated interventions (TMIs) are increasingly being used with the hope of improving adherence.
Author(s): Mistry, Niraj, Keepanasseril, Arun, Wilczynski, Nancy L, Nieuwlaat, Robby, Ravall, Manthan, Haynes, R Brian, ,
DOI: 10.1093/jamia/ocu047
Clinical decision support systems (CDSSs) assist clinicians with patient diagnosis and treatment. However, inadequate attention has been paid to the process of selecting and buying systems. The diversity of CDSSs, coupled with research obstacles, marketplace limitations, and legal impediments, has thwarted comparative outcome studies and reduced the availability of reliable information and advice for purchasers. We review these limitations and recommend several comparative studies, which were conducted in phases; studies [...]
Author(s): Dhiman, Gaurav Jay, Amber, Kyle T, Goodman, Kenneth W
DOI: 10.1093/jamia/ocu033
Radiology reports are usually narrative, unstructured text, a format which hinders the ability to input report contents into decision support systems. In addition, reports often describe multiple lesions, and it is challenging to automatically extract information on each lesion and its relationships to characteristics, anatomic locations, and other information that describes it. The goal of our work is to develop natural language processing (NLP) methods to recognize each lesion in [...]
Author(s): Bozkurt, Selen, Lipson, Jafi A, Senol, Utku, Rubin, Daniel L
DOI: 10.1136/amiajnl-2014-003009
To improve the accuracy of mining structured and unstructured components of the electronic medical record (EMR) by adding temporal features to automatically identify patients with rheumatoid arthritis (RA) with methotrexate-induced liver transaminase abnormalities.
Author(s): Lin, Chen, Karlson, Elizabeth W, Dligach, Dmitriy, Ramirez, Monica P, Miller, Timothy A, Mo, Huan, Braggs, Natalie S, Cagan, Andrew, Gainer, Vivian, Denny, Joshua C, Savova, Guergana K
DOI: 10.1136/amiajnl-2014-002642
To evaluate the contribution of the MEDication Indication (MEDI) resource and SemRep for identifying treatment relations in clinical text.
Author(s): Bejan, Cosmin Adrian, Wei, Wei-Qi, Denny, Joshua C
DOI: 10.1136/amiajnl-2014-002954
To integrate data elements from multiple sources for informing comprehensive and standardized collection of family health history (FHH).
Author(s): Chen, Elizabeth S, Carter, Elizabeth W, Winden, Tamara J, Sarkar, Indra Neil, Wang, Yan, Melton, Genevieve B
DOI: 10.1136/amiajnl-2014-003092
This research identifies specific care coordination activities used by Aging in Place (AIP) nurse care coordinators and home healthcare (HHC) nurses when coordinating care for older community-dwelling adults and suggests a method to quantify care coordination.
Author(s): Popejoy, Lori L, Khalilia, Mohammed A, Popescu, Mihail, Galambos, Colleen, Lyons, Vanessa, Rantz, Marilyn, Hicks, Lanis, Stetzer, Frank
DOI: 10.1136/amiajnl-2014-002702