Response to Randell et al. "Using realist reviews to understand how health IT works, for whom, and in what circumstances".
Author(s): Otte-Trojel, Terese, de Bont, Antoinette, Rundall, Thomas G, van de Klundert, Joris
DOI: 10.1093/jamia/ocu008
Author(s): Otte-Trojel, Terese, de Bont, Antoinette, Rundall, Thomas G, van de Klundert, Joris
DOI: 10.1093/jamia/ocu008
We aimed to investigate medical students' attitudes about Clinical Informatics (CI) training and careers.
Author(s): Banerjee, Rahul, George, Paul, Priebe, Cedric, Alper, Eric
DOI: 10.1093/jamia/ocu046
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
Mobile health (mHealth) customers shopping for applications (apps) should be aware of app privacy practices so they can make informed decisions about purchase and use. We sought to assess the availability, scope, and transparency of mHealth app privacy policies on iOS and Android. Over 35,000 mHealth apps are available for iOS and Android. Of the 600 most commonly used apps, only 183 (30.5%) had privacy policies. Average policy length was [...]
Author(s): Sunyaev, Ali, Dehling, Tobias, Taylor, Patrick L, Mandl, Kenneth D
DOI: 10.1136/amiajnl-2013-002605
Identity information is often used to link records within or among information systems in public health and clinical settings. The quality and stability of birth certificate identifiers impacts both the success of linkage efforts and the value of birth certificate registries for identity resolution.
Author(s): Duncan, Jeffrey, Narus, Scott P, Clyde, Stephen, Eilbeck, Karen, Thornton, Sidney, Staes, Catherine
DOI: 10.1136/amiajnl-2014-002774
In the USA, approximately 4% of the estimated 1 million Salmonella infections occurring annually are reported to public health. Administrative claims data from large health insurance companies capture disease-specific data which could potentially enhance public health surveillance. To determine the utility of medical claims data for public health reporting of Salmonella, we assessed medical claims data from BlueCross BlueShield of Tennessee (BCBST) members compared to Tennessee Department of Health (TDH) [...]
Author(s): Marder, Ellyn, Garman, Katie, Jones, Timothy F, Dunn, John, Jones, Stephen
DOI: 10.1136/amiajnl-2014-002909
Significant strides have been made in electronic (e)-prescribing standards and software applications that have further fueled the adoption and use of e-prescribing. However, for e-prescribing to realize its full potential for improving the safety, effectiveness, and efficiency of prescription drug delivery, important work remains to be carried out. This perspective describes the ultimate goal of all e-prescribing stakeholders including prescribers and dispensing pharmacists: a clear, complete, and unambiguous e-prescription order [...]
Author(s): Dhavle, Ajit A, Rupp, Michael T
DOI: 10.1136/amiajnl-2014-002738
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