President's column: two important decisions, one clear direction..
Author(s): Fickenscher, Kevin M
DOI: 10.1136/amiajnl-2012-001225
Author(s): Fickenscher, Kevin M
DOI: 10.1136/amiajnl-2012-001225
The Department of Veterans Affairs (VA) operates one of the largest nationwide healthcare systems and is increasing use of internet technology, including development of an online personal health record system called My HealtheVet. This study examined internet use among veterans in general and particularly use of online health information among VA patients and specifically mental health service users.
Author(s): Tsai, Jack, Rosenheck, Robert A
DOI: 10.1136/amiajnl-2012-000971
Accurate and informed prescribing is essential to ensure the safe and effective use of medications in pediatric patients. Computerized clinical decision support (CCDS) functionalities have been embedded into computerized physician order entry systems with the aim of ensuring accurate and informed medication prescribing. Owing to a lack of comprehensive analysis of the existing literature, this review was undertaken to analyze the effect of CCDS implementation on medication prescribing and use [...]
Author(s): Stultz, Jeremy S, Nahata, Milap C
DOI: 10.1136/amiajnl-2011-000798
Health records are essential for good health care. Their quality depends on accurate and prompt documentation of the care provided and regular analysis of content. This study assessed the quantitative properties of inpatient health records at the Federal Medical Centre, Bida, Nigeria.
Author(s): Adeleke, Ibrahim Taiwo, Adekanye, Adedeji Olugbenga, Onawola, Kayode Abiodun, Okuku, Alaba George, Adefemi, Samuel Adebowale, Erinle, Sunday Adesubomi, Shehu, AbdurRahman Alhaji, Yahaya, Olubunmi Edith, Adebisi, AbdulLateef Adisa, James, John Adeniran, AbdulGhaney, Oloundare Olanrewaju, Ogundiran, Lateef Mosebolatan, Jibril, Abdullahi Daniyan, Atakere, Moses Esimy, Achinbee, Moses, Abodunrin, Oluwaseun Ayoade, Hassan, Muhammad Wasagi
DOI: 10.1136/amiajnl-2012-000823
To develop a system to extract follow-up information from radiology reports. The method may be used as a component in a system which automatically generates follow-up information in a timely fashion.
Author(s): Xu, Yan, Tsujii, Junichi, Chang, Eric I-Chao
DOI: 10.1136/amiajnl-2012-000812
To demonstrate the potential of de-identified clinical data from multiple healthcare systems using different electronic health records (EHR) to be efficiently used for very large retrospective cohort studies.
Author(s): Kaelber, David C, Foster, Wendy, Gilder, Jason, Love, Thomas E, Jain, Anil K
DOI: 10.1136/amiajnl-2011-000782
Adoption studies of social media use by clinicians were systematically reviewed, up to July 26th, 2011, to determine the extent of adoption and highlight trends in institutional responses. This search led to 370 articles, of which 50 were selected for review, including 15 adoption surveys. The definition of social media is evolving rapidly; the authors define it broadly to include social networks and group-curated reference sites such as Wikipedia. Facebook [...]
Author(s): von Muhlen, Marcio, Ohno-Machado, Lucila
DOI: 10.1136/amiajnl-2012-000990
Applying multiprofessional electronic health records (EHRs) is expected to improve the quality of patient care and patient safety. Both EHR systems and system users depend on semantic interoperability to function efficiently. A shared clinical terminology comprising unambiguous terms is required for semantic interoperability. Empirical studies of clinical terminology, such as predefined headings, in EHR systems are scarce and limited to one profession or one clinical specialty.
Author(s): Terner, Annika, Lindstedt, Helena, Sonnander, Karin
DOI: 10.1136/amiajnl-2012-000855
Meaningful exchange of information is a fundamental challenge in collaborative biomedical research. To help address this, the authors developed the Life Sciences Domain Analysis Model (LS DAM), an information model that provides a framework for communication among domain experts and technical teams developing information systems to support biomedical research. The LS DAM is harmonized with the Biomedical Research Integrated Domain Group (BRIDG) model of protocol-driven clinical research. Together, these models [...]
Author(s): Freimuth, Robert R, Freund, Elaine T, Schick, Lisa, Sharma, Mukesh K, Stafford, Grace A, Suzek, Baris E, Hernandez, Joyce, Hipp, Jason, Kelley, Jenny M, Rokicki, Konrad, Pan, Sue, Buckler, Andrew, Stokes, Todd H, Fernandez, Anna, Fore, Ian, Buetow, Kenneth H, Klemm, Juli D
DOI: 10.1136/amiajnl-2011-000763
OBJECTIVES: Clinical decision support (CDS), such as computerized alerts, improves prescribing in the setting of acute kidney injury (AKI), but considerable opportunity remains to improve patient safety. The authors sought to determine whether pharmacy surveillance of AKI patients could detect and prevent medication errors that are not corrected by automated interventions. METHODS: The authors conducted a randomized clinical trial among 396 patients admitted to an academic, tertiary care hospital between [...]
Author(s): McCoy, Allison B, Cox, Zachary L, Neal, Erin B, Waitman, Lemuel R, Peterson, Neeraja B, Bhave, Gautam, Siew, Edward D, Danciu, Ioana, Lewis, Julia B, Peterson, Josh F
DOI: 10.4338/ACI-2012-03-RA-0009