Volume 21, Issue e2, October 2014
Highlights
Health IT and clinical decision support systems: human factors and successful adoption
L Ohno-Machado
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Page e180, https://doi.org/10.1136/amiajnl-2014-003279
Perspective
A risk-based regulatory framework for health IT: recommendations of the FDASIA working group
Sarah P Slight and David W Bates
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e181–e184, https://doi.org/10.1136/amiajnl-2014-002638
Research and applications
Auditing the multiply-related concepts within the UMLS
Fleur Mougin and Natalia Grabar
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e185–e193, https://doi.org/10.1136/amiajnl-2013-002227
Evaluation of medium-term consequences of implementing commercial computerized physician order entry and clinical decision support prescribing systems in two ‘early adopter’ hospitals
Kathrin M Cresswell and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e194–e202, https://doi.org/10.1136/amiajnl-2013-002252
An interactive Bayesian model for prediction of lymph node ratio and survival in pancreatic cancer patients
Brian J Smith and James J Mezhir
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e203–e211, https://doi.org/10.1136/amiajnl-2013-002171
Finding influential users of online health communities: a new metric based on sentiment influence
Kang Zhao and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e212–e218, https://doi.org/10.1136/amiajnl-2013-002282
Sensitivity and specificity of dosing alerts for dosing errors among hospitalized pediatric patients
Jeremy S Stultz and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e219–e225, https://doi.org/10.1136/amiajnl-2013-002161
A qualitative study identifying the cost categories associated with electronic health record implementation in the UK
Sarah P Slight and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e226–e231, https://doi.org/10.1136/amiajnl-2013-002404
Mining local climate data to assess spatiotemporal dengue fever epidemic patterns in French Guiana
Claude Flamand and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e232–e240, https://doi.org/10.1136/amiajnl-2013-002348
Examining construct and predictive validity of the Health-IT Usability Evaluation Scale: confirmatory factor analysis and structural equation modeling results
Po-Yin Yen and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e241–e248, https://doi.org/10.1136/amiajnl-2013-001811
Comparing the information seeking strategies of residents, nurse practitioners, and physician assistants in critical care settings
Thomas G Kannampallil and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e249–e256, https://doi.org/10.1136/amiajnl-2013-002615
Reliability and validity of the American Hospital Association's national longitudinal survey of health information technology adoption
Jordan Everson and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e257–e263, https://doi.org/10.1136/amiajnl-2013-002449
Racial differences in cancer screening with electronic health records and electronic preventive care reminders
Rebecca G Mishuris and Jeffrey A Linder
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e264–e269, https://doi.org/10.1136/amiajnl-2013-002439
Design and usability study of an iconic user interface to ease information retrieval of medical guidelines
Nicolas Griffon and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e270–e277, https://doi.org/10.1136/amiajnl-2012-001548
Machine learning-based prediction of drug–drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties
Feixiong Cheng and Zhongming Zhao
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e278–e286, https://doi.org/10.1136/amiajnl-2013-002512
Applying human factors principles to alert design increases efficiency and reduces prescribing errors in a scenario-based simulation
Alissa L Russ and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e287–e296, https://doi.org/10.1136/amiajnl-2013-002045
Impact of electronic reminders on venous thromboprophylaxis after admissions and transfers
P E Beeler and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e297–e303, https://doi.org/10.1136/amiajnl-2013-002225
Paving the COWpath: data-driven design of pediatric order sets
Yiye Zhang and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e304–e311, https://doi.org/10.1136/amiajnl-2013-002316
A comparative analysis of methods for predicting clinical outcomes using high-dimensional genomic datasets
Xia Jiang and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e312–e319, https://doi.org/10.1136/amiajnl-2013-002358
Attitudes regarding privacy of genomic information in personalized cancer therapy
Deevakar Rogith and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e320–e325, https://doi.org/10.1136/amiajnl-2013-002579
Implementation and evaluation of an efficient secure computation system using ‘R’ for healthcare statistics
Koji Chida and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e326–e331, https://doi.org/10.1136/amiajnl-2014-002631
Evaluation of medication alerts in electronic health records for compliance with human factors principles
Shobha Phansalkar and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e332–e340, https://doi.org/10.1136/amiajnl-2013-002279
An iterative evaluation of two shortened systematic review formats for clinicians: a focus group study
Laure Perrier and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e341–e346, https://doi.org/10.1136/amiajnl-2014-002660
Brief Communication
Effect of clinical decision support on documented guideline adherence for head CT in emergency department patients with mild traumatic brain injury
Anurag Gupta and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e347–e351, https://doi.org/10.1136/amiajnl-2013-002536
Electronic handoff instruments: a truly multidisciplinary tool?
Kevin M Schuster and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e352–e357, https://doi.org/10.1136/amiajnl-2013-002361
Risk evaluation and mitigation strategy programs in solid organ transplantation: the promises of information technology
Demetra S Tsapepas and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e358–e362, https://doi.org/10.1136/amiajnl-2013-002446
Review
Exchanging care records using HL7 V3 care provision messages
William Goossen and Laura Heermann Langford
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e363–e368, https://doi.org/10.1136/amiajnl-2013-002264
Case Report
CLARA: an integrated clinical research administration system
Jiang Bian and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e369–e373, https://doi.org/10.1136/amiajnl-2013-002616
Correspondence
Transfer and transport: incorporating causal methods for improving predictive models
Kyle W Singleton and others
Journal of the American Medical Informatics Association, Volume 21, Issue e2, October 2014, Pages e374–e375, https://doi.org/10.1136/amiajnl-2014-002968
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