Abstract:
OBJECTIVES:This study evaluates the accuracy and portability of a natural language processing (NLP) tool for extracting clinical findings of influenza from clinical notes across two large healthcare systems. Effectiveness is evaluated on how well NLP supports downstream influenza case-detection for disease surveillance. METHODS:We independently developed two NLP parsers, one at Intermountain Healthcare (IH) in Utah and the other at University of Pittsburgh Medical Center (UPMC) using local clinical notes from emergency department (ED) encounters of influenza. We measured NLP parser performance for the presence and absence of 70 clinical findings indicative of influenza. We then developed Bayesian network models from NLP processed reports and tested their ability to discriminate among cases of (1) influenza, (2) non-influenza influenza-like illness (NI-ILI), and (3) 'other' diagnosis. RESULTS:On Intermountain Healthcare reports, recall and precision of the IH NLP parser were 0.71 and 0.75, respectively, and UPMC NLP parser, 0.67 and 0.79. On University of Pittsburgh Medical Center reports, recall and precision of the UPMC NLP parser were 0.73 and 0.80, respectively, and IH NLP parser, 0.53 and 0.80. Bayesian case-detection performance measured by AUROC for influenza versus non-influenza on Intermountain Healthcare cases was 0.93 (using IH NLP parser) and 0.93 (using UPMC NLP parser). Case-detection on University of Pittsburgh Medical Center cases was 0.95 (using UPMC NLP parser) and 0.83 (using IH NLP parser). For influenza versus NI-ILI on Intermountain Healthcare cases performance was 0.70 (using IH NLP parser) and 0.76 (using UPMC NLP parser). On University of Pisstburgh Medical Center cases, 0.76 (using UPMC NLP parser) and 0.65 (using IH NLP parser). CONCLUSION:In all but one instance (influenza versus NI-ILI using IH cases), local parsers were more effective at supporting case-detection although performances of non-local parsers were reasonable.
journal_name
Appl Clin Informjournal_title
Applied clinical informaticsauthors
Ferraro JP,Ye Y,Gesteland PH,Haug PJ,Tsui FR,Cooper GF,Van Bree R,Ginter T,Nowalk AJ,Wagner Mdoi
10.4338/ACI-2016-12-RA-0211subject
Has Abstractpub_date
2017-05-31 00:00:00pages
560-580issue
2issn
1869-0327pii
2016-12-RA-0211journal_volume
8pub_type
杂志文章abstract:BACKGROUND:Prescribers' inappropriate use of the free-text Notes field in new electronic prescriptions can create confusion and workflow disruptions at receiving pharmacies that often necessitates contact with prescribers for clarification. The inclusion of inappropriate patient direction (Sig) information in the Notes...
journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2014-03-CR-0022
更新日期:2014-08-06 00:00:00
abstract:BACKGROUND:The traditional concept of personalized nutrition is based on adapting diets according to individual needs and preferences. Discussions about personalized nutrition have been on since the Human Genome Project, which has sequenced the human genome. Thenceforth, topics such as nutrigenomics have been assessed ...
journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.1055/s-0038-1635115
更新日期:2018-01-01 00:00:00
abstract::Objective Patient instructions are generally written by clinicians. However, clinician-centered language is challenging for patients to understand; in the case of pediatric medication instructions, consequences can be serious. Using examples of clinician-written medication instructions from an electronic health record...
journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2017-06-RA-0111
更新日期:2017-10-01 00:00:00
abstract:BACKGROUND:Advances in technology and access to expanded genetic testing have resulted in more children and adolescents receiving genetic testing for diagnostic and prognostic purposes. With increased adoption of the electronic health record (EHR), genetic testing is increasingly resulted in the EHR. However, this lead...
journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.1055/s-0040-1718753
更新日期:2020-10-01 00:00:00
abstract:OBJECTIVES:Transitions in patient care pose an increased risk to patient safety. One way to reduce this risk is to ensure accurate medication reconciliation during the transition. Here we present an evaluation of an electronic medication reconciliation module we developed to reduce the transition risk in patients refer...
journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2015-11-RA-0154
更新日期:2016-05-25 00:00:00
abstract:OBJECTIVES:Various computerized health risk appraisals (HRAs) are available, but few of them assess health-related quality of life (HRQoL) in a goal-directed framework. This study describes the user-centered development and usability testing of an innovative HRQoL module that extends a validated HRA tool in primary car...
journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2014-08-RA-0067
更新日期:2014-12-10 00:00:00
abstract:OBJECTIVE:Based on US. Centers for Disease Control and Prevention recommendations, New York State enacted legislation in 2010 requiring healthcare providers to offer non-targeted human immunodeficiency virus (HIV) testing to all patients aged 13-64. Three New York City adult emergency departments implemented an electro...
journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2013-09-RA-0075
更新日期:2014-03-26 00:00:00
abstract:UNLABELLED:Nationwide Children's Hospital established an i2b2 (Informatics for Integrating Biology & the Bedside) application for sleep disorder cohort identification. Discrete data were gleaned from semistructured sleep study reports. The system showed to work more efficiently than the traditional manual chart review ...
journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2014-11-RA-0106
更新日期:2015-05-27 00:00:00
abstract:BACKGROUND:High-quality clinical data and biological specimens are key for medical research and personalized medicine. The Biobanking and Biomolecular Resources Research Infrastructure-European Research Infrastructure Consortium (BBMRI-ERIC) aims to facilitate access to such biological resources. The accompanying ADOPT...
journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.1055/s-0039-1695793
更新日期:2019-08-01 00:00:00
abstract:: ...
journal_title:Applied clinical informatics
pub_type: 社论
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更新日期:2018-10-01 00:00:00
abstract:OBJECTIVE:The Instrument for Evaluating Human-Factor Principles in Medication-Related Decision Support Alerts (I-MeDeSA) was developed recently in the US with a view towards improving considerations of human-factor principles when designing alerts for clinical decision support (CDS) systems. This study evaluated the ge...
journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2014-01-RA-0005
更新日期:2014-06-18 00:00:00
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.1055/s-0038-1670678
更新日期:2018-07-01 00:00:00
abstract:BACKGROUND:Hospitals across the country are investing millions of dollars to adopt new Health Insurance Portability and Accountability Act (HIPAA)-compliant secure text messaging systems. However, in nearly all cases, these implementations are occurring without evaluation of their impact on patient care. OBJECTIVE:To ...
journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.1055/s-0039-1700868
更新日期:2019-10-01 00:00:00
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.1055/s-0040-1710525
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journal_title:Applied clinical informatics
pub_type: 杂志文章,多中心研究
doi:10.1055/s-0038-1676040
更新日期:2018-10-01 00:00:00
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2010-04-RA-0024
更新日期:2010-11-24 00:00:00
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.1055/s-0039-1679960
更新日期:2019-03-01 00:00:00
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.1055/s-0037-1620262
更新日期:2018-01-01 00:00:00
abstract:BACKGROUND:Asthma exacerbations are one of the most common medical reasons for children to be brought to the hospital emergency department (ED). Various prediction models have been proposed to support diagnosis of exacerbations and evaluation of their severity. OBJECTIVES:First, to evaluate prediction models construct...
journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2013-04-RA-0029
更新日期:2013-08-07 00:00:00
abstract:OBJECTIVE:To evaluate informatics-enabled quality improvement (QI) strategies for promoting time spent on face-to-face communication between ophthalmologists and patients. METHODS:This prospective study involved deploying QI strategies during implementation of an enterprise-wide vendor electronic health record (EHR) i...
journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.1055/s-0040-1701255
更新日期:2020-01-01 00:00:00
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2016-10-RA-0168
更新日期:2017-05-10 00:00:00
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2014-09-RA-0073
更新日期:2015-03-18 00:00:00
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2015-09-RA-0127
更新日期:2016-05-04 00:00:00
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2012-09-RA-0035
更新日期:2012-12-05 00:00:00
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2016-07-RA-0115
更新日期:2017-01-25 00:00:00
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2011-01-RA-0002
更新日期:2012-02-08 00:00:00
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2015-10-RA-0135
更新日期:2016-06-22 00:00:00
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.1055/s-0040-1710024
更新日期:2020-03-01 00:00:00
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2016-08-RA-0133
更新日期:2017-03-08 00:00:00
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.1055/s-0040-1721013
更新日期:2021-01-01 00:00:00