Abstract:
BACKGROUND:As healthcare moves towards technology-driven population health management, clinicians must adopt complex digital platforms to access health information and document care. OBJECTIVES:This study explored information literacy, a set of skills required to effectively navigate population health information systems, among primary care providers in one Veterans' Affairs (VA) medical center. METHODS:Information literacy was assessed during an 8-month randomized trial that tested a population health (panel) management intervention. Providers were asked about their use and comfort with two VA digital tools for panel management at baseline, 16 weeks, and post-intervention. An 8-item scale (range 0-40) was used to measure information literacy (Cronbach's α=0.84). Scores between study arms and provider types were compared using paired t-tests and ANOVAs. Associations between self-reported digital tool use and information literacy were measured via Pearson's correlations. RESULTS:Providers showed moderate levels of information literacy (M= 27.4, SD 6.5). There were no significant differences in mean information literacy between physicians (M=26.4, SD 6.7) and nurses (M=30.5, SD 5.2, p=0.57 for difference), or between intervention (M=28.4, SD 6.5) and control groups (M=25.1, SD 6.2, p=0.12 for difference). Information literacy was correlated with higher rates of self-reported information system usage (r=0.547, p=0.001). Clinicians identified data access, accuracy, and interpretability as potential information literacy barriers. CONCLUSIONS:While exploratory in nature, cautioning generalizability, the study suggests that measuring and improving clinicians' information literacy may play a significant role in the implementation and use of digital information tools, as these tools are rapidly being deployed to enhance communication among care teams, improve health care outcomes, and reduce overall costs.
journal_name
Appl Clin Informjournal_title
Applied clinical informaticsauthors
Dixon BE,Barboza K,Jensen AE,Bennett KJ,Sherman SE,Schwartz MDdoi
10.4338/ACI-2016-06-RA-0083subject
Has Abstractpub_date
2017-02-15 00:00:00pages
149-161issue
1issn
1869-0327pii
2016-06-RA-0083journal_volume
8pub_type
杂志文章abstract:BACKGROUND:Important information to support healthcare quality improvement is often recorded in free text documents such as radiology reports. Natural language processing (NLP) methods may help extract this information, but these methods have rarely been applied outside the research laboratories where they were develop...
journal_title:Applied clinical informatics
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doi:10.4338/ACI-2016-08-RA-0129
更新日期:2016-11-09 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...
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journal_title:Applied clinical informatics
pub_type: 杂志文章
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更新日期:2019-05-01 00:00:00
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pub_type: 杂志文章
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2012-03-RA-0011
更新日期:2012-07-11 00:00:00
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更新日期:2010-04-21 00:00:00
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更新日期:2017-02-08 00:00:00
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更新日期:2012-09-06 00:00:00
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doi:10.1055/s-0038-1651496
更新日期:2018-04-01 00:00:00
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