2011
DOI: 10.1016/j.ijmedinf.2011.06.003
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What do physicians tell laboratories when requesting tests? A multi-method examination of information supplied to the Microbiology laboratory before and after the introduction of electronic ordering

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Cited by 16 publications
(14 citation statements)
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“…(520/6018) of isolates had the sample site information missing, which is similar to human [37,38] and other veterinary studies [39] where information was commonly missing from diagnostic submission forms.…”
Section: Accepted Articlementioning
confidence: 63%
“…(520/6018) of isolates had the sample site information missing, which is similar to human [37,38] and other veterinary studies [39] where information was commonly missing from diagnostic submission forms.…”
Section: Accepted Articlementioning
confidence: 63%
“…5 Electronic requesting has the potential to save money for the NHS by reducing the repeat requests created when the original sample was noncompliant. However, we are aware that the system is not perfect and errors will continue to occur.…”
Section: Discussionmentioning
confidence: 99%
“…It can be used to educate users at the time of sample collection, using specific messages and ensure sufficient information for the interpretation of the tests requested is supplied by the requesting clinician. 5 We aimed to show that the introduction of an electronic order communication system in Primary Care has reduced the number of pre-analytical errors and improved the quality of information received.…”
Section: Introductionmentioning
confidence: 99%
“…EHRs often have limited ability to require the ordering physician to answer necessary questions regarding patient history. 30 History for appropriate microbiology testing can be crucial and extensive (travel, immune status, pets, transplant status, occupation, etc), and this information is usually buried within EHR notes rather than being presented in searchable data fields that can be viewed in either the EHR or the CPLIS at the time of culture to assist with appropriate culture and serologic test selection. Appropriate clinical and historical information would also be useful to incorporate into interpretive algorithms, as this would help prevent misguided treatment and overlooking important microbes.…”
Section: Special Considerationsmentioning
confidence: 99%