Sentence examples for diagnostic correctness from inspiring English sources
The use of the HealthSOAF platform in this experimental pilot is associated with enhanced diagnostic correctness and access to tailored headache services in the considered area, suggesting that network-based clinical decision support informational tools can improve the clinical governance of headache.
The use of the Amsel criteria for the detection of BV or microscopy for the detection of Candida spp. did not enhance the diagnostic correctness (Table 3).
Poor record keeping with respect to the symptoms recorded or any missing information may lead to an under-estimation of the diagnostic correctness and the referral appropriateness.
The results from the logistic model are presented in table 4. Factors associated with a high correctness on diagnostic information included a diagnostic code written in the VCR and being a first visit.
Correctness of diagnostic information was assessed using semi-subjective criteria (table 1) under the categories "total correctness", "partial correctness", and "absence of correctness".
Further, the same test was used to investigate the difference in proportion of correctness on diagnostic information for first and follow up visits, for whether a diagnostic code was explicitly written in the VCR and for first and follow up visits for system joint, respectively.
The correctness on diagnostic information in the CCR was 92% (n = 453/491) and varied between clinics from 69%to100%0%.
Other evaluations of computerized medical records have shown variation in agreement (i.e. correctness) for diagnostic information.
The 95% confidence intervals (95% CIs) for correctness on diagnostic information were calculated using the two-tailed exact binomial test.
Table 1 shows the number of cases in each category in the assessment of correctness of diagnostic information for the diagnoses recorded in the CCR.
A similar level of the estimated correctness for diagnostic information was found for investigated body systems in a validation of an equine insurance data base, whereas the correctness for specific diagnoses was lower (84%) [ 22].
