Introduction: Patients often refer to information on the Internet when selecting a medical institution, and some patients provide feedback on their experiences. In this study, we analyzed the content of patients' evaluations of medical institutions on Google.Methods: This study evaluated Google reviews and ratings of medical institutions in Shizuoka Prefecture. We coded the reviews with 12 items according to their content, and further categorized them into "positive," "negative," "unclassifiable," and "no description." We used modified Poisson regression analysis to investigate the relationship between ratings and assessment items.Results: Our sample consisted of 2,044 medical institutions. The number of reviews included in the analysis was 13,769. Reviews frequently commented on "doctor's behaviors," and positive comments about doctor's behaviors were significantly associated with high ratings (B: 0.76, 95%CI: 0.70 to 0.82), whereas negative comments were associated with low ratings (−4.65, −5.24 to −4.06).Conclusion: Within the reviews on Google, doctors' behavior had an impact on the ratings of medical institutions.

Echocardiographic assessment of wall motion is prone to interrater variability because it requires subjective visual evaluation. Echocardiography technicians were divided into 2 groups by years of experience, and their assessments of left ventricular wall motion on previously recorded echocardiograms were scored and compared. Scores did not differ within the more experienced group but differed significantly between technicians in the less experienced group. However, this difference disappeared after 3 months of training. This suggests that training can eliminate discrepancies between technicians, even inexperienced ones, in a relatively short period of time.

Cough is one of the most common respiratory complaints leading to medical consultation. Fractional exhaled nitric oxide (FeNO) testing detects eosinophilic inflammation of the airway. We evaluated the diagnostic efficacy of FeNO testing in patients with cough. Patients who presented to the respiratory medicine department of our hospital with a chief complaint of cough and underwent FeNO testing were included in this study and divided into asthma and non-asthma groups. Patients with confounding factors such as allergic rhinitis and atopic predispositions were also identified and those with and without confounding factors, respectively, were further divided into the asthma and non-asthma groups. Median FeNO in the asthma and non-asthma groups was respectively 31 and 19 ppb in all patients and 31 and 18 ppb in those without confounding factors, with significant differences between the groups in both populations. The corresponding values in patients with confounding factors were 46 and 23 ppb, with no significant difference between the groups. A cut-off of 27 ppb differentiated between the asthma and non-asthma groups with sensitivity of 0.603 and specificity of 0.776. These results suggest FeNO testing is effective in the differential diagnosis of cough in patients without confounding factors.