Effects of Combinational Use of Additional Differential Diagnostic Generators on the Diagnostic Accuracy of the Differential Diagnosis List Developed by an Artificial Intelligence-Driven Automated History-Taking System: Pilot Cross-Sectional Study.

BACKGROUND: Low diagnostic accuracy is a major concern in automated medical history-taking systems with differential diagnosis (DDx) generators. Extending the concept of collective intelligence to the field of DDx generators such that the accuracy of judgment becomes higher when accepting an integrated diagnosis list from multiple people than when accepting a diagnosis list from a single person may be a possible solution. OBJECTIVE: The purpose of this study is to assess whether the combined use of several DDx generators improves the diagnostic accuracy of DDx lists. METHODS: We used medical history data and the top 10 DDx lists (index DDx lists) generated by an artificial intelligence (AI)-driven automated medical history-taking system from 103 patients with confirmed diagnoses. Two research physicians independently created the other top 10 DDx lists (second and third DDx lists) per case by imputing key information into the other 2 DDx generators based on the medical history generated by the automated medical history-taking system without reading the index lists generated by the automated medical history-taking system. We used the McNemar test to assess the improvement in diagnostic accuracy from the index DDx lists to the three types of combined DDx lists: (1) simply combining DDx lists from the index, second, and third lists; (2) creating a new top 10 DDx list using a 1/n weighting rule; and (3) creating new lists with only shared diagnoses among DDx lists from the index, second, and third lists. We treated the data generated by 2 research physicians from the same patient as independent cases. Therefore, the number of cases included in analyses in the case using 2 additional lists was 206 (103 cases × 2 physicians' input). RESULTS: The diagnostic accuracy of the index lists was 46% (47/103). Diagnostic accuracy was improved by simply combining the other 2 DDx lists (133/206, 65%, P<.001), whereas the other 2 combined DDx lists did not improve the diagnostic accuracy of the DDx lists (106/206, 52%, P=.05 in the collective list with the 1/n weighting rule and 29/206, 14%, P<.001 in the only shared diagnoses among the 3 DDx lists). CONCLUSIONS: Simply adding each of the top 10 DDx lists from additional DDx generators increased the diagnostic accuracy of the DDx list by approximately 20%, suggesting that the combinational use of DDx generators early in the diagnostic process is beneficial.

Diagnostic errors in uncommon conditions: a systematic review of case reports of diagnostic errors.

OBJECTIVES: To assess the usefulness of case reports as sources for research on diagnostic errors in uncommon diseases and atypical presentations. CONTENT: We reviewed 563 case reports of diagnostic error. The commonality of the final diagnoses was classified based on the description in the articles, Orphanet, or epidemiological data on available references; the typicality of presentation was classified based on the description in the articles and the judgment of the physician researchers. Diagnosis Error Evaluation and Research (DEER), Reliable Diagnosis Challenges (RDC), and Generic Diagnostic Pitfalls (GDP) taxonomies were used to assess the factors contributing to diagnostic errors. SUMMARY AND OUTLOOK: Excluding three cases in that commonality could not be classified, 560 cases were classified into four categories: typical presentations of common diseases (60, 10.7 %), atypical presentations of common diseases (35, 6.2 %), typical presentations of uncommon diseases (276, 49.3 %), and atypical presentations of uncommon diseases (189, 33.8 %). The most important DEER taxonomy was "Failure/delay in considering the diagnosis" among the four categories, whereas the most important RDC and GDP taxonomies varied with the categories. Case reports can be a useful data source for research on the diagnostic errors of uncommon diseases with or without atypical presentations.

Outcomes of General Internal Medicine Consultations for Diagnosis from Specialists in a Tertiary Hospital: A Retrospective Observational Study.

Purpose: The data on the diagnostic contribution of general internal medicine (GIM) consultations for undiagnosed health problems from specialists are scarce. This study aims to explore the role of generalists as diagnostic medicine consultants in tertiary care settings. Patients and Methods: We conducted a retrospective observational study at a Japanese university hospital. GIM consultations for diagnosis from other departments on outpatients aged ≧ 20 years from January 2018 to December 2020 were included. Data were extracted from electronic medical records. The primary outcome was new diagnosis rates. The secondary outcomes were new diagnosis rates with clinical significance and clinical outcomes at 90 days from the index visit. Results: A total of 328 patients were included. The top five consulting departments were orthopedics (17.0%), cardiovascular (10.3%), otorhinolaryngology (8.8%), neurology (8.8%), and gastroenterology (7.9%). GIM identified 456 chief complaints (CCs), and the top five were fever (10.9%), abnormal laboratory results (8.3%), fatigue (5.9%), and pain (7.4%) or numbness (4.6%) in the extremities. There were 139 (104/328 patients: 31.8%) specialty consultations from GIM, and the top five departments were rheumatology (21.1%), gastroenterology (19.2%), orthopedics (9.6%), psychiatry (9.6%), and neurology (9.6%). In total, 277 new diagnoses were established in 232 patients (70.7%), and 203 patients had new diagnoses with clinical significance (61.8%). Clinical outcomes at 90 days from the time of the index visit were resolution/improvement (60.7%), unchanged/worsened (22.3%), and unknown (17.0%). Conclusion: Over 70% of GIM consultations from other departments established new diagnoses with favorable outcomes in >60% of the patients.

Delayed isolation of smear-positive pulmonary tuberculosis patients in a Japanese acute care hospital.

BACKGROUND: Active pulmonary tuberculosis (TB) is associated with intra-hospital spread of the disease. Expeditious diagnosis and isolation are critical for infection control. However, factors that lead to delayed isolation of smear-positive pulmonary TB patients, especially among the elderly, have not been reported. The purpose of this study is to investigate factors associated with delay in the isolation of smear-positive TB patients. METHODS: All patients with smear-positive pulmonary TB admitted between January 2008 and December 2016 were included. The setting was a Japanese acute care teaching hospital. Following univariate analysis, significant factors in the model were analyzed using the multivariate Cox proportional hazard model. RESULTS: Sixty-nine patients with mean age of 81 years were included. The median day to the isolation of pulmonary TB was 1 day with interquartile range, 1-4 days. On univariate analysis, the time to isolation was significantly delayed in male patients (p = 0.009), in patient who had prior treatment with newer quinolone antibiotics (p = 0.027), in patients who did not have chronic cough (p = 0.023), in patients who did not have appetite loss (p = 0.037), and in patients with non-cavitary lesion (p = 0.005), lesion located other than in the upper zone (p = 0.015), and non-disseminated lesion on the chest radiograph (p = 0.028). On multivariate analysis, the time to isolation was significantly delayed in male patients (hazard ratio [HR], 0.47; 95% confidence interval [CI], 0.25 to 0.89; P = 0.02), in patients who did not have chronic chough (HR, 0.52; 95% CI, 0.28 to 0.95; P = 0.033), and in patients with non-cavitary lesion on the chest radiograph (HR, 0.46; 95% CI, 0.23 to 0.92; P = 0.028). CONCLUSIONS: In acute care hospitals of an aging society, prompt diagnosis and isolation of TB patients are important for the protection of other patients and healthcare providers. Delay in isolation is associated with male gender, absence of chronic cough, and presence of non-cavitary lesions on the chest radiograph.