Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs.

BACKGROUND: Clinical knowledge bases of problem-medication pairs are necessary for many informatics solutions that improve patient safety, such as clinical summarization. However, developing these knowledge bases can be challenging. OBJECTIVE: We sought to validate a previously developed crowdsourcing approach for generating a knowledge base of problem-medication pairs in a large, non-university health care system with a widely used, commercially available electronic health record. METHODS: We first retrieved medications and problems entered in the electronic health record by clinicians during routine care during a six month study period. Following the previously published approach, we calculated the link frequency and link ratio for each pair then identified a threshold cutoff for estimated problem-medication pair appropriateness through clinician review; problem-medication pairs meeting the threshold were included in the resulting knowledge base. We selected 50 medications and their gold standard indications to compare the resulting knowledge base to the pilot knowledge base developed previously and determine its recall and precision. RESULTS: The resulting knowledge base contained 26,912 pairs, had a recall of 62.3% and a precision of 87.5%, and outperformed the pilot knowledge base containing 11,167 pairs from the previous study, which had a recall of 46.9% and a precision of 83.3%. CONCLUSIONS: We validated the crowdsourcing approach for generating a knowledge base of problem-medication pairs in a large non-university health care system with a widely used, commercially available electronic health record, indicating that the approach may be generalizable across healthcare settings and clinical systems. Further research is necessary to better evaluate the knowledge, to compare crowdsourcing with other approaches, and to evaluate if incorporating the knowledge into electronic health records improves patient outcomes.

Cat scratch disease: detection of Bartonella henselae DNA in archival biopsies from patients with clinically, serologically, and histologically defined disease.

Serological and epidemiological studies suggest that Bartonella henselae is the etiological agent of cat scratch disease. We designed a study to detect B. henselae in archival biopsies by polymerase chain reaction amplification of the 16S rRNA gene followed by Southern blot hybridization. Forty-two histologically defined cat scratch disease biopsies and eighteen controls were selected for blinded analysis. After testing, charts were reviewed for clinical, immunological, and microbial evidence of infection. Results were correlated with duration of illness and antimicrobial therapy. B. henselae DNA was identified in 27 of 42 (64%) histologically defined patients and 23 of 34 (68%) patients defined both clinically and histologically. There were no false positives (0 of 18). A small subset (n = 14) had cat scratch disease serological tests performed. B. henselae was identified in 8 of 10 serologically positive patients. Polymerase chain reaction detected 50% of our DNA-positive cases (most of these early in the clinical course). Southern blotting of amplicons both doubled sensitivity (detecting patients > 4 weeks into illness) and confirmed B. henselae as the causative species. Our study strongly associates B. henselae with cat scratch disease, suggesting that it may be the most likely etiological agent in the majority of patients with cat scratch disease.

The management of acute thoracic injuries.

The injuries resulting from blunt and penetrating injuries to the thoracic cage and its contents require prompt recognition and treatment. An outline of the major problems and recommendations for management is presented.