Evidence-based design and evaluation of a whole genome sequencing clinical report for the reference microbiology laboratory Reporting isn't as simple as casually placing key figures on a page; significant work should go into designing a report template, particularly those reporting specialized data , like that found in the world of pathogen genomics. Crisan et al. of the University of British Columbia and the BC Centre for Disease Control looked for evidence-based guidelines on creating reports for such a specialty — specifically for tuberculosis genomic testing — and couldn't find any. So they researched and created their own. This 2018 paper details their journey towards a final report design, concluding "that the application of human-centered design methodologies allowed us to improve not only the visual aesthetics of the final report, but also its functionality, by carefully coupling stakeholder tasks, data, and constraints to techniques from information and graphic design."
Clinical note creation, binning, and artificial intelligence This brief viewpoint article by Deliberato et al. looks at the state of note taking in electronic health records (EHRs) and proposes that EHR developers look to artificial intelligence (AI) components to improve note taking and other tasks in their software. Not only would AI improve note taking, they argue, but "AI would provide helpful suggestions to the user about what information is available and how it might influence the next course of action. AI could also function to emphasize or deemphasize certain elements of the record, based on previous results, external databases, and knowledge networks." |