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Efficacy of virtual and asynchronous teaching of computer-assisted diagnosis of genetic diseases seen in clinics.
Hash, Mary Grace; Walker, Philip D; Laferriere, Heather E; Melton, Leeanna; Heller, Lauren S; Phillips, John A.
  • Hash MG; Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA.
  • Walker PD; Eskind Biomedical Library, Vanderbilt University, Nashville, Tennessee, USA.
  • Laferriere HE; Eskind Biomedical Library, Vanderbilt University, Nashville, Tennessee, USA.
  • Melton L; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Heller LS; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Phillips JA; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Am J Med Genet A ; 188(4): 1142-1148, 2022 04.
Article in English | MEDLINE | ID: covidwho-1593959
ABSTRACT
We studied if clinicians could gain sufficient working knowledge of a computer-assisted diagnostic decision support system (DDSS) (SimulConsult), to make differential diagnoses (DDx) of genetic disorders. We hypothesized that virtual training could be convenient, asynchronous, and effective in teaching clinicians how to use a DDSS. We determined the efficacy of virtual, asynchronous teaching for clinicians to gain working knowledge to make computer-assisted DDx. Our study consisted of three surveys (Baseline, Training, and After Use) and a series of case problems sent to clinicians at Vanderbilt University Medical Center. All participants were able to generate computer-assisted DDx that achieved passing scores of the case problems. Between 75% and 92% agreed/completely agreed the DDSS was useful to their work and for clinical decision support and was easy to use. Participants' use of the DDSS resulted in statistically significant time savings in key tasks and in total time spent on clinical tasks. Our results indicate that virtual, asynchronous teaching can be an effective format to gain a working knowledge of a DDSS, and its clinical use could result in significant time savings across multiple tasks as well as facilitate synergistic interaction between clinicians and lab specialists. This approach is especially pertinent and offers value amid the COVID-19 pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Teaching / User-Computer Interface / Diagnosis, Computer-Assisted / Genetic Diseases, Inborn Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Am J Med Genet A Journal subject: Genetics, Medical Year: 2022 Document Type: Article Affiliation country: Ajmg.a.62628

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Teaching / User-Computer Interface / Diagnosis, Computer-Assisted / Genetic Diseases, Inborn Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Am J Med Genet A Journal subject: Genetics, Medical Year: 2022 Document Type: Article Affiliation country: Ajmg.a.62628