Can dermatologists reach their full potential in teledermatology? A validation study of diagnostic performance of skin diseases in live video conferencing teledermatology.

The diagnostic accuracy rate of live videoconferencing (LVC) teledermatology, by board-certified dermatologists compared to non-dermatologists has not yet been fully investigated. The aim of this study was to compare the diagnostic accuracy of board-certified dermatologists, dermatology specialty trainees, and board-certified internists in LVC teledermatology. We examined the diagnostic accuracy of clinicians from different specialties in diagnosing the same group of patients. The clinicians were isolated from each other during the diagnosis process. We enrolled 18 volunteer physicians (six board-certified dermatologists, six dermatology specialty trainees, and six board-certified internists) who reviewed the skin conditions of 18 patients via LVC teledermatology. The diagnostic accuracy of the participating physicians was evaluated using the final diagnosis as the reference standard. The diagnostic accuracy averages were compared according to the physicians' specialties and disease categories. The mean ± standard deviation diagnostic accuracy of the most detailed level diagnosis was 83.3% ± 3.5% (range, 77.8%-89.0%) for board-certified dermatologists, 53.7 ± 20.7% (range 27.8%-77.8%) for dermatology specialty trainees, and 27.8 ± 5.0% (range, 22.2%-33.3%) for board-certified internists. Board-certified dermatologists showed significantly higher diagnostic accuracy, not only against board-certified internists (p < 0.0001) but also against dermatology specialty trainees (p < 0.05). Disease categories with high accuracy rates (≥80%) only by board-certified dermatologists were inflammatory papulosquamous dermatoses (87.5%), compared to 58.3%, and 20.8% for dermatology specialty trainees and board-certified internists respectively). For inflammatory erythemas and other reactive inflammatory dermatoses the accuracy rates for board-certified dermatologists, dermatology specialty trainees, and board-certified internists were 83.3%, 33.3%, 8.3% respectively; for melanoma in situ neoplasms, 83.3%, 50.0%, 66.7% respectively), and for genetic disorders of keratinization 83.3%, 33.3%, and 0% respectively). Our findings showed that board-certified dermatologists may have high diagnostic accuracy with practical safety and effectiveness in LVC teledermatology.

Interdisciplinary videoconference model for identifying potential adverse transition of care events following hospital discharge to postacute care.

Discharge from hospitals to postacute care settings is a vulnerable time for many older adults, when they may be at increased risk for errors occurring in their care. We developed the Extension for Community Healthcare Outcomes-Care Transitions (ECHO-CT) programme in an effort to mitigate these risks through a mulitdisciplinary, educational, case-based teleconference between hospital and skilled nursing facility providers. The programme was implemented in both academic and community hospitals. Through weekly sessions, patients discharged from the hospital were discussed, clinical concerns addressed, errors in care identified and plans were made for remediation. A total of 1432 discussions occurred for 1326 patients. The aim of this study was to identify errors occurring in the postdischarge period and factors that predict an increased risk of experiencing an error. In 435 discussions, an issue was identified that required further discussion (known as a transition of care event), and the majority of these were related to medications. In 14.7% of all discussions, a medical error, defined as 'any preventable event that may cause or lead to inappropriate medical care or patient harm', was identified. We found that errors were more likely to occur for patients discharged from surgical services or the emergency department (as compared with medical services) and were less likely to occur for patients who were discharged in the morning. This study shows that a number of errors may be detected in the postdischarge period, and the ECHO-CT programme provides a mechanism for identifying and mitigating these events. Furthermore, it suggests that discharging service and time of day may be associated with risk of error in the discharge period, thereby suggesting potential areas of focus for future interventions.