Article ; Online: Pediatric medical genetics house call: Telemedicine for the next generation of patients and providers.
American journal of medical genetics. Part C, Seminars in medical genetics
2021 Volume 187, Issue 1, Page(s) 55–63
Abstract: ... for a family. We expect that pediatric medical genetics and metabolism groups across the country will continue ... both good care for patients and families while maintaining an excellent education environment for trainees ... to provide high quality telemedicine care, and allow trainees and clinical educators a metric ...
| Abstract | In an era of increasing technology and interaction with the patient bedside, we explore the role of relocating the bedside from the hospital to the home using telemedicine. The COVID-19 pandemic pushed telemedicine from small and pilot programs to widespread practice at an unprecedented rate. With the rapid implementation of telemedicine, it is important to consider how to create a telehealth system that provides both good care for patients and families while maintaining an excellent education environment for trainees of all levels. To this end, we developed telemedicine educational milestones to describe novel skills required to provide high quality telemedicine care, and allow trainees and clinical educators a metric by which to assess trainee progress. We also created methods and tools to help trainees learn and families feel comfortable in their new role as virtual collaborators. We envision a time when safety does not set the venue; instead the needs of the patient will dictate whether a virtual or in-person visit is the right choice for a family. We expect that pediatric medical genetics and metabolism groups across the country will continue to set a standard of a hybrid care system to meet the unique needs of each individual patient, using telemedicine technology. |
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| MeSH term(s) | COVID-19/epidemiology ; COVID-19/virology ; Child ; Education, Medical ; Genetics, Medical/methods ; Health Personnel ; Hospitals, Pediatric ; House Calls/statistics & numerical data ; Humans ; Pandemics/statistics & numerical data ; Patient Care ; Quality Improvement ; Quality of Health Care ; SARS-CoV-2 ; Telemedicine/methods ; Telemedicine/statistics & numerical data | |||||
| Language | English | |||||
| Publishing date | 2021-01-11 | |||||
| Publishing country | United States | |||||
| Document type | Journal Article | |||||
| ZDB-ID | 2108622-9 | |||||
| ISSN | 1552-4876 ; 0148-7299 ; 1552-4868 | |||||
| ISSN (online) | 1552-4876 | |||||
| ISSN | 0148-7299 ; 1552-4868 | |||||
| DOI | 10.1002/ajmg.c.31882 | |||||
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| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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