| Literature DB >> 34669644 |
Jan Wienhold1, Lucas Mösch, Rolf Rossaint, Ilka Kemper, Matthias Derwall, Michael Czaplik, Andreas Follmann.
Abstract
BACKGROUND: During the surge in coronavirus disease 2019 (COVID-19) infections in early 2020, many medical organisations began developing strategies for implementing teleconsultation to maintain medical services during lockdown and to limit physical contact. Therefore, we developed a teleconsultation preoperative evaluation platform to replace on-site preoperative meetings.Entities:
Mesh:
Year: 2021 PMID: 34669644 PMCID: PMC8630926 DOI: 10.1097/EJA.0000000000001616
Source DB: PubMed Journal: Eur J Anaesthesiol ISSN: 0265-0215 Impact factor: 4.330
Fig. 1The tele-anaesthesia workplace in the hospital enables access to the hospital information system (a), software support for preoperative evaluation (b), and documentation of the patient's medical history and performed education on a touch screen (c)
Features provided by the telemedicine software enabling adequate patient education
| Usability features | Interoperability features | Legal and privacy features |
| Patient information regarding anaesthesia can be given in advance | Anaesthetist has simultaneous access to the electronic health record | Platform provides transport-encrypted direct peer-to-peer connections |
| Medical history form can be completed by the patient prior to the consultation | Platform is interfaced to hospital information system | Platform uses certified video-consultation (Internet Privacy Standard) |
| Patient and anaesthetist communicate through videotelephony | Signature is drawn with mouse or digital pen | |
| Medical history and information sheet are jointly edited by the patient and the anaesthetist | Patient's live signature is visible to the doctor | |
| Patient needs only a standard computer, no special equipment | Further IT-derived evidence of conducted education (IP address, time stamps, etc.) is automatically recorded |
Fig. 2Visualisation of the process for telemedical information and risk assessment of a patient within the framework of our study
Fig. 3Results of the questionnaire filled out by participating anaesthetists
Fig. 4Results of the questionnaire filled out by participating patients
Characteristics of study participants
| Variables | ||
| Age (years) | ||
| 33 ± 7.5 | ||
| Sex | ||
| Male | 25 | 25% |
| Female | 75 | 75% |
| ASA score | ||
| ASA I | 44 | 44% |
| ASA II | 56 | 56% |
| Surgery classification | ||
| Class I | 28 | 28% |
| Class II | 21 | 21% |
| Class III | 13 | 13% |
| Nondisclosed | 38 | 38% |
| Clinical specialty | ||
| Obstetrics | 38 | 38% |
| Gynaecology | 15 | 15% |
| Trauma surgery | 11 | 11% |
| Urology | 10 | 10% |
| Abdominal surgery | 7 | 7% |
| Oral and maxillofacial surgery | 6 | 6% |
| Plastic surgery | 4 | 4% |
| Otolaryngology | 4 | 4% |
| Reproduction medicine | 4 | 4% |
| Vascular surgery | 1 | 1% |
Data are given as mean ± SD or n (%).