[TeleCOVID Hessen: implications for the development of new indication areas]. / TeleCOVID Hessen: Implikationen für die Erschließung neuer Indikationsgebiete.

BACKGROUND: During the SARS-CoV­2 pandemic, the TeleCOVID application was developed in Hessen to connect the intensive care units via telemedicine. After successful implementation, the application should be extended to other indication areas in intensive care medicine. OBJECTIVES: The purpose of this study was to evaluate other indications for which the application can be used and which technical requirements are associated with this. MATERIALS AND METHODS: To answer these questions, guideline-based expert interviews were conducted, which were evaluated using a qualitative content analysis. RESULTS: The survey showed that TeleCOVID can be extended to other indication areas in intensive care. Numerous technical requirements were formulated that should be specifically considered when the application is further developed. CONCLUSIONS: The telemedical networking of intensive care units generates added value for the actors involved. However, it is important that the data is collected in the best possible standardized and structured way. The communication process should be automated wherever possible to minimise the workload for the participating persons.

[Evaluation of the "TeleCOVID Hesse" project after 1 year in operation]. / Evaluation des Projekts "TeleCOVID Hessen" nach einjährigem Betrieb.

BACKGROUND: The SARS-CoV­2 pandemic posed unexpected challenges for hospitals worldwide and in addition to the supply emergency, simultaneously caused a high pressure to innovate. Due to the high number of cases of COVID-19 patients requiring intensive care, structured networking of hospitals gained particular importance. The tele-ICU communication platform TeleCOVID was developed to improve the quality of intensive care both by enabling teleconsultations and by supporting patient transfers. OBJECTIVE: The present study aimed to survey user experiences with TeleCOVID. The study investigated the extent to which the app is used, the user experiences of the participating hospitals, and the resulting implications for the further development of the telemedicine application. MATERIAL AND METHODS: A user survey was conducted in May 2022 using an online questionnaire. The survey contained both closed and open questions with a free text field. It was sent via the Hessian Ministry of Social Affairs and Integration (HMSI). All 135 hospitals in Hesse were contacted by e­mail and invited to participate in the study. The results of the closed questions were analyzed using descriptive statistics, and the results of the open questions were clustered and thematically summarized using qualitative content analysis. RESULTS: The study showed that TeleCOVID was used primarily for transfer requests, followed by the need for a treatment consultation without a transfer request. Most often, ECMO treatment or treatment in a hospital of a higher care level was required. The content analysis showed that users particularly rated the possibility of a data protection-compliant and structured transfer of patient data as advantageous. It is also worth mentioning that in almost 25% of the cases a transfer of patients could be prevented by TeleCOVID. Disadvantages frequently mentioned by respondents were the lack of connection to the electronic hospital information system, the increased time required for the registration process, and the poor primary accessibility of contact persons. CONCLUSION: In a further development of the application the connection to the electronic hospital information system should be considered particularly urgent. In addition, the time expenditure should be reduced by a simplified login process. Due to interface barriers, an alternative data infrastructure would also be conceivable to create interoperability. The introduction of a web client could also increase usability. The main beneficiaries of hospital networking are physicians and patients in a context associated with a high workload and specific medical issues. Continuation and expansion of the app to intensive care medicine and beyond are therefore recommended. In further studies on the project, personal interviews with decision makers could be useful to conduct a more targeted needs analysis.

The medical profession transformed by artificial intelligence: Qualitative study.

Background: Healthcaare delivery will change through the increasing use of artificial intelligence (AI). Physicians are likely to be among the professions most affected, though to what extent is not yet clear. Objective: We analyzed physicians' and AI experts' stances towards AI-induced changes. This concerned (1) physicians' tasks, (2) job replacement risk, and (3) implications for the ways of working, including human-AI interaction, changes in job profiles, and hierarchical and cross-professional collaboration patterns. Methods: We adopted an exploratory, qualitative research approach, using semi-structured interviews with 24 experts in the fields of AI and medicine, medical informatics, digital medicine, and medical education and training. Thematic analysis of the interview transcripts was performed. Results: Specialized tasks currently performed by physicians in all areas of medicine would likely be taken over by AI, including bureaucratic tasks, clinical decision support, and research. However, the concern that physicians will be replaced by an AI system is unfounded, according to experts; AI systems today would be designed only for a specific use case and could not replace the human factor in the patient-physician relationship. Nevertheless, the job profile and professional role of physicians would be transformed as a result of new forms of human-AI collaboration and shifts to higher-value activities. AI could spur novel, more interprofessional teams in medical practice and research and, eventually, democratization and de-hierarchization. Conclusions: The study highlights changes in job profiles of physicians and outlines demands for new categories of medical professionals considering AI-induced changes of work. Physicians should redefine their self-image and assume more responsibility in the age of AI-supported medicine. There is a need for the development of scenarios and concepts for future job profiles in the health professions as well as their education and training.