Table 2 Respondents and their respective helix
From: The use of digital twins in healthcare: socio-ethical benefits and socio-ethical risks
Respondent | Type of institution | Gender | Helix |
|---|---|---|---|
1 | Tech | M | Industry |
2 | Tech | M | Industry |
3 | Software | M | Industry |
4 | ICT & Consulting | M | Industry |
5 | Software & Consulting | F | Industry |
6 | Software & Research | F | Industry |
7 | Ministry | M | National Policy |
8 | Region | F | Regional Policy |
9 | University Hospital | M | Research |
10 | University | M | Research |
11 | Research Institute | M | Research |
12 | University Hospital | M | Research |
13 | University | M | Research |
14 | University | M | Research |
15 | Research Institute | M | Research |
16 | Research Institute | M | Research |
17 | Research Institute | M | Research |
18 | Citizen | M | Civil Society |
19 | Citizen | F | Patient |
20 | Citizen | F | Patient |
21 | Citizen | M | Civil Society |
22 | Public Engagement Organization | F | Civil Society |