As a resident, your experience can stop someone from choosing blindly
Share what it’s really like to work, train, and live in your hospital and specialty. 100% anonymous, in just 5 minutes.
Lo mejor
Supervisión cercana al inicio y autonomía real a partir de R2.
Lo peor
Picos de carga en semanas de alta ocupación.
Resumen IA: Ritmo alto pero bien coordinado. Formación práctica sólida con rotaciones útiles. La ciudad es cómoda y asequible; el punto débil son los picos asistenciales en periodos de presión.
Choose how you want to participate
Share your experience
Work, training, and life in your hospital and specialty. Just 5 minutes.
Become a representative for your hospital
We’re looking for up to 3 residents per hospital to help build a real, balanced view from the inside.
Many MIR decisions are made based on rumors, closed groups, and the classic “I’ve heard that…”.
How it works
Without exposing yourself and keeping your anonymity
You access the platform and we verify you are a resident
1 minuteYour identity never appears on the platform and is never published.
You answer 3 blocks: Work · Training · Life
4 minutesAbout the hospital where you work or the city where you live.
Done. You’ve contributed to the community.
Future applicants will thank you.
This is how hospital information will be displayed
We protect your identity. We only publish data when there are enough experiences, in both quantity and variability.
Verified information
We only accept information from verified residents and healthcare professionals
Minimum critical mass
We only show results when there are enough responses for the data to be reliable
Profile diversity
We combine experiences from different years and profiles to protect anonymity
Aggregated data
We show averages, ranges, and trends
No individual opinions
We never show literal or attributable opinions
Reinforced protection
If a combination could indirectly identify someone, it is not published
AI-powered summaries
AI synthesizes patterns from anonymous experiences and context signals, without inventing data
Verified information
We only accept information from verified residents and healthcare professionals
Minimum critical mass
We only show results when there are enough responses for the data to be reliable
Profile diversity
We combine experiences from different years and profiles to protect anonymity
Aggregated data
We show averages, ranges, and trends
No individual opinions
We never show literal or attributable opinions
Reinforced protection
If a combination could indirectly identify someone, it is not published
AI-powered summaries
AI synthesizes patterns from anonymous experiences and context signals, without inventing data
Verified information
We only accept information from verified residents and healthcare professionals
Minimum critical mass
We only show results when there are enough responses for the data to be reliable
Profile diversity
We combine experiences from different years and profiles to protect anonymity
Aggregated data
We show averages, ranges, and trends
No individual opinions
We never show literal or attributable opinions
Reinforced protection
If a combination could indirectly identify someone, it is not published
AI-powered summaries
AI synthesizes patterns from anonymous experiences and context signals, without inventing data
Verified information
We only accept information from verified residents and healthcare professionals
Minimum critical mass
We only show results when there are enough responses for the data to be reliable
Profile diversity
We combine experiences from different years and profiles to protect anonymity
Aggregated data
We show averages, ranges, and trends
No individual opinions
We never show literal or attributable opinions
Reinforced protection
If a combination could indirectly identify someone, it is not published
AI-powered summaries
AI synthesizes patterns from anonymous experiences and context signals, without inventing data
Verified information
We only accept information from verified residents and healthcare professionals
Minimum critical mass
We only show results when there are enough responses for the data to be reliable
Profile diversity
We combine experiences from different years and profiles to protect anonymity
Aggregated data
We show averages, ranges, and trends
No individual opinions
We never show literal or attributable opinions
Reinforced protection
If a combination could indirectly identify someone, it is not published
AI-powered summaries
AI synthesizes patterns from anonymous experiences and context signals, without inventing data
Verified information
We only accept information from verified residents and healthcare professionals
Minimum critical mass
We only show results when there are enough responses for the data to be reliable
Profile diversity
We combine experiences from different years and profiles to protect anonymity
Aggregated data
We show averages, ranges, and trends
No individual opinions
We never show literal or attributable opinions
Reinforced protection
If a combination could indirectly identify someone, it is not published
AI-powered summaries
AI synthesizes patterns from anonymous experiences and context signals, without inventing data
Verified information
We only accept information from verified residents and healthcare professionals
Minimum critical mass
We only show results when there are enough responses for the data to be reliable
Profile diversity
We combine experiences from different years and profiles to protect anonymity
Aggregated data
We show averages, ranges, and trends
No individual opinions
We never show literal or attributable opinions
Reinforced protection
If a combination could indirectly identify someone, it is not published
AI-powered summaries
AI synthesizes patterns from anonymous experiences and context signals, without inventing data
Verified information
We only accept information from verified residents and healthcare professionals
Minimum critical mass
We only show results when there are enough responses for the data to be reliable
Profile diversity
We combine experiences from different years and profiles to protect anonymity
Aggregated data
We show averages, ranges, and trends
No individual opinions
We never show literal or attributable opinions
Reinforced protection
If a combination could indirectly identify someone, it is not published
AI-powered summaries
AI synthesizes patterns from anonymous experiences and context signals, without inventing data
WORK
How work really gets done in the department
AI summary: Servicio con mucho volumen y patología variada. Se trabaja rápido, a veces demasiado. El ambiente interno es bueno y eso salva días duros.
- UrgenciasMuy alto
- AmbienteMuy bueno
- RecursosCorrectos
- Equipo cohesionado: se nota en guardias.
- Exposición amplia a clínica diaria.
- Picos de saturación en temporada alta.
- Tiempo limitado para docencia en turno.
TRAINING
What you learn and how you’re supported
AI summary: Aprendes muchísimo por volumen, pero la estructura es mejorable. Lo que te llevas depende de cómo persigas casos, sesiones y rotaciones clave.
- RotacionesBuenas, no perfectas
- AutonomíaRápida
- FeedbackIntermitente
- Curva de aprendizaje acelerada por exposición.
- Autonomía real en urgencias con apoyo.
- Sesiones irregulares.
- Estandarización de objetivos por rotación mejorable.
QUALITY OF LIFE
What it’s like to live there for years
AI summary: Calidad de vida altísima si te encaja el estilo: clima, playa, ocio y facilidad para desconectar. Ojo: en temporada, la ciudad se llena y suben precios.
- ClimaExcelente
- Coste de vidaMedio
- Estilo de ciudadVibrante
- Recuperación post-guardia fácil (sol, mar, ocio).
- Mucho plan social y deporte.
- Precios suben en verano.
- Tráfico/masificación en picos.
What you see here is an aggregated summary: it protects identity but remains useful for decision-making. This is an example, not real.
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