Es mantenen els valors originals, la font, els noms d’origen i els fitxers normalitzats.
Endoscopy waiting times in Catalonia
Dues pàgines específiques, una per a colonoscòpia i una altra per a gastroscòpia, to explore waiting times by hospital and territory using public CatSalut data.

Two pages that let the data speak for themselves
Each procedure has its own context, 2021–2026 trend and territorial view. Both pages use the same methodology to keep comparisons consistent.
Waiting times by hospital
Patients waiting, mean waiting time, procedures completed through June and trends by centre.
Waiting times by hospital
The same reading structure, with gastroscopy-specific data and comparisons.
Making public information genuinely accessible
CatSalut publishes diagnostic-test waiting lists. This website does not create new data: it organises the original files so that anyone can explore them more easily.
The original information is spread across files and structures that make it difficult to follow a hospital, compare years or understand the territorial dimension. Here it becomes a navigable data publication, without adding a proprietary score or turning results into judgements.
The June snapshot and a stable geography are used consistently across all six years.
El centre és la unitat principal. Es pot buscar, seguir i comparar amb altres hospitals.
Patients, days and activity are shown separately, without reducing them to an opaque index.
A tool to explore, compare and reuse
Charts support an initial reading, while exact values, hospital comparisons and data downloads remain available. The information is presented without turning it into a ranking or opinion.
2021–2026 trends
Un mateix tall temporal permet seguir els canvis anuals sense barrejar mesos diferents.
Hospital search
Cada centre té una sèrie pròpia de patients, days i procedures completed through June.
Compare centres
Es poden superposar fins a tres hospitals per veure les seves evolucions en paral·lel.
Territoryal distribution
Les àrees estables faciliten comparar la mateixa geografia durant tot el període.
The data speak for themselves
Separate figures, with no imposed index or conclusion.
CSV and JSON
The normalized datasets can be downloaded, reviewed and reused.
How a comparable series is built
Each page contains the detailed methodology. The home page summarises only the decisions that affect the project as a whole.
Why June is used
The annual comparison uses the June snapshot every year. Its representativeness was checked against other available quarterly snapshots: June is generally close to the centre of the year’s values and maintains a highly stable ordering of hospitals.
What “procedures completed through June” means
The published figure is cumulative within the year. It is therefore presented explicitly as procedures completed from the start of the year through the June snapshot.
How territories are compared
The official health regions changed during the period. To avoid breaks, the website starts from hospitals and assigns them to stable geographic areas created solely for longitudinal analysis.
What is and is not normalised
Es normalitzen noms històrics de centres i formats dels fitxers. Els totals oficials de Catalunya no es modifiquen, i les pàgines enllacen sempre amb la consulta original de CatSalut.
Where the data come from
The data come from official CatSalut publications on diagnostic-test waiting lists. This is an independent visualisation designed to facilitate access, not replace institutional information.
How to interpret these data
This visualisation is based on public data published by CatSalut from the healthcare waiting-list system (LES). Figures reflect information reported and updated by the centres and may be subject to later corrections or data-quality incidents communicated by CatSalut.
Urgent diagnostic procedures are not included in this monitoring. Scheduling is prioritised according to clinical and social circumstances, including severity, the risk associated with delay and other clinical criteria. A hospital’s mean waiting time is therefore an aggregate figure: it does not predict an individual patient’s wait or assess quality of care.
Prioritisation of diagnostic procedures·Data quality·How the figures are calculated