Describe capability
Record availability, operational hours, staffing, procurement, funding, governance, training, and audit arrangements.
European environmental scan
Is your emergency surgery service ready for what comes next?
EGS-READI maps how emergency general surgery centres access, govern, and use digital and imaging technologies in routine care.
Anonymous centre-level responses · no patient data collected
Study team
Gary A Bass (CESOR, University of Pennsylvania, Philadelphia, USA) · Ana Maria Gonzalez-Castillo (Barcelona, Spain) · Hayato Kurihara (Milan, Italy) · Mauro Zago (Italy) · Olga Rutka (Liverpool, UK) · Matti Tolonen (Helsinki, Finland) · Stefano PB Cioffi (Milan, Italy) · Michel Altomare (Milan, Italy) · Octavian Andronic (Bucharest, Romania) · Krstina Doklestic (Belgrade, Serbia) · Eduardo Perea Del Pozo (Seville, Spain) · Diego Mariani (Milan, Italy) · Isidro Martinez-Casas (Seville, Spain).
Center-levelAnswer for your institution.
Cross-countryMake variation visible.
DescriptiveMap readiness without patient-level inference.
ActionableSupport future investment and implementation.
Why this matters
A clear picture of system readiness
Technology-specific studies tell only part of the story. EGS-READI describes the structures that determine whether a service can adopt, sustain, and use enabling technologies safely and equitably.
Understand digital maturity
Show how real-time data access, EHR integration, and structured perioperative pathways differ between services.
Inform the next step
Identify capability gaps and centres interested in future implementation studies or collaborative snapshot audits.
What the survey covers
Five views of emergency general surgery readiness
One response should represent the institution’s capability, not an individual clinician’s personal practice.
Imaging adjunct
ICG fluorescence
Availability, use, funding, training, governance, and 24/7 operational access.
Operative technology
Emergency robotic surgery
Infrastructure, staffing, credentialing, case mix, and practical readiness for urgent use.
Decision support
AI-assisted imaging
Imaging interpretation, prediction tools, interoperability, governance, and perceived value.
Perioperative systems
Digital pathways
Structured pathways, risk stratification, EHR integration, dashboards, and implementation maturity.
Benchmark capability
Emergency laparoscopy
A comparator for operative infrastructure, equipment reliability, staffing, and workflow maturity.
Live aggregate view
What the network is reporting
Approved, deidentified REDCap summaries are refreshed here as the survey dashboard changes. The view stays at centre level and contains no patient-level data.
Loading the latest approved response summary.
EGS-READI REDCap dashboard · Last refresh: Updating
Responses receivedNot reported
Countries representedNot reported
Technology domains5
Country
Responses by country
Markers show the number of completed centre responses grouped by country. Non-responding countries remain visible in a neutral layer.
Country-level responses will appear here when available.
Response countryNo response reportedEurope-focused · approximate centroids
Service profile
Type of hospital
Institutional setting reported by participating respondents.
Counts are reported in aggregate.
Technology readiness
Availability across the five domains
Each row shows the current reported status of one enabling technology or benchmark capability.
Not availableRoutine practiceSelective usePlanned
The page reads only approved aggregate fields from the public dashboard and fails closed when a current release is unavailable.
Add your centre’s perspective
One survey. A stronger European evidence base.
The survey is intended for surgeons and EGS leads who can describe their institution’s current capability. Responses are anonymous unless contact details are volunteered for future work.
Study governance
A center-level environmental scan
EGS-READI is a non-interventional survey of institutional infrastructure, governance, funding pathways, and digital capability. It does not involve patients or collect individual-level clinician data.
Study lead: Gary A Bass, MD MSc MBA PhD MRCS MRCSI FICS FEBS (Em Surg).