Development of a Multipurpose Dashboard to Monitor the Situation of Emergency Departments

NCT06372379 | Not Yet Recruiting

• 1 other identifier: 8780_UC2
• Study Type: observational
• Target: 162,000
• Locations: 0 countries
• Sites: N/A

Brief Summary

An emergency department (ED) is a healthcare service that provides the first clinical assessment and treatment to patients with various acute conditions. These departments, however, are often overwhelmed by the large volume of patients. As a consequence, ED crowding has become a global concern and has been correlated to reduced timeliness and effectiveness of care and increased patient mortality. Concerning input, 20% to 30% of patients are brought to the ED by ambulance; the remaining are self-presenting for the vast majority. Notably, non-urgent conditions characterize a high proportion of all ED visits worldwide, and almost all of these visits involve self-presenting patients. Increasing the awareness of these patients about the mandate of EDs and the real-time situation of the neighboring emergency departments has the potential to reduce the self-presentation of patients with minor, non-urgent conditions. Such patient empowerment can be achieved through a dashboard. Concerning throughput, working in the ED requires emergency physicians and nurses to treat many patients at once while maintaining situational awareness of the surroundings. This is especially true for the head of the department, but it also holds for all physicians. It can be crucial, for example, for physicians to know if there is a bottleneck in the flow of the entire patient care process, such as a particularly high average waiting time for radiology reporting or cardiologic consultation. The availability of this information allows countermeasures to be put in place to regain efficiency. All this can be achieved through dedicated dashboards automatically fed from various information system. In addition, appropriate dashboards also enable health policymakers to monitor specific epidemiological phenomena, such as the emergence of certain infectious diseases, in a timely manner.

Conditions

Emergency Medicine

Outcome Measures

Primary Outcomes (1)

• Daschboards

  Develop three different control panels for three different end-users, specifically: 1. Dashboard for citizens 2. Dashboard for healthcare providers 3. Dashboard for healthcare policymakers The aim is to extract the needed information from heterogeneous sources and to feed the dashboards according to the needs of the end-users. On the whole, for citizens, the dashboard will be designed to empower them to choose the most appropriate ED to attend or to consider a different, more relevant or more efficient, health service; for healthcare providers, the dashboard will provide a clear and immediate picture of the ED situation in terms of patient flow and workflow; for healthcare policymakers, the dashboard will provide the ability to monitor specific phenomena of interest, such as ED crowding level, possible incidence of pre-specified epidemiological phenomena, availability and timeliness of primary and secondary patient transfers, ambulance offload delays, etc.

  September 2024 - September 2027

Study Arms (1)

Adults who attended the emergency department

Other: no intervention

Interventions

no intervention OTHER

no intervention

Adults who attended the emergency department

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

All adult patients who arrived at participating emergency departments between January 1, 2025 and December 31, 2025

You may qualify if:

• Adult
• Arrived at emergency department between 1 January 2025 and 31 December 2025

You may not qualify if:

• \- None

Sponsors & Collaborators

• Mario Negri Institute for Pharmacological Research: lead
• Astir S.r.l.: collaborator
• Orobix Life S.r.l.: collaborator
• Fondazione Bruno Kessler: collaborator

Study Officials

• Guido Bertolini, MD

  Istituto Di Ricerche Farmacologiche Mario Negri

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Chiara Pandolfini

CONTACT

0039 02 39014 253; chiara.pandolfini@marionegri.it

Giulia Ghilardi

CONTACT

0039 035 4535 389; giulia_irene.ghilardi@marionegri.it

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: April 9, 2024
• First Posted: April 18, 2024
• Study Start: January 1, 2026
• Primary Completion (Estimated): June 1, 2026
• Study Completion (Estimated): February 1, 2027
• Last Updated: May 13, 2025

Record last verified: 2025-05

Data Sharing

• IPD Sharing: Will share
• Shared Documents: STUDY PROTOCOL