Development of a patient prognosis prediction model using prehospital information and emergency room data

Development of a patient prognosis prediction model using prehospital information and emergency room data - Development of a patient prognosis prediction model using prehospital information and emergency room data

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000046759

Enrollment

50000

Registered

2022-01-28

Start date

2022-01-28

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

All patients transported to the emergency room at the Collaborative Research Facility

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: All patients who were transported to the emergency room of the collaborating institutions from the date when each institution introduced NSER to March 2024 will be included.

Exclusion criteria

Exclusion criteria: Patients who have expressed their refusal to allow their clinical data to be used in research according to the requirements of the opt-out (but not if their personal information has already been removed and they cannot be identified). The opt-out will be available in the emergency room of each collaborating institution, on the institution's webpage, and on TXP Medical's webpage.

Design outcomes

Primary

Measure	Time frame
Agreement between the severity reported by the emergency services and the actual severity	—

Countries

Japan

Contacts

Public ContactKEIBUN LIU

The Prince Charles Hospital Critical Care Research Group

keiliu0406@gmail.com080-4790-7701

Outcome results