About this trial
Combining retrospective observational research with artificial intelligence data engineering. Collecting historical electronic medical record data, and through data governance and annotation by artificial medical experts, constructing a structured knowledge base.
Eligibility criteria
Qualifiers
Real inpatient cases of pancreatic cancer diagnosis and treatment;
Prioritize the inclusion of cases with MDT discussion records, difficult and complex cases, and fatal cases;
Possess complete electronic medical information (including but not limited to: outpatient medical records, inpatient medical records including admission records, progress notes, surgery/procedure records, nursing records, examination and test reports, doctor's orders, discharge/death records, etc.); -
Disqualifiers
Cases that only underwent a brief transition in emergency/outpatient departments and did not form a closed loop of diagnosis and treatment;
Cases with incomplete diagnosis and treatment information and missing key indicators.
Trial design
Treatments tested in this trial
- Not listed