Capabilities ofArtificial Intelligence Models in Externation Decision of Patient Who Followed in Intensive Care Unit ()

Launched by KANUNI SULTAN SULEYMAN TRAINING AND RESEARCH HOSPITAL · Sep 3, 2024

Keywords

ClinConnect Summary

This clinical trial is studying how well artificial intelligence (AI) models, specifically ChatGPT and Gemini, can help doctors decide when it's safe for patients to leave the Intensive Care Unit (ICU) and move to a regular hospital ward or go home. Making the right call on when to discharge a patient is very important because it affects their recovery and how efficiently the ICU operates. The goal of the study is to see if these AI models can make these discharge decisions faster and more accurately than traditional methods used by healthcare professionals.

To participate in the trial, patients need to be at least 18 years old and currently receiving care in the ICU. They should have enough medical information available for the study to assess their condition. If patients are chosen to participate, doctors will compare the AI's recommendations with their own decisions to see how well the AI performs. This research could lead to better tools for managing patient care in the ICU, helping to ensure that patients receive the best possible treatment and that hospital resources are used effectively.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Patients aged 18 years or older.
• • Patients currently admitted to the Intensive Care Unit (ICU) during the study -period.
• • Patients with sufficient clinical data available in the hospital\'s information system, including demographic information, clinical indicators, and treatment history.
• • Patients for whom a discharge decision (to a general ward or home) needs to be made during their ICU stay.
• Exclusion Criteria:
• • Patients younger than 18 years old. Patients with incomplete or insufficient clinical data in the hospital\'s information system, making it difficult to assess their condition accurately.
• • Patients who are in the ICU for palliative care or end-of-life care, where discharge to a general ward or home is not anticipated.
• • Patients who have opted out of participating in the study or whose legal representatives have declined participation.