Spotlight - CORONET COVID-19 Risk in ONcology Evaluation Tool
CORONET is an online tool to support decisions regarding hospital admissions or discharge in cancer patients presenting with symptoms of COVID-19 and the likely severity of illness.
- What does CORONET do? - it asks for some details about the patient, their cancer and blood test results on presentation to hospital with symptoms of COVID-19. It then uses data about the admission, requirement for oxygen and survival of similar patients in the past to show likely outcome of the patient.
- Who is CORONET for? - it is intended for use by health care professionals or by patients and their families in consultation with a medical professional.
- Limitations - CORONET is based on data from cancer patients presenting with COVID-19. It is designed to support decisions as to whether patients should be admitted due to COVID-19 but not for a cancer related problem. Of note it does not take into account new treatments for COVID-19, which may alter the clinical course - this will be a feature that will be added in future versions.
This is an early version that is likely to change. The model is currently undergoing peer review and we would be grateful for feedback as to utility of this tool (email the-christie.coronet@nhs.net or tweet @beckilee @CORONET). It should not be used for patient management currently (pending peer review). Detailed information as to how the tool was created can be found in the pre-print on medRxiv.
Dear colleague,We would like to invite you to take part in an online experiment, which is a part of our study aiming in evaluating your satisfaction and experience when using CORONET (COVID-19 Risk in ONcology Evaluation Tool)CORONET is an online tool to support decisions regarding hospital admissions or discharge in cancer patients presenting with symptoms of COVID-19 and the likely severity of illness. It is based on real world patient data. Importantly CORONET will only advise on COVID-19 related problems not decisions regarding admission for oncology related reasons.CORONET asks for some details about the patient, their cancer and blood test results on presentation to hospital with symptoms of COVID-19. It then uses data about the admission, requirement for oxygen and survival of similar patients in the past to show likely outcome of the patient.CORONET is intended for use by health care professionals or by patients and their families in consultation with a medical professional. However, it is designed to support decisions as to whether patients should be admitted due to COVID-19 but not for a cancer related problem. Of note it does not take into account new treatments for COVID-19, which may alter the clinical course - this will be a feature that will be added in future versions.Your input will be substantial in evaluating the value of CORONET as the online decision support tool and will help us to improve it, leading to better cancer patient care. Of note, our study is one of the first investigating AI based tools in a real application in healthcare and aims to put a foundation for better understanding the aspect of ‘trust’ when the clinician interacts with AI based system.The experiment requires 10-20 min of your time. It comprises five steps:
The data for 10 artificial (not real-world) patients will be provided.The link to the survey is here https://www.qualtrics.manchester.ac.uk/jfe/form/SV_eeNJU1skDoYNJ5A |