CLEOS – AI Technology Project with Focus on Patient Medical History
CLEOS is a knowledge based decision support system where the patient interacts direct with the software through a tablet or computer. CLEOS collects patient symptoms and medical history, it summarizes and analyses the result and gives differential diagnostic suggestions to responsible physician.
The CLEOS Project
The purpose with CLEOS is to improve quality and use of the patients’ medical history and advance the physician’s ability to give the right diagnosis and therapy.
The ultimate goal is do decrease the morbidity and mortality among patients.
The quality of collected data is improved, partly due to standardized collection methods. Also, due to that bias is limited through that the patient interacts directly with the software; instead of present situation, where what data that is entered in the medical record is dependant on what the healthcare personnel decided what is important.
Chest Pain Danderyd Study
Computerized collection of patient medical history of patients with chest pain at the emergency unit. Doctoral project with overall research aim to assess whether computerized, patient-reported history-taking with CLEOS can improve the management of chest pain in the emergency department by reducing the time to acute coronary syndrome (ACS) diagnosis (e.g. heart infarction), improving the diagnostic accuracy and use of resources.
Helge Brandberg at the Department of Clinical Sciences, is integrating CLEOS in his research at Danderyd Hospital.
[Medical history taking via computer can provide better care and research].
Zakim D, Alscher MD, Schwab M, Schwalm B, Sundberg CJ
Development and significance of automated history-taking software for clinical medicine, clinical research and basic medical science.
J. Intern. Med. 2016 09;280(3):287-99
Data collection as a barrier to personalized medicine.
Zakim D, Schwab M
Trends Pharmacol. Sci. 2015 Feb;36(2):68-71
Underutilization of information and knowledge in everyday medical practice: evaluation of a computer-based solution.
Zakim D, Braun N, Fritz P, Alscher MD
BMC Med Inform Decis Mak 2008 Nov;8():50