Computer Algorithm Better Than Doctors at Documenting Red Flag Symptoms in Patients Skip to main content Close Select your preferred language English عربى 简体中文 繁體中文 فارسي עִברִית 日本語 한국어 Русский Español Tagalog Menu Close Call 1-800-CEDARS-1 toggle search form Close 13 August 2015 05:26 AM America/Los_Angeles Computer Algorithm Better Than Doctors at Documenting Red Flag Symptoms in Patients The Algorithm Developed by Cedars-Sinai Physician Investigators Reveals Vast Potential of Computer Technology to Improve Medical Care Contact: Duke Helfand Email: [email protected] Los Angeles - Aug. 13, 2015 – A computer algorithm did a better job than doctors at documenting 'red flag' symptoms among patients with gastrointestinal disorders, a Cedars-Sinai study has found, underscoring the potential of the technology to improve patient care. The algorithm, developed by investigators at Cedars-Sinai's Center for Outcomes Research and Education, identified more "alarm features" than did doctors who treated patients in GI clinics. The computer program also provided useful details about the onset, frequency and amount of symptoms such as blood in the stool or unintended weight loss. Investigators said their findings, published online by the International Journal of Medical Informatics, demonstrate how computers can complement – rather than replace – physicians in the exam room. The researchers explained that a red flag "checklist" of symptoms could serve as a useful tool to inform doctor-patient consultations. "In essence, this system could help doctors provide better care for their patients by identifying illnesses at earlier stages and providing treatment sooner," said Christopher V. Almario, MD, MSHPM, the study's lead author and a research scientist in the outcomes research center. The study said that GI doctors may be underreporting red flag symptoms partly because physicians with other clinical and administrative tasks don't have enough time to fully inquire about symptoms with each patient. The study did not say whether improved identification of symptoms leads to better patient outcomes. This is the second study from the Cedars-Sinai research center into the use of computers as a tool for clinical care. A companion study last year showed that the same algorithm was more effective than doctors at creating complete and organized patient medical histories. Both studies drew on the same group of patients with a variety of active GI symptoms, including abdominal pain, heartburn, reflux, nausea, vomiting, constipation and diarrhea. For the studies, patients initially visited doctors and later answered questions about their conditions on a website called My GI Health. The investigators said the pair of studies highlights the enormous potential of computers to give doctors a valuable hand with patients. "This is where digital health is at its best, by offering a simple yet compelling way to take better care of patients," said Brennan Spiegel, MD, MSHS, director of Health Services Research at Cedars-Sinai and director of the Center for Outcomes Research and Education. "Patients want to know that their doctor will ask all the right questions and detect anything serious. But sometimes even doctors need digital aids to support their knowledge and intuition." Share this release Computer Algorithm Better Than Doctors at Documenting Red Flag Symptoms in Patients Share on: Twitter Share on: Facebook Share on: LinkedIn Search Our Newsroom Social media Visit our Facebook page (opens in new window) Follow us on Twitter (opens in new window) Visit our Youtube profile (opens in new window) (opens in new window) Latest news 07 Oct 2022 - HealthDay: Black Women Less Likely to Get Laparoscopic Fibroid Surgeries 07 Oct 2022 - Faculty Publications: Sept. 29-Oct. 6 07 Oct 2022 - Fine-Tuning Organ-Chip Technology 06 Oct 2022 - KCRW: Want New Omicron Booster? Wait at Least 2 Months After Last Shot 05 Oct 2022 - Cedars-Sinai Schedules Free Flu Vaccine Clinics 04 Oct 2022 - Cedars-Sinai Showcases Hispanic and Latinx Art Newsroom Home