DR. MARTIN JOEL COYNE, M.D.
Ambulatory Health at Broadway, Santa Monica, CA
License number
California G20694
Category
Ambulatory Health
Type
Multi-Specialty
Address
Address
2
520 Broadway SUITE 350, Santa Monica, CA 90401
726 N Elm Dr, Beverly Hills, CA 90210
726 N Elm Dr, Beverly Hills, CA 90210
Phone
(310) 663-6763
Professional information
Martin Joel Coyne, Santa Monica CA
Specialties:
Gastroenterologist
Address:
520 Broadway, Santa Monica, CA 90401
Education:
Boston University, School of Medicine - Doctor of Medicine
Board certifications:
American Board of Internal Medicine Certification in Internal Medicine, American Board of Internal Medicine Sub-certificate in Gastroenterology (Internal Medicine)
Dr. Martin J Coyne, Santa Monica CA - MD (Doctor of Medicine)
Specialties:
Gastroenterology
Address:
520 Broadway STE 350, Santa Monica 90401
(310) 663-6763 (Phone)
(310) 663-6763 (Phone)
Certifications:
Gastroenterology, 1975, Internal Medicine, 1973
Awards:
Healthgrades Honor Roll
Languages:
English
Education:
Medical School
Boston University School of Medicine
Boston University School of Medicine
Inpatient Utilization Management System And Method
US Patent:
2011029, Dec 1, 2011
Filed:
May 28, 2010
Appl. No.:
12/802106
Inventors:
Martin Coyne - Santa Monica CA, US
International Classification:
G06Q 50/00, G06Q 10/00
US Classification:
705 2
Abstract:
A method for admitting a patient includes creating an inpatient value set by collecting a respective value for each of a plurality of datapoints about the patient. The inpatient value set can then be compared with an historical dataset, the dataset representing a plurality of other patients each having a respective corresponding value set for the plurality of datapoints associated with a respective set of utilization management information. Based on the comparison, a particular set of utilization management information that is associated with a particular corresponding value set which is substantially the same as the inpatient value set is identified within the historical dataset. Ultimately, based on the particular set of utilization management information, a predicted length of stay for the patient is calculated.