DR. ROBERT L ROBINSON, M.D.
Osteopathic Medicine at Rutledge St, Springfield, IL

License number
Illinois 431912860
Category
Osteopathic Medicine
Type
Internal Medicine
Address
Address
751 N Rutledge St SUITE 1100, Springfield, IL 62702
Phone
(217) 545-0182
(217) 545-4735 (Fax)

Professional information

Robert L Robinson Photo 1

Dr. Robert L Robinson, Springfield IL - MD (Doctor of Medicine)

Specialties:
Hospital Medicine, Internal Medicine
Address:
SIU Healthcare Administrative Offices
751 N Rutledge St, Springfield 62702
(217) 545-3821 (Phone)
Procedures:
Hospitalist Medicine
Conditions:
Asthma, Copd (Chronic Obstructive Pulmonary Disease), Diabetes, Heart Disease, Heart Failure, Hypertension (High Blood Pressure), Pneumonia
Certifications:
Internal Medicine
Awards:
Healthgrades Honor Roll
Languages:
English
Hospitals:
SIU Healthcare Administrative Offices
751 N Rutledge St, Springfield 62702
Memorial Medical Center
701 North 1St St, Springfield 62781
Saint Johns Hospital
800 East Carpenter St, Springfield 62769
Education:
Medical School
Southern Illinois University At Edwardsville
Siu School Of Medicine
Graduated: 2003


Robert Leonard Robinson Photo 2

Robert Leonard Robinson, Springfield IL

Specialties:
Hospitalist, Internal Medicine
Work:
Hospitalist
Siu School Of Medicine, Troy, IL 62294
Education:
Southern Illinois University (2000) Internal Medicine


Robert Leonard Robinson Photo 3

Robert Leonard Robinson, Springfield IL

Specialties:
Internist
Address:
751 N Rutledge St, Springfield, IL 62702
Education:
Doctor of Medicine
Board certifications:
American Board of Internal Medicine Certification in Internal Medicine


Robert Robinson Photo 4

Selection Of Optimal Medication Methodology (Soomm)

US Patent:
2003017, Sep 11, 2003
Filed:
Jan 22, 2002
Appl. No.:
10/054504
Inventors:
Ralph Leonard - New Haven CT, US
Robert Robinson - Springfield IL, US
International Classification:
A61B005/00, G06F017/60
US Classification:
600/300000, 705/002000
Abstract:
The process by which a clinician selects what s/he thinks is the best medication for a patient with a given disease is at best an estimation of the myriad of risks and benefits each may have, and at worst a subjective guess. Because of burgeoning classes of medications and their members, the associated risks and benefits of each class and medication, and the addition of external medical guidelines, this task is becoming very difficult and at times dangerous. We describe a process that allows one to approach this problem in a systematic, quantitatively objective manner and include any number of facts and decision rules without relying solely on complex algorithms. The process easily accommodates fact revisions without redesigning algorithms, thus updates quickly. Although intuitive, the process would be very tedious to do manually but lends itself well to automated computations and medical software.