Methods and compositions for diagnosing chronic kidney disease and assessing the risk of disease progression, as well as methods of screening for molecular biomarkers useful for diagnosing the likelihood of disease progression, are provided.
Electronic Phenotyping Technique For Diagnosing Chronic Kidney Disease
- New York NY, US Omri Gottesman - New York NY, US Stephen Bartlett Ellis - Long Island City NY, US Erwin Bottinger - New Rochelle NY, US
International Classification:
G06F 19/00 A61B 5/20 A61B 5/00
Abstract:
An example method of diagnosing chronic kidney disease (CKD) includes obtaining an electronic medical record for a patient having medical data. The medical data includes an indication if the patient had been previously diagnosed with CKD, an indication if the patient had previously undergone a kidney transplant, an indication if the patient had previously undergone a renal dialysis procedure, an indication if the patient had previously been diagnosed with another type of kidney disease, one or more glomerular filtration rate (GFR) measurements associated with the patient, an indication if the patient has type 2 diabetes, and/or an indication if the patient has hypertension. The method also includes automatically determining that the patient has CKD or does not have CKD based on the medical data in the electronic record.
System And Methods For Personalized Clinical Decision Support Tools
- White Plains NY, US Omri Gottesman - New York NY, US Erwin Bottinger - White Plains NY, US
Assignee:
Ontomics, Inc. - White Plains NY
International Classification:
G06F 19/00
US Classification:
705 2
Abstract:
The use of a medical software platform to collect, normalize, and aggregate clinical data. Supports clinical care and provides research and clinical tools for institutions, healthcare providers, researchers, and patients. The invention provides a graphical interface to customize searches in the database for specified subsets of conditions, treatments or outcomes. The invention also provides a system and method for searching through clinical databases for desired terms which may provide additional information to a physician regarding patient care. Furthermore, this invention facilitates personalized medicine-based practices as relationships between genetics, personal heath data from multiple sources, disease risk and drug response can be more easily visualized and utilized for patient care and research.
Albert Einstein College of Medicine May 1, 1997 - Jan 1, 2004
Associate Professor
The Mount Sinai Hospital May 1, 1997 - Jan 1, 2004
Professor
National Cancer Institute (Nci) Aug 1, 1993 - May 1, 1997
Visiting Scientist
Education:
Friedrich - Alexander University Erlangen - Nuremberg 1979 - 1986
Doctor of Medicine, Doctorates, Medicine
Skills:
Molecular Biology Cell Biology Translational Medicine Innovation Healthcare Genomics Leadership
Interests:
Health Science and Technology Education Personalized Healthcare
Languages:
German English French
Googleplus
Erwin Bottinger
Lived:
New Rochelle, New York Untergreuth, Germany Erlangen, New York City, Boston, Washington D.C., Bethesda,
Work:
Mount Sinai School of Medicine - Professor of Medicine Harvard Medical School, National Institutes of Health, Cabrinin Medical Center