Browse Prior Art Database

A Method and System for Precision Drug Dosing

IP.com Disclosure Number: IPCOM000247548D
Publication Date: 2016-Sep-15
Document File: 3 page(s) / 64K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system is disclosed for precision drug dosing. The method and system utilizes a clinical decision support system to provide advices to clinicians and patients for optimizing drug dosage on a personalized basis.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 51% of the total text.

Page 01 of 3

A Method and System for Precision Drug Dosing

Disclosed is a method and system for precision drug dosing. The method and system utilizes a clinical decision support system to provide advices to clinicians and patients for optimizing drug dosage within the body or a part of the body of an individual patient on a personalized basis.

In accordance with an embodiment, the method and system provides decision support to individual patient and optimize drug dosing based on input data. Here, the input data can be collected from a group, which may include, but need not be limited to, patient information, drug information, disease related information, and various external repositories and the like. The patient data may include, but need not be limited to, age, sex, race, body weight, body mass index, percentage of body fat, urine production rate, fluid intake rate, active disease nature, severity and duration, background medical information and the like. Similarly, the drug information may include, but need not be limited to, pharmacokinetics and pharmacodynamics such as bioavailability, volume of distribution, degree of protein binding and the like. The disease related information may include, but need not be limited to, organ and tissue involvement, recommended treatments and protocols to use, natural history and the like. Further, in case of pathogen data includes preferred treatments, drug concentration, persistence patterns, target body tissues and organs and the like. The external repositories may include, but need not be limited to, electronic health record system, electronic drug information repositories and the like.

Subsequently, the method and system predicts ideal dosage of drug by inferring from instance where the drug concentration is measured by using a machine learning algorithm. The method and system performs prediction of a personalized optimal drug dosage by using an analysis algorithm that relies on patient similarity matrix and drug similarity matrix.

Further, the method and system recommends a drug dosage with a target drug concentration at one or more points in time in the future and patient features. The output drug dose generated is a predicted drug concentration at one or more points in time in the future for a given prescribed dose and patient features. Later, th...