US10296714B2 – May 21, 2019 – Method and system for medical cannabinoid treatment and product selection

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Inventors :

Boris Goldstein; David Goldstein; Milla Bakhareva

Owner :

POTBOTICS, INC., NEW YORK

Application Number :

US15153404

Document Number :

US10296714B2

Priority Date :

May 12, 2016

Filing Date :

May 12, 2016

Date of Grant/ Publication :

May 21, 2019

Class :

; G06N5 / 02; G06F19 / 00; G06F17 / 27; G06F17 / 28

Abstract

This invention provides a computer method and system for interactive administration of medical cannabinoid treatments. The invention also provides information on cannabinoid product availability and geographical information. Medical professionals, cannabis growers, cannabis manufacturers, and other stakeholders can use this computer method and system to study trends, efficacy, and other information pertinent to the medical cannabis market.

Claim(s)

1. A method to provide medical cannabis diagnosis, treatment, research, market analysis, production decision, and policy making, comprising: displaying questions in natural language and receiving answers from a user at a user interface, wherein the questions are adapted to the user and the user is selected from a group consisting of a medical cannabis user, a medical professional, a cannabis grower, a cannabis producer, a cannabis manufacturer, and a cannabis salesperson; converting the answers to computer readable data using a natural language processor; collecting metadata from the computer readable data; processing the computer readable data based on a set of rules, the set of rules is medical practices for certain conditions, consumer statistics, clinical study results, effects of specific cannabinoids, cannabinoid ratios of certain marijuana strains, drug interactions, counter indications, or co-morbid conditions and based on metadata collected to produce received computer readable data; receiving computer-readable data from at least one outside source, wherein the at least one outside source provides information on medical conditions, biomedical vocabulary, specific strains of medical marijuana and their cannabinoid ratios, variations among the strains, products made from the specific strains; methods for administration, recommended medical conditions for each medical marijuana strains, cannabinoid ratios, relationships between medical conditions and marijuana strains or cannabinoids, availability of products in each geographic area, or availability of medical services relating to medical marijuana or cannabinoid treatments; processing the received computer readable data using computer-readable data from outside sources to produce at least one output; converting the at least one output into natural language using a natural language processor; and displaying the at least one output in natural language at the user interface, wherein the user interface is a computing article and the computing article is a desktop computer, a laptop computer, a smart phone, a tablet, or a kiosk computer, and wherein the natural language processor is configured to convert natural language to computer readable data and convert computer readable data into natural language.;
8. A computer-based system for medical cannabis diagnosis, treatment, market analysis, production decision, and policy making, the system comprising: an article of manufacture comprising computer-readable storage media having processor executable instructions stored thereon; at least one user interface module provided on a computer article, the computing article is a desktop computer, a laptop computer, a smart phone, a tablet, or a kiosk computer; a first software to serve as the basis for the user interface module that, when executed by one or more processors, displays questions to users on the at least one user interface, the questions adapted for a group consisting of medical cannabis users, medical professionals, cannabis growers, cannabis producers, cannabis manufacturers, and cannabis salespersons; at least one natural language processor to process user input into computer readable data and process computer readable data produced from software in the computer-based system to natural language, wherein the natural language processor processes or receives information from the user interface module and from the software; a second software to serve as the single point data analysis that, when executed by one or more processors, directs the one or more processors to: receive computer readable data from the at least one natural language processor; process data received based on a set of rules, the set of rules is medical practices for certain conditions, consumer statistics, clinical study results, effects of specific cannabinoids, cannabinoid ratios of certain marijuana strains, drug interactions, counter indications, or co-morbid conditions; collect metadata from the computer readable data and use this metadata to process data received; aggregate received data to analyze for trends in long-term effects, health impact, side effects of using medical cannabis, or consumers’ choices; share aggregated data with outside sources; provide information to cannabis medical cannabis users, medical professionals, cannabis growers, cannabis producers, cannabis manufacturers, or cannabis salespersons; and a third software to serve as the knowledge source that, when executed by one or more processors, directs the one or more processors to: receive computer-readable data from the second software; receive computer-readable data from outside sources, wherein the outside sources provide information on medical conditions, biomedical vocabulary, specific strains of medical marijuana and their cannabinoid ratios; variations among the strains; products made from the specific strains; methods for administration; recommended medical conditions for each medical marijuana strains, cannabinoid ratios; relationships between medical conditions and marijuana strains or cannabinoids; availability of products in each geographic area; and availability of medical services relating to medical marijuana or cannabinoid treatments; and process data received from the second software and the outside sources; and provide processed data to the natural language processor.

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