# US 11,443,854 B2 · Identifying potential medicinal interactions for online clinical trial study groups > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,443,854 B2 - Document ID: US11443854B2 - Status: Granted - Kind: B2 - Application number: 16/799,249 - Filed: 2020-02-24 - Published: 2021-08-26 - Granted: 2022-09-13 - Earliest claimed: 2020-02-24 - Assignees: International Business Machines Corporation - Applicants: International Business Machines Corporation - Inventors: Anca Sailer; Kevin Paul Julier; Ajay Mohindra; Mujeebur Rahman - Web page: https://patentgrep.com/patent/US11443854B2 ## CPC - G06Q 10/40: Business processes related to social networking or social networking services - A61B 5/4848: {Monitoring or testing the effects of treatment, e.g. of medication} - G06F 16/9536: Search customisation based on social or collaborative filtering - G06Q 10/42: Determination of affinities or common interests between users - G16H 10/20: for electronic clinical trials or questionnaires - G16H 10/60: for patient-specific data, e.g. for electronic patient records - G16H 15/00: ICT specially adapted for medical reports, e.g. generation or transmission thereof - G16H 20/10: relating to drugs or medications, e.g. for ensuring correct administration to patients - G16H 20/90: relating to alternative medicines, e.g. homeopathy or oriental medicines - G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients - G16H 70/40: relating to drugs, e.g. their side effects or intended usage - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract Techniques are provided for identifying interactions between natural medicines and modern medicines. A corpus of information is analyzed pertaining to interactions of natural medicines with modern medicines for treating a condition. A mapping is created, wherein natural medicines are mapped to modern medicines for treating the condition. An on-line clinical trial study group is created, allowing participation by users, wherein a participation in a group is allowed for a selected set of users based on a group medication usage profile. Information from participants in each group is collected, and the collected information is analyzed. ## Claims ### Claim 1 A method for monitoring usage of a medicine comprising: analyzing, via a processor, a corpus by natural language processing to extract information pertaining to interactions of natural medicines with modern medicines tailored to treat a medical condition, wherein the natural medicines include homeopathic and herbal remedies and the modern medicines include synthetic medicines; identifying, via the processor, a combination of three or more of the natural medicines and modern medicines associated with side effects of a user, wherein the identifying includes: determining that at least one of the natural medicines has an unknown ingredient; determining a plant from which the at least one natural medicine having the unknown ingredient is derived; and identifying the combination based on the side effects of the determined plant; determining by natural language processing of the corpus, via the processor, different sets of medicines derived from the combination, wherein the sets of medicines are associated with other users and include at least one set including the combination and one or more other natural or modern medicines and at least one set including a sub-combination of the combination; analyzing, via the processor, the determined sets of medicines from the corpus to identify sets of medicines having side effects corresponding to the combination and to determine sets of medicines without side effects; creating, via the processor, a mapping of the natural medicines to the modern medicines for treating the medical condition based on the combination and the identified sets of medicines, wherein creating the mapping comprises: generating an ontology comprising natural medicines, modern medicines, and user demographics; and anonymizing user identity and user medical characteristics of the ontology to allow data of the ontology to be analyzed without identifying user identities pertaining to the data; creating, via the processor, online clinical trial study groups of participants for a clinical trial by analyzing the data of the ontology to identify attributes of users reporting side effects without identifying corresponding user identities, wherein participation in an online clinical trial study group is allowed for a selected set of participants having attributes of users of one of the combination and an identified set of medicines; validating the side effects of the combination and the identified sets of medicines by conducting the clinical trial online, via the processor, and collecting information from participants in each online clinical trial study group; and reporting, via the processor, results of the collected information. ### Claim 2 (depends on 1) The method of claim 1, further comprising: providing a summary of the collected information, wherein side effects are ranked by frequency. ### Claim 3 (depends on 1) The method of claim 1, further comprising: establishing the online clinical trial study groups in an online forum in an automated manner. ### Claim 4 (depends on 1) The method of claim 1, wherein the corpus includes an online forum, a private database, a public database and/or a social media forum. ### Claim 5 (depends on 1) The method of claim 1, wherein the collected information includes adverse effects, beneficial effects, medicine profiles of the participants, and demographic information of the participants. ### Claim 6 (depends on 1) The method of claim 1, further comprising determining whether an effect between a modern medicine and a natural medicine is statistically significant among the participants in an online clinical trial study group. ### Claim 7 (depends on 1) The method of claim 1, further comprising: determining which combinations of natural medicine and modern medicine of a plurality of medicines consumed by users are statistically correlated with an effect. ### Claim 8 A computer system for monitoring usage of a medicine, the computer system comprising: one or more computer processors; one or more computer readable storage media; program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, the program instructions comprising instructions to: analyze a corpus by natural language processing to extract information pertaining to interactions of natural medicines with modern medicines tailored to treat a medical condition, wherein the natural medicines include homeopathic and herbal remedies and the modern medicines include synthetic medicines; identify a combination of three or more of the natural medicines and modern medicines associated with side effects of a user, wherein the identifying includes: determining that at least one of the natural medicines has an unknown ingredient; determining a plant from which the at least one natural medicine having the unknown ingredient is derived; and identifying the combination based on the side effects of the determined plant; determine by natural language processing of the corpus different sets of medicines derived from the combination, wherein the sets of medicines are associated with other users and include at least one set including the combination and one or more other natural or modern medicines and at least one set including a sub-combination of the combination; analyze the determined sets of medicines from the corpus to identify sets of medicines having side effects corresponding to the combination and to determine sets of medicines without side effects; create a mapping of the natural medicines to the modern medicines for treating the medical condition based on the combination and the identified sets of medicines, wherein creating the mapping comprises: generating an ontology comprising natural medicines, modern medicines, and user demographics; and anonymizing user identity and user medical characteristics of the ontology to allow data of the ontology to be analyzed without identifying user identities pertaining to the data; create online clinical trial study groups of participants for a clinical trial by analyzing the data of the ontology to identify attributes of users reporting side effects without identifying corresponding user identities, wherein participation in an online clinical trial study group is allowed for a selected set of participants having attributes of users of one of the combination and an identified set of medicines; validate the side effects of the combination and the identified sets of medicines by conducting the clinical trial online and collecting information from participants in each online clinical trial study group; and report results of the collected information. ### Claim 9 (depends on 8) The computer system of claim 8, wherein the program instructions further comprise instructions to provide a summary of the collected information, wherein side effects are ranked by frequency. ### Claim 10 (depends on 8) The computer system of claim 8, wherein the program instructions further comprise instructions to establish the online clinical trial study groups in an online forum in an automated manner. ### Claim 11 (depends on 8) The computer system of claim 8, wherein the program instructions further comprise instructions to determine whether an effect between a modern medicine and a natural medicine is statistically significant among the participants in an online clinical trial study group. ### Claim 12 (depends on 8) The computer system of claim 8, wherein the program instructions further comprise instructions to determine which combinations of natural medicine and modern medicine of a plurality of medicines consumed by users are statistically correlated with an effect. ### Claim 13 A computer program product for monitoring usage of a medicine, the computer program product comprising one or more computer readable storage media collectively having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to: analyze a corpus by natural language processing to extract information pertaining to interactions of natural medicines with modern medicines tailored to treat a medical condition, wherein the natural medicines include homeopathic and herbal remedies and the modern medicines include synthetic medicines; identify a combination of three or more of the natural medicines and modern medicines associated with side effects of a user, wherein the identifying includes: determining that at least one of the natural medicines has an unknown ingredient; determining a plant from which the at least one natural medicine having the unknown ingredient is derived; and identifying the combination based on the side effects of the determined plant; determine by natural language processing of the corpus different sets of medicines derived from the combination, wherein the sets of medicines are associated with other users and include at least one set including the combination and one or more other natural or modern medicines and at least one set including a sub-combination of the combination; analyze the determined sets of medicines from the corpus to identify sets of medicines having side effects corresponding to the combination and to determine sets of medicines without side effects; create a mapping of the natural medicines to the modern medicines for treating the medical condition based on the combination and the identified sets of medicines, wherein creating the mapping comprises: generating an ontology comprising natural medicines, modern medicines, and user demographics; and anonymizing user identity and user medical characteristics of the ontology to allow data of the ontology to be analyzed without identifying user identities pertaining to the data; create online clinical trial study groups of participants for a clinical trial by analyzing the data of the ontology to identify attributes of users reporting side effects without identifying corresponding user identities, wherein participation in an online clinical trial study group is allowed for a selected set of participants having attributes of users of one of the combination and an identified set of medicines; validate the side effects of the combination and the identified sets of medicines by conducting the clinical trial online and collecting information from participants in each online clinical trial study group; and report results of the collected information. ### Claim 14 (depends on 13) The computer program product of claim 13, wherein the program instructions further cause the computer to provide a summary of the collected information, wherein side effects are ranked by frequency. ### Claim 15 (depends on 13) The computer program product of claim 13, wherein the program instructions further cause the computer to determine whether an effect between a modern medicine and a natural medicine is statistically significant among the participants in an online clinical trial study group. ### Claim 16 (depends on 13) The computer program product of claim 13, wherein the program instructions further cause the computer to determine which combinations of natural medicine and modern medicine of a plurality of medicines consumed by users are statistically correlated with an effect.