Identifying potential medicinal interactions for online clinical trial study groups

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.

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.