International Business Machines Corporation

Kevin Paul Julier

Anca Sailer

Ajay Mohindra

Mujeebur Rahman

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.

Identifying potential medicinal interactions for online clinical trial study groups

Aspects of the present disclosure relate to medical treatment management. Medical data associated with a user is received. A medical condition of the user is identified based on the medical data. Object data of a plurality of objects in a vicinity of the user is received. The object data is analyzed to determine an identity and characteristics of each object of the plurality of objects. The plurality of objects are compared to medical tools in a medical database using the characteristics within the object data. A subset of objects matching to respective medical tools are then identified. A medical procedure utilizing at least one object of the subset of objects to address the medical condition is identified. A recommendation is then transmitted that the medical procedure should be used to address the medical condition using the at least one object.

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Ridgefield, CT, United States of America

Kevin Paul Julier