Accenture Global Services Gmbh

Accenture Global Solutions Limited

Tom Geo Jain

Shubhashis Sengupta

Anutosh Maitra

Roshni Ramesh Ramnani

Vikrant Shyamkant Kaulgud

Madhura Shivaram

Annervaz Karukapadath Mohamedrasheed

Neetu Pathak

Vedamati Sahu

Hitanshu Rakeshkumar Tiwari

Debapriya Banerjee

In the pharmaceutical research and development process, it may be necessary to process large amounts of medical records or clinical literature, to ensure safety of patients consuming a drug. A pharmacovigilance system may assist in this process by efficiently and automatically processing medical records to extract information and relationships contained therein and may also form a preliminary assessment regarding a medical or clinical judgment. The pharmacovigilance system may automatically generate reports based on this information, which may be validated by trained clinicians and medical experts.

System for automated analysis of clinical text for pharmacovigilance

A device may receive, from a user device, an implicit search request identifying a resource accessed by a user of the user device. Based on properties defined in a user role and a rule identified in context configuration information, the device may determine an intent associated with the user and a context associated with the intent and the resource accessed by the user. The device may send, based on query options identified in search configuration information, a search query identifying search criteria associated with the context, and may receive a search response identifying available resources that satisfy the search criteria. The device may determine a probability, for each of the available resources, that the available resource matches the context, identify a portion of the search response based on the probabilities, and send the portion to the user device.

Automatic assistance for resource reuse based on context extracted from a user workspace

A device may receive a first textual document and a set of second textual documents. The first textual document may identify parameters. The device may process the first textual document, based on a natural language processing algorithm, to identify first values corresponding to the parameters. The device may process the plurality of second textual documents, based on the natural language processing algorithm, to identify second values corresponding to the parameters. Each of the plurality of second textual documents may be associated with one or more respective second values of the second values. The device may determine scores for the plurality of second textual documents. A score may be determined based on comparing one or more of the first values to one or more of the second values associated with a second textual document. The device may provide information identifying the plurality of second textual documents and the scores.

Scoring documents

Growing community of inventors

Bengaluru, India

Tom Geo Jain