Truveta, Inc.

Jayaram Nanduri

Cezary Antoni Marcjan

Saman Zarandioon

Nishant Gopalakrishnan

Oscar Papel

Swarna Subash

Eugene Songwhan Shinn

Srinivas R Burugapalli

Ramesh Kolavennu

Patricia Cuplin

Mehrdad Biglari

Terry Myerson

Wing Tsui

Senthil Nachimuthu

Systems and methods for data normalization are disclosed. The disclosed systems and methods train one or more machine learning model based on a plurality of annotated records and apply these trained models to new or updated records. The models are configured to analyze the records and generate classifications or concepts from the records and corresponding confidence scores. If the confidence scores exceed a threshold, the corresponding classifications or concepts are appended to the appropriate record.

Systems and methods for data normalization

Systems and methods for de-identifying patient data are disclosed herein. In some embodiments, a method for de-identifying patient data includes receiving a patient record including one or more identifiers. The method can include generating a first de-identified record from the patient record using a first de-identification process. The first de-identification process can be configured to produce a first re-identification risk score. The method can further include receiving a request from a data recipient to access the first de-identified record. The method can also include generating a second de-identified record from the first de-identified record by using a second de-identification process. The second de-identification process can be configured to produce a second re-identification risk score lower than the first re-identification risk score.

Systems and methods for de-identifying patient data

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Issaquah, WA, United States of America

Jayaram Nanduri