33 citations · 45 across the 7 of their papers we have counts for
8 papers
TIDE 2.0: an open, model-agnostic engine for keyed de-identification of clinical notes
Jose D. Posada, Somalee Datta, Priya Desai
Clinical notes capture most of what is documented about a patient's care, but they cannot be used for research until protected health information (PHI) is removed. De-identificatio…
SHIELD: A Diverse Clinical Note Dataset and Distilled Small Language Models for Enterprise-Scale De-identification
Jose D. Posada, David Love, Somalee Datta +1
De-identification of clinical text is a prerequisite for the secondary use of electronic health records. Existing public benchmarks such as the i2b2 2006 and 2014 corpora are over…
American Family Cohort, a data resource description
Deepa Balraj, Ayin Vala, Shiying Hao +11
This manuscript is a research resource description and presents a large and novel Electronic Health Records (EHR) data resource, American Family Cohort (AFC). The AFC data is deriv…
A study linking patient EHR data to external death data at Stanford Medicine
Alvaro Andres Alvarez Peralta, Priya Desai, Somalee Datta
This manuscript explores linking real-world patient data with external death data in the context of research Clinical Data Warehouses (r-CDWs). We specifically present the linking…
Integrating Flowsheet Data in OMOP Common Data Model for Clinical Research
Tina Seto, Lillian Sung, Jose Posada +3
Flowsheet data presents unique challenges and opportunities for integration into standardized Common Data Models (CDMs) such as the Observational Medical Outcomes Partnership (OMOP…
A highly scalable repository of waveform and vital signs data from bedside monitoring devices
Sanjay Malunjkar, Susan Weber, Somalee Datta
The advent of cost effective cloud computing over the past decade and ever-growing accumulation of high-fidelity clinical data in a modern hospital setting is leading to new opport…
High performance on-demand de-identification of a petabyte-scale medical imaging data lake
Joseph Mesterhazy, Garrick Olson, Somalee Datta
With the increase in Artificial Intelligence driven approaches, researchers are requesting unprecedented volumes of medical imaging data which far exceed the capacity of traditiona…
A new paradigm for accelerating clinical data science at Stanford Medicine
Somalee Datta, Jose Posada, Garrick Olson +7
Stanford Medicine is building a new data platform for our academic research community to do better clinical data science. Hospitals have a large amount of patient data and research…