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Found 5 papers, 1 papers with code
American Family Cohort, a data resource description
This manuscript is a research resource description and presents a large and novel Electronic Health Records (EHR) data resource, American Family Cohort (AFC).
A study linking patient EHR data to external death data at Stanford Medicine
Electronic Health Record (EHR) data and NTIS LADMF are heavily used resources at other medical centers and we expect that the methods and learnings presented here will be valuable to others.
Integrating Flowsheet Data in OMOP Common Data Model for Clinical Research
Flowsheet data presents unique challenges and opportunities for integration into standardized Common Data Models (CDMs) such as the Observational Medical Outcomes Partnership (OMOP) CDM from the Observational Health Data Sciences and Informatics (OHDSI) program.
A highly scalable repository of waveform and vital signs data from bedside monitoring devices
We have developed a highly scalable solution that: a) siphons off patient vital data on a nightly basis from on-premises bio-medical systems to a cloud storage location as a permanent archive, b) reconstructs the database in the cloud, c) generates waveforms, alarms and numeric data in a research-ready format, and d) uploads the processed data to a storage location in the cloud ready for research.
A new paradigm for accelerating clinical data science at Stanford Medicine
The ecosystem is designed to bring the modern data science community to highly sensitive clinical data in a secure and collaborative big data analytics environment with a goal to enable bigger, better and faster science.
