17:02
Chapter 2: Transforming Medicaid and CHIP Data for Use with OMOP Common Data Model
14:18
Chapter 5: Feasibility of Using the FHIR Specification to Enable EHR Data Linkage with Claims
28:11
Chapter 3: Creating a Mother-Infant Linkage Using TAF Data in the Sentinel Common Data Model
56:27
Chapter 4: Data Quality Metrics in US Medicaid Data: Results from Sentinel’s Medicaid Data Mart
29:56
Chapter 1: Transforming Medicaid and CHIP Data for Use with the FDA’s Sentinel Common Data Model
19:13
Chapter 6: Prenatal and Congenital Syphilis in the US: Characterizing Screening and Treatment
01:01:00
Health Information Exchanges
58:26
Assessing Treatment Effects in Observational Data with Missing Confounders: A Comparative Study
57:09
Overview of CDER’s Real-World Evidence Demonstration Projects
59:09
Opportunities and Challenges in Use of the Language Models for Post Market Surveillance of Products
59:20
A PRocess guide for INferential Studies Using Healthcare Data from Routine Clinical Practice
50:55
Data Driven Automated Classification Algorithms for Health Conditions Applying PheNorm to COVID
59:38
Scalable Incident Detection via Natural Language Processing and Probabilistic Language Models
59:39
Leveraging Missing Data and Measurement Error Approaches in Propensity Score Based Analyses
01:00:08
Multi-Wave Validation Sampling to Improve Estimates Derived from Electronic Health Record Data
15:35
FDA Sentinel EHR v. Claims
03:01:48
2023 Sentinel Public Training Day l 11th April, 2023
02:38:03
2023 Innovation Day | 12th April, 2023
40:02
Ontology-Driven Weak Supervision: Clinical Entity Classification |Nigam H. Shah, MBBS, PhD| 2282023
55:44
Identification & mitigation of source mapping issues - StructuredEHR data|Keith Marsolo, PhD|1.23.23
52:15
Machine Learning in Distributed Data Networks like the Sentinel System|Jenna Wong, PhD, MSc|12162022
01:02:07
Addressing missing data:Comparative effectiveness research-EHR data| Sebastien Haneuse, PhD|09262022
41:28
An Overview of Sentinel's Publicly Available Analytics Tools
49:04
Machine Learning for High-dimensional Proxy Covariate Adjustment | Richard Wyss, PhD, MSc | 09122022
50:51
Deep Learning on EHR for Research in Pharmacoepidemiology | Janick Weberpals, RPh, PhD | 07092022
59:56
Representing & Utilizing Clinical Textual Data for Real World Studies |Hua Xu, PhD, FACMI |08302022
09:26
Sentinel Views Virtual Training
52:10
Advancing use of RWE for health technology assessment–NICE RWE framework |Seamus Kent, PhD |08112022
01:26:12
Sentinel AMIA panel 2021 | Rishi J. Desai, MS, PhD
01:01:28
Can we train ML methods to outperform the hdPS algorithm? | Ehsan Karim, PhD | 05112022
02:56:52
2022 Annual Sentinel Public Training Day | 29th April 2022
02:54:42
2022 Sentinel Innovation Day | 28th April, 2022
59:22
Data leakage due to care provided outside of the study EHR system |Joshua Lin, MD, ScD, MPH |3.28.22
12:55
Major Moments in the Development of Sentinel
57:49
Imagining FHIR as a meta-common data model for research | Emily Pfaff, PhD, MS | Feb 24, 2022
01:00:17
An Introduction to Negative Control & Proximal Causal Learning | Xu Shi, PhD | Jan 28, 2022
37:38
An Overview of the Sentinel Website for Health Advocates
01:33:56
Synthetic Data for Reproducible Clinical Research | Dr. Foraker, Dr. El Emam, Dr. Malin | 10NOV2021
06:17
The Sentinel Userbase
01:00:06
Inverse probability of exposure & censoring weights | Xiaojuan Li, PhD | Sep 30, 2021
58:48
Adaptive validation designs | Timothy Lash, DSc, MPH & Lindsay Collin, PhD, MPH | August 9, 2021
59:45
NLP for EHR-based Pharmacovigilance | Hong Yu, MS, PhD, FACMI | July 29, 2021
59:39
The challenges & opportunities of collecting real world endpoints | Sarah Alwardt, PhD | 06.22.2021
56:49
FHIR & applications for data capture & interoperability in Sentinel |Alex Cheng, PhD, MEM | 05272021
01:01:06
Advanced approaches for evaluating drug safety in pregnancy | Krista Huybrechts, MS, PhD | 04262021
56:47
Development & Validation of a Real-World Mortality Variable | Rebecca Miksad, MD, MPH | Mar 30, 2021
52:30
FDA Patient Representative Webinar: The Sentinel System - FDA's Unique Safety Surveillance Tool
01:00:20
Self-Controlled Risk Interval Tool (10th Annual Public Workshop)
01:39:23
Propensity Score Analysis Tool (10th Annual Public Workshop)
01:06:35
TreeScan Analyses (10th Annual Public Workshop)
56:03
Introduction to Signal Detection Analytics Core | Judith Maro, PhD & Joshua Smith, PhD | Feb18, 2021
01:40:22
Applications in Medical Product Safety (Session A - 11th Annual Public Workshop)
01:21:55
Sentinel Public Training - Morning Session: Part 2 (11th Annual Public Training)
01:22:10
Sentinel Public Training - Morning Session: Part 1 (11th Annual Public Workshop)
43:14
Tools to Answer Public Health Questions, Part 2 (Public Training at FDA)
01:00:07
Tools to Answer Public Health Questions, Part 1 (Public Training at FDA)
01:11:11
What Kind of Questions can the Sentinel Distributed Database Answer? (Public Training at FDA)
55:58
Introduction to the Sentinel Program and Sentinel Distributed Database (Public Training at FDA)
59:39
Sentinel Outcome Detection Algorithms |Susan Gruber, PhD, MPH, MS & David Carrell, PhD |Jan 27, 2021
57:34
Unsupervised Approaches for Phenotyping Using EHR Data | Katherine Liao, MD, MPH | July 29, 2020
X
About
The U.S. Food and Drug Administration (FDA) leads the Sentinel Initiative. FDA created the Sentinel Initiative to meet a mandate by Congress in the FDA Amendments Act of 2007. Through the Sentinel Initiative, FDA aims to develop new ways to assess the safety of approved medical products including drugs, vaccines, and medical devices.
Tags