The Sentinel Common Data Model (CDM)[1] is a standardized data framework developed by the U.S. Food and Drug Administration (FDA) as part of the Sentinel System, a national electronic surveillance[2] system designed to monitor the safety of FDA-regulated medical products. The model provides a consistent structure for transforming healthcare data from different sources into a uniform format, enabling large-scale analyses of drug and medical device safety.
The Sentinel CDM[3] is designed to facilitate active surveillance by allowing diverse healthcare data,[4] such as electronic health records (EHRs), administrative claims, and registry data, to be transformed into a common structure. This standardization reduces variability across data partners and ensures that analytical tools can be applied consistently across multiple datasets. The CDM supports observational research, safety studies, and public health monitoring.
By using standardized terminologies[8][9] and coding systems such as ICD,[10][11]CPT,[12][13] and NDC,[14] the model ensures interoperability and comparability across data sources.
Applications
The Sentinel CDM is primarily used for:
Medical product safety surveillance[15][16][17] to detect and assess potential safety signals for drugs, biologics, and devices.
Comparative effectiveness research[18] enabling evaluation of treatment outcomes[19][20] in real-world populations.
Public health monitoring[21] supporting rapid response to emerging health threats, such as vaccine safety evaluations.
↑ Reed, Geoffrey M.; First, Michael B.; Kogan, Cary S.; Hyman, Steven E.; Gureje, Oye; Gaebel, Wolfgang; Maj, Mario; Stein, Dan J.; Maercker, Andreas; Tyrer, Peter; Claudino, Angelica; Garralda, Elena; Salvador-Carulla, Luis; Ray, Rajat; Saunders, John B.; Dua, Tarun; Poznyak, Vladimir; Medina-Mora, María Elena; Pike, Kathleen M.; Ayuso-Mateos, José L.; Kanba, Shigenobu; Keeley, Jared W.; Khoury, Brigitte; Krasnov, Valery N.; Kulygina, Maya; Lovell, Anne M.; de Jesus Mari, Jair; Maruta, Toshimasa; Matsumoto, Chihiro; Rebello, Tahilia J.; Roberts, Michael C.; Robles, Rebeca; Sharan, Pratap; Zhao, Min; Jablensky, Assen; Udomratn, Pichet; Rahimi-Movaghar, Afarin; Rydelius, Per-Anders; Bährer-Kohler, Sabine; Watts, Ann D.; Saxena, Shekhar (February 2019). "Innovations and changes in the ICD-11 classification of mental, behavioural and neurodevelopmental disorders". World psychiatry: official journal of the World Psychiatric Association (WPA). pp.3–19. doi:10.1002/wps.20611.
↑ Cocoros, Noelle M.; Fuller, Candace C.; Adimadhyam, Sruthi; Ball, Robert; Brown, Jeffrey S.; Dal Pan, Gerald J.; Kluberg, Sheryl A.; Lo Re 3rd, Vincent; Maro, Judith C.; Nguyen, Michael; Orr, Robert; Paraoan, Dianne; Perlin, Jonathan; Poland, Russell E.; Driscoll, Meighan Rogers; Sands, Kenneth; Toh, Sengwee; Yih, W. Katherine; Platt, Richard; Group, And the FDA-Sentinel COVID-19 Working (2021). "A COVID-19-ready public health surveillance system: The Food and Drug Administration's Sentinel System". Pharmacoepidemiology and Drug Safety. pp.827–837. doi:10.1002/pds.5240.{{cite web}}: |last20= has generic name (help)CS1 maint: numeric names: authors list (link)
↑ Yih, Weiling Katherine; Kulldorff, Martin; Sandhu, Sukhminder K.; Zichittella, Lauren; Maro, Judith C.; Cole, David V.; Jin, Robert; Kawai, Alison Tse; Baker, Meghan A.; Liu, Chunfu; McMahill-Walraven, Cheryl N.; Selvan, Mano S.; Platt, Richard; Nguyen, Michael D.; Lee, Grace M. (May 2016). "Prospective influenza vaccine safety surveillance using fresh data in the Sentinel System". Pharmacoepidemiology and Drug Safety. pp.481–492. doi:10.1002/pds.3908.
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