Cerner Enviza EHR Database (USA)

Database Contact Data

Nathan Vavroch
Sr. Director RWD Data Products
Oracle
Healthcare & Life Sciences
Kansas City, Missouri
UNITED STATES
Email: nathan.vavroch@cerner.com

Alternate Contact

If you cannot reach the database manager, you may contact the company by completing the contact form at:
https://www.oracle.com/life-sciences/contact-us/

References of Studies Using/Describing Database

1. Oxford MA, McLaughlin CM, McLaughlin CJ, Johnson TS, Roberts JM. Replacing the Scalpel With a Computer Mouse: An Evaluation of Time Spent on Electronic Health Record for Plastic Surgery Residents and Its Impact on Resident Training. Ann Plast Surg. 2024 Apr 1;92(4S Suppl 2):S271-S274.

2. Olopoenia A, Yamaguchi Y, Peeva E, Berman B, Jagun O, George P. Demographics, clinical characteristics, and treatment patterns among keloid patients: United States Electronic Health Records (EHR) Database Study. Int J Dermatol. 2024 Feb 27. doi: 10.1111/ijd.17099. Epub ahead of print. PMID: 38411301.

3. Chieh AY, Willis JG, Carroll CM, Mobley AA, Li Y, Li M, Woodard S. Why Start Now? Retrospective Study Evaluating Baseline Screening Mammography in Patients Age 60 and Older. Curr Probl Diagn Radiol. 2024 Jan-Feb;53(1):62-67.

4. Zhu G, Yuan A, Yu D, Zha A, Wu H. Machine learning to predict mortality for aneurysmal subarachnoid hemorrhage (aSAH) using a large nationwide EHR database. PLOS Digit Health. 2023 Dec 6;2(12):e0000400.

5. Ahlness EA, Orlander J, Brunner J, Cutrona SL, Kim B, Molloy-Paolillo BK, Rinne ST, Rucci J, Sayre G, Anderson E. "Everything's so Role-Specific": VA Employee Perspectives' on Electronic Health Record (EHR) Transition Implications for Roles and Responsibilities. J Gen Intern Med. 2023 Oct;38(Suppl 4):991-998.

6. Molloy-Paolillo B, Mohr D, Levy DR, Cutrona SL, Anderson E, Rucci J, Helfrich C, Sayre G, Rinne ST. Assessing Electronic Health Record (EHR) Use during a Major EHR Transition: An Innovative Mixed Methods Approach. J Gen Intern Med. 2023 Oct;38(Suppl 4):999-1006.

7. Scierka LE, Bradley BA, Glynn E, Davis S, Hoffman M, Tam-Williams JB, Mena-Hurtado C, Smolderen KG. Chronic Cough: Characterizing and Quantifying Burden in Adults Using a Nationwide Electronic Health Records Database. J Healthc Inform Res. 2023 Sep 27;8(1):50-64.

8. Shah NP, Peterson ED, Page C, Blanco R, Navar AM. Generalizability of an EHR-network dataset to the United States for cardiovascular disease conditions: Comparison of Cerner real world data with the national inpatient sample. Am Heart J. 2023 Sep;263:64-72.

9. Espinoza J, Tut M, Shah P, Kingsbury P, Nagaraj G, Meeker D, Bahroos N. Integrating REDCap patient-reported outcomes with the HealtheIntent population health platform: proof of concept. JAMIA Open. 2023 Aug 29;6(3):ooad074.

10. Sivasankar S, Goldman JL, Hoffman MA. Variation in antibiotic resistance patterns for children and adults treated at 166 non-affiliated US facilities using EHR data. JAC Antimicrob Resist. 2023 Jan 2;5(1):dlac128.

Dec 17, 2021 – Latest profile from IBM – MarketScan® Dental Database

The IBM® MarketScan® Dental Database is a patient-level linked dental and medical insurance claims database that contains ~28.6 million covered lives. Established in 2005, this database is used for longitudinal and comparative analyses of diseases, treatment patterns, costs, duration of therapy, concomitant therapies, and other research purposes. 

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