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1. Clinical Annotation Research Kit (CLARK): Computable Phenotyping Using Machine Learning

2. Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study

3. Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programs

5. Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative

6. From Alpha to Omicron and Beyond: Associations Between SARS-CoV-2 Variants and Surgical Outcomes

7. The prevalence of postacute sequelae of coronavirus disease 2019 in solid organ transplant recipients: Evaluation of risk in the National COVID Cohort Collaborative

8. Decreasing Case Fatality Rates for Patients With Cirrhosis Infected With SARS-CoV-2: A National COVID Cohort Collaborative Study

9. Risk factors associated with post-acute sequelae of SARS-CoV-2: an N3C and NIH RECOVER study

12. Nonelective coronary artery bypass graft outcomes are adversely impacted by Coronavirus disease 2019 infection, but not altered processes of care: A National COVID Cohort Collaborative and National Surgery Quality Improvement Program analysis

13. Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium

14. Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study

15. Hormone replacement therapy and COVID-19 outcomes in solid organ transplant recipients compared with the general population

16. Early Empiric Antibiotic Use in Patients Hospitalized With COVID-19: A Retrospective Cohort Study*

17. Risk of severe acute respiratory syndrome coronavirus 2 infection among women with polycystic ovary syndrome

18. COVID-19 outcomes in persons with hemophilia: results from a US-based national COVID-19 surveillance registry

20. Thirty-Day Mortality and Complication Rates in Total Joint Arthroplasty After a Recent COVID-19 Diagnosis: A Retrospective Cohort in the National COVID Cohort Collaborative (N3C)

21. Identifying who has long COVID in the USA: a machine learning approach using N3C data

22. Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programs.

25. NSAID use and clinical outcomes in COVID-19 patients: a 38-center retrospective cohort study

26. Risk for stillbirth among pregnant individuals with SARS-CoV-2 infection varied by gestational age

28. Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery

29. Preexisting Autoimmunity Is Associated With Increased Severity of Coronavirus Disease 2019: A Retrospective Cohort Study Using Data From the National COVID Cohort Collaborative (N3C).

30. De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository.

31. Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs.

35. Use of administrative and electronic health record data for development of automated algorithms for childhood diabetes case ascertainment and type classification: the SEARCH for Diabetes in Youth Study†

36. Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset.

37. Development and Application of an Open Tool for Sharing and Analyzing Integrated Clinical and Environmental Exposures Data: Asthma Use Case.

38. Supporting research, protecting data: one institution's approach to clinical data warehouse governance.

39. Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative.

40. Using a Patient Portal to Increase Enrollment in a Newborn Screening Research Study: Observational Study.

41. Research informatics and the COVID-19 pandemic: Challenges, innovations, lessons learned, and recommendations.

42. The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment.

43. Ensuring a safe(r) harbor: Excising personally identifiable information from structured electronic health record data.

44. Electronic Medical Record Search Engine (EMERSE): An Information Retrieval Tool for Supporting Cancer Research.

46. A novel approach for exposing and sharing clinical data: the Translator Integrated Clinical and Environmental Exposures Service.

47. Clinical Data: Sources and Types, Regulatory Constraints, Applications.

48. Recruiting for a pragmatic trial using the electronic health record and patient portal: successes and lessons learned.

50. An efficient approach for surveillance of childhood diabetes by type derived from electronic health record data: the SEARCH for Diabetes in Youth Study.

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