Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22219, first published .

Journals

  1. Bushman D, Davidson A, Pathela P, Greene S, Weiss D, Reddy V, Team N, Latash J. Risk Factors for Death Among Hospitalized Patients Aged 21–64 Years Diagnosed with COVID-19—New York City, March 13–April 9, 2020. Journal of Racial and Ethnic Health Disparities 2022;9(4):1584 View
  2. Dron L, Kalatharan V, Gupta A, Haggstrom J, Zariffa N, Morris A, Arora P, Park J. Data capture and sharing in the COVID-19 pandemic: a cause for concern. The Lancet Digital Health 2022;4(10):e748 View
  3. Pedrera-Jiménez M, García-Barrio N, Rubio-Mayo P, Tato-Gómez A, Cruz-Bermúdez J, Bernal-Sobrino J, Muñoz-Carrero A, Serrano-Balazote P. TransformEHRs: a flexible methodology for building transparent ETL processes for EHR reuse. Methods of Information in Medicine 2022;61(S 02):e89 View
  4. Feng J, Phillips R, Malenica I, Bishara A, Hubbard A, Celi L, Pirracchio R. Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. npj Digital Medicine 2022;5(1) View
  5. Kempf E, Priou S, Lamé G, Daniel C, Bellamine A, Sommacale D, Belkacemi Y, Bey R, Galula G, Taright N, Tannier X, Rance B, Flicoteaux R, Hemery F, Audureau E, Chatellier G, Tournigand C. Impact of two waves of Sars‐Cov2 outbreak on the number, clinical presentation, care trajectories and survival of patients newly referred for a colorectal cancer: A French multicentric cohort study from a large group of university hospitals. International Journal of Cancer 2022;150(10):1609 View
  6. Kline A, Wang H, Li Y, Dennis S, Hutch M, Xu Z, Wang F, Cheng F, Luo Y. Multimodal machine learning in precision health: A scoping review. npj Digital Medicine 2022;5(1) View
  7. Palm J, Meineke F, Przybilla J, Peschel T. “fhircrackr”: An R Package Unlocking Fast Healthcare Interoperability Resources for Statistical Analysis. Applied Clinical Informatics 2023;14(01):054 View
  8. Kalia S, Saarela O, Chen T, O'Neill B, Meaney C, Gronsbell J, Sejdic E, Escobar M, Aliarzadeh B, Moineddin R, Pow C, Sullivan F, Greiver M. Marginal Structural Models Using Calibrated Weights With SuperLearner: Application to Type II Diabetes Cohort. IEEE Journal of Biomedical and Health Informatics 2022;26(8):4197 View
  9. Yang S, Varghese P, Stephenson E, Tu K, Gronsbell J. Machine learning approaches for electronic health records phenotyping: a methodical review. Journal of the American Medical Informatics Association 2023;30(2):367 View
  10. Ford E, Tyler R, Johnston N, Spencer-Hughes V, Evans G, Elsom J, Madzvamuse A, Clay J, Gilchrist K, Rees-Roberts M. Challenges Encountered and Lessons Learned when Using a Novel Anonymised Linked Dataset of Health and Social Care Records for Public Health Intelligence: The Sussex Integrated Dataset. Information 2023;14(2):106 View
  11. Momtazmanesh S, Nowroozi A, Rezaei N. Artificial Intelligence in Rheumatoid Arthritis: Current Status and Future Perspectives: A State-of-the-Art Review. Rheumatology and Therapy 2022;9(5):1249 View
  12. Park H, Wang T, Wattanasin N, Castro V, Gainer V, Goryachev S, Murphy S. The Digital Analytic Patient Reviewer (DAPR) for COVID-19 Data Mart Validation. Methods of Information in Medicine 2022;61(05/06):167 View
  13. McDonald N, Kriellaars D, Doupe M, Giesbrecht G, Pryce R. Database quality assessment in research in paramedicine: a scoping review protocol. BMJ Open 2022;12(7):e063372 View
  14. Post A, Burningham Z, Halwani A. Electronic Health Record Data in Cancer Learning Health Systems: Challenges and Opportunities. JCO Clinical Cancer Informatics 2022;(6) View
  15. GASPARDONE A, VERSACI F, TOMAI F, BIONDI-ZOCCAI G, SGUEGLIA G, GIOFFRÈ G, ROMAGNOLI E, MANCONE M, CALCAGNO S, PROIETTI I, SCIAHBASI A, DI PIETRO R, TANZILLI G, MARIANO E, ROMEO F. Reduction in emergency access for acute myocardial infarction during the COVID-19 pandemic: a survey from the greater area of Rome. Minerva Cardiology and Angiology 2022;70(4) View
  16. Bernasconi A, Ceri S. Interoperability of COVID-19 Clinical Phenotype Data with Host and Viral Genetics Data. BioMed 2022;2(1):69 View
  17. Csonka P, Korppi M. Electronic health record databases provide a platform for intervention studies. Acta Paediatrica 2022;111(6):1104 View
  18. Anantharama N, Buntine W, Nunn A. A Systematic Approach to Reconciling Data Quality Failures: Investigation Using Spinal Cord Injury Data. ACI Open 2021;05(02):e94 View
  19. Klann J, Strasser Z, Hutch M, Kennedy C, Marwaha J, Morris M, Samayamuthu M, Pfaff A, Estiri H, South A, Weber G, Yuan W, Avillach P, Wagholikar K, Luo Y, Omenn G, Visweswaran S, Holmes J, Xia Z, Brat G, Murphy S. Distinguishing Admissions Specifically for COVID-19 From Incidental SARS-CoV-2 Admissions: National Retrospective Electronic Health Record Study. Journal of Medical Internet Research 2022;24(5):e37931 View
  20. Charpignon M, Vakulenko-Lagun B, Zheng B, Magdamo C, Su B, Evans K, Rodriguez S, Sokolov A, Boswell S, Sheu Y, Somai M, Middleton L, Hyman B, Betensky R, Finkelstein S, Welsch R, Tzoulaki I, Blacker D, Das S, Albers M. Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia. Nature Communications 2022;13(1) View
  21. Klappe E, Cornet R, Dongelmans D, de Keizer N. Inaccurate recording of routinely collected data items influences identification of COVID-19 patients. International Journal of Medical Informatics 2022;165:104808 View
  22. Kessler R, Luedtke A. Pragmatic Precision Psychiatry—A New Direction for Optimizing Treatment Selection. JAMA Psychiatry 2021;78(12):1384 View
  23. Binkheder S, Asiri M, Altowayan K, Alshehri T, Alzarie M, Aldekhyyel R, Almaghlouth I, Almulhem J. Real-World Evidence of COVID-19 Patients’ Data Quality in the Electronic Health Records. Healthcare 2021;9(12):1648 View
  24. Fatollahi J, Bentley S, Doran N, Brody A. Changes in Tobacco Use Patterns among Veterans in San Diego during the Recent Peak of the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2021;18(22):11923 View
  25. Villoutreix B. Post-Pandemic Drug Discovery and Development: Facing Present and Future Challenges. Frontiers in Drug Discovery 2021;1 View
  26. Freda P, Kranzler H, Moore J. Novel digital approaches to the assessment of problematic opioid use. BioData Mining 2022;15(1) View
  27. Lerner I, Serret-Larmande A, Rance B, Garcelon N, Burgun A, Chouchana L, Neuraz A. Mining Electronic Health Records for Drugs Associated With 28-day Mortality in COVID-19: Pharmacopoeia-wide Association Study (PharmWAS). JMIR Medical Informatics 2022;10(3):e35190 View
  28. Kalia S, Saarela O, O’Neill B, Meaney C, Moineddin R, Sullivan F, Greiver M. Emulating a Target Trial Using Primary-Care Electronic Health Records: Sodium-Glucose Cotransporter 2 Inhibitor Medications and Hemoglobin A1c. American Journal of Epidemiology 2023;192(5):782 View
  29. Syed R, Eden R, Makasi T, Chukwudi I, Mamudu A, Kamalpour M, Kapugama Geeganage D, Sadeghianasl S, Leemans S, Goel K, Andrews R, Wynn M, ter Hofstede A, Myers T. Digital Health Data Quality Issues: Systematic Review. Journal of Medical Internet Research 2023;25:e42615 View
  30. Ross E, Bossarte R, Dobscha S, Gildea S, Hwang I, Kennedy C, Liu H, Luedtke A, Marx B, Nock M, Petukhova M, Sampson N, Zainal N, Sverdrup E, Wager S, Kessler R. Estimated Average Treatment Effect of Psychiatric Hospitalization in Patients With Suicidal Behaviors. JAMA Psychiatry 2024;81(2):135 View
  31. Penrod N, Okeh C, Velez Edwards D, Barnhart K, Senapati S, Verma S. Leveraging electronic health record data for endometriosis research. Frontiers in Digital Health 2023;5 View
  32. Wolfien M, Ahmadi N, Fitzer K, Grummt S, Heine K, Jung I, Krefting D, Kühn A, Peng Y, Reinecke I, Scheel J, Schmidt T, Schmücker P, Schüttler C, Waltemath D, Zoch M, Sedlmayr M. Ten Topics to Get Started in Medical Informatics Research. Journal of Medical Internet Research 2023;25:e45948 View
  33. Klann J, Henderson D, Morris M, Estiri H, Weber G, Visweswaran S, Murphy S. A broadly applicable approach to enrich electronic-health-record cohorts by identifying patients with complete data: a multisite evaluation. Journal of the American Medical Informatics Association 2023;30(12):1985 View
  34. Reno J, Ong T, Voong C, Morse B, Ytell K, Koren R, Kwan B. Engaging Patients and Other Stakeholders in “Designing for Dissemination” of Record Linkage Methods and Tools. Applied Clinical Informatics 2023;14(04):670 View
  35. Al-Sahab B, Leviton A, Loddenkemper T, Paneth N, Zhang B. Biases in Electronic Health Records Data for Generating Real-World Evidence: An Overview. Journal of Healthcare Informatics Research 2024;8(1):121 View
  36. Yasrebi-de Kom I, Dongelmans D, Abu-Hanna A, Schut M, de Lange D, van Roon E, de Jonge E, Bouman C, de Keizer N, Jager K, Klopotowska J, ten Cate J, Schutte P, van Balen D, Hendriks S, Lau C, Vermeijden W, Beishuizen A, Masselink J, Spronk P, van Kan H, van den Bergh W, Renes M, Bult W, Hoeksema M, Wesselink E, Purmer I, Bosma B, van Bree S, Wierenga P, Bosman R, Franssen E, Karakus A, Sigtermans M, Kuck E. Acute kidney injury associated with nephrotoxic drugs in critically ill patients: a multicenter cohort study using electronic health record data. Clinical Kidney Journal 2023;16(12):2549 View
  37. Lewis A, Weiskopf N, Abrams Z, Foraker R, Lai A, Payne P, Gupta A. Electronic health record data quality assessment and tools: a systematic review. Journal of the American Medical Informatics Association 2023;30(10):1730 View
  38. Dhingra L, Shen M, Mangla A, Khera R. Cardiovascular Care Innovation through Data-Driven Discoveries in the Electronic Health Record. The American Journal of Cardiology 2023;203:136 View
  39. Leviton A, Loddenkemper T. Design, implementation, and inferential issues associated with clinical trials that rely on data in electronic medical records: a narrative review. BMC Medical Research Methodology 2023;23(1) View
  40. Teeple S, Smith A, Toerper M, Levin S, Halpern S, Badaki-Makun O, Hinson J. Exploring the impact of missingness on racial disparities in predictive performance of a machine learning model for emergency department triage. JAMIA Open 2023;6(4) View
  41. Lanotte F, O’Brien M, Jayaraman A. AI in Rehabilitation Medicine: Opportunities and Challenges. Annals of Rehabilitation Medicine 2023;47(6):444 View
  42. Chung M, House J, Akhtari F, Makris K, Langston M, Islam K, Holmes P, Chadeau-Hyam M, Smirnov A, Du X, Thessen A, Cui Y, Zhang K, Manrai A, Motsinger-Reif A, Patel C, Adamu Y, Adebamowo C, Akhtari F, Argos M, Arunachalam S, Baumert B, Beglarian E, Berger K, Bhutani J, Bisson W, Breton C, Cai L, Chao M, Chatziioannou A, Cheng Q, Chung M, Clark R, Cohen Hubal E, Conti D, Cooke M, Costello E, Dierickx E, Dolinoy D, Engel L, Gao P, Gaulke C, Giebelhaus R, Goodrich J, Grafanaki K, Gullapalli R, Habre R, Haidari A, Harari H, Hart J, He J, Hood D, House J, Hu H, Hu C, James P, Jankowska M, Ji H, Srimathi K, Konstantinou C, Lai Y, Langston M, Lasalle J, Leang A, Liang D, Liao J, Luo J, Manz K, Miller G, Ouidir M, Page G, Pan S, Parker G, Paul K, Peluso A, Penning T, Pierce B, Prajapati N, Prins G, Quintana P, Rajasekar A, Ramesh A, Ruden D, Rushing B, Scholl E, Schüssler-Fiorenza Rose S, Shah R, Shahriar M, Siwakoti R, Soares L, Soliman G, States J, Stingone J, Sturla Irizarry S, Sun Y, Sundseth S, Teitelbaum S, Thessen A, Tong A, Vijayakumar N, Walker R, Wang Y, Whyte K, Wilson A, Wu L, Wu K, Yuan X, Zhang Q, Zhang X, Zhao N, Zhu Y. Decoding the exposome: data science methodologies and implications in exposome-wide association studies (ExWASs). Exposome 2024;4(1) View
  43. Faviez C, Vincent M, Garcelon N, Boyer O, Knebelmann B, Heidet L, Saunier S, Chen X, Burgun A. Performance and clinical utility of a new supervised machine-learning pipeline in detecting rare ciliopathy patients based on deep phenotyping from electronic health records and semantic similarity. Orphanet Journal of Rare Diseases 2024;19(1) View
  44. Bey R, Cohen A, Trebossen V, Dura B, Geoffroy P, Jean C, Landman B, Petit-Jean T, Chatellier G, Sallah K, Tannier X, Bourmaud A, Delorme R. Natural language processing of multi-hospital electronic health records for public health surveillance of suicidality. npj Mental Health Research 2024;3(1) View
  45. Marwaha J, Downing M, Halamka J, Abernethy A, Franklin J, Anderson B, Kohane I, Wagholikar K, Brownstein J, Haendel M, Brat G. Mobilizing data during a crisis: Building rapid evidence pipelines using multi-institutional real world data. Healthcare 2024;12(2):100738 View
  46. Cogan A, Roberts P, Mallinson T. Using Electronic Health Record Data for Occupational Therapy Health Services Research: Invited Commentary. OTJR: Occupational Therapy Journal of Research 2024 View
  47. Faviez C, Chen X, Garcelon N, Zaidan M, Billot K, Petzold F, Faour H, Douillet M, Rozet J, Cormier-Daire V, Attié-Bitach T, Lyonnet S, Saunier S, Burgun A. Objectivizing issues in the diagnosis of complex rare diseases: lessons learned from testing existing diagnosis support systems on ciliopathies. BMC Medical Informatics and Decision Making 2024;24(1) View
  48. Hicks E, Niarchou M, Goleva S, Kabir D, Johnson J, Johnston K, Ciarcia J, Pathak G, Smoller J, Davis L, Nievergelt C, Koenen K, Huckins L, Choi K. Comorbidity Profiles of Posttraumatic Stress Disorder Across the Medical Phenome.. Biological Psychiatry Global Open Science 2024:100337 View

Books/Policy Documents

  1. . Artificial Intelligence in Bioinformatics. View
  2. Cannataro M, Guzzi P, Agapito G, Zucco C, Milano M. Artificial Intelligence in Bioinformatics. View