Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research

Cited by (564)

Items 101–200 of 564

1. Community-level determinants of obesity: harnessing the power of electronic health records for retrospective data analysis
   Caryn Roth, Randi E. Foraker, Philip Payne, Peter J. Embí · 2014 · BMC Medical Informatics and Decision Making
2. Medical Imaging Informatics
   William W.Y. Hsu, Suzie M El-Saden, Ricky K. Taira · 2016 · Advances in experimental medicine and biology
3. Computing disease incidence, prevalence and comorbidity from electronic medical records
   Steven C. Bagley, Russ Biagio Altman · 2016 · Journal of Biomedical Informatics
4. A Comparison of Data Quality Assessment Checks in Six Data Sharing Networks
   Tiffany J. Callahan, Alan E. Bauck, David Bertoch, Jeffrey S. Brown, Ritu Khare, Patrick B. Ryan, Jenny Staab, Meredith Nahm Zozus, Michael G. Kahn · 2017 · eGEMs (Generating Evidence & Methods to improve patient outcomes)
5. Why policymakers should care about “big data” in healthcare
   David Westfall Bates, Axel Heitmueller, Meetali Kakad, Suchi Saria · 2018 · Health Policy and Technology
6. Barriers to Achieving Economies of Scale in Analysis of EHR Data: A Cautionary Tale
   Sendak, Mark P., Balu, Suresh, Schulman, Kevin A. · 2017 · Applied Clinical Informatics
7. Challenges Frequently Encountered in the Secondary Use of Electronic Medical Record Data for Research
   Meghan E. Edmondson, Andrew P. Reimer · 2020 · CIN Computers Informatics Nursing
8. Estimating Causal Effects in Observational Studies Using Electronic Health Data: Challenges and (some) Solutions
   Elizabeth A. Stuart, Eva H. DuGoff, Michael T. Abrams, David S. Salkever, Donald M. Steinwachs · 2013 · eGEMs (Generating Evidence & Methods to improve patient outcomes)
9. Risk of COVID-19 breakthrough infection and hospitalization in individuals with comorbidities
   Peter D. Smits, Samuel Gratzl, Michael Simonov, Senthil Nachimuthu, Brianna M Goodwin Cartwright, Michael D. Wang, Charlotte Baker, Patricia Rodriguez, Mackenzie Bogiages, Benjamin M. Althouse et al. · 2023 · Vaccine
10. Personal health indexing based on medical examinations: A data mining approach
    Ling Chen, Xue Li, Yi Yang, Hanna Kurniawati, Quan Z. Sheng, Hsiao‐Yun Hu, Nicole Huang · 2015 · Decision Support Systems
11. Identification of Long Bone Fractures in Radiology Reports Using Natural Language Processing to support Healthcare Quality Improvement
    Aaron J. Masino, Theron Charles Casper, Jonathan Michael Dean, Jamie Bell, René Enríquez, Sara Deakyne, James Chamberlain, Elizabeth R. Alpern, Robert W. Grundmeier, The Pediatric Emergency Care Applied Research Network · 2016 · Applied Clinical Informatics
12. Implementing Evidence-Based Strategies to Improve HPV Vaccine Delivery
    Melissa B. Gilkey, Michael J. Parks, Marjorie A. Margolis, Annie‐Laurie McRee, Jason V. Terk · 2019 · PEDIATRICS
13. Factors associated with missed appointments by adults with type 2 diabetes mellitus: a systematic review
    Chun‐An Sun, Kathryn Taylor, Scott Levin, Susan Renda, Hae‐Ra Han · 2021 · BMJ Open Diabetes Research & Care
14. FeARH: Federated machine learning with anonymous random hybridization on electronic medical records
    Jianfei Cui, He Guo Zhu, Hao Deng, Ziwei Chen, Dianbo Liu · 2021 · Journal of Biomedical Informatics
15. How and when informative visit processes can bias inference when using electronic health records data for clinical research
    Benjamin Alan Goldstein, Matthew Phelan, Neha Jadeja Pagidipati, Sarah B. Peskoe · 2019 · Journal of the American Medical Informatics Association
16. Intraocular Pressure Changes after Cataract Surgery in Patients with and without Glaucoma
    Sophia Ying Wang, Amee Deepak Azad, Shan C. Lin, Tina Hernandez‐Boussard, Suzann Pershing · 2020 · Ophthalmology Glaucoma
17. Barriers to using eHealth data for clinical performance feedback in Malawi: A case study
    Zach Landis‐Lewis, Ronald Manjomo, Oliver Jintha Gadabu, Matthew Kam, Bertha Nhlema Simwaka, Susan L Zickmund, Frank M. Chimbwandira, Gerald P. Douglas, Rebecca S. Jacobson · 2015 · International Journal of Medical Informatics
18. EHR-based Visualization Tool: Adoption Rates, Satisfaction, and Patient Outcomes
    Randi E. Foraker, Bobbie Kite, Marjorie M. Kelley, Albert M. Lai, Caryn Roth, Marcelo A. Lopetegui, Abigail B. Shoben, Michael Langan, Nicole Rutledge, Philip Payne · 2015 · eGEMs (Generating Evidence & Methods to improve patient outcomes)
19. Clinical Research Informatics for Big Data and Precision Medicine
    Michael G. Kahn, Chunhua Weng · 2016 · Yearbook of Medical Informatics
20. Understanding challenges of using routinely collected health data to address clinical care gaps: a case study in Alberta, Canada
    Taylor McGuckin, Katelynn Crick, Tyler W. Myroniuk, Brock Setchell, Roseanne O. Yeung, Denise Lynn Campbell-Scherer · 2022 · BMJ Open Quality
21. Performing an Informatics Consult: Methods and Challenges
    Schuler, Alejandro, Callahan, Alison, Jung, Kenneth, Shah, Nigam H. · 2018 · Journal of the American College of Radiology
22. Challenges and recommendations for high quality research using electronic health records
    Kate Honeyford, Paul Expert, Estera Mendelsohn, Benjamin Post, A. Aldo Faisal, Benjamin Glampson, Erik K. Mayer, Céire Costelloe · 2022 · Frontiers in Digital Health
23. Hypothyroidism risk compared among nine common bipolar disorder therapies in a large US cohort
    Christophe Gerard Lambert, Aurélien Mazurie, Nicolas Lauve, Nathaniel G. Hurwitz, S. Stanley Young, Robert L. Obenchain, Nicolas Hengartner, Douglas Jay Perkins, Mauricio F. Tohen, Berit Kerner · 2016 · Bipolar Disorders
24. Health Data for Research Through a Nationwide Privacy-Proof System in Belgium: Design and Implementation
    Nicolas Delvaux, Bert Aertgeerts, Johan Van Bussel, Geert Goderis, Bert Vaes, Mieke Vermandere · 2018 · JMIR Medical Informatics
25. Computer-supported feedback message tailoring: theory-informed adaptation of clinical audit and feedback for learning and behavior change
    Zach Landis‐Lewis, Jamie Brehaut, Harry Hochheiser, Gerald P. Douglas, Rebecca S. Jacobson · 2015 · Implementation Science
26. Proceedings of the First ACL Workshop on Ethics in Natural Language Processing
    2017
27. Improving the Quality and Design of Retrospective Clinical Outcome Studies that Utilize Electronic Health Records
    Oliwier Dziadkowiec, Jeffery S. Durbin, Vignesh Jayaraman Muralidharan, Megan Novak, Brendon Cornett · 2020 · HCA Healthcare Journal of Medicine
28. The validation of electronic health records in accurately identifying patients eligible for colorectal cancer screening in safety net clinics
    Amanda F. Petrik, Beverly B. Green, William M. Vollmer, Thuy Bich Le, Barbara A. Bachman, Erin M. Keast, Jennifer S. Rivelli, Gloria D. Coronado · 2016 · Family Practice
29. Architecture and Implementation of a Clinical Research Data Warehouse for Prostate Cancer
    Martin G. Seneviratne, Tina Seto, D. Blayney, J. Brooks, T. Hernandez-Boussard · 2018 · eGEMs
30. Healthcare Analysis in Smart Big Data Analytics: Reviews, Challenges and Recommendations
    Ahmed Ismail Ebada, Abdulaziz Shehab, Ibrahim Elhenawy · 2018 · Lecture notes in intelligent transportation and infrastructure
31. The qualculative dimension of healthcare data interoperability
    Pine, Kathleen H · 2019 · Health Informatics Journal
32. Using Electronic Medical Record Data for Research in a Healthcare Information and Management Systems Society (HIMSS) Analytics Electronic Medical Record Adoption Model (EMRAM) Stage 7 Hospital in Beijing: Cross-sectional Study
    Rui Li, Yue Niu, Sarah Robbins Scott, Chu Zhou, Lan Lan, Zhigang Liang, Jia Li · 2021 · JMIR Medical Informatics
33. Capturing Semantic Relationships in Electronic Health Records Using Knowledge Graphs: An Implementation Using MIMIC III Dataset and GraphDB
    Bader Aldughayfiq, Farzeen Ashfaq, Noor Zaman Jhanjhi, Mamoona Humayun · 2023 · Healthcare
34. Using a Data Quality Framework to Clean Data Extracted from the Electronic Health Record: A Case Study
    O. Dziadkowiec, T. Callahan, M. Ozkaynak, B. Reeder, J. Welton · 2016 · eGEMs
35. Clinical Decision Support Reduces Overuse of Red Blood Cell Transfusions: Interrupted Time Series Analysis
    Steven Z. Kassakian, Thomas R. Yackel, Thomas G. DeLoughery, David A. Dorr · 2016 · The American Journal of Medicine
36. Utilization and effectiveness of multimodal discharge analgesia for postoperative pain management
    Karishma Rohanraj Desai, Ian Richard Carroll, Steven M. Asch, Tina Seto, Kathryn Mack McDonald, Catherine Mills Curtin, Tina Hernandez‐Boussard · 2018 · Journal of Surgical Research
37. Harmonized representation learning on dynamic EHR graphs
    Lee, Dongha, Jiang, Xiaoqian, Yu, Hwanjo · 2020 · Journal of Biomedical Informatics
38. Automatic Disease Annotation From Radiology Reports Using Artificial Intelligence Implemented by a Recurrent Neural Network
    Chang Lee, Yee-Suk Kim, Young Soo Kim, Jongseong Jang · 2019 · American Journal of Roentgenology
39. Missing Data Matter: An Empirical Evaluation of the Impacts of Missing EHR Data in Comparative Effectiveness Research
    Zhou, Yizhao, Shi, Jiasheng, Stein, Ronen, Liu, Xiaokang, Baldassano, Robert N, Forrest, Christopher B, Chen, Yong, Huang, Jing · 2023 · Journal of the American Medical Informatics Association
40. Sustaining Research Networks: the Twenty-Year Experience of the HMO Research Network
    John F. Steiner, Andrea R. Paolino, Ella Thompson, Eric Berg Larson · 2014 · eGEMs (Generating Evidence & Methods to improve patient outcomes)
41. Leveraging Epidemiologic and Clinical Collections for Genomic Studies of Complex Traits
    Dana C. Crawford, Robert Goodloe, Eric H. Farber‐Eger, Jonathan Boston, Sarah A. Pendergrass, Jonathan L. Haines, Marylyn DeRiggi Ritchie, William S. Bush · 2015 · Human Heredity
42. Computable phenotype implementation for a national, multi-center pragmatic clinical trial: Lessons learned from ADAPTABLE.
    F. Ahmad, I. Ricket, B. Hammill, Lisa Eskenazi, Holly R. Robertson, L. Curtis, Cecilia D Dobi, Saket Girotra, K. Haynes, J. Kizer et al. · 2020 · Circulation. Cardiovascular Quality and Outcomes
43. Predictive Accuracy of Heart Failure-Specific Risk Equations in an Electronic Health Record-Based Cohort
    Aakash A. Bavishi, Matthew Bruce, Hongyan Ning, Priya Mehta Freaney, Peter A. Glynn, Faraz S. Ahmad, Clyde W. Yancy, Sanjiv Jayendra Shah, Norrina B. Allen, Suma X. Vupputuri et al. · 2020 · Circulation Heart Failure
44. Reporting Data Quality Assessment Results: Identifying Individual and Organizational Barriers and Solutions
    Tiffany J. Callahan, Juliana G. Barnard, Laura J. Helmkamp, Julie Maertens, Michael G. Kahn · 2017 · eGEMs (Generating Evidence & Methods to improve patient outcomes)
45. Acceptance and barriers pertaining to a general practice decision support system for multiple clinical conditions: A mixed methods evaluation
    Derk L. Arts, Stephanie K. Medlock, Henk C P M van Weert, Jeremy C Wyatt, Ameen Abu–Hanna · 2018 · PLoS ONE
46. Advances in Machine Learning Approaches to Heart Failure with Preserved Ejection Fraction
    Ahmad, Faraz S., Luo, Yuan, Wehbe, Ramsey M., Thomas, James D., Shah, Sanjiv J. · 2022 · Heart Failure Clinics
47. Risk Prediction With Electronic Health Records
    Benjamin Alan Goldstein, Ann Marie Návar, Michael J. Pencina · 2016 · JAMA Cardiology
48. Role of electronic health records in comparative effectiveness research
    Blanca Gallego, Adam G. Dunn, Enrico W Coiera · 2013 · Journal of Comparative Effectiveness Research
49. Data Interoperability and Harmonization in Cardiovascular Genomic and Precision Medicine
    C. Anwar A. Chahal, Fares Alahdab, Babken Asatryan, Daniel Addison, Nay Aung, Mina K. Chung, Spiros Denaxas, Jessilyn Dunn, Jennifer L. Hall, Nathalie Pamir et al. · 2025 · Circulation Genomic and Precision Medicine
50. How much can we trust electronic health record data?
    Samuel Thomas Savitz, Lucy A. Savitz, Neil S. Fleming, Nilay D. Shah, Alan S. Go · 2020 · Healthcare
51. Framework for identifying drug repurposing candidates from observational healthcare data
    Michal Ozery-Flato, Yaara Goldschmidt, Oded Shaham, Sivan Ravid, Chen Yanover · 2020 · JAMIA Open
52. A national strategy to develop pragmatic clinical trials infrastructure
    Concannon, Thomas W., Guise, Jeanne‐Marie, Dolor, Rowena J., Meissner, Paul, Tunis, Sean, Krishnan, Jerry A., Pace, Wilson D., Saltz, Joel, Hersh, William R., Michener, Lloyd et al. · 2014 · Clinical and Translational Science
53. Temporal bone radiology report classification using open source machine learning and natural langue processing libraries
    Aaron J. Masino, Robert W. Grundmeier, Jeffrey W. Pennington, John A. Germiller, E. Bryan Crenshaw · 2016 · BMC Medical Informatics and Decision Making
54. Transcription Error Rates in Retrospective Chart Reviews
    James E. Feng, Afshin A. Anoushiravani, Paul J. Tesoriero, Lidia Ani, Morteza Meftah, Ran M. Schwarzkopf, Philipp Leucht · 2020 · Orthopedics
55. Comparing automated vs. manual data collection for COVID-specific medications from electronic health records
    A. Yin, Winston L. Guo, E. Sholle, Mangala Rajan, M. N. Alshak, Justin J. Choi, P. Goyal, Assem Jabri, Han A. Li, Laura C. Pinheiro et al. · 2021 · Int. J. Medical Informatics
56. Linking Electronic Health Records to Better Understand Breast Cancer Patient Pathways Within and Between Two Health Systems
    Caroline A. Thompson, Allison W. Kurian, Harold S. Luft · 2015 · eGEMs (Generating Evidence & Methods to improve patient outcomes)
57. Real-world Evidence to Estimate Prostate Cancer Costs for First-line Treatment or Active Surveillance
    Christopher J. Magnani, Nicolas Bievre, Laurence C. Baker, James D. Brooks, Douglas W. Blayney, Tina Hernandez‐Boussard · 2020 · European Urology Open Science
58. Utilizing electronic health record data to understand comorbidity burden among people living with HIV: a machine learning approach
    Xueying Yang, Jiajia Zhang, Shujie Chen, Sharon Weissman, Bankole Olatosi, Xiaoming Li · 2021 · AIDS
59. A new analytical framework for missing data imputation and classification with uncertainty: Missing data imputation and heart failure readmission prediction
    Zhiyong Hu, Dongping Du · 2020 · PLoS ONE
60. Natural language processing of lifestyle modification documentation
    Kimberly Shoenbill, Yi-Qiang Song, L. Gress, Heather Johnson, Maureen A. Smith, E. Mendonça · 2019 · Health Informatics Journal
61. An ensemble learning based framework to estimate warfarin maintenance dose with cross-over variables exploration on incomplete data set
    Yan Liu, Jihui Chen, Yin You, Ajing Xu, Li P, Yu Wang, Jiaxing Sun, Ze Yuan Yu, Fei Gao, Jian Zhang · 2021 · Computers in Biology and Medicine
62. Real world challenges in integrating electronic medical record and administrative health data for regional quality improvement in diabetes: a retrospective cross-sectional analysis
    Rukia M. Swaleh, Taylor McGuckin, Denise Lynn Campbell-Scherer, Brock Setchell, Peter Alexander Senior, Roseanne O. Yeung · 2023 · BMC Health Services Research
63. Towards a content agnostic computable knowledge repository for data quality assessment
    Naresh Sundar Rajan, Ramkiran Gouripeddi, Peter Mo, Randy Madsen, Julio Cesar Facelli · 2019 · Computer Methods and Programs in Biomedicine
64. The use of electronic health records for recruitment in clinical trials: a mixed methods analysis of the Harmony Outcomes Electronic Health Record Ancillary Study
    Emily Claire O'Brien, Sudha R. Raman, Alicia M. Ellis, Bradley G. Hammill, Lisa G. Berdan, Tyrus L. Rorick, Salim G. Janmohamed, Zachary M. Lampron, Adrian F. Hernandez, Lesley H. Curtis · 2021 · Trials
65. Learning About Missing Data Mechanisms in Electronic Health Records-based Research
    Sebastien Haneuse, Andy Bogart, Ina Jazić, Emily O. Westbrook, Denise M. Boudreau, Mary Kay Theis, Gregory E. Simon, David E Arterburn · 2015 · Epidemiology
66. Big Data: Are Biomedical and Health Informatics Training Programs Ready?
    William Hersh, A. U. Jai Ganesh, Paula Otero · 2014 · Yearbook of Medical Informatics
67. Linking a Consortium-Wide Data Quality Assessment Tool with the MIRACUM Metadata Repository
    L. Kapsner, Jonathan M. Mang, Sebastian Mate, S. Seuchter, A. Vengadeswaran, Franziska Bathelt, Noemi Deppenwiese, Dennis Kadioglu, D. Kraska, H. Prokosch · 2021 · Applied Clinical Informatics
68. DataGauge: A Practical Process for Systematically Designing and Implementing Quality Assessments of Repurposed Clinical Data
    Franck Diaz‐Garelli, Elmer Victor Bernstam, MinJae Lee, Kevin O. Hwang, Mohammad H. Rahbar, Todd R. Johnson · 2019 · eGEMs (Generating Evidence & Methods to improve patient outcomes)
69. A review of serious adverse events linked with GLP-1 agonists in type 2 diabetes mellitus and obesity treatment
    Tobaiqy, Mansour · 2024 · Pharmacological Reports
70. Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data
    Mingkai Peng, Vijaya Sundararajan, Tyler S. Williamson, Evan P. Minty, Tony C. Smith, Chelsea T. A. Doktorchik, Hude Quan · 2018 · Journal of Biomedical Informatics
71. Population-Based Registry Linkages to Improve Validity of Electronic Health Record–Based Cancer Research
    Caroline A. Thompson, Anqi Jin, Harold S. Luft, Daphne Y. Lichtensztajn, Laura Allen, Su‐Ying Liang, Benjamin T. Schumacher, Scarlett Lin Gomez · 2020 · Cancer Epidemiology Biomarkers & Prevention
72. Risk Factors for Pressure Injury Development Among Critical Care Patients
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73. A narrative review of data collection and analysis guidelines for comparative effectiveness research in chronic pain using patient-reported outcomes and electronic health records
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74. Feasibility analysis of conducting observational studies with the electronic health record
    Marcel von Lucadou, Thomas Ganslandt, Hans‐Ulrich Prokosch, Dennis Toddenroth · 2019 · BMC Medical Informatics and Decision Making
75. A common longitudinal intensive care unit data format (CLIF) for critical illness research
    J.C. Rojas, Patrick G. Lyons, K. Chhikara, Vaishvik Chaudhari, Sivasubramanium V. Bhavani, Muna Nour, Kevin G. Buell, Kevin D. Smith, Catherine A. Gao, Saki Amagai et al. · 2025 · Intensive Care Medicine
76. Mind the gap: observation windows to define periods of event ascertainment as a quality control method for longitudinal electronic health record data
    Keri N. Althoff, Cherise Wong, Brenna Hogan, Fidel A. Desir, Bin You, Elizabeth Humes, Jinbing Zhang, Yuezhou Jing, Sharada P. Modur, Jennifer S. Lee et al. · 2019 · Annals of Epidemiology
77. Developing a systematic approach to assessing data quality in secondary use of clinical data based on intended use
    Hanieh Razzaghi, Jane Greenberg, L. Charles Bailey · 2021 · Learning Health Systems
78. The diagnostic and prognostic value of artificial intelligence and artificial neural networks in spinal surgery
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79. An integrated, ontology-driven approach to constructing observational databases for research
    William W.Y. Hsu, Nestor R. Gonzalez, Aichi Chien, Juan Pablo Villablanca, Päivi Pajukanta, Fernando V. Viñuela, Alex A. T. Bui · 2015 · Journal of Biomedical Informatics
80. Imputation and characterization of uncoded self-harm in major mental illness using machine learning
    Praveen Kumar, Anastasiya Nestsiarovich, Stuart J. Nelson, Berit Kerner, Douglas Jay Perkins, Christophe Gerard Lambert · 2019 · Journal of the American Medical Informatics Association
81. Propensity score trimming mitigates bias due to covariate measurement error in inverse probability of treatment weighted analyses: A plasmode simulation
    Mitchell M. Conover, Kenneth Jay Rothman, Til Stürmer‎, Alan R. Ellis, Charles Poole, Michele Jönsson Funk · 2021 · Statistics in Medicine
82. Emulated Clinical Trials from Longitudinal Real-World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson’s Disease
    Daphna Laifenfeld, Chen Yanover, Michal Ozery-Flato, Oded Shaham, Michal Rosen‐Zvi, Nirit Lev, Yaara Goldschmidt, Iris Grossman · 2021 · Frontiers in Pharmacology
83. Experience and reflection from China's Xiangya medical big data project
    Bei Li, Jianbin Li, Yuqiao Jiang, Xiaoyun Lan · 2019 · Journal of Biomedical Informatics
84. Applications of Machine Learning on Electronic Health Record Data to Combat Antibiotic Resistance
    Samuel E. Blechman, Erik S. Wright · 2024 · The Journal of Infectious Diseases
85. Predictors of Nonadherence to Topical Intraocular Pressure Reduction Medications Among Medicare Members: A Claims-Based Retrospective Cohort Study
    Richard L. Sheer, Suvapun Bunniran, Claudia Uribe, Richard G. Fiscella, Vaishali D. Patel, Hitesh S. Chandwani · 2016 · Journal of Managed Care & Specialty Pharmacy
86. Clinical data quality: a data life cycle perspective
    Chun-Hua Weng · 2019 · Biostatistics & Epidemiology
87. Machine Learning for Multimodal Electronic Health Records-Based Research: Challenges and Perspectives
    Ziyi Liu, Jiaqi Zhang, Yongshuai Hou, Xinran Zhang, Ge Li, Yang Xiang · 2023 · Communications in computer and information science
88. Development of a Web-Based Clinical Decision Support System for Drug Prescription: Non-Interventional Naturalistic Description of the Antipsychotic Prescription Patterns in 4345 Outpatients and Future Applications
    Sofian Berrouiguet, María Luisa Barrigón, Sara A. Brandt, Santiago Ovejero, Raquel Álvarez-García, Juan Jose Carballo, Philippe Lenca, Philippe Courtet, MEmind Study Group, Enrique Baca‐García · 2016 · PLoS ONE
89. TEPAPA: a novel in silico feature learning pipeline for mining prognostic and associative factors from text-based electronic medical records
    Frank P. Y. Lin, Adrian M. J. Pokorny, Christina T. Teng, Richard J. Epstein · 2017 · Scientific Reports
90. Leveraging Real-World Data for the Selection of Relevant Eligibility Criteria for the Implementation of Electronic Recruitment Support in Clinical Trials
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91. Prevalence and characteristics of cancer patients receiving care from single vs. multiple institutions
    Christina A. Clarke, Sally Louise Glaser, Rita Leung, Kathleen Davidson-Allen, Scarlett Lin Gomez, Theresa H.M. Keegan · 2016 · Cancer Epidemiology
92. The design and evaluation of a novel algorithm for automated preference card optimization
    David Scheinker, Matt Hollingsworth, Anna Brody, Carey Phelps, William Bryant, Francesca Pei, Kristin Petersen, Alekhya Reddy, James Kennedy Wall · 2020 · Journal of the American Medical Informatics Association
93. Soft Computing and Machine Learning Techniques for e-Health Data Analytics
    Biswajit Brahma, Hemanta Kumar Bhuyan · 2022 · Studies in computational intelligence
94. A data preparation framework for cleaning electronic health records and assessing cleaning outcomes for secondary analysis
    Zhuqi Miao, Meghan D. Sealey, Shrieraam Sathyanarayanan, Dursun Delen, Lan Zhu, Scott Shepherd · 2022 · Information Systems
95. Yield and bias in defining a cohort study baseline from electronic health record data
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96. Impact of Missing Stroke Severity Data on the Accuracy of Hospital Ischemic Stroke Mortality Profiling
    Michael P. Thompson, Zhehui Luo, Joseph C. Gardiner, James Francis Burke, Adrienne V. Nickles, Mathew J. Reeves · 2018 · Circulation Cardiovascular Quality and Outcomes
97. Temporal relationship of computed and structured diagnoses in electronic health record data
    Schulz, Wade L., Young, H. Patrick, Coppi, Andreas, Mortazavi, Bobak J., Lin, Zhenqiu, Jean, Raymond A., Krumholz, Harlan M. · 2021 · BMC Medical Informatics and Decision Making
98. Assessment and ascertainment in psychiatric molecular genetics: challenges and opportunities for cross-disorder research
    Na Cai, Brad Verhulst, Ole A. Andreassen, Jan K. Buitelaar, Howard J. Edenberg, John M. Hettema, Michael J. Gandal, Andrew David Grotzinger, Katherine Grace Jonas, Phil Lee et al. · 2024 · Molecular Psychiatry
99. Assessing the impact of privacy-preserving record linkage on record overlap and patient demographic and clinical characteristics in PCORnet®, the National Patient-Centered Clinical Research Network
    Keith A. Marsolo, Daniel Kiernan, Sengwee Toh, Jasmin Phua, Darcy M. Louzao, Kevin Haynes, Mark G. Weiner, Francisco R. Angulo, L. Charles Bailey, Jiang Bian et al. · 2022 · Journal of the American Medical Informatics Association
100. Developing and validating a natural language processing algorithm to extract preoperative cannabis use status documentation from unstructured narrative clinical notes
     Ruba Sajdeya, Mamoun Mardini, Patrick James Tighe, Ronald L. Ison, Bai Chen, Sebastian Jugl, Gao Hanzhi, Kimia Zandbiglari, Farzana Islam Adiba, Almut Gertrud Winterstein et al. · 2023 · Journal of the American Medical Informatics Association