Published on in Vol 20, No 5 (2018): May

Possible Sources of Bias in Primary Care Electronic Health Record Data Use and Reuse

Possible Sources of Bias in Primary Care Electronic Health Record Data Use and Reuse

Possible Sources of Bias in Primary Care Electronic Health Record Data Use and Reuse

Journals

  1. Van den Bulck S, Vankrunkelsven P, Goderis G, Broekx L, Dreesen K, Ruijten L, Mpoukouvalas D, Hermens R. Development of quality indicators for type 2 diabetes, extractable from the electronic health record of the general physician. A rand-modified Delphi method. Primary Care Diabetes 2020;14(1):75 View
  2. Thayer D, Rees A, Kennedy J, Collins H, Harris D, Halcox J, Ruschetti L, Noyce R, Brooks C, De Luca V. Measuring follow-up time in routinely-collected health datasets: Challenges and solutions. PLOS ONE 2020;15(2):e0228545 View
  3. Delvaux N, Aertgeerts B, van Bussel J, Goderis G, Vaes B, Vermandere M. Health Data for Research Through a Nationwide Privacy-Proof System in Belgium: Design and Implementation. JMIR Medical Informatics 2018;6(4):e11428 View
  4. Levitin S, Grbic J, Finkelstein J. Completeness of Electronic Dental Records in a Student Clinic: Retrospective Analysis. JMIR Medical Informatics 2019;7(1):e13008 View
  5. Joling K, Janssen O, Francke A, Verheij R, Lissenberg‐Witte B, Visser P, van Hout H. Time from diagnosis to institutionalization and death in people with dementia. Alzheimer's & Dementia 2020;16(4):662 View
  6. Dagliati A, Plant D, Nair N, Jani M, Amico B, Peek N, Morgan A, Isaacs J, Wilson A, Hyrich K, Geifman N, Barton A. Latent Class Trajectory Modeling of 2‐Component Disease Activity Score in 28 Joints Identifies Multiple Rheumatoid Arthritis Phenotypes of Response to Biologic Disease‐Modifying Antirheumatic Drugs. Arthritis & Rheumatology 2020;72(10):1632 View
  7. Eggermont D, Smit M, Kwestroo G, Verheij R, Hek K, Kunst A. The influence of gender concordance between general practitioner and patient on antibiotic prescribing for sore throat symptoms: a retrospective study. BMC Family Practice 2018;19(1) View
  8. van den Driessen Mareeuw F, Coppus A, Delnoij D, de Vries E. Capturing the complexity of healthcare for people with Down syndrome in quality indicators - a Delphi study involving healthcare professionals and patient organisations. BMC Health Services Research 2020;20(1) View
  9. Booth H, Gallagher A, Mullett D, Carty L, Padmanabhan S, Myles P, Welburn S, Hoghton M, Rafi I, Valentine J. Quality improvement of prescribing safety: a pilot study in primary care using UK electronic health records. British Journal of General Practice 2019;69(686):e605 View
  10. Rasenberg N, Bierma-Zeinstra S, Bindels P, van der Lei J, van Middelkoop M. Incidence, prevalence, and management of plantar heel pain: a retrospective cohort study in Dutch primary care. British Journal of General Practice 2019;69(688):e801 View
  11. Mendlowitz A, Croxford R, MacLagan L, Ritcey G, Isaranuwatchai W. Usage of primary and administrative data to measure the economic impact of quality improvement projects. BMJ Open Quality 2020;9(2):e000712 View
  12. Van den Bulck S, Vankrunkelsven P, Goderis G, Van Pottelbergh G, Swerts J, Panis K, Hermens R. Developing quality indicators for Chronic Kidney Disease in primary care, extractable from the Electronic Medical Record. A Rand-modified Delphi method. BMC Nephrology 2020;21(1) View
  13. Kitsos A, Peterson G, Jose M, Khanam M, Castelino R, Radford J. Variation in Documenting Diagnosable Chronic Kidney Disease in General Medical Practice: Implications for Quality Improvement and Research. Journal of Primary Care & Community Health 2019;10:215013271983329 View
  14. Koo M, Lyratzopoulos G, Herbert A, Abel G, Taylor R, Barber J, Gibson F, Whelan J, Fern L. Association of Self-reported Presenting Symptoms With Timeliness of Help-Seeking Among Adolescents and Young Adults With Cancer in the BRIGHTLIGHT Study. JAMA Network Open 2020;3(9):e2015437 View
  15. Henley-Smith S, Boyle D, Gray K. Improving a Secondary Use Health Data Warehouse: Proposing a Multi-Level Data Quality Framework. eGEMs (Generating Evidence & Methods to improve patient outcomes) 2019;7(1):38 View
  16. Ni K, Chu H, Zeng L, Li N, Zhao Y. Barriers and facilitators to data quality of electronic health records used for clinical research in China: a qualitative study. BMJ Open 2019;9(7):e029314 View
  17. Cook R, Jones S, Williams G, Worsley D, Walker R, Radford M, Leary A. An observational study on the rate of reporting of adverse event on healthcare staff in a mental health setting: An application of Poisson expectation maximisation analysis on nurse staffing data. Health Informatics Journal 2020;26(2):1333 View
  18. Izem R, Huang T, Hou L, Pestine E, Nguyen M, Maro J. Quantifying how small variations in design elements affect risk in an incident cohort study in claims. Pharmacoepidemiology and Drug Safety 2020;29(1):84 View
  19. Bossen C, Piras E. Introduction to the Special Issue on ‘Information Infrastructures in Healthcare: Governance, Quality Improvement and Service Efficiency’. Computer Supported Cooperative Work (CSCW) 2020;29(4):381 View
  20. De Groot K, Triemstra M, Paans W, Francke A. Quality criteria, instruments, and requirements for nursing documentation: A systematic review of systematic reviews. Journal of Advanced Nursing 2019;75(7):1379 View
  21. Erlingsdóttir G, Petersson L, Jonnergård K. A Theoretical Twist on the Transparency of Open Notes: Qualitative Analysis of Health Care Professionals’ Free-Text Answers. Journal of Medical Internet Research 2019;21(9):e14347 View
  22. Uwizeyemungu S, Poba-Nzaou P, Cantinotti M. European Hospitals’ Transition Toward Fully Electronic-Based Systems: Do Information Technology Security and Privacy Practices Follow?. JMIR Medical Informatics 2019;7(1):e11211 View
  23. Dillard L, Saunders G, Zobay O, Naylor G. Insights Into Conducting Audiological Research With Clinical Databases. American Journal of Audiology 2020;29(3S):676 View
  24. Baliatsas C, Smit L, Dückers M, van Dijk C, Heederik D, Yzermans C. Patients with overlapping diagnoses of asthma and COPD: is livestock exposure a risk factor for comorbidity and coexisting symptoms and infections?. BMC Pulmonary Medicine 2019;19(1) View
  25. Janssen O, Vos S, Handels R, Vermunt L, Verheij R, Verhey F, van Hout H, Visser P, Joling K. Duration of Care Trajectories in Persons With Dementia Differs According to Demographic and Clinical Characteristics. Journal of the American Medical Directors Association 2020;21(8):1102 View
  26. Fu L, Schwartz J, Moy A, Knaplund C, Kang M, Schnock K, Garcia J, Jia H, Dykes P, Cato K, Albers D, Rossetti S. Development and validation of early warning score system: A systematic literature review. Journal of Biomedical Informatics 2020;105:103410 View
  27. Dennis S, Taggart J, Yu H, Jalaludin B, Harris M, Liaw S. Linking observational data from general practice, hospital admissions and diabetes clinic databases: can it be used to predict hospital admission?. BMC Health Services Research 2019;19(1) View
  28. Keshta I, Odeh A. Security and privacy of electronic health records: Concerns and challenges. Egyptian Informatics Journal 2021;22(2):177 View
  29. Broekstra R, Maeckelberghe E, Aris-Meijer J, Stolk R, Otten S. Motives of contributing personal data for health research: (non-)participation in a Dutch biobank. BMC Medical Ethics 2020;21(1) View
  30. Garies S, Cummings M, Quan H, McBrien K, Drummond N, Manca D, Williamson T. Methods to improve the quality of smoking records in a primary care EMR database: exploring multiple imputation and pattern-matching algorithms. BMC Medical Informatics and Decision Making 2020;20(1) View
  31. Yang L, Huang X, Li J. Discovering Clinical Information Models Online to Promote Interoperability of Electronic Health Records: A Feasibility Study of OpenEHR. Journal of Medical Internet Research 2019;21(5):e13504 View
  32. Nielen M, Spronk I, Davids R, Korevaar J, Poos R, Hoeymans N, Opstelten W, van der Sande M, Biermans M, Schellevis F, Verheij R. Estimating Morbidity Rates Based on Routine Electronic Health Records in Primary Care: Observational Study. JMIR Medical Informatics 2019;7(3):e11929 View
  33. Koo M, Swann R, McPhail S, Abel G, Elliss-Brookes L, Rubin G, Lyratzopoulos G. Presenting symptoms of cancer and stage at diagnosis: evidence from a cross-sectional, population-based study. The Lancet Oncology 2020;21(1):73 View
  34. Jansen T, Hek K, Schellevis F, Kunst A, Verheij R. Socioeconomic inequalities in out-of-hours primary care use: an electronic health records linkage study. European Journal of Public Health 2020;30(6):1049 View
  35. Taksler G, Dalton J, Perzynski A, Rothberg M, Milinovich A, Krieger N, Dawson N, Roach M, Lewis M, Einstadter D. Opportunities, Pitfalls, and Alternatives in Adapting Electronic Health Records for Health Services Research. Medical Decision Making 2021;41(2):133 View
  36. van der Heide I, Heins M, van Hout H, Verheij R, Francke A, Joling K, Carr D. How Transitions in Dementia Care Trajectories Affect Health Problems in Partners: A Longitudinal Analysis With Linked Health and Administrative Data. The Journals of Gerontology: Series B 2021;76(6):1186 View
  37. Delvaux N, Vaes B, Aertgeerts B, Van de Velde S, Vander Stichele R, Nyberg P, Vermandere M. Coding Systems for Clinical Decision Support: Theoretical and Real-World Comparative Analysis. JMIR Formative Research 2020;4(10):e16094 View
  38. Vezyridis P, Timmons S. E-Infrastructures and the divergent assetization of public health data: Expectations, uncertainties, and asymmetries. Social Studies of Science 2021;51(4):606 View
  39. Nujić D, Musić Milanović S, Milas V, Miškulin I, Ivić V, Milas J. Association between child/adolescent overweight/obesity and conduct disorder: A systematic review and meta‐analysis. Pediatric Obesity 2021;16(5) View
  40. Thompson C, Jin A, Luft H, Lichtensztajn D, Allen L, Liang S, Schumacher B, Gomez S. Population-Based Registry Linkages to Improve Validity of Electronic Health Record–Based Cancer Research. Cancer Epidemiology, Biomarkers & Prevention 2020;29(4):796 View
  41. Davis B. Derogatory Language in Charting: The Domino Effect. Patient Safety 2021:74 View
  42. Koo M, Unger-Saldaña K, Mwaka A, Corbex M, Ginsburg O, Walter F, Calanzani N, Moodley J, Rubin G, Lyratzopoulos G. Conceptual Framework to Guide Early Diagnosis Programs for Symptomatic Cancer as Part of Global Cancer Control. JCO Global Oncology 2021;(7):35 View
  43. Kohane I, Aronow B, Avillach P, Beaulieu-Jones B, Bellazzi R, Bradford R, Brat G, Cannataro M, Cimino J, García-Barrio N, Gehlenborg N, Ghassemi M, Gutiérrez-Sacristán A, Hanauer D, Holmes J, Hong C, Klann J, Loh N, Luo Y, Mandl K, Daniar M, Moore J, Murphy S, Neuraz A, Ngiam K, Omenn G, Palmer N, Patel L, Pedrera-Jiménez M, Sliz P, South A, Tan A, Taylor D, Taylor B, Torti C, Vallejos A, Wagholikar K, Weber G, Cai T. What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask. Journal of Medical Internet Research 2021;23(3):e22219 View
  44. Rubinstein P, Middleton B, Goodman K, Lehmann C. Commercial Interests in Continuing Medical Education: Where Do Electronic Health Record Vendors Fit?. Academic Medicine 2020;95(11):1674 View
  45. Joling K, Koppel M, van Hout H, Onwuteaka‐Philipsen B, Francke A, Verheij R, Twisk J, van Marum R. Psychotropic drug prescription rates in primary care for people with dementia from recorded diagnosis onwards. International Journal of Geriatric Psychiatry 2021;36(3):443 View
  46. Quinn D, Mor M, Sileanu F, Zhao X, Callegari L, Zephyrin L, Frayne D, Borrero S. Measuring Female Veterans' Prepregnancy Wellness Using Department of Veterans Affairs' Health Record Data. Obstetrics & Gynecology 2021;137(3):471 View
  47. Koo M, Swann R, McPhail S, Abel G, Renzi C, Rubin G, Lyratzopoulos G. The prevalence of chronic conditions in patients diagnosed with one of 29 common and rarer cancers: A cross-sectional study using primary care data. Cancer Epidemiology 2020;69:101845 View
  48. Dückers M, Baliatsas C, Spreeuwenberg P, Verheij R, Reifels L, Yzermans C. Immediate and long-term health impact of exposure to gas-mining induced earthquakes and related environmental stressors. European Journal of Public Health 2021;31(4):715 View
  49. Wiegersma S, Flinterman L, Seghieri C, Baldini C, Paget J, Barrio Cortés J, Verheij R. Fitness for purpose of routinely recorded health data to identify patients with complex diseases: The case of Sjögren's syndrome. Learning Health Systems 2020;4(4) View
  50. L A, Sengan S, G K K, J V, Gopal J, Velayutham P, V S. Medical information retrieval systems for e-Health care records using fuzzy based machine learning model. Microprocessors and Microsystems 2020:103344 View
  51. Koné A, Scharf D. Prevalence of multimorbidity in adults with cancer, and associated health service utilization in Ontario, Canada: a population-based retrospective cohort study. BMC Cancer 2021;21(1) View
  52. Martinez-Garcia A, Naranjo-Saucedo A, Rivas J, Romero Tabares A, Marín Cassinello A, Andrés-Martín A, Sánchez Laguna F, Villegas R, Pérez León F, Moreno Conde J, Parra Calderón C. A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study. JMIR Medical Informatics 2021;9(3):e13182 View
  53. Peer K, Adams W, Legler A, Sandel M, Levy J, Boynton-Jarrett R, Kim C, Leibler J, Fabian M. Developing and evaluating a pediatric asthma severity computable phenotype derived from electronic health records. Journal of Allergy and Clinical Immunology 2021;147(6):2162 View
  54. Pine K, Bossen C. Good organizational reasons for better medical records: The data work of clinical documentation integrity specialists. Big Data & Society 2020;7(2):205395172096561 View
  55. Van den Bulck S, De Burghgraeve T, Raat W, Mamouris P, Coursier P, Vankrunkelsven P, Goderis G, Hermens R, Van Pottelbergh G, Vaes B. The effect of automated audit and feedback on data completeness in the electronic health record of the general physician: protocol for a cluster randomized controlled trial. Trials 2021;22(1) View
  56. García-de-León-Chocano R, Sáez C, Muñoz-Soler V, Oliver-Roig A, García-de-León-González R, García-Gómez J. Robust estimation of infant feeding indicators by data quality assessment of longitudinal electronic health records from birth up to 18 months of life. Computer Methods and Programs in Biomedicine 2021;207:106147 View
  57. Barbazza E, Klazinga N, Kringos D. Exploring the actionability of healthcare performance indicators for quality of care: a qualitative analysis of the literature, expert opinion and user experience. BMJ Quality & Safety 2021;30(12):1010 View
  58. Roseleur J, Gonzalez-Chica D, Bernardo C, Geisler B, Karnon J, Stocks N. Blood pressure control in Australian general practice: analysis using general practice records of 1.2 million patients from the MedicineInsight database. Journal of Hypertension 2021;39(6):1134 View
  59. Bennett W, Bramante C, Rothenberger S, Kraschnewski J, Herring S, Lent M, Clark J, Conroy M, Lehmann H, Cappella N, Gauvey-Kern M, McCullough J, McTigue K. Patient Recruitment Into a Multicenter Clinical Cohort Linking Electronic Health Records From 5 Health Systems: Cross-sectional Analysis. Journal of Medical Internet Research 2021;23(5):e24003 View
  60. Saunders G, Dillard L, Zobay O, Cannon J, Naylor G. Electronic Health Records As a Platform for Audiological Research: Data Validity, Patient Characteristics, and Hearing-Aid Use Persistence Among 731,213 U.S. Veterans. Ear & Hearing 2021;42(4):927 View
  61. DeRouen M, Thompson C, Canchola A, Jin A, Nie S, Wong C, Jain J, Lichtensztajn D, Li Y, Allen L, Patel M, Daida Y, Luft H, Shariff-Marco S, Reynolds P, Wakelee H, Liang S, Waitzfelder B, Cheng I, Gomez S. Integrating Electronic Health Record, Cancer Registry, and Geospatial Data to Study Lung Cancer in Asian American, Native Hawaiian, and Pacific Islander Ethnic Groups. Cancer Epidemiology, Biomarkers & Prevention 2021;30(8):1506 View
  62. Esposito P, Russo E, Picciotto D, Cappadona F, Battaglia Y, Traverso G, Viazzi F. Changes of Acute Kidney Injury Epidemiology during the COVID-19 Pandemic: A Retrospective Cohort Study. Journal of Clinical Medicine 2022;11(12):3349 View
  63. Hsu C, Huang K, Lin F, Ou H, Huang L, Kuo H, Wang C, Toh S. Continuity and Completeness of Electronic Health Record Data for Patients Treated With Oral Hypoglycemic Agents: Findings From Healthcare Delivery Systems in Taiwan. Frontiers in Pharmacology 2022;13 View
  64. Nova F, Pfafman R, Kardys K, Kerrigan C, Guha S, Pater J. Uncovering Adverse Childhood Experiences (ACEs) from Clinical Narratives within the Electronic Health Record. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  65. Naaman E, Bar N, Zaher E, Shapira L, Blumenthal E, Zhou J. Ophthalmologic emergency room visits during COVID-19 lockdown–Characterization from Haifa, Israel. PLOS ONE 2022;17(8):e0273033 View
  66. Ramerman L, Hek K, Cramer- van der Welle C, Simons-Winters E, Middelweerd A, Lambooij A, Verheij R. Incentivizing appropriate prescribing in primary care: Development and first results of an electronic health record-based pay-for-performance scheme. Health Policy 2022;126(10):1010 View
  67. Hek K, Rolfes L, van Puijenbroek E, Flinterman L, Vorstenbosch S, van Dijk L, Verheij R. Electronic Health Record–Triggered Research Infrastructure Combining Real-world Electronic Health Record Data and Patient-Reported Outcomes to Detect Benefits, Risks, and Impact of Medication: Development Study. JMIR Medical Informatics 2022;10(3):e33250 View
  68. van Doorn P, Schiphof D, Rozendaal R, Ottenheijm R, van der Lei J, Bindels P, de Schepper E. The use and safety of corticosteroid injections for shoulder pain in general practice: a retrospective cohort study. Family Practice 2022;39(3):367 View
  69. Wong B, Cross S, Zavaleta-Ramírez P, Bauda I, Hoffman P, Ibeziako P, Nussbaum L, Berger G, Hassanian-Moghaddam H, Kapornai K, Mehdi T, Tolmac J, Barrett E, Romaniuk L, Davico C, Moghraby O, Ostrauskaite G, Chakrabarti S, Carucci S, Sofi G, Hussain H, Lloyd A, McNicholas F, Meadowcroft B, Rao M, Csábi G, Gatica-Bahamonde G, Öğütlü H, Skouta E, Elvins R, Boege I, Dahanayake D, Anderluh M, Chandradasa M, Girela-Serrano B, Uccella S, Stevanovic D, Lamberti M, Piercey A, Nagy P, Mehta V, Rohanachandra Y, Li J, Tufan A, Mirza H, Rozali F, Baig B, Noor I, Fujita S, Gholami N, Hangül Z, Vasileva A, Salucci K, Bilaç Ö, Yektaş Ç, Cansız M, Aksu G, Babatunde S, Youssef F, Al-Huseini S, Kılıçaslan F, Kutuk M, Pilecka I, Bakolis I, Ougrin D. Self-Harm in Children and Adolescents Who Presented at Emergency Units During the COVID-19 Pandemic: An International Retrospective Cohort Study. Journal of the American Academy of Child & Adolescent Psychiatry 2023;62(9):998 View
  70. Boullenger L, Quindroit P, Legrand B, Balcaen T, Calafiore M, Rochoy M, Beuscart J, Chazard E. Type 2 diabetics followed up by family physicians: Treatment sequences and changes over time in weight and glycated hemoglobin. Primary Care Diabetes 2022;16(5):670 View
  71. Navar A, Cosmatos I, Purinton S, Ramsey J, Taylor R, Sobel R, Barlow G, Dieck G, Bulgrein M, Peterson E. Using EHR data to identify coronavirus infections in hospitalized patients: Impact of case definitions on disease surveillance. International Journal of Medical Informatics 2022;166:104842 View
  72. Borowski S, Rosellini A, Street A, Gradus J, Vogt D. The First Year After Military Service: Predictors of U.S. Veterans’ Suicidal Ideation. American Journal of Preventive Medicine 2022;63(2):233 View
  73. Anderson J, Mugavero M, Ivankova N, Reamey R, Varley A, Samuel S, Cherrington A. Adapting an Interdisciplinary Learning Health System Framework for Academic Health Centers: A Scoping Review. Academic Medicine 2022;97(10):1564 View
  74. Ding J, Cook A, Chua D, Licqurish S, Woolford M, Deckx L, Mitchell G, Johnson C. End-of-life care in general practice: clinic-based data collection. BMJ Supportive & Palliative Care 2022;12(e1):e155 View
  75. 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
  76. 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
  77. Swaleh R, McGuckin T, Campbell-Scherer D, Setchell B, Senior P, Yeung R. Real world challenges in integrating electronic medical record and administrative health data for regional quality improvement in diabetes: a retrospective cross-sectional analysis. BMC Health Services Research 2023;23(1) View
  78. Chapman A, Peterson K, Rutter E, Nevers M, Zhang M, Ying J, Jones M, Classen D, Jones B. Development and evaluation of an interoperable natural language processing system for identifying pneumonia across clinical settings of care and institutions. JAMIA Open 2022;5(4) View
  79. Assiri G, Alanazi B, AlRuthia Y. The Prevalence of High-Risk Prescribing of Oral Non-Steroidal Anti-Inflammatory Drugs in Primary Healthcare: A Single-Centre Retrospective Chart Review Study. Healthcare 2022;10(5):867 View
  80. Azizi B, Tilburgs B, van Hout H, van der Heide I, Verheij R, Achterberg W, van der Steen J, Joling K. Occurrence and Timing of Advance Care Planning in Persons With Dementia in General Practice: Analysis of Linked Electronic Health Records and Administrative Data. Frontiers in Public Health 2022;10 View
  81. Couso-Viana S, Bentué-Martínez C, Delgado-Martín M, Cabeza-Irigoyen E, León-Latre M, Concheiro-Guisán A, Rodríguez-Álvarez M, Román-Rodríguez M, Roca-Pardiñas J, Zúñiga-Antón M, García-Flaquer A, Pericàs-Pulido P, Sánchez-Recio R, González-Álvarez B, Rodríguez-Pastoriza S, Gómez-Gómez I, Motrico E, Jiménez-Murillo J, Rabanaque I, Clavería A. Analysis of the impact of social determinants and primary care morbidity on population health outcomes by combining big data: A research protocol. Frontiers in Medicine 2022;9 View
  82. Eggermont D, Kunst A, Hek K, Verheij R. Gender and age concordance between patient and GP: an observational study on associations with referral behaviour. BJGP Open 2022;6(4):BJGPO.2022.0091 View
  83. Fraile-Navarro D, Azcoaga-Lorenzo A, Agrawal U, Jani B, Fagbamigbe A, Currie D, Baldacchino A, Sullivan F. Development of an algorithm to classify primary care electronic health records of alcohol consumption: experience using data linkage from UK Biobank and primary care electronic health data sources. BMJ Open 2022;12(2):e054376 View
  84. Gianfrancesco M, Goldstein N. A narrative review on the validity of electronic health record-based research in epidemiology. BMC Medical Research Methodology 2021;21(1) View
  85. Dros J, Bos I, Bennis F, Wiegersma S, Paget J, Seghieri C, Barrio Cortés J, Verheij R. Detection of primary Sjögren’s syndrome in primary care: developing a classification model with the use of routine healthcare data and machine learning. BMC Primary Care 2022;23(1) View
  86. van Leeuwen G, de Schepper E, Rathleff M, Bindels P, Bierma-Zeinstra S, van Middelkoop M. Incidence and management of Osgood–Schlatter disease in general practice: retrospective cohort study. British Journal of General Practice 2022;72(717):e301 View
  87. Chen A, Huang R, Wu E, Han R, Wen J, Li Q, Zhang Z, Shen B. The Generation of a Lung Cancer Health Factor Distribution Using Patient Graphs Constructed From Electronic Medical Records: Retrospective Study. Journal of Medical Internet Research 2022;24(11):e40361 View
  88. Thuraisingam S, Chondros P, Dowsey M, Spelman T, Garies S, Choong P, Gunn J, Manski-Nankervis J. Assessing the suitability of general practice electronic health records for clinical prediction model development: a data quality assessment. BMC Medical Informatics and Decision Making 2021;21(1) View
  89. Canaway R, Boyle D, Manski-Nankervis J, Gray K. Identifying primary care datasets and perspectives on their secondary use: a survey of Australian data users and custodians. BMC Medical Informatics and Decision Making 2022;22(1) View
  90. Nicholson B, Ordóñez-Mena J, Lay-Flurrie S, Sheppard J, Liyanage H, McGagh D, Sherlock J, Williams J, Smith M, Drakesmith C, Thomas N, Morris E, Perera R, de Lusignan S, Hobbs F, Bankhead C. Consultations for clinical features of possible cancer and associated urgent referrals before and during the COVID-19 pandemic: an observational cohort study from English primary care. British Journal of Cancer 2022;126(6):948 View
  91. Barbazza E, Verheij R, Ramerman L, Klazinga N, Kringos D. Optimising the secondary use of primary care prescribing data to improve quality of care: a qualitative analysis. BMJ Open 2022;12(7):e062349 View
  92. Barbalho I, Fernandes F, Barros D, Paiva J, Henriques J, Morais A, Coutinho K, Coelho Neto G, Chioro A, Valentim R. Electronic health records in Brazil: Prospects and technological challenges. Frontiers in Public Health 2022;10 View
  93. Connelly M, Glynn E, Hoffman M, Bickel J. Rates and Predictors of Using Opioids in the Emergency Department to Treat Migraine in Adolescents and Young Adults. Pediatric Emergency Care 2021;37(12):e981 View
  94. Souza da Cunha S, Santorelli G, Pearce N, Wright J, Oddie S, Petherick E, Pembrey L. Evidence for causal associations between prenatal and postnatal antibiotic exposure and asthma in children, England. Clinical & Experimental Allergy 2021;51(11):1438 View
  95. Penrod N, Moore J. Antihypertensive effects of yoga in a general patient population: real-world evidence from electronic health records, a retrospective case-control study. BMC Public Health 2022;22(1) View
  96. de Man Y, Wieland-Jorna Y, Torensma B, de Wit K, Francke A, Oosterveld-Vlug M, Verheij R. Opt-In and Opt-Out Consent Procedures for the Reuse of Routinely Recorded Health Data in Scientific Research and Their Consequences for Consent Rate and Consent Bias: Systematic Review. Journal of Medical Internet Research 2023;25:e42131 View
  97. Mohammed H, Wang K, Wu H, Wang G. Subject-wise model generalization through pooling and patching for regression: Application on non-invasive systolic blood pressure estimation. Computers in Biology and Medicine 2022;151:106299 View
  98. Bednarčuk N, Golić Jelić A, Stoisavljević Šatara S, Stojaković N, Marković Peković V, Stojiljković M, Popović N, Škrbić R. Antibiotic Utilization during COVID-19: Are We Over-Prescribing?. Antibiotics 2023;12(2):308 View
  99. Koscielniak N, Tucker C, Grogan-Kaylor A, Friedman C, Richesson R, Tucker J, Piatt G. Evaluating Completeness of Discrete Data on Physical Functioning for Children With Cerebral Palsy in a Pediatric Rehabilitation Learning Health System. Physical Therapy 2022;102(1) View
  100. de Burgos‐Gonzalez A, Bryant V, Maciá‐Martinez M, Huerta C. A strategy for assessment and validation of major bleeding cases in a primary health care database in Spain. Pharmacoepidemiology and Drug Safety 2021;30(12):1696 View
  101. Van den Bulck S, Crèvecoeur J, Aertgeerts B, Delvaux N, Neyens T, Van Pottelbergh G, Coursier P, Vaes B, Rodrigues R. The impact of the Covid-19 pandemic on the incidence of diseases and the provision of primary care: A registry-based study. PLOS ONE 2022;17(7):e0271049 View
  102. Vesteghem C, Brøndum R, Mouritzen M, Christensen H, Bøgsted M, Falkmer U, Poulsen L. Thirty-Day Mortality Following Systemic Anticancer Therapy: Evaluating Risk Factors Without Selection Bias in a Real-World, Population-Based Cohort From 2009 to 2019. Clinical Oncology 2022;34(8):487 View
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  121. Vashisht R, Patel A, Dahm L, Han C, Medders K, Mowers R, Byington C, Koliwad S, Butte A. Second-Line Pharmaceutical Treatments for Patients with Type 2 Diabetes. JAMA Network Open 2023;6(10):e2336613 View
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Books/Policy Documents

  1. Mistry P. Artificial Intelligence in Medicine. View
  2. Mistry P. Artificial Intelligence in Medicine. View
  3. Mistry P. Artificial Intelligence in Medicine. View