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Citing this Article

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Published on 07.08.18 in Vol 20, No 8 (2018): August

This paper is in the following e-collection/theme issue:

Works citing "Forecasting the Maturation of Electronic Health Record Functions Among US Hospitals: Retrospective Analysis and Predictive Model"

Hadi Kharrazi, Claudia P Gonzalez, Kevin B Lowe, Timothy R Huerta, Eric W Ford

J Med Internet Res 2018 (Aug 07); 20(8):e10458 

According to Crossref, the following articles are citing this article (DOI 10.2196/10458):

(note that this is only a small subset of citations)

  1. Esdar M, Hüsers J, Weiß J, Rauch J, Hübner U. Diffusion dynamics of electronic health records: A longitudinal observational study comparing data from hospitals in Germany and the United States. International Journal of Medical Informatics 2019;131:103952
    CrossRef
  2. Kan HJ, Kharrazi H, Chang H, Bodycombe D, Lemke K, Weiner JP, Stiglic G. Exploring the use of machine learning for risk adjustment: A comparison of standard and penalized linear regression models in predicting health care costs in older adults. PLOS ONE 2019;14(3):e0213258
    CrossRef
  3. Chen T, Dredze M, Weiner JP, Kharrazi H. Identifying vulnerable older adult populations by contextualizing geriatric syndrome information in clinical notes of electronic health records. Journal of the American Medical Informatics Association 2019;26(8-9):787
    CrossRef
  4. Hatef E, Rouhizadeh M, Tia I, Lasser E, Hill-Briggs F, Marsteller J, Kharrazi H. Assessing the Availability of Data on Social and Behavioral Determinants in Structured and Unstructured Electronic Health Records: A Retrospective Analysis of a Multilevel Health Care System. JMIR Medical Informatics 2019;7(3):e13802
    CrossRef
  5. Melnick ER, Dyrbye LN, Sinsky CA, Trockel M, West CP, Nedelec L, Tutty MA, Shanafelt T. The Association Between Perceived Electronic Health Record Usability and Professional Burnout Among US Physicians. Mayo Clinic Proceedings 2020;95(3):476
    CrossRef
  6. Brice YN, Joynt Maddox KE. Is duration of hospital participation in meaningful use associated with value in Medicare?. JAMIA Open 2019;2(2):238
    CrossRef
  7. Hatef E, Weiner JP, Kharrazi H. A public health perspective on using electronic health records to address social determinants of health: The potential for a national system of local community health records in the United States. International Journal of Medical Informatics 2019;124:86
    CrossRef
  8. Alexander GL, Georgiou A, Siette J, Madsen R, Livingstone A, Westbrook J, Deroche C. Exploring information technology (IT) sophistication in New South Wales residential aged care facilities. Australian Health Review 2020;44(2):288
    CrossRef
  9. Chen T, Dredze M, Weiner JP, Hernandez L, Kimura J, Kharrazi H. Extraction of Geriatric Syndromes From Electronic Health Record Clinical Notes: Assessment of Statistical Natural Language Processing Methods. JMIR Medical Informatics 2019;7(1):e13039
    CrossRef
  10. Abbasi R, Khajouei R, Mirzaee M. Evaluating the demographic and clinical minimum data sets of Iranian National Electronic Health Record. BMC Health Services Research 2019;19(1)
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  11. Messino PJ, Kharrazi H, Kim JM, Lehmann H. A method for measuring the effect of certified electronic health record technology on childhood immunization status scores among Medicaid managed care network providers. Journal of Biomedical Informatics 2020;110:103567
    CrossRef
  12. Liang J, Li Y, Zhang Z, Shen D, Xu J, Yu G, Dai S, Ge F, Lei J. Evaluating the Applications of Health Information Technologies in China During the Past 11 Years: Consecutive Survey Data Analysis. JMIR Medical Informatics 2020;8(2):e17006
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  13. Bery AK, Anzaldi LJ, Boyd CM, Leff B, Kharrazi H. Potential value of electronic health records in capturing data on geriatric frailty for population health. Archives of Gerontology and Geriatrics 2020;91:104224
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  14. Tarabichi Y, Goyden J, Liu R, Lewis S, Sudano J, Kaelber DC. A step closer to nationwide electronic health record–based chronic disease surveillance: characterizing asthma prevalence and emergency department utilization from 100 million patient records through a novel multisite collaboration. Journal of the American Medical Informatics Association 2020;27(1):127
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  15. Park Y, Kim YS, Yi B, Kim SM. Clinical Decision Support Functions and Digitalization of Clinical Documents of Electronic Medical Record Systems. Healthcare Informatics Research 2019;25(2):115
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  16. Kawaguchi H, Koike S, Ohe K. Facility and Regional Factors Associated With the New Adoption of Electronic Medical Records in Japan: Nationwide Longitudinal Observational Study. JMIR Medical Informatics 2019;7(2):e14026
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  17. Fischer SH, Rudin RS, Shi Y, Shekelle P, Amill-Rosario A, Scanlon D, Damberg CL. Trends in the use of computerized physician order entry by health-system affiliated ambulatory clinics in the United States, 2014–2016. BMC Health Services Research 2020;20(1)
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  18. Savinkina A, Sapiano MRP, Berger J, Basavaraju SV. Is surgical volume still the most accurate indicator of blood usage in the United States?. Transfusion 2019;59(3):1125
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  19. Hannan EL, Barrett SC, Samadashvili Z, Schmaltz SP. Retooling of Paper-based Outcome Measures to Electronic Format. Medical Care 2019;57(5):377
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  20. Ma X, Jung C, Chang H, Richards TM, Kharrazi H. Assessing the Population-Level Correlation of Medication Regimen Complexity and Adherence Indices Using Electronic Health Records and Insurance Claims. Journal of Managed Care & Specialty Pharmacy 2020;26(7):860
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  21. Kanakubo T, Kharrazi H. Comparing the Trends of Electronic Health Record Adoption Among Hospitals of the United States and Japan. Journal of Medical Systems 2019;43(7)
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  22. Ke C, Stukel TA, Luk A, Shah BR, Jha P, Lau E, Ma RCW, So W, Kong AP, Chow E, Chan JCN. Development and validation of algorithms to classify type 1 and 2 diabetes according to age at diagnosis using electronic health records. BMC Medical Research Methodology 2020;20(1)
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  23. Krasuska M, Williams R, Sheikh A, Franklin BD, Heeney C, Lane W, Mozaffar H, Mason K, Eason S, Hinder S, Dunscombe R, Potts HWW, Cresswell K. Technological Capabilities to Assess Digital Excellence in Hospitals in High Performing Health Care Systems: International eDelphi Exercise. Journal of Medical Internet Research 2020;22(8):e17022
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  24. Schenk E, Marks N, Hoffman K, Goss L. Four Years Later. JONA: The Journal of Nursing Administration 2021;51(1):43
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  25. Flynn AJ, Fortier C, Maehlen H, Pierzinski V, Runnebaum R, Sullivan M, Wagner J, Stevenson JG. A strategic approach to improving pharmacy enterprise automation: Development and initial application of the Autonomous Pharmacy Framework. American Journal of Health-System Pharmacy 2021;78(7):636
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  26. Kharrazi H, Ma X, Chang H, Richards TM, Jung C. Comparing the Predictive Effects of Patient Medication Adherence Indices in Electronic Health Record and Claims-Based Risk Stratification Models. Population Health Management 2021;24(5):601
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  27. Esdar M, Liebe J, Thye J, Babitsch B, Hübner U. The Effect of Health Care Organizations’ Innovation Capabilities on the Quality of Health Information Technology: Development of an Empirical Model (Preprint). JMIR Medical Informatics 2020;
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  28. Liang J, Li Y, Zhang Z, Shen D, Xu J, Zheng X, Wang T, Tang B, Lei J, Zhang J. Adoption of Electronic Health Records (EHRs) in China During the Past 10 Years: Consecutive Survey Data Analysis and Comparison of Sino-American Challenges and Experiences. Journal of Medical Internet Research 2021;23(2):e24813
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  29. Fitzgerald MP, Kaufman MC, Massey SL, Fridinger S, Prelack M, Ellis C, Ortiz‐Gonzalez X, Fried LE, DiGiovine MP, Melamed S, Malcolm M, Banwell B, Stephenson D, Witzman SM, Gonzalez A, Dlugos D, Kessler SK, Goldberg EM, Abend NS, Helbig I. Assessing seizure burden in pediatric epilepsy using an electronic medical record–based tool through a common data element approach. Epilepsia 2021;62(7):1617
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  30. Tarabichi Y, Frees A, Honeywell S, Huang C, Naidech AM, Moore JH, Kaelber DC. The Cosmos Collaborative: A Vendor-Facilitated Electronic Health Record Data Aggregation Platform. ACI Open 2021;05(01):e36
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  31. Troeung L, Tshering G, Walton R, Martini A, Roberts M. Optimising the quality of clinical data in an Australian aged care and disability service to improve care delivery and clinical outcomes (OPTIMISE): Protocol for an Agile Lean Six Sigma study (Preprint). JMIR Research Protocols 2022;
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  32. . Standards for Professional Registered Nurse Staffing for Perinatal Units. Journal of Obstetric, Gynecologic & Neonatal Nursing 2022;51(4):S5
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  33. . Standards for Professional Registered Nurse Staffing for Perinatal Units. Nursing for Women's Health 2022;26(4):e1
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  34. Husain A, Sridharma S, Baker MD, Kharrazi H. Incidence and Geographic Distribution of Injuries Due to Falls Among Pediatric Communities of Maryland. Pediatric Emergency Care 2021;37(11):e736
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  35. Kabukye JK, Kakungulu E, Keizer ND, Cornet R. Digital health in oncology in Africa: A scoping review and cross-sectional survey. International Journal of Medical Informatics 2022;158:104659
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  36. Nair SS, Li C, Doijad R, Nagy P, Lehmann H, Kharrazi H. A scoping review of knowledge authoring tools used for developing computerized clinical decision support systems. JAMIA Open 2021;4(4)
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  37. Salmanizadeh F, Ameri A, Ahmadian L, Mirmohammadi M, Khajouei R. Determining the requirements of a medical records electronic deficiency management system: a mixed-method study. Records Management Journal 2022;32(3):288
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  38. Hatef E, Ma X, Shaikh Y, Kharrazi H, Weiner JP, Gaskin DJ. Internet Access, Social Risk Factors, and Web-Based Social Support Seeking Behavior: Assessing Correlates of the “Digital Divide” Across Neighborhoods in The State of Maryland. Journal of Medical Systems 2021;45(11)
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  39. Hatef E, Singh Deol G, Rouhizadeh M, Li A, Eibensteiner K, Monsen CB, Bratslaver R, Senese M, Kharrazi H. Measuring the Value of a Practical Text Mining Approach to Identify Patients With Housing Issues in the Free-Text Notes in Electronic Health Record: Findings of a Retrospective Cohort Study. Frontiers in Public Health 2021;9
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  40. Howson SN, McShea MJ, Ramachandran R, Burkom HS, Chang H, Weiner JP, Kharrazi H. Improving the Prediction of Persistent High Health Care Utilizers: Retrospective Analysis Using Ensemble Methodology. JMIR Medical Informatics 2022;10(3):e33212
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  41. Ramachandran R, McShea MJ, Howson SN, Burkom HS, Chang H, Weiner JP, Kharrazi H. Assessing the Value of Unsupervised Clustering in Predicting Persistent High Health Care Utilizers: Retrospective Analysis of Insurance Claims Data. JMIR Medical Informatics 2021;9(11):e31442
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  42. Woods L, Eden R, Pearce A, Wong YCI, Jayan L, Green D, McNeil K, Sullivan C. Evaluating Digital Health Capability at Scale Using the Digital Health Indicator. Applied Clinical Informatics 2022;13(05):991
    CrossRef
  43. Sly B, Russell AW, Sullivan C. Digital interventions to improve safety and quality of inpatient diabetes management: A systematic review. International Journal of Medical Informatics 2022;157:104596
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  44. Wang G, Zheng F, Zhang G, Huang Y, Ye Q, Zhang X, Li X, Xu Y, Zhang X, Zhang X, Li Z. Intercepting Medication Errors in Pediatric In-patients Using a Prescription Pre-audit Intelligent Decision System: A Single-center Study. Pediatric Drugs 2022;24(5):555
    CrossRef
  45. Abbate S, Centobelli P, Cerchione R, Oropallo E, Riccio E. Blockchain Technology for Embracing Healthcare 4.0. IEEE Transactions on Engineering Management 2023;70(8):2998
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  46. Wu W, Holkeboer KJ, Kolawole TO, Carbone L, Mahmoudi E. Natural language processing to identify social determinants of health in Alzheimer's disease and related dementia from electronic health records. Health Services Research 2023;58(6):1292
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  47. Gerdsri N, Vayvay , Punnakittikashem P, Kalender ZT, Thuwajit C, Wongsawa Y. Guest Editorial: New Perspectives on Technology and Innovation Management to Strengthen the Development of Healthcare Organizations and Ecosystems. IEEE Transactions on Engineering Management 2023;70(8):2631
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According to Crossref, the following books are citing this article (DOI 10.2196/10458):

  1. Kharrazi H, Gamache R, Weiner J. Public Health Informatics and Information Systems. 2020. Chapter 5:59
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  2. Guillod P, Sabouri AS. Personalized Medicine in Anesthesia, Pain and Perioperative Medicine. 2021. Chapter 14:303
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  3. Ulapane N, Wickramasinghe N. Optimizing Health Monitoring Systems With Wireless Technology. 2020. chapter 4:32
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  4. Espino Carrasco DK, Reyes Pérez MD, Rojas Palacios LE, Pérez Vargas CGA, Gómez Fuertes A. HCI International 2022 – Late Breaking Posters. 2022. Chapter 53:420
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  5. Karthick GS, Sridhar M. Contemporary Applications of Data Fusion for Advanced Healthcare Informatics. 2023. chapter 1:1
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  6. Espino Carrasco DK, Arbulú Pérez Vargas CG, Reyes Perez MD, Rojas Palacios LE, Facho Cornejo JL, Dávila Valdera LJ, Espino Carrasco M, Alvites Gasco AM, Díaz Lazarte JW. HCI International 2023 Posters. 2023. Chapter 24:187
    CrossRef