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

Preprints (earlier versions) of this paper are available at, first published .
Forecasting the Maturation of Electronic Health Record Functions Among US Hospitals: Retrospective Analysis and Predictive Model

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

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


  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 View
  2. Kan H, Kharrazi H, Chang H, Bodycombe D, Lemke K, Weiner J, 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 View
  3. Chen T, Dredze M, Weiner J, 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 View
  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 View
  5. Melnick E, Dyrbye L, Sinsky C, Trockel M, West C, Nedelec L, Tutty M, Shanafelt T. The Association Between Perceived Electronic Health Record Usability and Professional Burnout Among US Physicians. Mayo Clinic Proceedings 2020;95(3):476 View
  6. Brice Y, Joynt Maddox K. Is duration of hospital participation in meaningful use associated with value in Medicare?. JAMIA Open 2019;2(2):238 View
  7. Hatef E, Weiner J, 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 View
  8. Alexander G, 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 View
  9. Chen T, Dredze M, Weiner J, 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 View
  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) View
  11. Messino P, Kharrazi H, Kim J, 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 View
  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 View
  13. Bery A, Anzaldi L, Boyd C, 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 View
  14. Tarabichi Y, Goyden J, Liu R, Lewis S, Sudano J, Kaelber D. 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 View
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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 View
  17. Fischer S, Rudin R, Shi Y, Shekelle P, Amill-Rosario A, Scanlon D, Damberg C. 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) View
  18. Savinkina A, Sapiano M, Berger J, Basavaraju S. Is surgical volume still the most accurate indicator of blood usage in the United States?. Transfusion 2019;59(3):1125 View
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  20. Ma X, Jung C, Chang H, Richards T, 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 View
  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) View
  22. Ke C, Stukel T, Luk A, Shah B, Jha P, Lau E, Ma R, So W, Kong A, Chow E, Chan J. 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) View
  23. Krasuska M, Williams R, Sheikh A, Franklin B, Heeney C, Lane W, Mozaffar H, Mason K, Eason S, Hinder S, Dunscombe R, Potts H, 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 View
  24. Schenk E, Marks N, Hoffman K, Goss L. Four Years Later. JONA: The Journal of Nursing Administration 2021;51(1):43 View
  25. Flynn A, Fortier C, Maehlen H, Pierzinski V, Runnebaum R, Sullivan M, Wagner J, Stevenson J. 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 View
  26. Kharrazi H, Ma X, Chang H, Richards T, 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 View
  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 View
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  33. . Standards for Professional Registered Nurse Staffing for Perinatal Units. Nursing for Women's Health 2022;26(4):e1 View
  34. Husain A, Sridharma S, Baker M, Kharrazi H. Incidence and Geographic Distribution of Injuries Due to Falls Among Pediatric Communities of Maryland. Pediatric Emergency Care 2021;37(11):e736 View
  35. Kabukye J, Kakungulu E, Keizer N, Cornet R. Digital health in oncology in Africa: A scoping review and cross-sectional survey. International Journal of Medical Informatics 2022;158:104659 View
  36. Nair S, 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) View
  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 View
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  39. Hatef E, Singh Deol G, Rouhizadeh M, Li A, Eibensteiner K, Monsen C, 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 View
  40. Howson S, McShea M, Ramachandran R, Burkom H, Chang H, Weiner J, Kharrazi H. Improving the Prediction of Persistent High Health Care Utilizers: Retrospective Analysis Using Ensemble Methodology. JMIR Medical Informatics 2022;10(3):e33212 View
  41. Ramachandran R, McShea M, Howson S, Burkom H, Chang H, Weiner J, 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 View
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Books/Policy Documents

  1. Kharrazi H, Gamache R, Weiner J. Public Health Informatics and Information Systems. View
  2. Guillod P, Sabouri A. Personalized Medicine in Anesthesia, Pain and Perioperative Medicine. View
  3. Ulapane N, Wickramasinghe N. Optimizing Health Monitoring Systems With Wireless Technology. View
  4. Espino Carrasco D, Reyes Pérez M, Rojas Palacios L, Pérez Vargas C, Gómez Fuertes A. HCI International 2022 – Late Breaking Posters. View
  5. Karthick G, Sridhar M. Contemporary Applications of Data Fusion for Advanced Healthcare Informatics. View
  6. Espino Carrasco D, Arbulú Pérez Vargas C, Reyes Perez M, Rojas Palacios L, Facho Cornejo J, Dávila Valdera L, Espino Carrasco M, Alvites Gasco A, Díaz Lazarte J. HCI International 2023 Posters. View