Published on in Vol 9, No 3 (2017):

A State-wide Health IT Infrastructure for Population Health: Building a Community-wide Electronic Platform for Maryland’s All-Payer Global Budget

A State-wide Health IT Infrastructure for Population Health: Building a Community-wide Electronic Platform for Maryland’s All-Payer Global Budget

A State-wide Health IT Infrastructure for Population Health: Building a Community-wide Electronic Platform for Maryland’s All-Payer Global Budget

The full text of this article is available as a PDF download by clicking here.

Journals

  1. Shahzad M, Upshur R, Donnelly P, Bharmal A, Wei X, Feng P, Brown A. A population-based approach to integrated healthcare delivery: a scoping review of clinical care and public health collaboration. BMC Public Health 2019;19(1) View
  2. 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
  3. 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
  4. Lai J, Klag M, Shikako‐Thomas K. Designing a program evaluation for a medical‐dental service for adults with autism and intellectual disabilities using the RE‐AIM framework. Learning Health Systems 2019;3(3) View
  5. Predmore Z, Hatef E, Weiner J. Integrating Social and Behavioral Determinants of Health into Population Health Analytics: A Conceptual Framework and Suggested Road Map. Population Health Management 2019;22(6):488 View
  6. Kharrazi H, Anzaldi L, Hernandez L, Davison A, Boyd C, Leff B, Kimura J, Weiner J. The Value of Unstructured Electronic Health Record Data in Geriatric Syndrome Case Identification. Journal of the American Geriatrics Society 2018;66(8):1499 View
  7. 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
  8. 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
  9. Hatef E, Ma X, Shaikh Y, Kharrazi H, Weiner J, Gaskin D. 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) View
  10. 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
  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. 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

Books/Policy Documents

  1. Kharrazi H, Gamache R, Weiner J. Public Health Informatics and Information Systems. View
  2. Kharrazi H, Horrocks D, Weiner J. Health Information Exchange. View