Published on in Vol 9, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18756, first published .
Measuring Adoption of Patient Priorities–Aligned Care Using Natural Language Processing of Electronic Health Records: Development and Validation of the Model

Measuring Adoption of Patient Priorities–Aligned Care Using Natural Language Processing of Electronic Health Records: Development and Validation of the Model

Measuring Adoption of Patient Priorities–Aligned Care Using Natural Language Processing of Electronic Health Records: Development and Validation of the Model

Journals

  1. Burke R, Ashcraft L, Manges K, Kinosian B, Lamberton C, Bowen M, Brown R, Mavandadi S, Hall D, Werner R. What matters when it comes to measuring Age‐Friendly Health System transformation. Journal of the American Geriatrics Society 2022;70(10):2775 View
  2. Maghsoudi A, Nowakowski S, Agrawal R, Sharafkhaneh A, Kunik M, Naik A, Xu H, Razjouyan J. Sentiment Analysis of Insomnia-Related Tweets via a Combination of Transformers Using Dempster-Shafer Theory: Pre– and Peri–COVID-19 Pandemic Retrospective Study. Journal of Medical Internet Research 2022;24(12):e41517 View
  3. Samper-Ternent R, Razjouyan J, Dindo L, Halaszynski J, Silva J, Fried T, Naik A. Patient Priorities Care Increases Long-Term Service and Support Use: Propensity Match Cohort Study. Journal of the American Medical Directors Association 2024;25(5):751 View
  4. Liang E, Pei S, Staibano P, van der Woerd B. Clinical applications of large language models in medicine and surgery: A scoping review. Journal of International Medical Research 2025;53(7) View
  5. Chua I, Berler A, Ninteau K, Bain P, Fromme E, Edelen M, Pusic A, Ritchie C, Bates D. Patient-Centered Measures of Goal Concordance in Geriatrics and Palliative Care. JAMA Network Open 2025;8(9):e2530370 View