Use of Natural Language Processing to Assess Frequency of Functional Status Documentation for Patients Newly Diagnosed With Colorectal Cancer

Author:

Agaronnik Nicole1,Lindvall Charlotta23,El-Jawahri Areej45,He Wei6,Iezzoni Lisa14

Affiliation:

1. Health Policy Research Center–Mongan Institute, Massachusetts General Hospital, Boston

2. Department of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, Massachusetts

3. Division of Palliative Medicine, Brigham and Women’s Hospital, Boston, Massachusetts

4. Department of Medicine, Harvard Medical School, Boston, Massachusetts

5. Division of Hematology and Oncology, Massachusetts General Hospital, Boston

6. Division of General Internal Medicine, Massachusetts General Hospital, Boston

Publisher

American Medical Association (AMA)

Subject

Oncology,Cancer Research

Reference5 articles.

1. Performance status in patients with cancer.;West;JAMA Oncol,2015

2. An evaluation of algorithms for identifying metastatic breast, lung, or colorectal cancer in administrative claims data.;Whyte;Med Care,2015

3. Natural language processing to assess end-of-life quality indicators in cancer patients receiving palliative surgery.;Lindvall;J Palliat Med,2019

4. Challenges of developing a natural language processing method with electronic health records to identify persons with chronic mobility disability.;Agaronnik;Arch Phys Med Rehabil

5. Lack of documentation of evidence-based prognostication in cancer patients by inpatient palliative care consultants.;Bruggeman;J Palliat Med,2015

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