Predicting need for advanced illness or palliative care in a primary care population using electronic health record data-Reference-Cited by-同舟云学术

Predicting need for advanced illness or palliative care in a primary care population using electronic health record data

Published:2019-04 Issue: Volume:92 Page:103115
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Jung Kenneth,Sudat Sylvia E.K.,Kwon Nicole,Stewart Walter F.,Shah Nigam H.

Funder

U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services

U.S. National Library of Medicine

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference63 articles.

1. Impact of home-based, patient-centered support for people with advanced illness in an open health system: a retrospective claims analysis of health expenditures, utilization, and quality of care at end of life;Sudat;Palliat Med.,2017

2. Site of death, place of care, and health care transitions among us medicare beneficiaries, 2000–2015;Teno;JAMA,2018

3. T. Dumanovsky, R. Augustin, Rogers - Journal of palliative … M, 2016. The growth of palliative care in US hospitals: a status report. online.liebertpub.com. 2016; Available: http://online.liebertpub.com/doi/abs/10.1089/jpm.2015.0351.

4. Gaps in the use of palliative care in US hospitals (FR461D);Vaughn;J. Pain Symptom Manage.,2017

5. Perceived Barriers to Goals of Care Discussions With Patients With Advanced Cancer and Their Families in the Ambulatory Setting: A Multicenter Survey of Oncologists;Ethier;J Palliat Care.,2018

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prospective Evaluation of a 90-day Mortality Prediction Model: From Silent Pilots to Real Time Deployment in the EHR^*;2023-01-28

2. Prospective Comparison of Medical Oncologists and a Machine Learning Model to Predict 3-Month Mortality in Patients With Metastatic Solid Tumors;JAMA Network Open;2022-05-31

3. Complementary frailty and mortality prediction models on older patients as a tool for assessing palliative care needs;Health Informatics Journal;2022-01

4. Predicting potential palliative care beneficiaries for health plans: A generalized machine learning pipeline;Journal of Biomedical Informatics;2021-11

5. Improving time to palliative care review with predictive modeling in an inpatient adult population: study protocol for a stepped-wedge, pragmatic randomized controlled trial;Trials;2021-09-16