Machine learning applied to electronic health record data in home healthcare: a scoping review

M Hobensack, J Song, D Scharp, KH Bowles… - International journal of …, 2023 - Elsevier
Objective Despite recent calls for home healthcare (HHC) to integrate informatics, the
application of machine learning in HHC is relatively unknown. Thus, this study aimed to …

Identifying high-need primary care patients using nursing knowledge and machine learning methods

S Hewner, E Smith, SS Sullivan - Applied Clinical Informatics, 2023 - thieme-connect.com
Background Patient cohorts generated by machine learning can be enhanced with clinical
knowledge to increase translational value and provide a practical approach to patient …

The Paradox of Choice in Palliative Care Decision-Making in Managed Long-Term Care: A Qualitative Study

J Song, L Ramlogan, S Vergez… - Home Health Care …, 2024 - journals.sagepub.com
Palliative care offers undeniable advantages to elderly patients with multiple chronic
illnesses in managed long-term care. However, only approximately 14% of those who …

A Description of Persons With Alzheimer Disease and Related Dementias Receiving Home Health Care: A National Analysis

ZT Osakwe, CU Obioha, K Muller… - Journal of Hospice & …, 2022 - journals.lww.com
The end-of-life period of individuals with Alzheimer disease and related dementias receiving
home health care (HHC) is understudied. We sought to describe characteristics of HHC …

TILE-12 index: an interpretable instrument for identifying older adults at risk for transitions in living environment within the next 12-months

M Roma, SS Sullivan, S Casucci - Home health care services …, 2022 - Taylor & Francis
Few evidence-based tools exist to support identification of older community dwelling adults
at risk for unwanted transitions in living environment leading to missed opportunities to …

[引用][C] Applied Clinical Informatics