PALTmed, in collaboration with the LTPAC HIT Collaborative, has made a significant appeal to lawmakers to extend Medicare telehealth policies that were initially implemented during the pandemic. The collaborative is advocating for a two-year extension of these policies, emphasizing their critical role in a...
To evaluate a machine learning model designed to predict mortality for Medicare beneficiaries aged >65 years treated for hip fracture in Inpatient Rehabilitation Facilities (IRFs).
The study aimed to develop a machine learning (ML) model to predict early postdischarge falls in older adults using data that are easy to collect in acute care hospitals. This may reduce the burden imposed by complex measures on patients and health care staff.
Primary purpose was to generate a model to identify key factors relevant to acute care hospital readmission within 90 days from 3 types of post-acute care (PAC) sites: home with home care services (HC), skilled nursing facility (SNF), and inpatient rehabilitation facility (IRF). Specific aims were to (1) e...