Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/909
Title: Intelligent home risk based monitoring solutions that enable post-acute care surveillance.
Epworth Authors: Wickramasinghe, Nilmini
Other Authors: Schaffer, Jonathan
Keywords: Home Monitoring
e-Risk
Intelligent Risk Monitoring Solution
Residential Edge-Care Services and Facilities
Home-Based Monitoring Technologies
Long-Term Surveillance
Hip Replacement
Hip Arthroplasty
Knee Replacement
Knee Arthroplasty
Epworth Chair in Health Information Management, Epworth HealthCare, Melbourne, Victoria, Australia
Musculoskeletal Clinical Institute, Epworth HealthCare, Victoria, Australia
Issue Date: Aug-2016
Conference: HIMSS AsiaPac16 Conference
Conference Location: Bangkok, Thailand
Abstract: The advancing age of the baby boomer, coupled with increased life spans, has led to a significant increase in the number of senior citizens in many countries. These populations of citizens are projected to significantly impact current and future healthcare resources. Providing care for this population in the acute care setting is only one aspect of the total care package that needs to be addressed. For those having been in the acute care setting for either medical treatment or following procedural-based therapies, the discharge to home often provides an opportunity to continue the post acute care monitoring to ensure that complications or readmissions do not occur. Monitoring care and providing guidance and medical management at home will offer patients, families, facilities and providers with the opportunity to ensure recovery and return to a healthy steady state. To explore this issue further, the following examines the possibilities for monitoring postoperative clinical functions in the context of total knee and/or total hip arthroplasty. Specifically, this research in progress serves to proffer a conceptual model that can then guide a randomised clinical trial to test the presented hypotheses and model.
URI: http://hdl.handle.net/11434/909
Type: Conference Paper
Affiliated Organisations: Deakin University, Victoria, Australia
Cleveland Clinic, Ohio, USA
Appears in Collections:Health Informatics

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