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Title:
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MANAGING THE KNEE ARTHROPLASTY EPISODE OF CARE THROUGH AN INTEGRATED KNOWLEDGE NETWORK |
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Author(s):
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Nilmini Wickramasinghe, Dominic King, Nicholas Piuzzi, Judith Welsh and Jonathan Schaffer |
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ISBN:
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978-989-8704-26-9 |
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Editors:
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Piet Kommers and Pedro Isaías |
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Year:
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2021 |
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Edition:
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Single |
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Keywords:
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Episode of Care, Patient Operative Journey, Healthcare Value Proposition, Intelligence Continuum, Knowledge
Management |
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Type:
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Short |
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First Page:
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259 |
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Last Page:
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263 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The reality of today's healthcare environment includes escalating costs and increasing pressure to deliver high quality, high
value, and patient-centered care while simultaneously improving access and controlling costs. As the population ages, our
knees degenerate and patients often present for knee replacement, known as knee arthroplasty. The growing aging
population translates into significant increases in the demand of knee arthroplasty. For prudent knee arthroplasty episode
of care management, the usual mechanistic approach, focusing on a cause to effect chain of actions are insufficient to
provide statistical modelling that can forecast patient clinical outcomes including complication risks. Collecting relevant
data will facilitate decisions by patients and providers, yet in knee arthroplasty, there is incomplete physiologic and
psychosocial data that charts the entire episode of care from presentation to full recovery. To address the episode of care
for knee arthroplasty, we design and develop a sophisticated integrated knowledge network that can be used to statistically
model care pathways that will in turn ensure effective, efficient and efficacious processes. Specifically, we focus on the
first step of the episode of care which is surgical decision making that should be shared by patients and providers.
Engagement of the patient is desired and considered critical to a successful outcome, yet few programs exist which model
specific mitigatable variables such as body mass index, co-morbidities and patient participation in the postoperative
rehabilitation. Our integrated knowledge network is based on integrating a well-known industrial and military decision
support tool into our intelligence continuum yielding real time integration of critical data and information while
simultaneously capturing tacit knowledge that can enhance optimal clinical outcomes and patient experience. |
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