Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Keith Stockman"'
Autor:
Denise Ferrier, Donald Campbell, Chris Hamilton, Peter McNair, Rosa Rocca, Tanya Sewards, Simon Waters, Carmel Martin, Keith Stockman
Publikováno v:
International Journal of Integrated Care, Vol 19, Iss 4 (2019)
Background: In the context of increasing demand and constrained funding, delivering holistic, effective and efficient models of care that reduce reliance on hospitals without increasing service costs is a priority. HealthLinks: Chronic Care uses fund
Externí odkaz:
https://doaj.org/article/10dffd0fff5346b9b37582a4b149dbe2
Publikováno v:
International Journal of Integrated Care, Vol 19, Iss 4 (2019)
Introduction: Multiple dynamics of internal and external network interactions result in the emergent observable state of a person’s health and care. A tsunami of Big Data predictions are developing to identify specific interventions to improve heal
Externí odkaz:
https://doaj.org/article/cdca00e3350d4918be98e29573341711
Publikováno v:
International Journal of Integrated Care, Vol 19, Iss 4 (2019)
Introduction: Potentially preventable hospitalizations (PPH) are hospitalizations that could be avoided with ambulatory care. Post hospital syndrome(PHS) is described as a transient period of generalized susceptibility, after hospital discharge, to d
Externí odkaz:
https://doaj.org/article/b32fdec811de49e8885cd6428e1556a6
Publikováno v:
Frontiers in Public Health, Vol 6 (2019)
Purpose: Potentially preventable hospitalizations (PPH) are minimized when adults (usually with multiple morbidities ± frailty) benefit from alternatives to emergency hospital use. A complex systems and anticipatory journey approach to PPH, the Pati
Externí odkaz:
https://doaj.org/article/234775551a164463bf50c8e2f11c6138
Publikováno v:
Journal of Evaluation in Clinical Practice
Rationale, Aims, and Objectives HealthLinks: Chronic Care is a state‐wide public hospital initiative designed to improve care for cohorts at‐risk of potentially preventable hospitalizations at no extra cost. MonashWatch (MW) is an hospital outrea
Publikováno v:
Internal Medicine Journal. 50:222-231
Background Standardised structure and content of interdisciplinary medical ward rounds can promote patient safety and patient-centred teamwork. Aims To evaluate interdisciplinary ward rounds using a Structured Interdisciplinary Bedside Rounding (SIBR
Publikováno v:
Boyle, L M, Mackay, M & Stockman, K 2021, ' Ambulance ramping, system pressure, and hospitals in crisis: what do the data tell us? ', Medical Journal of Australia, vol. 215, no. 11, pp. 526-527 . https://doi.org/10.5694/mja2.51335
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a253b6c42de19725c87d67013875015
https://pure.qub.ac.uk/en/publications/ad0e72e3-2388-41b4-81a3-2f8a650a9402
https://pure.qub.ac.uk/en/publications/ad0e72e3-2388-41b4-81a3-2f8a650a9402
Publikováno v:
International Journal of Integrated Care; Vol 20: APIC Conference Supplement 2019; 141
Introduction: A Potentially Preventable Hospitalisation(PPH) is an admission for a condition where hospitalisation could have potentially been prevented through provision of appropriate timely chronic disease and/or acute condition care. The HealthLi
BACKGROUND MonashWatch is a telehealth public hospital outreach pilot service as a component of the Government of Victoria’s statewide redesign initiative called HealthLinks: Chronic Care. Rather than only paying for hospitalizations, projected fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92155e76e6baa84aac3d2755c56cdc57
https://doi.org/10.2196/preprints.18046
https://doi.org/10.2196/preprints.18046
Publikováno v:
International Journal of Integrated Care; Vol 19: Annual Conference Supplement 2019; 607
International Journal of Integrated Care, Vol 19, Iss 4 (2019)
International Journal of Integrated Care, Vol 19, Iss 4 (2019)
Introduction: Multiple dynamics of internal and external network interactions result in the emergent observable state of a person’s health and care. A tsunami of Big Data predictions are developing to identify specific interventions to improve heal