Standard of practice in geriatric medicine for pharmacy services

2020 ◽  
Vol 50 (1) ◽  
pp. 82-97
Author(s):  
Rohan A. Elliott ◽  
Alex Chan ◽  
Gauri Godbole ◽  
Ivanka Hendrix ◽  
Lisa G. Pont ◽  
...  
Keyword(s):  
Geriatric Medicine ◽  
Pharmacy Services ◽  
Standard Of Practice

Standard of practice in pain management for pharmacy services

2019 ◽  
Vol 49 (3) ◽  
pp. 270-284
Author(s):  
Daniel Lim ◽  
Anthony Hall ◽  
Margaret Jordan ◽  
Benita Suckling ◽  
Penelope H. Tuffin ◽  
...  
Keyword(s):  
Pain Management ◽  
Pharmacy Services ◽  
Standard Of Practice

Standard of practice in clinical trials for pharmacy services

2020 ◽  
Vol 50 (5) ◽  
pp. 429-444
Author(s):  
Peter Slobodian ◽  
June Challen ◽  
Michael Ching ◽  
Eugenia Hong ◽  
Jasminka Nikolajevic‐Sarunac ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Pharmacy Services ◽  
Standard Of Practice

Standard of practice in dispensing and distribution for pharmacy services

2021 ◽  
Vol 51 (6) ◽  
pp. 511-535
Author(s):  
Patrick Lam ◽  
Andrew Campbell ◽  
Tom Chynoweth ◽  
Ashley Crawford ◽  
Christopher Giles ◽  
...  
Keyword(s):  
Pharmacy Services ◽  
Standard Of Practice

Standard of practice in nephrology for pharmacy services

2020 ◽  
Vol 50 (3) ◽  
pp. 263-275
Author(s):  
Carla Scuderi ◽  
Michelle Nalder ◽  
Ronald Castelino ◽  
Matthew Cervelli ◽  
Danielle Ironside ◽  
...  
Keyword(s):  
Pharmacy Services ◽  
Standard Of Practice

Standard of practice in infectious diseases for pharmacy services

2021 ◽  
Vol 51 (3) ◽  
pp. 247-264
Author(s):  
Kelly A. Cairns ◽  
Minyon Avent ◽  
Evette Buono ◽  
Ron Cheah ◽  
Misha Devchand ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Pharmacy Services ◽  
Standard Of Practice

Standard of practice in emergency medicine for pharmacy services

2019 ◽  
Vol 49 (6) ◽  
pp. 570-584 ◽  
Author(s):  
Susan Welch ◽  
Elizabeth Currey ◽  
Elizabeth Doran ◽  
Andrew Harding ◽  
Cristina Roman ◽  
...  
Keyword(s):  
Emergency Medicine ◽  
Pharmacy Services ◽  
Standard Of Practice

Standard of practice in general medicine for pharmacy services

2020 ◽  
Vol 50 (4) ◽  
pp. 356-365
Author(s):  
Erica Tong ◽  
Jennifer Collins ◽  
Paul Firman ◽  
Marianne Jovanovic ◽  
Alex Edwards ◽  
...  
Keyword(s):  
General Medicine ◽  
Pharmacy Services ◽  
Standard Of Practice

Standard of practice in oncology and haematology for pharmacy services

2020 ◽  
Vol 50 (6) ◽  
pp. 528-545
Author(s):  
John Coutsouvelis ◽  
Julie Adams ◽  
Hadley Bortz ◽  
Maggie Chau ◽  
Karen Chiang ◽  
...  
Keyword(s):  
Pharmacy Services ◽  
Standard Of Practice

Standard of ​practice in intensive care for pharmacy services

2021 ◽  
Vol 51 (2) ◽  
pp. 165-183
Author(s):  
Karlee Johnston ◽  
Melissa J. Ankravs ◽  
Belinda Badman ◽  
Chui Lynn Choo ◽  
Michele Cree ◽  
...  
Keyword(s):  
Intensive Care ◽  
Pharmacy Services ◽  
Standard Of Practice

Modelling In-Patient Bed Usage Behaviour in a Department of Geriatric Medicine

1993 ◽  
Vol 32 (01) ◽  
pp. 79-81 ◽  
Author(s):  
P. Millard ◽  
S. McClean
Keyword(s):  
Census Data ◽  
Geriatric Medicine ◽  
Temporal Trends ◽  
Exponential Model ◽  
Bed Occupancy ◽  
Lengths Of Stay ◽  
Geriatric Hospital ◽  
Using Data ◽  
Acute Patients

Abstract:The flow of patients through geriatric hospitals has been previously described in terms of acute and long-stay states where the bed occupancy at a census point is modelled by a mixed exponential model. Using data for sixteen years the model was fitted to successive annual census points, in order to provide a description of temporal trends. While the number of acute patients has remained fairly stable during the period, the model shows that there has been a decrease in the number of long-stay patients. Mean lengths of stay in our geriatric hospital before death or discharge have decreased during the study period for both acute and long-stay patients.Using these fits of the mixed exponential model to census data, a method is provided for predicting future turnover of patients. These predictions are reasonably good, except when the turnover patterns go through a period of flux in which assumption of stability no longer holds. Overall, a methodology is presented which relates census analysis to the behaviour of admission cohorts, thus producing a means of predicting future behaviour of patients and identifying where there is a change in patterns.

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