TY - JOUR
T1 - Model simulation of the patient flow through a screening centre for diabetic retinopathy
AU - Hansen, Anja Bech
AU - Hansen, René Normann
AU - Colding-Jørgensen, Morten
AU - Borch-Johnsen, Knut
AU - Lund-Andersen, Henrik
PY - 2005/12/1
Y1 - 2005/12/1
N2 - Purpose: To construct a quantitative, flexible and simplified mathematical model of the patient flow through the Eye Clinic at the Steno Diabetes Centre (SDC) in order to enable rational dimensioning and assess the effects of modifications. Methods: Patient data were drawn from the Eye Care database at the SDC. A simple patient flow model was constructed, allowing simultaneous adjustments of all variables, and the model was tested. Two scenarios were simulated: (1) adjusting the algorithm that assigns the follow-up intervals, and (2) increasing the population size to include all patients with diabetes in Copenhagen County. Results: The model can describe the patient flow under steady state conditions, but is less precise in predicting transient changes with the present set-up. Accordingly all simulations were run for a substantial number of iterations. The two scenarios illustrate the usefulness of the model by calculating the required photographic examination capacity for the specific population, thereby allowing better estimations of future dimensioning of the organization. Conclusion: The study presents a patient flow model that can be used to illustrate the effects of proposed changes prior to their implementation, specifically with respect to the capacity of the system.
AB - Purpose: To construct a quantitative, flexible and simplified mathematical model of the patient flow through the Eye Clinic at the Steno Diabetes Centre (SDC) in order to enable rational dimensioning and assess the effects of modifications. Methods: Patient data were drawn from the Eye Care database at the SDC. A simple patient flow model was constructed, allowing simultaneous adjustments of all variables, and the model was tested. Two scenarios were simulated: (1) adjusting the algorithm that assigns the follow-up intervals, and (2) increasing the population size to include all patients with diabetes in Copenhagen County. Results: The model can describe the patient flow under steady state conditions, but is less precise in predicting transient changes with the present set-up. Accordingly all simulations were run for a substantial number of iterations. The two scenarios illustrate the usefulness of the model by calculating the required photographic examination capacity for the specific population, thereby allowing better estimations of future dimensioning of the organization. Conclusion: The study presents a patient flow model that can be used to illustrate the effects of proposed changes prior to their implementation, specifically with respect to the capacity of the system.
KW - Capacity
KW - Diabetic retinopathy screening
KW - Model simulation
KW - Patient flow
UR - http://www.scopus.com/inward/record.url?scp=29244469939&partnerID=8YFLogxK
U2 - 10.1111/j.1600-0420.2005.00555.x
DO - 10.1111/j.1600-0420.2005.00555.x
M3 - Article
C2 - 16396644
AN - SCOPUS:29244469939
SN - 1395-3907
VL - 83
SP - 678
EP - 686
JO - Acta Ophthalmologica Scandinavica
JF - Acta Ophthalmologica Scandinavica
IS - 6
ER -