Abstract
A Markovian planning model is presented. It takes into account the dynamics of the health services system and allows health planners flexibility in a continuously changing environment. Analysis of the Markovian model leads to its three applications: 1) prediction, i.e., determining future requirements for manpower and resources for any population defined in terms of desired or specified demographic and/or epidemiologic characteristics; 2) simulation, i.e., analysis of changes in the health services system and/or in demographic and/or epidemiologic variables and the repercussions of these changes on present and future resources; 3) goal seeking, i.e., the design of several alternative strategies of reaching, in a given time period, specified utilization patterns or organizational arrangements, and the choice of the “best” alternative according to defined constraints such as “cost” or “minimum changes in current resources,” etc. The three applications of the model have been used in different situations. Empirical data from diverse sources has been used. Within the conceptual framework of the model the levels of care and the composition of population groups can be changed to meet desired criteria.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 242-249 |
| Number of pages | 8 |
| Journal | Medical Care |
| Volume | 7 |
| Issue number | 3 |
| State | Published - 1969 |
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ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health
- Nursing(all)
- Health(social science)
- Health Professions(all)
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Planning personal health services : A Markovian model. / Navarro, Vicente.
In: Medical Care, Vol. 7, No. 3, 1969, p. 242-249.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Planning personal health services
T2 - A Markovian model
AU - Navarro, Vicente
PY - 1969
Y1 - 1969
N2 - A Markovian planning model is presented. It takes into account the dynamics of the health services system and allows health planners flexibility in a continuously changing environment. Analysis of the Markovian model leads to its three applications: 1) prediction, i.e., determining future requirements for manpower and resources for any population defined in terms of desired or specified demographic and/or epidemiologic characteristics; 2) simulation, i.e., analysis of changes in the health services system and/or in demographic and/or epidemiologic variables and the repercussions of these changes on present and future resources; 3) goal seeking, i.e., the design of several alternative strategies of reaching, in a given time period, specified utilization patterns or organizational arrangements, and the choice of the “best” alternative according to defined constraints such as “cost” or “minimum changes in current resources,” etc. The three applications of the model have been used in different situations. Empirical data from diverse sources has been used. Within the conceptual framework of the model the levels of care and the composition of population groups can be changed to meet desired criteria.
AB - A Markovian planning model is presented. It takes into account the dynamics of the health services system and allows health planners flexibility in a continuously changing environment. Analysis of the Markovian model leads to its three applications: 1) prediction, i.e., determining future requirements for manpower and resources for any population defined in terms of desired or specified demographic and/or epidemiologic characteristics; 2) simulation, i.e., analysis of changes in the health services system and/or in demographic and/or epidemiologic variables and the repercussions of these changes on present and future resources; 3) goal seeking, i.e., the design of several alternative strategies of reaching, in a given time period, specified utilization patterns or organizational arrangements, and the choice of the “best” alternative according to defined constraints such as “cost” or “minimum changes in current resources,” etc. The three applications of the model have been used in different situations. Empirical data from diverse sources has been used. Within the conceptual framework of the model the levels of care and the composition of population groups can be changed to meet desired criteria.
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UR - http://www.scopus.com/inward/citedby.url?scp=0014512496&partnerID=8YFLogxK
M3 - Article
C2 - 5798999
AN - SCOPUS:0014512496
VL - 7
SP - 242
EP - 249
JO - Medical Care
JF - Medical Care
SN - 0025-7079
IS - 3
ER -