Abstract
Operation research concepts can help healthcare facilities with unplanned situations, crisis, and handling of supplies, utilities, and strategies. A methodology for dealing with the Man-Hour (MH) distribution in a cellular type Healthcare Organization (HCO) is introduced, and its goal is to maximize the use of resources and workforce. The problem is modeled via Linear Programming (LP), which results in a minimal cost flow problem with the simplex algorithm. The proposed framework (MCFP) can motivate individuals, reward ability and individual knowledge (not only moneywise) plus improving patient care. Such model can help to devise a software tool for decision making with performance and efficiency; it brings direct profit for the HCO and its staff due to the superior management of their MHs, and it increases the benefits to the community they serve. The methodology models MHs in an HCO to optimize management, decision-making tasks, and resource distribution.
Original language | English |
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Title of host publication | Proceedings of the 4th Brazilian Technology Symposium (BTSym’18) - Emerging Trends and Challenges in Technology |
Editors | Yuzo Iano, Hermes José Loschi, Rangel Arthur, Osamu Saotome, Vânia Vieira Estrela |
Publisher | Springer |
Pages | 633-645 |
Number of pages | 13 |
ISBN (Print) | 9783030160524 |
DOIs | |
Publication status | Published - 2019 |
Externally published | Yes |
Event | 4th Brazilian Technology Symposium, BTSym 2018 - Campinas, Brazil Duration: 23 Oct 2018 → 25 Oct 2018 Conference number: 4 |
Publication series
Name | Smart Innovation, Systems and Technologies |
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Volume | 140 |
ISSN (Print) | 2190-3018 |
ISSN (Electronic) | 2190-3026 |
Conference
Conference | 4th Brazilian Technology Symposium, BTSym 2018 |
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Abbreviated title | BTSym 2018 |
Country/Territory | Brazil |
City | Campinas |
Period | 23/10/18 → 25/10/18 |
Keywords
- Graph theory applications
- Healthcare system model
- Healthcare work assignment
- Idleness minimization
- Linear programming
- Minimal cost flow problem
- Motivation rewards
- Simplex algorithm