When Ants Take Care of Humans: ACO for Home-Care Services Planning Optimization...17th World Congress on Medical and Health Informatics, August 25-30, 2019, Lyon, France.
Current planning approaches for home care services do not generally support the social and human dimension of planning. They focus on optimization criteria that are easily quantifiable, such as the cost. Whereas other criteria such as the quality of the relationship between caregivers and beneficiar...
| Published in: | Studies in Health Technology & Informatics Vol. 264; pp. 546 - 551 |
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| Main Authors: | , , |
| Format: | proceedings research tables/charts Journal Article |
| Published: |
Sage Publications Inc.
2019
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=148538119&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 148538119 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2019 vid: 264 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 148538119 148538119 148538119 10.3233/SHTI190282 148538119 ppf: 546 ppct: 5 formats: tig: atl: When Ants Take Care of Humans: ACO for Home-Care Services Planning Optimization...17th World Congress on Medical and Health Informatics, August 25-30, 2019, Lyon, France. aug: au: Chabane, Yahia Bortolaso, Christophe Derras, Mustapha affil: Berger-Levrault, France sug: subj: Algorithms Home Health Care Planning Techniques Patient Satisfaction Patient-Family Relations Human Quantitative Studies Qualitative Studies Program Implementation Validity Usability Study Congresses and Conferences France France ab: Current planning approaches for home care services do not generally support the social and human dimension of planning. They focus on optimization criteria that are easily quantifiable, such as the cost. Whereas other criteria such as the quality of the relationship between caregivers and beneficiaries or the satisfaction of the latter are important too as they can highly influence the planning. To address this issue, we investigate in this work the problem of planning optimization for home care service. We propose an extension of the classical ant colony optimization algorithms. Optimization is carried out by several classic criteria such as the cost along with social-based criteria such as the relationship between caregivers and beneficiaries. We also propose a flexible and expressive language to represent the constraints in the form of predicates that can include variables, constants and functions of the problem. This allows each organisation to add its own constraints. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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