Abstract
Economic penalties have been imposed when there are long waiting times in low-income health centers in Peru; this problem is a crucial cause of the deficient global assessment on the national health level. Within this context, a model is presented that combines diagnostic and solution tools based on applying the Lean Healthcare philosophy within the parameters of Good Storage Practices, demand forecasting, system simulation, and Gemba Kaizen formats. Among the results obtained, the average daily waiting times were reduced by 63.89% simultaneously, process times were decreased by 12.62%, and reject patients by 2%.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology |
| Editors | Yuzo Iano, Osamu Saotome, Guillermo Kemper, Ana Claudia Mendes de Seixas, Gabriel Gomes de Oliveira |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 378-384 |
| Number of pages | 7 |
| ISBN (Print) | 9783030756796 |
| DOIs | |
| State | Published - 2021 |
| Event | 6th Brazilian Technology Symposium, BTSym 2020 - Virtual, Online Duration: 26 Oct 2020 → 28 Oct 2020 |
Publication series
| Name | Smart Innovation, Systems and Technologies |
|---|---|
| Volume | 233 |
| ISSN (Print) | 2190-3018 |
| ISSN (Electronic) | 2190-3026 |
Conference
| Conference | 6th Brazilian Technology Symposium, BTSym 2020 |
|---|---|
| City | Virtual, Online |
| Period | 26/10/20 → 28/10/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Demand forecast
- Gemba Kaizen
- Good storage practices
- Lean healthcare
- System simulation
- Waiting times
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