Abstract
The problem identified in the health sector was the low level of external user satisfaction in medical health centres. Due to this, a model based on Lean methodology (TPM and work standardization) and machine learning were developed to improve external user satisfaction. Furthermore, a case study was carried out to validate the model in a company in Metropolitan Lima. Through the analysis of indicators, an increase in the level of patient satisfaction to 81.40% was shown, taking into account the percentage of cancelled appointments, availability of the CT scanner, downtime due to failure, and CT scanner handling time.
Original language | American English |
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Title of host publication | 2022 8th International Conference on Industrial and Business Engineering, ICIBE 2022 |
Publisher | Association for Computing Machinery |
Pages | 204-210 |
Number of pages | 7 |
ISBN (Electronic) | 9781450397582 |
DOIs | |
State | Indexed - 27 Sep 2022 |
Externally published | Yes |
Event | 8th International Conference on Industrial and Business Engineering, ICIBE 2022 - Virtual, Online, China Duration: 27 Sep 2022 → 29 Sep 2022 |
Publication series
Name | ACM International Conference Proceeding Series |
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Conference
Conference | 8th International Conference on Industrial and Business Engineering, ICIBE 2022 |
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Country/Territory | China |
City | Virtual, Online |
Period | 27/09/22 → 29/09/22 |
Bibliographical note
Publisher Copyright:© 2022 ACM.
Keywords
- Lean Service
- Machine learning
- Small and Medium Enterprises
- Standardization
- Total Productive Maintenance