Research on Life Cycle Management of Medical Consumables Based on Hospital Resource Planning System
OBJECTIVE: In order to improve the compatibility of the hospital resource planning (HRP) system for the whole life cycle of medical consumables, and to improve the management and control capabilities of hospital institutions on medical consumables.
METHODS: Based on the traditional HRP system, a secondary development and design of a medical consumables whole life-cycle artificial intelligence module was conducted, and a neural network machine learning algorithm module was introduced to enhance its big data integration and analysis capabilities.
RESULTS: The simulation analysis found that after adding this module, the proportion of minimum inventory, the proportion of procurement cost difference and the expiration rate of consumables all decreased significantly, and the differences were statistically significant (P<0.05).
CONCLUSIONS: The whole life cycle module of medical consumables based on HRP system can effectively improve the management efficiency of hospital medical consumables, adjust the warehouse inventory management ability, and improve the overall management level of medical consumables.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:47 |
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| Enthalten in: |
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation - 47(2023), 3 vom: 30. Mai, Seite 346-350 |
| Sprache: |
Chinesisch |
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| Beteiligte Personen: |
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| Links: |
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| Themen: |
Artificial intelligence |
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| Anmerkungen: |
Date Completed 09.06.2023 Date Revised 09.06.2023 published: Print Citation Status MEDLINE |
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| doi: |
10.3969/j.issn.1671-7104.2023.03.024 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM357904850 |
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| 500 | |a Date Revised 09.06.2023 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a OBJECTIVE: In order to improve the compatibility of the hospital resource planning (HRP) system for the whole life cycle of medical consumables, and to improve the management and control capabilities of hospital institutions on medical consumables | ||
| 520 | |a METHODS: Based on the traditional HRP system, a secondary development and design of a medical consumables whole life-cycle artificial intelligence module was conducted, and a neural network machine learning algorithm module was introduced to enhance its big data integration and analysis capabilities | ||
| 520 | |a RESULTS: The simulation analysis found that after adding this module, the proportion of minimum inventory, the proportion of procurement cost difference and the expiration rate of consumables all decreased significantly, and the differences were statistically significant (P<0.05) | ||
| 520 | |a CONCLUSIONS: The whole life cycle module of medical consumables based on HRP system can effectively improve the management efficiency of hospital medical consumables, adjust the warehouse inventory management ability, and improve the overall management level of medical consumables | ||
| 650 | 4 | |a English Abstract | |
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a artificial intelligence | |
| 650 | 4 | |a life cycle management | |
| 650 | 4 | |a machine learning | |
| 650 | 4 | |a the hospital resource planning | |
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