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2022
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| Online Access: | https://doi.org/10.5281/zenodo.14787192 |
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| _version_ | 1866902290119524352 |
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| author | Kiran Veernapu |
| author_facet | Kiran Veernapu |
| contents | <p>Medical supplies and equipment needed during a surgical procedure in operating rooms are referred to as perioperative inventory. These medical supplies are highly specialized, sterile, and swiftly available for a surgical need. Perioperative inventory is typically maintained at higher stock levels to avoid delays and interruptions to the scheduled surgeries. Surgeons and nursing staff use perioperative inventory cards known as preference cards to identify the item needed during the surgery. While usage of the preference card system in the operating room has been great practice, there are challenges in using this approach. The surgeries need a lot of small to large items, healthcare organizations are partnering with suppliers to bring the items needed for the surgeries. Nurses record the usage of the items. This process results into errors, leading to several mistakes in the patient invoice. </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14787192 |
| institution | Zenodo |
| language | |
| publishDate | 2022 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Resolving Perioperative Inventory Patient Billing challenges using AI and deep learning Kiran Veernapu <p>Medical supplies and equipment needed during a surgical procedure in operating rooms are referred to as perioperative inventory. These medical supplies are highly specialized, sterile, and swiftly available for a surgical need. Perioperative inventory is typically maintained at higher stock levels to avoid delays and interruptions to the scheduled surgeries. Surgeons and nursing staff use perioperative inventory cards known as preference cards to identify the item needed during the surgery. While usage of the preference card system in the operating room has been great practice, there are challenges in using this approach. The surgeries need a lot of small to large items, healthcare organizations are partnering with suppliers to bring the items needed for the surgeries. Nurses record the usage of the items. This process results into errors, leading to several mistakes in the patient invoice. </p> |
| title | Resolving Perioperative Inventory Patient Billing challenges using AI and deep learning |
| url | https://doi.org/10.5281/zenodo.14787192 |