Presentation Details
| Modernizing Perioperative Patient Care to Improve Efficiency and Reduce Surgical Cancellations Andrew Fisher1, 2. 1Medical University of South Carolina, Columbia, SC, USA.2Qventus, San Francisco, CA, USA |
Abstract
BACKGROUND: Perioperative medical care plays a critical role in preparing patients for surgery but is often limited by inefficient workflows and administrative burden. Approximately half of clinical staff time is spent on non-clinical or below-license tasks. These inefficiencies contribute to last-minute patient issues, incomplete preparation, and surgical cancellations. With increasing workforce constraints and nursing shortages, optimizing existing processes has become a priority for perioperative operations.
PURPOSE: A pre–post implementation analysis was conducted at a large southern academic medical center following the deployment of the Qventus Perioperative Care Coordination (PCC) Solution. The intervention included three main components: (1) artificial intelligence (AI) agents to assist with patient outreach and follow-up, (2) continuous risk assessment using electronic health record (EHR) data and patient interactions, and (3) automated intake and review of faxed, scanned, and emailed medical records. Primary outcomes included changes in clinician capacity for perioperative evaluations, surgical cancellation rate, and manual processing time.
RESULTS: 50%+ increase in PAT Nurse capacity (now completing 2.8 screenings / hour, relative to baseline of 1.8) ~25% reduction in surgical cancellations (prior to intervention ~4.9%, now ~3.5%) 60% reduction in manual processing time - ~3 minutes saved per fax of manual processing time (baseline of 5 mins/fax)
CONCLUSIONS: Optimizing perioperative medical care workflows through automation can reduce administrative workload and improve operational performance. By automating manual tasks such as record retrieval and chart review, clinical staff can focus on higher-value aspects of patient assessment and optimization. Successful implementation requires alignment with local workflows and effective change management. When integrated thoughtfully, perioperative care coordination technologies can enhance efficiency, reduce cancellations, and support sustainable staffing models
No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author.
PURPOSE: A pre–post implementation analysis was conducted at a large southern academic medical center following the deployment of the Qventus Perioperative Care Coordination (PCC) Solution. The intervention included three main components: (1) artificial intelligence (AI) agents to assist with patient outreach and follow-up, (2) continuous risk assessment using electronic health record (EHR) data and patient interactions, and (3) automated intake and review of faxed, scanned, and emailed medical records. Primary outcomes included changes in clinician capacity for perioperative evaluations, surgical cancellation rate, and manual processing time.
RESULTS: 50%+ increase in PAT Nurse capacity (now completing 2.8 screenings / hour, relative to baseline of 1.8) ~25% reduction in surgical cancellations (prior to intervention ~4.9%, now ~3.5%) 60% reduction in manual processing time - ~3 minutes saved per fax of manual processing time (baseline of 5 mins/fax)
CONCLUSIONS: Optimizing perioperative medical care workflows through automation can reduce administrative workload and improve operational performance. By automating manual tasks such as record retrieval and chart review, clinical staff can focus on higher-value aspects of patient assessment and optimization. Successful implementation requires alignment with local workflows and effective change management. When integrated thoughtfully, perioperative care coordination technologies can enhance efficiency, reduce cancellations, and support sustainable staffing models
No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author.
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