New Research: How healthcare CIOs are shaping AI’s role in patient care and operations
Providing access to quality care is paramount to the AMC, but speeding up the timeline to patient care was a struggle.
They deployed a myriad of manual processes and activities to try and harden their operations in pursuit of their surgical growth objectives, but it proved impossible for perioperative leaders to adjust the individual behaviors of every surgeon, clinic scheduler, OR scheduler, etc. to ensure the right cases ended up in the right rooms at the right times.
This health system selected the Qventus Surgical Growth Solution to achieve three key goals: extend care to more patients, faster; empower staff to work at the top of their license; and strategically growth their Hepatobiliary, Spine, and Urology service lines.
The Surgical Growth Solution goes beyond simply increasing OR availability. Rather, it uses AI and machine learning to proactively fill ORs with the cases that matter most. Cutting-edge machine learning algorithms match open OR slots to best-fit surgeons, and can shape surgical demand by prioritizing surgeons and cases that align with your strategic goals.
Capacity Assistant:
Frees up misutilized OR time and predicts with high confidence which partial or full blocks are unlikely to be used, up to a month in advance. Personalized nudges are then deployed that engage surgeons and schedulers to release blocks weeks in advance. This AMC achieved a 2.4x increase in manual block release, releasing 399 more block hours than in the previous year.
Clinic Scheduler Assistant: Integrated into the clinic EMR, our AI assistant identifies optimal time slots in seconds. This empowers schedulers to book strategic cases at your health system over anyone else in the market and attracts more cases from independent clinics – resulting in a 54% shorter lead time for cases booked.
Strategic Marketing Assistant: Fills OR time with best-fit surgeons and optimal cases as our AI teammate automatically markets time to surgeons who are the best fit based on practice patterns, surgeon profiles, and strategic health system objectives. The AMC saw 728 Qventus-nudged block release hours backfilled with a strategic case, and a 26% increase in overall operating minutes for strategic service lines.
Simplifying surgical scheduling: Qventus’ digital booking interface, TimeFinder, enables schedulers to easily find open time slots. The software determines the best-fit slots for any given case—factoring in things like day of week, time, the type of room and any special equipment needed, duration of procedure, and more—and offers a list of available slots that most closely fit the criteria. The clinic scheduler can book the time and submit the case request information with just a few clicks.
Improving block time utilization: Machine learning algorithms learn from a surgeon’s historical practice patterns and use that data to predict, up to a month in advance, time within each surgeon’s block that is unlikely to be used. When the system identifies a slot with a significantly high probability of going unused, it sends an automated “nudge” to the surgeon’s scheduler, requesting a release of the slot. To incentivize the release, the nudge includes a calculation of how much the release will improve the surgeon’s block utilization rate.
Proactively filling unused slots: Under a manual process, unused slots are often filled with the first available procedure, rather than the most appropriate one. The Qventus Perioperative Solution’s Available Time Outreach functionality analyzes the characteristics of available slots, matches them with surgeons’ predicted needs, then offers the best-fit slots via email to the surgeon who’s most likely to use it and who also represents the highest value to Banner Health. The scheduler can accept or decline with a few clicks. If they decline, the system automatically moves to the next most likely candidate.
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Ut blandit pulvinar volutpat. Cras egestas sem turpis, non accumsan justo cursus viverra. Proin ipsum arcu, dignissim a enim eu, tristique eleifend orci. Etiam commodo dignissim nisi, sed finibus metus auctor in. Nulla venenatis porttitor risus non pretium. In rhoncus tempor mauris. Orci varius natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus.
Ut blandit pulvinar volutpat. Cras egestas sem turpis, non accumsan justo cursus viverra. Proin ipsum arcu, dignissim a enim eu, tristique eleifend orci. Etiam commodo dignissim nisi, sed finibus metus auctor in. Nulla venenatis porttitor risus non pretium. In rhoncus tempor mauris. Orci varius natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus.
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