News: OhioHealth Taps Qventus to Automate Care Operations Across the Enterprise Read now
Jackson recognized a significant opportunity to enhance the identification and documentation of malnourished patients to better reflect clinical reality and ensure patients received appropriate care.
Malnutrition can be undercaptured as it may not present as a medical condition that requires immediate intervention. Without an automated way to identify these risks, Jackson recognized an opportunity to improve visibility into at-risk patients and further support quality care delivery.
Jackson Health System implemented Qventus Malnutrition Care Automation to proactively identify and close critical malnutrition care and coding gaps. The solution, part of the Care Gap & Coding Automation Suite, is embedded directly into EHR workflows to support timely identification, intervention, and documentation.
Condition Detection Assistant: Ingests structured and unstructured data in real-time to identify at-risk patients
Care Gap Assistant: Pre-populates an order for a nutrition consult and prompts the provider within their workflow to sign off. It also surfaces intelligence into the dietitian’s worklist for better context as they prepare for evaluations.
Coding and Documentation Assistant: Ensures appropriate capture of clinical complexity in documentation to support accurate MCC/CC capture, improving reimbursement and quality metrics.
Impact Assistant: Qventus analytics provide visibility into provider response rate, condition capture lift, revenue gains, and detailed evidence to support audits and reduce denials.
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.
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.
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.
