Most hospitals have invested heavily in visibility — dashboards, daily huddle reports and capacity snapshots — yet boarded emergency department patients, delayed discharges and capacity bottlenecks remain familiar. The problem is often the gap between what the data shows and what teams can act on in time. By the time a daily report surfaces a bottleneck, the bed is already full, the discharge has already slipped and the ED is already holding patients overnight.
Baptist Health, a 12-hospital network dedicated exclusively to Arkansas, faced that gap at scale. After opening a centralized command center in 2022, the system grew annual transfers into its Little Rock hospital from roughly 3,000 to nearly 20,000. While a win for rural access, it also flooded its hospitals and compounded a post-COVID boarding crisis.
By embedding predictive intelligence and automation into its core discharge and capacity workflows, Baptist cut system-wide discharge processing time from 135 to 79 minutes, reduced length of stay variance by 28%, and now boards 525 fewer ED patients each month.
During a webinar hosted by Becker’s Healthcare, Cody Walker, president of Baptist Health Medical Center–North Little Rock, shared how the system partnered with LeanTaaS and implemented its iQueue for Inpatient Flow platform to move past visibility and into action.
Here are four key takeaways from his presentation.
1. What closed the gap
Before LeanTaaS, Baptist’s leaders met every morning to guess which patients might be discharged that day, working from variable, paper-based reports that took hours to assemble and produced little action. The system’s EHR was strong at the patient level but fell short operationally and each promised release pushed real improvement another six months, while staff burned out.
Mr. Walker described the partnership as a shift from compiling data to acting on it. With predictive analytics in place, management could make high-level capacity decisions in real time rather than spending each morning assembling the picture they needed to decide anything at all.
2. A new approach
Baptist reframed throughput as a “patient out, patient in” cycle: discharge processing time, room-turn time and the pull of the next patient into the cleaned bed. The team mapped every step, stripped out roughly half of them, and ran the rest in parallel — completing medication reconciliation, scheduling follow-ups and pre-staging environmental services the day before a discharge order is written.
The discipline came from a simple rule for every legacy step. “If you can’t show me the requirement, or you can’t show me who wrote it, then it’s just a recommendation,”Mr. Walker said. The results improved quickly. Discharge processing fell from 135 minutes to 79 minutes, surpassing the system’s 90-minute goal and the IHI standard. At the same time, the full patient-out-to-patient-in cycle dropped from 308 to 182 minutes.
Environmental services now begin staging rooms before the patient has left, with turn times as low as 45 minutes.
3. No more guesswork
Faster discharges were only part of the answer. Using forecasts from the iQueue platform that look roughly seven days ahead, Baptist now identifies the days a unit is likely to fill and staffs a surge unit before boarding begins, opening it at 8 a.m. and pulling patients out of the ED the moment pressure builds. The tactic has cut boarding at North Little Rock by about 75%.
Automation enforces follow-through. When a patient hasn’t moved as expected, the system escalates automatically, to the manager at 15 minutes, the director at 30, the chief nurse at 45 and Walker himself at 90, so delays are addressed before they become outliers. Every Friday, leaders across the system report the same metrics from iQueue to executives and hold themselves to the goals they set the week before, using one shared source of truth.
4. Measurable capacity gains
The operational changes produced measurable capacity and financial gains. Baptist increased discharges completed by 11 a.m. by 50%, creating the equivalent of a 32-bed unit without a $30 million construction project.
The system also declined 7% fewer transfers because of space constraints. In one recent week, Baptist logged 1,297 admissions and accepted a record 322 transfers, losing just five because of capacity constraint.
Mr. Walker framed the durable change as cultural, citing a North Star goal of becoming “the most efficient, predictable, reliable health system in the country.” As capacity freed up and the data proved itself, skeptical hospitalists became believers and the momentum became self-sustaining. “It’s not like anybody’s pushing it anymore,” Mr. Walker said. “It’s just the expectation.”
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