Patient flow is not fundamentally an information problem. It is a coordination problem. Health systems have more operational data, alerts, messages and real-time visibility than ever before, but all of that information still has to be interpreted, prioritized and acted on by people across the organization. Pressure may show up in the emergency department (ED), but relieving it takes the entire organization working together to move patients into, through and out of the hospital. That is why LeanTaaS has acquired Aidin, a care transition platform that helps streamline the placement and coordination required to move patients to the next setting of care.
The acquisition extends LeanTaaS’ inpatient flow strategy into the complex work of care transitions. Today, iQueue uses predictive and prescriptive intelligence to optimize the workflows that move patients through an inpatient stay, helping teams anticipate demand, prioritize barriers, coordinate action and reduce length of stay. Aidin enables us to go further by addressing a specific source of delay: the care transition.
Discharge readiness is not the same as a completed transition
A patient can be medically ready to leave and still remain in a hospital bed while teams work through placement, authorization, patient choice and provider communication. Roughly 40% of Medicare patients who are discharged require post-acute care, yet these patients account for more than 55% of avoidable hospital days.
Each delayed transition affects more than one patient. It adds cost to the current stay while keeping a bed unavailable for someone waiting in the ED, seeking a transfer or needing scheduled care. The operational challenge reaches across the hospital and beyond its walls.
Case managers and care transition teams may need to coordinate with skilled nursing facilities, rehabilitation facilities, home health agencies, hospices, payers, patients and families. When discharge readiness, referral status and outstanding barriers live in separate systems and workflows, teams lack a shared view of what needs to happen next, who needs to act and where intervention will have the greatest impact.
Connecting intelligence with execution
Data alone is not enough to improve patient flow. The harder problem is turning that information into coordinated action.
That is where bringing iQueue for Inpatient Flow and Aidin together creates a new opportunity. iQueue helps teams anticipate capacity needs, identify patient progression risks, prioritize barriers and coordinate action throughout the inpatient stay. Aidin extends that operating model into the workflows required to complete care transitions, including referrals, placement, authorization, patient choice and provider communication. Its platform serves more than 200 hospitals across approximately 20 health systems, coordinating more than two million referrals annually through a network of more than 21,000 post-acute providers.
Together, these capabilities create a more complete approach to inpatient flow orchestration. In practical terms, it means helping the right people take the right action at the right time, and making that work visible across teams. Connecting inpatient and transition workflows can help health systems identify post-acute needs earlier, create a shared view of barriers and next steps, initiate the right work sooner, and focus limited staff time on the patients most at risk of delay.
It also allows leaders to treat post-acute transitions as part of their enterprise capacity strategy rather than as a separate administrative process. Aidin reduces length of stay by an average of 0.86 days, cuts placement time by 50% and drives 2x staff efficiency improvements. Those results illustrate why completing transitions efficiently is both an operational and financial imperative.
Building a more complete patient flow operating model
Technology alone will not solve hospital gridlock. Sustainable improvement requires health systems to hardwire new ways of working: anticipating bottlenecks, prioritizing the interventions that matter most, coordinating the people responsible, and creating accountability for follow-through.
For inpatient flow, that operating model cannot end when a patient is deemed ready for discharge. It must extend through the transition itself.
The acquisition of Aidin moves LeanTaaS closer to that more complete model — from admission through the next setting of care. By connecting the intelligence that identifies where and why patients are delayed with the workflows required to move them forward, health systems can reduce avoidable days, ease pressure across the hospital and make existing capacity available to the patients who need it.
Learn more about LeanTaaS’ acquisition of Aidin here.
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.
