Optimizing patient flow, together.

Innovation thrives through collaboration – it’s what kickstarted our journey developing Choreo-ED. Our team, with decades of experience collaborating with healthcare organizations to embrace emerging technology, recognized an opportunity to improve patient flow in emergency departments. We knew AI would be the catalyst, and clinical input would shape our approach and strategy.

“What if pharmacists could start medication review, or hospitalists began coordinating with ED physicians while workup was being completed, long before a shift change? That’s where Choreo-ED can be valuable.”

Mitch Quinn Director of AI/ML

Created through a unique partnership with hospitalists, technologists, clinical stakeholders and emergency department physicians, we’ve built, tested, and refined our solution to address real-world challenges in the emergency department, placing patients and care teams at the center. Now, we’re seeing the impact – a practical, effective and transformative AI tool designed by and for hospitalists.

Our work to date is just the beginning. As Choreo-ED expands beyond patient flow and into length of stay, level of care, readmission and inpatient discharge models, we’ll continue engaging clinical stakeholders to ensure we’re solving the problems that matter, every time. Join us as we continue to shape the future of emergency care, together.

What’s to come for Choreo-ED.

2023 - 2024

ADTA (Anticipated Decision to Admit) Model Development
Clinical Validation with ER Physicians
Integration with EPIC EHR
2025

ED Discharge Model: Anticipating ED Discharge
Level of Care Model: What unit a patient should be admitted to?
Anticipated Length of Stay: # of days in the hospital
Integration with Allscripts EHR
2026

Inpatient Length of Stay
Discharge Location Model
Inpatient Discharge Model
Readmission Model
Anticipated PT Consult or Care Management