Outside hospital walls, patient care is unpredictable
Risk-bearing health systems and integrated delivery networks aren't optimized to manage patients' care beyond the hospital. Traditional models don’t always address the situational, social, or logistical difficulties that arise when patients return home to recover, resulting in high costs and inefficient care.
That's where Laguna can help.
45%
readmission reduction achieved by Laguna in a clinical trial
With Laguna, risk-bearing health systems can leverage AI to decrease the mental load of care managers, improving efficiency and patient recovery outcomes.
Laguna understands the issues facing payers and their care managers. That's why we designed our solution to be configurable, scalable, and easy to implement.
7X
Contextual care plans are 7x more effective than traditional approaches
Anxiety, depression, grief, caregiver conflicts
Financial situation, cultural background, home environment
Loneliness, forgetfulness, readiness to change
Transportation to appointments and clinical adherence
Laguna’s care management platform fits within existing ecosystems to improve outcomes for patients and make life easier for clinical staff.
92%
Up to 92% of eligible patients engaged with Laguna vs 7% with traditional Transition Care Management (TCM) models
Lower readmission rates and improve hospital financial performance
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Partner with patients beyond the hospital so they can recover with confidence
AI identifies red flags using discharge instructions and patient screener questions
Help clinical staff with dynamic care management that improves outcomes efficiently
Laguna’s AI models make contextual care available to every member, without taxing clinical staff or adding unnecessary cost.
Each member receives ongoing guidance and support with care plans that adapt automatically to their unique needs.
Laguna flags and prioritizes tasks for care managers, so they can help where it’s needed most and do their best work.
We work as an extension, not a replacement, to treating providers.
