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ManageCare orchestrates the behavioral sleep medicine journey end-to-end. Our AI automates referral intake with sleep questionnaire extraction, coordinates multi-step diagnostic pathways including polysomnography scheduling, and maintains patient engagement through multi-week CBT-I programs where dropout rates traditionally exceed 40%.
Automate the full sleep patient journey — from referral and sleep study to sustained behavioral change
71%
Reduction in CBT-I program dropout rates
94%
Sleep diary completion compliance
58%
Faster time from referral to sleep study
2.8x
Improvement in long-term insomnia remission rates
Behavioral sleep medicine programs face journey breakdowns at every stage — referrals lack sleep diary data, polysomnography scheduling delays extend wait times by weeks, patients drop out of multi-session CBT-I programs, and long-term adherence to behavioral interventions goes unmonitored. Manual processes cannot sustain the engagement intensity these patients need.
Referrals arrive without sleep diaries, prior polysomnography results, or medication lists including OTC sleep aids
Multi-step diagnostic pathways — questionnaires, sleep studies, follow-ups — require complex sequential scheduling
CBT-I dropout exceeds 40% because patients lose engagement between weekly sessions without proactive outreach
Sleep diary compliance drops dramatically without nightly automated reminders and easy submission channels
No system tracks longitudinal sleep patterns to detect early signs of treatment failure or relapse
Patients on sedative-hypnotics need coordinated tapering protocols that span weeks of careful monitoring
Every workflow purpose-built for behavioral sleep medicine operations.
Referral intake with OCR extraction, patient matching, and insurance verification in under 3 minutes — capturing sleep diary data, prior sleep study results, and comorbid conditions affecting sleep
AI-driven scheduling matching patients to optimal slots based on CBT-I session sequence, sleep study lab availability, provider specialization, and chronotype-appropriate appointment times
Smart waitlist that fills cancellations within minutes via automated SMS and voice outreach — prioritizing patients with severe insomnia severity index scores or occupational sleep impairment
Pre-treatment prep automation — sleep diary delivery and tracking, Epworth and ISI questionnaire completion, medication reconciliation for sedative-hypnotics, and sleep study prep instructions with compliance confirmation
Multi-channel patient engagement: reminders, confirmations, and prep instructions via SMS, voice, and portal — including nightly sleep diary prompts and CBT-I homework reminders
Real-time sleep pattern monitoring with AI severity assessment and escalation — tracking diary entries, actigraphy data trends, and treatment response trajectories
Post-treatment AI triage with 91% first-call resolution — addressing sleep hygiene questions, stimulus control challenges, CPAP alternatives, and relapse of insomnia symptoms
Automated sleep health surveillance and follow-up — zero patients lost to follow-up with scheduled reassessments at 1, 3, and 6 months post-CBT-I completion
Specialized AI employees that handle these workflows autonomously.
Processes behavioral sleep medicine referrals by extracting sleep study history, medication lists (including OTC and supplements), insomnia severity scores, and comorbid psychiatric conditions. Validates insurance coverage for polysomnography and CBT-I session series.
Orchestrates multi-step sleep treatment pathways — initial evaluation, sleep study, results review, and sequential CBT-I sessions. Fills cancellations by matching waitlisted patients based on insomnia severity and occupational impairment risk.
Maintains daily sleep diary engagement through automated nightly prompts via SMS and app. Sends CBT-I homework reminders, sleep hygiene tips between sessions, and prep instructions for sleep studies — sustaining the engagement intensity that prevents program dropout.
Analyzes sleep diary trends and treatment response trajectories using AI pattern recognition. Provides triage for sleep concerns with 91% first-call resolution, flags patients showing inadequate treatment response, and monitors sedative-hypnotic tapering progress with escalation protocols.
Learn more about the platform, AI employees, and measurable outcomes powering modern healthcare practices.
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