ENTRELACS FOR HEALTHCARE

From assessment guesswork to precision mental healthcare

  • Unlock deeper accuracy with AI-powered conversational assessments and dynamic psychometrics.

  • Diagnose with confidence using continuous, data-rich mental health insights.

  • Deliver the right care faster through tailored, precision treatment matching.

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The Problem

The assessment gap driving inefficiency and poor outcomes

Mental health care faces a fundamental problem: the assessment tools we rely on weren't designed for the complexity of the conditions we treat or the technology available to us today.

Our Solution

Entrelacs addresses these challenges at their foundation with assessment technology designed for precision mental health care.

Comprehensive initial assessment

Precision psychometrics deliver multi-dimensional insights, risk prediction, and diagnostic guidance.

Clinical advantages:

  • Higher precision

  • Captures nuanced patterns

  • Better patient experience

  • Structured documentation

  • Adaptive questioning

Precision diagnostic support

Advanced modeling offers precise, multi-dimensional diagnostic decision support.

Diagnostic benefits:

  • Multidimensional profiling

  • Differential diagnostic suggestions

  • Risk stratification

  • Severity assessment

  • Confidence indicators

Continuous progress monitoring

Identifies changes early, boosting adherence, insight, and treatment outcomes.

Treatment optimization:

  • Therapy modality recommendations based on symptom profiles

  • Medication considerations aligned with symptom patterns and patient characteristics

  • Patient-specific factors that may influence treatment response

  • Contraindications and special considerations flagged automatically

  • Expected treatment trajectory based on similar patient profiles

Predictive early warning system

Predictive system prevents crises; alerts enable proactive intervention.

Monitoring advantages:

  • Measurement-based care without administrative burden on clinicians

  • Early detection of treatment non-response

  • Patient engagement between sessions improves adherence and therapeutic alliance

  • Trend analysis showing whether patient is improving, stable, or deteriorating

  • Automatic alerts when concerning patterns emerge

Personalized treatment matching (Coming soon)

AI recommends optimized, evidence-based treatments tailored to individual profiles.

Prevention capabilities:

  • Crisis risk alerts notify clinicians of concerning changes requiring immediate attention

  • Relapse prediction based on historical patterns and current trajectory

  • Proactive outreach before patients reach crisis points

  • Reduced emergency utilization

  • Longitudinal understanding of each patient's unique warning signs and triggers

Benefits for Clinicians

Measurable impact on clinical practice and patient outcomes

FOR CLINICIANS

Clinical tools that enhance your practice

Entrelacs integrates seamlessly into your clinical workflow, providing the tools you need to deliver more accurate diagnoses and personalized treatment, and continuous patient support.

  • 65-80% precise assessments for confident, accurate diagnosis and treatment planning.

  • Sleep easier knowing the system is watching for warning signs you might miss.

  • Personalized check-ins boost engagement and adherence

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FOR PAYERS & HEALTH SYSTEMS

Data-driven mental healthcare management

Identify members at risk for crisis or deterioration before expensive emergency or inpatient interventions become necessary. Prevention is dramatically cheaper than crisis response.

  • Measure treatment response across your network

  • Reduce trial-and-error in treatment selection with precision matching.

  •  Automated collection of required quality metrics (HEDIS, STAR ratings).

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Clinically Validated, Research-Backed

Scientific Partnerships

Active collaborations with WHO and OECD social connection initiatives. Participant in EU Horizon 2020's LONELY-EU project validating measurement across spanerse European populations. Advisory relationships with leading academic medical centers.

Peer-Reviewed Research

Our approach is grounded in published research on dynamic network modeling, adaptive assessment, conversational AI in mental health, and predictive modeling for crisis prevention.

Founded by Dr. Hans Rocha IJzerman, Associate Researcher at Oxford Internet Institute and global expert on social connection.

Clinical Validation Studies

Ongoing validation studies in partnership with academic medical centers demonstrate diagnostic accuracy, treatment outcome prediction, and crisis prevention effectiveness.

Continuous Improvement

We continuously validate and refine our algorithms using de-identified aggregate data, ensuring the platform improves over time while maintaining privacy. Our models learn from outcomes across diverse populations.

Regulatory Compliance

Designed with healthcare standards in mind: HIPAA compliant, SOC 2 Type II certified, following FDA guidance for clinical decision support software.

Scientific Partnerships

Active collaborations with WHO and OECD social connection initiatives. Participant in EU Horizon 2020's LONELY-EU project validating measurement across diverse European populations. Advisory relationships with leading academic medical centers.

Getting started

FOR CLINICIANS & PRACTICES

Schedule a demonstration to see how Entrelacs can enhance your clinical workflow

We'll customize the demo to your practice type and patient population.

  • Platform access for selected patients

  • Clinician training on interpreting insight

  • Integration support (EHR, practice management)

  • Outcome data showing impact on your practice

Request Clinician Demo

FOR PAYERS & HEALTH SYSTEMS

Consult with our team about population health implementation strategies

We'll walk through ROI modeling specific to your member population, network structure, and current utilization patterns.

Schedule a demo