Sigmund

Sigmund

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Primary Care Physicians/EMRs

A Valuable Tool for Primary Care Physicians (“PCPs”):

Sigmund was not designed to replace clinical judgment, rather an adjunctive decision support tool. By providing evidence-based, data-driven insights, Sigmund allows PCPs to make better-informed decisions about psychiatric referrals* while reducing the potential for mis/overdiagnosis and misprescription. This can lead to better patient outcomes and more efficient use of healthcare resources.

Key Features of Sigmund Technology:

  1. Clinically-studied: A clinical study with York University considered DNA-based predispositions to depression and anxiety and found that Sigmund’s algorithms generated very high accuracies across multiple metrics. Sigmund is validated.
  2. Comprehensive Data Integration: Sigmund incorporates a wide array of environmental (life experience) data points in its Reference Database to ensure that mental health assessments are evidence-based, holistic and individualized. Sigmund recognizes that you are not the same as everyone else. Sigmund is well-informed.
  3. Expert guidance: Sigmund’s assessment algorithms are guided by actual diagnoses from numerous psychiatric experts. Sigmund mitigates individual bias.
  4. Electroencephalogram (“EEG”) Calibration: Using real-time, controlled (“EEG”) data from Reference Database participants, Sigmund established a “population normal” baseline to which individual data records were compared. Divergence-from-baseline patterns were correlated to environmental answer patterns to calibrate precision. This approach allows for the benefit of EEG calibration without new users having to provide EEG data. Sigmund simplifies.
  5. Genetic predispositions: Sigmund’s custom DNA panel involves numerous anxiety/depression markers to calculate associated anxiety and depression predispositions. DNA structure and implied predispositions are unique to a person. Sigmund considers your unique “foundation”.
  6. AI/Machine-learning-driven Insights: Sigmund uses sophisticated algorithms to analyze complex data relationships and identify patterns that may not be obvious to a human analyst. This leads to more accurate risk assessments and improves the potential for proper pre-emptive intervention. Sigmund is a human/machine hybrid using the best of both worlds.

 

Why Sigmund is a Game-Changer:

  • Improved Assessment Accuracy: By combining clinical expertise with advanced data analytics, Sigmund helps lower the risk of mis/overdiagnosis and misprescription by better-informing decisions.
  • Efficient Patient Care: Sigmund’s AI-powered predictions quickly inform the diagnostic process, saving time for both patients and physicians while ensuring comprehensive assessments.
  • Better Patient Outcomes: By predictive probabilities early, Sigmund helps improve treatment efficacy, resulting in better mental health outcomes for patients.
  • EMR integration: Sigmund can be integrated into many electronic medical record (“EMR”) platforms. Integration streamlines the doctor/patient relationship.

 

Sigmund helps bridge the gap between general medicine and improved mental health care.

Sigmund can be added to EMR systems or accessed directly by PCPs at discounted rates. Please contact the Company here for further information.

*there are approximately eight primary care physicians for each Psychiatrist and this ratio creates a bottleneck that results in long wait times and contributes to misprescription and poor outcomes.