Healthcare AI Model

Model Overview

The healthcare model specializes in medical and pharmaceutical research contexts. Built on an HCP database of all licensed physicians and their prescription history in the US, plus a wide variety of healthcare marketing research surveys, the model provides accurate representation of physician decision-making and prescribing behavior.

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Key Capabilities

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Marketing Research Applications

• Physician advisory board simulations
• HCP attitudes and perception studies
• Treatment preference and prescribing pattern research
• Market access and payer perspective studies
• Product positioning and messaging research
• Competitive intelligence and market research
• Medical communication and education effectiveness

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Validated Populations

• Primary care physicians
• Specialist physicians by discipline
• Nurse Practitioners and Physician Assistants
• Healthcare professionals by specialty and experience

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Model Training & Data Sources

Trained on:

• HCP database of all licensed physicians in the US and their prescription history
• Wide variety of healthcare marketing research surveys
• Physician prescribing patterns and clinical decision-making data
• Medical terminology and professional communication patterns
• Healthcare professional attitudes and treatment preferences

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Compliance & Ethics

Simsurveys has not undergone formal SOC 2 or HIPAA certification. Nevertheless, our policies, procedures, and technical controls are developed to adhere to the underlying security and privacy principles of these frameworks. Certification remains part of our long-term roadmap; today, we maintain encryption, access control, monitoring, confidentiality agreements, and secure data retention/deletion consistent with these standards.

View detailed security and compliance practices →

Frequently Asked Questions

What is synthetic HCP data?

Synthetic HCP data is AI-generated survey responses that replicate how real physicians and healthcare professionals answer research questions. Simsurveys' healthcare model is trained on a database of all licensed U.S. physicians and their prescription history, producing responses that match live physician panel data with KL divergence scores of 0.03-0.08.

How accurate is synthetic physician survey data?

Simsurveys' synthetic physician data achieves KL divergence scores of 0.03-0.08 against live HCP panels — meaning synthetic and real distributions are nearly identical. The model has been validated against the AMA Prior Authorization Survey and a sarcopenia physician knowledge study, with 80-90% of questions meeting benchmark thresholds.

What physician specialties does the healthcare model cover?

The healthcare model covers 15 HCP specialties including primary care physicians, specialist physicians by discipline, nurse practitioners, and physician assistants. It generates responses reflecting specialty-specific prescribing patterns, treatment preferences, and clinical decision-making from the underlying physician database.

Can synthetic HCP data replace physician advisory boards?

Synthetic HCP data can simulate physician advisory board inputs for early-stage research, market sizing, and hypothesis generation at a fraction of the cost and time. For final regulatory or clinical decisions, we recommend using synthetic data alongside traditional physician panels rather than as a complete replacement.

How much does synthetic physician research cost compared to traditional HCP panels?

A traditional HCP study with 500 physicians costs $64,500-$123,500 including recruitment ($10-20K), physician incentives ($37.5-75K at $75-150 per complete), and project management. Simsurveys generates equivalent synthetic physician data for $1,000 per study — over 98% cost reduction with results in minutes instead of weeks.

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