What will be required of me and my employees?

There is very little to do on your part. We ask that you feed back to us which practices purchased so that we can feed that back to the AI machine learning. 

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How will inquiries from new interested practices be delivered to me?

During our initial setup, we will attempt to integrate directly into whatever system you have in place. This process is flexible and designed to assist you in managing the incoming inquiry requests.

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Can you show me a few examples?

We never share client information due to privacy, business and HIPAA reasons. However, we can give a few examples of recent programs we have been exploring.

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Multi-Office Practice - Diversity of Procedures, Staffing, Membership Program

This example combined numerous objectives as a diverse targeting mission for the artificial intelligence. The system was able to identify which populations were the most productive for the practice, then harvest patients and procedures. Through adaptive analytics and follow-up, the system was able to average 583 appointments per month, and 36 membership plans per month. In addition, a total of 211 staffing inquiries.

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Pediatric Dentistry Practice - Highly Focused Patient Types + Proximity

This example combined highly targeted patient types in proximity to the practice's office location. The system identified adults with appropriately aged children and added them to a potential patient list. Through adaptive follow-up combined with proximity tracking, the system was able to identify the physical homes of these parents, and then blanket the household with follow-up. The system averaged 588 parents per month, bringing new pediatric patients into the physical office for appointments.

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Wellness Center - Specific Procedures + Proximity Targeting

This example combined procedure targeting with proximity of patients to the center. The system learned what specific target procedure searches were being conducted in real-time, combined with research being conducted on medical sites. Those potential patients were acquired, and the follow-up system learned how to drive those potential patients into the physical center location. The system averaged 566 physical office visits ​per month.

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Women's Health Clinic - Specific Procedures + Focused Patient Types + Limited Capacity

This example combined specific procedure types along with a narrowly focused patient type. The system was able to identify clusters of the specific patient type using research and search terms, then track those users back into physical office visits. This clinic had hard limits on capacity. The system was able to adjust to ensure the clinic hit capacity each month.

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Why are you offering this to medical equipment and technology companies?

The AI is for large pharmaceutical companies to target specific patient types. You will be helping us expose our follow-up artificial intelligence to additional patient types to improve its robustness and its ability to learn and utilize psychological influences.