Frequently Asked Questions

Yes! Patient privacy is a top priority at ThinkGenetic. We have several safeguards in place in accordance with regulatory and patient privacy regulations.

No. ThinkGenetic does not provide medical advice or genetic counseling to patients.

No. ThinkGenetic is not a genetic testing laboratory. FindEHR campaigns highlight important information about genetic testing to the providers of at-risk patients, when available.

No. ThinkGenetic does not provide direct clinician consultation to patients. To learn more about the ways ThinkGenetic provides genetic education in our campaigns, contact us.

ThinkGenetic’s FindEHR does not fall under the FDA’s definition of software as a medical device because it does not provide stand-alone recommendations or diagnostics.

Our goal at ThinkGenetic is for every individual flagged “at-risk” for a genetic condition to be one that our clinical experts agree is appropriate for clinical evaluation. In our published findings our algorithms have been found to have sensitivity rates of 77 – 100%! You can view our medical publication for more information.

The best way to get in touch with ThinkGenetic is through our Contact Us page so we can direct you to the correct individual based on your question or interest. Click here to submit a form today.

ThinkGenetic currently works with data partners that vary in scope and size across the US. This provides a base network of 50 million patient lives in diverse geographic areas. Our partner networks are always expanding! See our current coverage map for FindEHR below.

ThinkGenetic has multiple service offerings starting at various price points. We encourage direct conversation with our team of specialists to better understand the unique needs of your project including conditions of interest and overall project goals. We welcome you to reach out and request a demo of FindEHR here.

While ThinkGenetic projects are curently being conducted on genetic conditions our capabilities can reach at-risk patients with rare diseases whether genetic in origin or due to another etiology.

Structured and unstructured data play crucial roles in providing a comprehensive view of a patient’s medical history. Structured data in EHRs refers to information that is organized and formatted in a specific way, typically using predefined categories or fields. This data is highly organized and follows a consistent format, which makes it easy to search, retrieve, and analyze.

Examples of structured data in EHRs include:

• patient demographics (name, age, gender, contact information),
• vital signs (blood pressure, heart rate, temperature),
• lab results (numerical values of various tests),
• medication lists (name, dosage, frequency),
• allergies and adverse reactions,
• diagnosis codes (ICD-10 codes),
• procedures performed (CPT codes)

Unstructured data, on the other hand, is information that does not conform to a specific format or predefined structure. It is often in the form of free-text narratives, clinical notes, scanned images, handwritten notes, and other types of content that don’t fit neatly into structured fields. Unstructured data is more challenging to process and analyze using traditional methods due to its lack of consistent structure.

Examples of unstructured data in EHRs include:

• physician’s clinical notes and observations,
• radiology and pathology reports,
• consultation reports from specialists,
• patient history narratives,
• progress notes,
• handwritten notes or annotations.

ThinkGenetic has several starting rates for FindSM campaigns depending on the size and scope of your project. We welcome you to reach out and request a demo of FindSM here.

The ThinkGenetic team includes clinical and technical genetic experts providing trusted solutions and tools to patients and healthcare providers. In addition, we continue to test our tools for accuracy and trustworthiness with patients and their healthcare providers through disease-specific pilot studies, as well as formalized efficacy studies.