AI Enhanced Genetic Risk Assessment Workflow for Patients

Genetic Risk Assessment Workflow

1. Initial Patient Consultation

1.1. Patient History Review

Collect comprehensive family and medical history to identify potential genetic predispositions.

1.2. Risk Assessment Discussion

Discuss the purpose and benefits of genetic risk assessment with the patient.

2. Genetic Testing Selection

2.1. Test Identification

Utilize AI-driven tools such as GeneSight to recommend appropriate genetic tests based on patient history and risk factors.

2.2. Test Approval

Obtain informed consent from the patient for the selected genetic tests.

3. Sample Collection

3.1. Sample Preparation

Collect biological samples (e.g., blood, saliva) ensuring adherence to protocols.

3.2. Sample Submission

Submit samples to accredited laboratories for genetic analysis.

4. Data Analysis

4.1. Genetic Data Interpretation

Employ AI-powered platforms like 23andMe or Invitae for preliminary data analysis and interpretation of genetic variants.

4.2. Risk Stratification

Utilize predictive analytics tools to stratify patients based on genetic risk factors.

5. Report Generation

5.1. Automated Reporting

Generate comprehensive reports using AI tools that summarize genetic findings and risk assessments.

5.2. Review by Genetic Counselor

Ensure reports are reviewed by a certified genetic counselor for accuracy and clarity.

6. Patient Follow-Up

6.1. Results Discussion

Schedule a follow-up appointment to discuss test results and implications for patient health.

6.2. Personalized Action Plan

Develop a personalized health management plan utilizing AI-based recommendations tailored to the patient’s genetic profile.

7. Continuous Monitoring and Support

7.1. Ongoing Risk Assessment

Implement AI systems to monitor patient health and adjust risk assessments as new data becomes available.

7.2. Patient Engagement Tools

Utilize AI-driven health apps like MyGeneRank for continuous patient engagement and education.

8. Feedback and Improvement

8.1. Workflow Evaluation

Regularly assess the workflow for efficiency and effectiveness, incorporating AI analytics for data-driven improvements.

8.2. Update Protocols

Revise and update genetic risk assessment protocols based on the latest research and technological advancements.