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PersonalMed AI | findAIList | findAIList

findAIList/Tools/PersonalMed AI

ACTIVE

PersonalMed AI

Paid

Precision medicine and pharmacogenomic intelligence for personalized therapeutic outcomes.

Capabilities: Pharmacogenomic profile matching Drug-drug interaction prediction Adverse drug reaction risk scoring Automated medication adherence tracking Clinical trial eligibility screening

9.5

Protocol Reliability Score

Overview

PersonalMed AI is a sophisticated clinical decision support system (CDSS) designed to bridge the gap between genomic data and pharmacological prescriptions. In the 2026 healthcare landscape, the platform operates as a centralized intelligence layer that integrates with Electronic Health Records (EHR) to provide real-time, patient-specific medication recommendations. Its technical architecture utilizes a proprietary Retrieval-Augmented Generation (RAG) framework, querying a curated database of clinical trials, PubMed citations, and FDA/EMA labeling in conjunction with a patient’s unique genetic markers. This allows clinicians to move beyond 'trial and error' prescribing, specifically in high-stakes fields like oncology, psychiatry, and cardiology. The platform utilizes advanced predictive modeling to forecast drug-drug interactions (DDIs) and adverse drug reactions (ADRs) based on metabolic phenotypes (e.g., CYP450 enzyme activity). Positioned as an enterprise-grade solution, PersonalMed AI emphasizes interoperability using HL7 FHIR standards, ensuring seamless data flow across hospital systems while maintaining strict HIPAA and GDPR compliance for sensitive health information.

Advanced Technology

PGx Matching Engine

Analyzes genomic variants (SNPs) to determine drug metabolism rates across 250+ standard medications.

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Feedback & Queries

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User Comments

Multi-Drug Interaction Matrix

N-way interaction modeling that goes beyond binary pairs to analyze the cumulative effect of a 10+ drug regimen.

Metabolic Phenotyping

Predicts enzyme activity (e.g., CYP2D6) to adjust dosages dynamically based on the patient's biological capacity.

HL7 FHIR Bi-Directional Sync

Reads patient history and writes recommendations directly back into the clinician's existing workflow.

Adherence Prediction Model

Uses socio-economic and behavioral data to predict the likelihood of a patient skipping doses.

Side-Effect Propensity Scoring

Calculates a percentage risk for specific side effects like nausea or QT prolongation based on comorbidities.

Regulatory Compliance Ledger

Maintains an immutable audit log of AI-driven recommendations for malpractice and insurance audit purposes.

Specifications

Enterprise Readiness

SSO (Single Sign-On)
HIPAA
GDPR
SOC2 Type II
HDS (France)
Data Sovereignty
Cloud-Native Architecture

Protocol Interface

Structured Patient Data (HL7)Genomic Sequencing Files (VCF)Clinical Notes (Unstructured)Medical Imaging MetadataClinical Reports (PDF)Risk Score JSONEHR Notification TriggersPatient-Facing Dosage Guides

Native Integrations:

Pros & Cons

Advantages

Seamless EHR integration via FHIR
Extensive pharmacogenomic database
Drastic reduction in Adverse Drug Reactions
Saves clinicians hours of research weekly

Limitations

High initial implementation cost
Requires high-quality genomic data to be effective
Complex configuration for smaller clinics

Strategic Edge

"Unique market positioning verified."

Setup Guide

Follow the official protocol for initialization.

Pricing Matrix

LIVE

Clinical PracticeContact Sales

Hospital NetworkCustom

Knowledge Hub

Is PersonalMed AI HIPAA compliant?

Yes, it is fully HIPAA and GDPR compliant, with all data encrypted in transit and at rest using AES-256.

Does it work with existing EMRs like Epic?

Yes, it is natively integrated with Epic, Cerner, and MEDITECH via the FHIR standard.

Can I use it without genomic data?

While the platform still provides drug-drug interaction and adherence insights, the pharmacogenomic features require genomic input (e.g., VCF files).

How often is the medical knowledge base updated?

The database is updated daily by scanning medical journals, clinical trials, and regulatory updates using AI-driven ingestion.

Is there a patient-facing version?

PersonalMed AI primarily targets healthcare providers, but it does offer a patient-facing portal for medication reminders and side-effect reporting.

Execution Protocols

Reducing Polypharmacy Risks in Geriatrics
Elderly patients often take multiple medications that interact poorly, leading to falls or cognitive decline.
View Execution Protocol
01
Ingest patient medication list via FHIR.
02
Run multi-drug interaction analysis.
03
Flag high-risk combinations.
04
Suggest safer therapeutic alternatives.

Deployment Health

STABLE

Monthly Visits45000

Global RankN/A

Bounce Rate32%

Registry Updated:2/7/2026

Capability Sectors

Precision Medicine Medication Adherence Pharmacogenomics Healthcare & Medical

05

Update EHR with pharmacist-approved plan.

Precision Psychiatry Dosage

Antidepressants often take weeks to show efficacy and frequently cause side effects, leading to treatment abandonment.

View Execution Protocol

01

Input patient's genomic markers (CYP2D6/CYP2C19).

02

PersonalMed AI identifies 'slow metabolizer' status.

03

AI recommends a 50% lower starting dose.

04

Clinician prescribes the optimized dose.

05

Patient avoids toxic side effects.

Oncology Therapy Optimization

Chemotherapy drugs have narrow therapeutic windows and high toxicity.

View Execution Protocol

01

Analyze tumor DNA alongside patient germline DNA.

02

Predict metabolic clearance for specific chemotherapeutic agents.

03

Adjust infusion rates in the treatment plan.

04

Monitor real-time labs for early toxicity markers.

05

Refine subsequent cycles based on AI feedback.