TMS Treatment Records
Buy and sell tms treatment records data. Transcranial magnetic stimulation protocols and outcomes — depression treatment AI needs real TMS response data.
No listings currently in the marketplace for TMS Treatment Records.
Find Me This Data →Overview
What Is TMS Treatment Records Data?
TMS treatment records data comprises clinical outcomes, protocols, and response measurements from transcranial magnetic stimulation (TMS) therapy, particularly for treatment-resistant depression (TRD). This dataset includes patient demographics, stimulation parameters, severity assessments using standardized scales like HDRS-21, PHQ-9, and BDI-II, and longitudinal response/remission tracking. Real-world TMS data is increasingly valuable for AI model training because it captures actual clinical practice patterns, patient diversity, and outcomes that extend beyond the controlled populations in randomized trials. Naturalistic studies from hospital systems and clinical centers provide the authentic treatment sequences and outcomes needed to predict which patients will respond to specific TMS protocols.
Market Data
81.6%
Deep TMS Response Rate (30 sessions)
Source: ScienceDirect
65.3%
Deep TMS Remission Rate (30 sessions)
Source: ScienceDirect
72.4%
iTBS Response Rate
Source: ScienceDirect
69.2%
iTBS Remission Rate
Source: ScienceDirect
1/3 to 1/2 of patients
Treatment-Resistant Depression Prevalence
Source: ScienceDirect
Who Uses This Data
What AI models do with it.do with it.
Depression AI Model Development
Machine learning systems use TMS response records to predict treatment outcomes and identify which patients will respond to specific stimulation protocols, incorporating EEG features and neuroimaging data for precision targeting.
Clinical Practice Optimization
Healthcare providers analyze naturalistic TMS data to characterize real-world treatment patterns, guide session dosing decisions, and identify moderators of treatment response in routine care settings.
Regulatory and Health Services Research
Government agencies and commercial entities use linked TMS datasets for post-marketing safety surveillance, treatment efficacy comparisons across hospital systems, and health economic evaluation.
Personalized Medicine Research
Researchers integrate TMS records with neuroimaging and EEG data to develop precision targeting algorithms that optimize brain stimulation locations and parameters for individual patient profiles.
What Can You Earn?
What it's worth.worth.
Individual Patient Records
Varies
Pricing depends on data completeness, outcome duration tracked, and neuroimaging/biomarker inclusion.
Multi-Site Datasets
Varies
Bulk hospital or clinical center records command premium based on sample size, standardized outcome measures, and follow-up duration.
Linked Real-World Data
Varies
Integrated datasets combining TMS records with EHR claims, EEG, or MRI data attract higher valuations for AI training.
What Buyers Expect
What makes it valuable.valuable.
Standardized Clinical Outcomes
Records must include validated depression severity scales (HDRS-21, PHQ-9, BDI-II) measured at baseline, during treatment, and follow-up to enable outcome prediction modeling.
Complete Protocol Documentation
TMS parameters required: coil type (H1, standard), stimulation frequency, pulse intensity, number of sessions, target brain region, and any accelerated/iTBS protocols used.
Patient Diversity & Real-World Context
Data should reflect actual clinical populations including comorbidities, prior treatment attempts, and varied patient demographics—not idealized RCT cohorts. Naturalistic data outweighs controlled trial data.
Longitudinal Tracking
Response and remission status must be tracked across treatment course and into follow-up period; sustained response data is particularly valuable for model validation.
Biomarker and Imaging Integration
EEG, fMRI, or other neuroimaging alongside TMS records increases buyer interest for precision medicine and machine learning optimization of stimulation targets.
Companies Active Here
Who's buying.buying.
Build linked datasets combining TMS clinical records with EHR, claims, and registry data for real-world research and regulatory submissions.
Train depression treatment response prediction models using naturalistic TMS outcome data and biomarker features to guide precision medicine algorithms.
Collect post-marketing TMS data from clinical sites for safety surveillance, efficacy comparison across coil designs, and optimization of treatment protocols.
Contribute naturalistic TMS cohort data from routine care to multi-site registries supporting clinical guideline development and personalized targeting research.
Use real-world TMS datasets to evaluate treatment effectiveness beyond RCTs, inform coverage decisions, and measure healthcare quality across providers.
FAQ
Common questions.questions.
Why is real-world TMS data more valuable than clinical trial data?
Real-world TMS records capture diverse patient populations with comorbidities and varied treatment histories that RCTs deliberately exclude. These naturalistic datasets better represent actual clinical practice and enable AI models to predict outcomes in real patients, not idealized trial cohorts. Studies show TMS efficacy in routine care often exceeds RCT estimates, making this data essential for building robust treatment prediction algorithms.
What outcome measures do buyers prioritize in TMS records?
Buyers prioritize validated depression severity scales—HDRS-21, PHQ-9, and BDI-II—measured at baseline, during treatment, and follow-up. Response (≥50% symptom reduction) and remission (symptom resolution) rates are critical. Sustained response data showing outcomes weeks or months after treatment completion is especially valuable for AI model validation and long-term efficacy claims.
How do TMS protocol details affect data value?
Complete documentation of stimulation parameters—coil type (H1 vs. standard), frequency, intensity, session count, and brain target region—is essential. Accelerated TMS and intermittent theta-burst stimulation (iTBS) protocols generate distinct outcome profiles. Data showing which protocol parameters drive better outcomes in specific patient subgroups commands premium pricing for personalized medicine applications.
Can TMS records be linked with other data sources?
Yes. TMS records integrated with EHR data, EEG biomarkers, fMRI, claims data, and patient demographics are highly valuable for real-world evidence studies and precision targeting research. Large-scale linkage initiatives through platforms like SEER-Medicare and commercial entities (Datavant, Optum, Truveta) create multi-modal datasets that support regulatory submissions and advanced AI development.
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