Suturly is designed to serve as the intervention arm for perioperative education and outcomes research. Define a study protocol, enroll patients, deliver the intervention, and capture validated outcomes — all through the same platform, with publication-ready data export.
Every component of the platform — from enrollment to data export — is designed around the requirements of clinical research. No retrofitting. No workarounds.
Configure intervention arm: procedure, stages, content modules, PRO instruments, and capture timepoints.
Consent workflows, data handling documentation, and audit trails designed for institutional review.
One-click enrollment from clinic. Control arm receives standard care; intervention arm receives Suturly protocol.
Validated PROs captured via SMS at defined timepoints. Completion and adherence metrics tracked automatically.
Structured CSV/JSON export of all completion, outcomes, and adherence data. Ready for statistical analysis.
Does structured, SMS-initiated perioperative education improve patient-reported shared decision-making and reduce decision regret compared to standard counseling?
Can structured pain expectations delivered pre-operatively via Suturly modify post-surgical pain trajectories and reduce opioid utilization in breast and abdominal surgery?
Prospective multi-site collection of patient-reported outcomes, satisfaction, and functional measures across chest, genital, and facial affirmation procedures.
Every feature below was designed around published research priorities in perioperative outcomes, pain management, shared decision-making, and patient-reported outcome science.
Validated instruments delivered at defined timepoints with automated non-responder reminders. The single highest-demand feature across surgical outcomes research.
Daily VAS pain capture via SMS reply for the first 7 days, then weekly for 6 weeks. Automated threshold alerts flag patients deviating from expected recovery curves.
Structured wound and scar photo submission through the web layer at defined timepoints. Standardized framing guidance ensures consistent, analyzable images.
Preoperative intake captures known risk factors. Protocol intensity adjusts automatically — high-risk patients receive more frequent check-ins, additional education modules, and lower alert thresholds.
SMS-based medication check-ins for anticoagulation compliance, opioid utilization logging, and post-op medication adherence. Reply-based capture with automated reminders for missed doses.
Structured self-assessment of tactile, pressure, and erogenous sensation at defined post-operative intervals. Critical for reinnervation research in breast reconstruction and gender-affirming surgery.
Randomize patients into different education protocols and measure which produces better outcomes. Compare content formats, delivery timing, intensity levels, or module inclusion — with statistical rigor built into the platform.
Suturly isn't a static content library. Patient outcomes, completion rates, and comprehension data feed back into the content authoring process — identifying which modules underperform and driving continuous, evidence-based revision.
Validated patient-reported outcome measure for breast surgery — satisfaction with breasts, psychosocial well-being, sexual well-being, and satisfaction with care.
Patient-reported outcome measure for weight loss and body contouring — body image, physical function, psychosocial function, and satisfaction.
Measures patient-reported outcomes for facial aesthetics — satisfaction with facial appearance, psychological function, and aging appraisal.
NIH-developed measure of pain's impact on daily activities — captures functional limitations rather than just pain intensity.
Simple 0–10 pain intensity rating captured via SMS reply. Ideal for daily post-op tracking with automated threshold alerts.
Five-item validated measure of distress or remorse after a healthcare decision — key for shared decision-making research.
Every data point Suturly captures — completion metrics, PRO scores, adherence rates, response timestamps — is structured for analysis from the moment it's collected. No manual extraction. No reformatting.
Export in the format your team uses, with full audit trails for research compliance.
Standard comma-separated format compatible with R, Python, SPSS, SAS, and Excel.
Nested format preserving full relational structure — patients, timepoints, instruments, responses.
Export formatted for direct import into REDCap projects — the standard for multi-site clinical research data management.
RESTful API for real-time data access, custom dashboards, and integration with institutional analytics platforms.
We're seeking surgeon-scientists and clinical research teams who want to study perioperative education, shared decision-making, or patient-reported outcomes — and need the infrastructure to do it at scale.
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