Smarter Trials.
Fewer In Person Visits.
Better Data.

Appiell is Precefi’s proprietary virtual platform, a HIPAA-compliant, cloud-based solution that brings the clinical trial closer to the patient while giving sponsors real-time visibility into the data that matters most.

The Problem with Traditional Trial Monitoring

Clinical trials still rely heavily on in-office visits for data collection, patient assessment, and compliance monitoring. This creates real challenges for sponsors and CROs: higher patient dropout rates, slower enrollment timelines, inconsistent data quality, and escalating per-patient costs. For dermatology and ophthalmology studies, subjective visual assessments introduce variability that can cloud endpoints and complicate regulatory submissions.

Appiell was built to solve these problems, not by replacing the investigator, but by extending the reach of the clinical site into the patient’s daily life.

What Is Appiell?

Appiell is a highly scalable, HIPAA-compliant SaaS platform that follows the patient journey from pre-screening through study completion. It integrates seamlessly with existing site workflows to capture high-quality clinical data, including images, eDiaries, and video, while reducing the burden on both patients and sites.

Unlike single-sponsor platforms tied to specific product portfolios, Appiell is fully company-agnostic. Any sponsor, any CRO, any therapeutic area within our network can leverage the platform without licensing restrictions or vendor lock-in.

Following Patient Journey Thru a Virtual Platform

  • Highly scalable, secure HIPAA Compliant SaaS/Cloud based platform
  • Back-end Data Analytics leading to quality products and treatment plans catered to specific patient populations

Virtual Platform provides an intuitive process for seamless data capture and engagement

Eligibility Screening

Pre-screening tools to help expedite patient recruitment and enrollment

eDiary, Image Capture, Surveys

Advanced image capture technology to reduce need for expensive office-based photography and frequent follow-up office visits

Notifications / Reminders

Adverse event monitoring to allow for accurate and timely reporting of side effects and medical complications

Real-Time Data Capture

Real-time data collection and management with AI predictive modeling for exploring secondary endpoints

Compliance, Continuous Engagement & Tracking

Video capture e-diaries and patient compliance monitoring to ensure patients adhere to strict clinical study protocols

Platform Capabilities

Why Sponsors Choose Appiell

Patient Experience Research Tools

Results Tracking
and Visualization

Periodic “selfies” – visually track treatment progress over time. Seeing improvement is motivational and reinforces the value of treatment.

Immediate
Feedback Loop

Any concerns/Positive outcomes can be reported directly. Fast feedback mechanism increases satisfaction & retention rates.

Data Collection
For Personalized Care

Data collected from taking periodic selfies can be used to tailor future treatments to patient’s specific needs and preferences.

Social Proof and
Community Building

Patients sharing their experience serves as a valuable social tool, attracting new users while creating a community around the product.

AI Validated Predictive Model

A pilot study was conducted to evaluate the functionality and potential of the virtual platform in the treatment of patients with Glabellar Frown Lines (GFL) using Botox®

– 71 patients were monitored at 6 centers in US
– Between age group 22 – 66 years old
– 92% Females / 1-5 Fitzpatrick Skin Types

Study data was published in the Fall 2022 edition of the Aesthetic Surgery Journal

100%

AI Platform Agreement

60%

Physician to Physician Agreement

78%

Individual Physician Self Agreement

67%

Physician to AI Platform Agreement

Key Findings

AI platform was more sensitive and consistent in detecting rhytids/fine lines compared to the physicians

The high-res photos obtained via AI platform were on par with professional clinic photos for assessment purposes

Majority of physicians (>80%) and patients (>87%) preferred the convenience provided by AI platform (assessments, communication, remote monitoring)

Appiell’s AI platform has the potential to significantly improve diagnoses through real time objective self assessments

“The future of clinical trials isn’t about replacing the investigator – it’s about extending their reach.”

Richard Panico – CEO Precefi

Built for Visual Specialties

Dermatology trials depend on visual assessment more than any other therapeutic area. Appiell was designed with this in mind. The platform’s image capture capabilities are optimized for skin conditions, wound healing progression and other visual endpoints where standardization and resolution directly impact data quality.

When combined with Precefi’s biomarker and translational services, Appiell enables a level of integrated data collection that traditional CRO models simply cannot match, objective imaging alongside molecular-level insights, all flowing through a single platform.

Appiell also enables a greater frequency of image capture than traditional site visits allow, giving sponsors a richer visual narrative of treatment response. This expanded photographic timeline becomes a powerful asset that sponsors can leverage when presenting clinical progress to prospective partners and investors.

How It Works

Step 1: Configure

We customize the platform to your protocol, visit schedules, image capture requirements, eDiary prompts, and compliance parameters.

Step 2: Deploy

Sites and patients are onboarded with minimal training. The app is intuitive by design, built for patients, not IT departments.

Step 3: Capture

Patients submit images, eDiary entries, and video check-ins on schedule. Data flows directly to the sponsor dashboard in real time.

Step 4: Analyze

AI-powered analytics surface trends, flag compliance issues, and support secondary endpoint exploration, all while the study is still running.

See the Platform
in Action

Schedule a demo to see how Appiell can integrate into your next study, or contact us to discuss how the platform fits your specific protocol requirements.