Introduce efficiency to every step of registry management

Patient registry software built for real-world clinical workflows

The RAYLYTIC Platform is a patient registry software platform designed for hospitals, clinical research teams, and specialty registries that require seamless clinical integration, automated workflows, and secure longitudinal follow-up.

RAYLYTIC Value Pillars
Why RAYLYTIC?

What Makes Our Patient Registry Software Different

Seamlessly Embedded in Clinical Workflow

Patient enrollment, form completion, and follow-ups happen automatically as part of routine care, saving time while ensuring complete, high-quality data collection.

Complete Data Privacy & Control

Patient data always remains absolutely secure. Automated patient surveys, clinical data capture forms (eCRFs), and follow-ups run through your own infrastructure. Full GDPR compliance with complete institutional control.

Empower Your Clinical Teams

Configure registries with drag-and-drop forms. No coding required. Real-time dashboards deliver actionable insights that drive immediate quality improvements and better patient outcomes.

Features for patient registries

Our Patient Registry Software Seamlessly Embeds in Your Clinical Workflow.

Unlike generic survey tools or EDC platforms, the RAYLYTIC Platform embeds in routine care to capture highly contextualized clinical and outcome data along the patient journey.

Value for you: Sustainable, scalable registry that grows with routine care activity, not a sidecar application staff must remember to "feed."

Secure, GDPR-Compliant, Hospital-Controlled Follow-Up

Long-term registries depend on consistent follow-up, but manual outreach burdens study nurses. RAYLYTIC automates patient communication while keeping identifiable data under hospital control.

Value for you: Maintain high follow-up rates and robust longitudinal data without expanding external risk or overloading staff with manual tasks.

Actionable Quality Insights from Unified Data

Real-time dashboards and reports turn clinical data and outcomes into immediate tools for clinical decision-making, pathway optimization, and performance benchmarking.

Value for you: Transform routine care data into strategic assets that demonstrate clinical excellence to leadership, payers, and regulators—while continuously improving patient outcomes.

Patient-reported data collection in clinical routine

Our users regularly achieve follow-up response rates of over 80%.

RAYLYTIC – Clinical Registries
How it works

Turn clinical events into registry actions.

Detect relevant encounters, procedures, and diagnoses automatically. Then trigger enrollment, forms, and follow-ups aligned with your clinical protocols.

01
Define inclusion logic
Define inclusion rules using diagnosis codes, procedures, encounters, or departments.
ICD · OPS · SNOMED FHIR Encounter types Department-based
02
Automatic eligible patient identification
The system continuously monitors EHR events and automatically identifies eligible patients when criteria are met.
Real-time monitoring Auto-flagging No manual screening
03
Event-driven enrollment & form dispatch
Trigger baseline, peri-procedural, and follow-up forms automatically when an encounter is created, a procedure is scheduled, or a diagnosis is documented.
Baseline forms Peri-procedural Follow-up automation Protocol-aligned
04
Timepoints aligned to treatment milestones
Registry timepoints (pre-op, discharge, 3 months, 12 months, yearly) follow the patient's actual clinical journey, ensuring data collection happens when it's clinically relevant, not on a rigid calendar.
Pre-op · discharge 3M · 12M · yearly Care-aligned
05
Real-time oversight & analytics
Monitor enrollment rates, form completion, and follow-up compliance across departments and timepoints — with dashboards that update as clinical activity happens, not days later.
Enrollment tracking Completion rates Live dashboards
Result
Scalable registry that grows with routine care
Result
Clinical staff freed for higher-value tasks
Result
No separate "sidecar app" to maintain
21 CFR Part 11 GCP HIPAA ISO 13485 ISO 27001 GDPR

Start your hospital registry today.

RAYLYTIC turns routine care into your most valuable evidence asset. We’ll help you configure triggers, forms, and reports tailored to your workflows.

FAQs about patient registries

A patient registry is a structured repository of clinical data that uses observational research methods to answer questions about patient health conditions, treatments, and outcomes. It collects detailed information on patients’ diagnoses, treatments, and responses over time, often focusing on specific diseases or conditions. By organizing and analyzing this data, patient registries help researchers, healthcare providers, and policymakers understand trends, improve care strategies, and facilitate medical advancements. Patient registries are crucial tools in improving patient outcomes, conducting clinical trials, and supporting evidence-based medicine.

The main difference between an Electronic Health Record (EHR) and a patient registry lies in their purpose and use of clinical data. An EHR is primarily used by healthcare providers to document a patient’s medical history, track current clinical findings, and manage ongoing care. It focuses on individual patient care and is part of daily clinical practice. In contrast, a patient registry is designed for research purposes, collecting and managing data from a group of patients to study specific conditions, treatments, or outcomes. While an EHR supports personalized healthcare, a patient registry helps researchers analyze patterns and improve population-level health outcomes.

The difference between a study database and a patient registry lies in their purpose, structure, and use of data.

A study database is typically created for a specific research project and contains data collected from a defined group of participants. It is designed to support a particular research question or hypothesis, and the data is often collected prospectively, as part of a controlled study or clinical trial. Study databases are usually time-limited and are specific to a single study.

On the other hand, a patient registry is a more long-term, ongoing collection of health-related data from patients, often focused on a particular disease, condition, or treatment. Patient registries are designed to track health outcomes over time and may include both retrospective and prospective data. They are typically used for observational research, public health monitoring, and improving care for specific patient populations.

In summary, while a study database focuses on a specific research question and is often part of a defined study, a patient registry is an ongoing resource that collects data to improve understanding of diseases or treatments across broader populations.