Introduce efficiency to every step of registry management

Built to scale: Patient registry software solutions tailored to your research

Patient and medical registry software

Reduce the challenges of patient registry management

Designing a registry requires careful and calculated effort that can strip departments of time, money, and other resources.
A well-built medical registry requires:

What makes the RAYLYTIC Platform different

We provide an intuitive platform for growing, managing, and analyzing your medical device or patient registry: efficient, customizable and interoperable.

Data Protection

Data storage in a ISO 27001-certified data center & ISO 13485-certified medical software.

Patient Notification

Simple patient registration and consent process and automated E-Mail notifications.
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AI-Supported Analysis of Imaging Data

E.g., Sagittal balance, loss of correction, and prosthetic wear. Reliable analysis of over 150 radiographic parameters available.

Integration of ePROs

Collect and evaluate PROMs to gain a holistic view of a patient's status.
X-RAY DATABASE

Interoperability

Integration with and existing clinical systems (KIS/PACS) using FHIR HL7 v2, v3.

Data Capture for EU-MDR Post-Market Surveillance

Collect and continuously update data needed to satisfy post-market surveillance requirements under the EU-MDR.

Build scalable and structured patient registries to meet your long-term PMCF requirements

The EU-MDR demands siginificant amounts of long-term post-market device safety data.

The EU-Medical Device Regulation (MDR, 2017/745) aims to increase transparency and traceability at all stages of a device’s lifecycle by means of more stringent pre- and post-market demands.

Maintaining a device or patient registry represents an advantageous method for verifying the long-term safety and performance of medical devices. These repositories of patient and device data serve as a powerful tool to observe the relationship between treatment method and patient outcomes. 

Annex XIV of the EU-MDR specifically includes registries as a potential source of post-market data. 

Are you getting the most value out of your clinical data?

Make sure the must-have technical features of a registry software with our free checklist.

Capture electronic patient-reported outcomes (ePROs), medical images, and eCRFs

ePROs capture the long-term efficacy of treatments from the patient’s point of view when included in a medical registry. 

ePROs can supplement long-term device data by generating a realistic depiction of patient satisfaction. Specifically in the field of orthopedics, there is increasing demand from legislators and clinicians to collect and evaluate ePROs. 

Intelligent software solution for registry management

Streamlined registry design and maintenance

Leverage our software expertise to help build your commitment to evidence-based medicine. 

The RAYLYTIC Platform assists stakeholders in aggregating patient-reported outcomes and radiographic images over time for maintaining a comprehensive medical registry and overcomes the limitations of traditional post-market clinical follow-up studies (PMCF) such as small patient cohorts and hospital selection bias.

Combining ePROs and AI-driven analysis of radiographic imaging data, the RAYLYTIC Platform captures the necessary data to produce a continously robust image of device efficacy and safety in post-market settings. Furthermore, it automates many of the administrative processes that complicate registry management while upholding patient data protection standards.

Additional, EU-MDR-relevant product data can also be integrated into the platform.

artificial intelligence in radiology

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.

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