NxtCure

Product Introduction

1. Definition: NxtCure is an AI-driven HealthTech platform and clinical trial matching ecosystem designed to bridge the gap between breakthrough medical research and patient enrollment. Technically, it functions as a specialized SaaS solution that utilizes advanced machine learning algorithms and Electronic Health Record (EHR) integration to automate the identification, tracking, and management of the clinical trial journey for both patients and healthcare providers.

2. Core Value Proposition: NxtCure exists to solve the critical inefficiency in clinical trial recruitment and patient access to life-saving treatments. By leveraging AI-powered matching, seamless Epic EHR integration, and a comprehensive patient support suite, the platform ensures high-precision eligibility screening, reduces administrative burden for physicians, and provides patients with a structured, guided pathway to experimental therapies.

Main Features

1. AI-Powered Eligibility Matching: NxtCure utilizes proprietary advanced algorithms to parse complex health data against rigorous clinical trial eligibility criteria. The system analyzes structured and unstructured medical history data to generate precise matches, providing an "Eligibility Score" for each trial. This allows users to prioritize opportunities based on medical fit, geographical proximity (travel distance), and the statistical likelihood of successful candidacy.

2. Seamless Epic EHR Integration: The platform is engineered to connect directly with Epic Electronic Health Record systems. This technical integration facilitates the secure, automated transfer of de-identified patient data, significantly reducing manual data entry errors and streamlining the pre-screening process. It allows healthcare organizations to maintain data integrity while accelerating the workflow from diagnosis to trial enrollment.

3. 24/7 AI Patient Assistant & Chatbot: NxtCure features an always-on, AI-driven conversational interface designed to support patients throughout their trial journey. This tool provides real-time answers to technical questions about trial protocols, provides logistical support, and acts as a first-line resource for patient education, ensuring higher retention rates and reduced drop-outs during the clinical process.

4. Integrated Trial Journey Management: Beyond initial matching, NxtCure offers a suite of tools including a Guided Journey module, Calendar Sync for appointment tracking, and real-time status updates. These features transform a fragmented search process into a managed lifecycle, providing step-by-step guidance from initial matching through to enrollment and active participation.

Problems Solved

1. Pain Point: The "information gap" in clinical research, where patients are unaware of breakthrough treatments and providers lack the time to manually search trial databases. NxtCure addresses this through automated, real-time notifications and centralized trial mapping.

2. Target Audience:

• Patients: Individuals seeking advanced or breakthrough treatments for chronic or terminal conditions (e.g., oncology patients).
• Healthcare Providers/Physicians: Doctors and specialists requiring an efficient clinical trial recommendation system to supplement standard care options.
• Clinical Researchers & Hospital Partners: Organizations looking to improve enrollment metrics and streamline patient identification via EHR-integrated tools.

3. Use Cases:

• Oncology Trial Sourcing: A physician using AI recommendations to find FDA-approved treatments or early-phase drug trials for a patient who has exhausted standard care.
• Large-Scale Enrollment Management: Hospital systems using Epic integration to identify eligible cohorts for multi-site clinical studies.
• Patient-Led Research: Individuals uploading de-identified EHR data to gain a prioritized list of global trials suitable for their specific diagnosis.

Unique Advantages

1. Differentiation: Unlike traditional trial databases (e.g., ClinicalTrials.gov) which require manual filtering and high medical literacy, NxtCure automates the process with AI and EHR connectivity. Its integration with Epic gives it a distinct technical advantage in the hospital ecosystem, ensuring that trial matching is part of the clinical workflow rather than an external task.

2. Key Innovation: The "Eligibility Score" and the involvement of a world-class Advisory Board from institutions like Stanford University and Johns Hopkins University School of Medicine. This ensures that the AI’s matching logic is grounded in high-level oncology and clinical research expertise, providing a level of clinical validity that generic matching tools lack.

Frequently Asked Questions (FAQ)

1. How does NxtCure ensure the privacy of my medical data? NxtCure is fully HIPAA-compliant. All Electronic Health Records (EHR) uploaded to the platform are de-identified and anonymized before analysis. Personally Identifiable Information (PII), such as full names and addresses, is removed to ensure that patient privacy is maintained at every stage of the matching process.

2. Can physicians use NxtCure to recommend clinical trials to their patients? Yes. NxtCure provides a dedicated interface for physicians to log in and access an AI-powered clinical trial recommendation system. After reviewing all standard care options, providers can use the platform to identify FDA-approved treatments and active trials, facilitating a more informed discussion with their patients regarding experimental care.

3. What happens if a patient matches with multiple clinical trials? NxtCure provides a prioritized list based on an Eligibility Score. This score accounts for medical fit, travel distance, and the likelihood of meeting the trial's specific entry requirements. Patients and providers can then choose to reach out to multiple trial coordinators simultaneously through direct links provided within the platform.

4. When will NxtCure be available for general use? NxtCure is scheduled for official launch in September 2026. However, healthcare companies and patients can currently join the waitlist for early access and personalized onboarding during the initial Fall 2026 rollout phase.