About Srotas Health

Srotas Health Ltd develops Srotas Connect, an AI-driven platform that utilizes behavioral science to enhance patient identification and recruitment for clinical trials. By processing large health datasets in real-time, the platform significantly accelerates candidate selection and improves retention rates, addressing inefficiencies in traditional trial methodologies.

```xml <problem> Oncology clinical trials often face delays due to inefficient patient identification and recruitment processes. Clinicians struggle to manage unstructured patient data and lack real-time insights, hindering their ability to enroll suitable candidates and ensure optimal patient care. Traditional methods are time-consuming and can lead to high retention costs. </problem> <solution> Srotas Health offers Srotas Connect, an AI-driven platform designed to accelerate patient identification, streamline recruitment, and improve retention rates for oncology clinical trials. The platform processes large volumes of health data in real-time, leveraging behavioral science and generative AI to identify ideal candidates and personalize the trial approach. Srotas Connect analyzes patient preferences, automates communication, and predicts patient engagement, enabling clinical researchers to conduct more effective and efficient trials. The platform also provides clinicians with comprehensive insights from complex data, facilitating better medical decision-making and improved patient outcomes. </solution> <features> - AI-based patient identification that processes terabytes of health data to identify suitable candidates - Behavioral analysis for recruitment, including online consent forms, appointment bookings, and tele-consultations - Generative AI to automate email communications and virtual consultations - On-trial prognosis using real-time data and biomarker analysis to predict patient engagement and response to treatment - LLM-based medical search to extract actionable insights from unstructured clinical data - Cohorting and feasibility analysis for improved trial planning - Real-time notifications for simplified patient matching - DICOM analysis capabilities </features> <target_audience> The primary target audience includes oncology researchers, clinicians, pharmaceutical companies, and contract research organizations (CROs) involved in clinical trials. </target_audience> ```

What does Srotas Health do?

Where is Srotas Health located?

Srotas Health is based in Belfast, United Kingdom.

When was Srotas Health founded?

Srotas Health was founded in 2023.

Location

Belfast, United Kingdom

Founded

2023

Employees

5 employees

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Srotas Health

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Executive Summary

srotas.health 500+

Founded 2023 – Belfast, United Kingdom

Funding

No funding information available.

Team (5+)

No team information available.

Company Description

Problem

Oncology clinical trials often face delays due to inefficient patient identification and recruitment processes. Clinicians struggle to manage unstructured patient data and lack real-time insights, hindering their ability to enroll suitable candidates and ensure optimal patient care. Traditional methods are time-consuming and can lead to high retention costs.

Solution

Srotas Health offers Srotas Connect, an AI-driven platform designed to accelerate patient identification, streamline recruitment, and improve retention rates for oncology clinical trials. The platform processes large volumes of health data in real-time, leveraging behavioral science and generative AI to identify ideal candidates and personalize the trial approach. Srotas Connect analyzes patient preferences, automates communication, and predicts patient engagement, enabling clinical researchers to conduct more effective and efficient trials. The platform also provides clinicians with comprehensive insights from complex data, facilitating better medical decision-making and improved patient outcomes.

Features

AI-based patient identification that processes terabytes of health data to identify suitable candidates

Behavioral analysis for recruitment, including online consent forms, appointment bookings, and tele-consultations

Generative AI to automate email communications and virtual consultations

On-trial prognosis using real-time data and biomarker analysis to predict patient engagement and response to treatment

LLM-based medical search to extract actionable insights from unstructured clinical data

Cohorting and feasibility analysis for improved trial planning

Real-time notifications for simplified patient matching

DICOM analysis capabilities

Target Audience

The primary target audience includes oncology researchers, clinicians, pharmaceutical companies, and contract research organizations (CROs) involved in clinical trials.