Meet unique patients’ needs and enhance healthcare delivery with stellar predictive analytics solutions.
Diagnostics and disease prediction can be easier with big data analysis and machine learning. Use our ML-based predictive models for automatic detection of anomalies in patient clinical data. Analyze the results to adjust the intended treatment plan and navigate medicine risks like adverse reactions and medication side effects.
Prevent chronic diseases and improve patient outcomes. Analyzing patient-generated data, you can predict disorders like diabetes or heart disease. Predictive analytics tools will help you identify high-risk patients and predict their future outcomes. Make personalized predictions and treatment plans reducing the risk for hospitalization.
Tired of managing paper documents? Make a smooth transition from paper to digital with our custom OCR solutions. Optimize healthcare business processes through data capture, retrieval, and extraction. With OCR solutions it’s easy to digitize all kinds of healthcare documents including patients’ records, prescriptions, claims, reports, invoices and etc.
Allow automatic data entry and smooth health data transfer between organizations. Deploy bespoke OCR software into your hospital for laborious tasks to save time and money.
Get to know your clients better with NLP API software.
Find out who your target audience is – age, gender, interests, specifics, etc. Use the data to better market yourself, retain old customers, and attract new ones.
Analyze comments on social media about customer experiences to see how they rate your services. Score comments into people, places, and services to see if your patients are happy with your brand or there’s room for development. Use the insights to improve the overall quality of services and care.
Analyze medical documents to predict conditions. Use NLP to extract data from clinical documents for intelligent diagnostics.
Transform physical therapy with AI health solutions like pose estimation. Implement pose estimation models into your app to track, estimate and provide therapeutic feedback on patient joints and posture in real time. Bring guidance on doing the exercising and motivation to carry on. Check the progress of the patient over the course to navigate treatment protocol.
Today there is a growing demand for different types of personnel authentication tools & technologies for both online and in physical systems.
With our robust computer vision algorithms, it’s easy to collect and store facial data. Use the data to verify personnel and provide or ban access to certain areas.
Want to better market your hospital but afraid of being salesy? Impress your patients with Face Recognition Greeting Tool. Recognize and greet patients by the name as soon as they enter the hospital.
Integrating our tool into your infrastructure, you’ll deliver great customer service and boost patient retention and referrals with ease.
Detect and identify diseases with medical image analysis powered by Machine Learning. Get meaningful data insights for on-time anomaly detection and early disease intervention based on clinical imaging. As a result, streamline the workflow of the radiologists and get better patient outcomes.
Our data scientists and engineers are shaping modern medical technologies. We’re experienced in digital healthcare and MedTech solution development.
We stay on top of the industry trends. We understand the needs of our clients and aid them with AI-based solutions that solve their problems.
We prioritize our clients. Our goal is to help them reach new heights by innovating their businesses with AI.
Improved pose estimation and error detection by 64%.
The client is US-based. They specialize in human activity recognition and motion analysis. They asked InData Labs to develop custom pose estimation models for real-time human pose detection during physical therapy and fitness.
As a result, we built proprietary pose estimation and error detection algorithms to level up the client’s app. The algorithms detect human position and provide feedback on how to correct the moves.
Increased period prediction accuracy up to 15%.
The client is a media and entertainment company located in Japan. The client needed to advance the overall period prediction accuracy without impacting the app performance.
The benefits from cooperation with InData Labs include:
Elimination of data bottlenecks.
The client is a US company developing an iOS and Android mobile app related to baby care. The client was looking for a reliable vendor with expertise in data analysis and BI. The client needed to implement data analysis and structure the existing data assets.
During the project we were analyzing and collecting the data. We built dashboards for users and came up with a solution how to streamline reports. As a result, the overall user experience has increased, as well as the content relevance.