Healthcare and diagnostic services
Research and Development (R&D)
- Implement several statistical methods across medical device life cycle management to optimise, monitor and design devices.
- Medical instrument reliability testing to determine quality and safety through different statistical techniques like intra class correlation, comparing means, correlation coefficient etc.
- Identify disease trends and patterns occurrence using descriptive epidemiology. This data can help to identify different attributes like geography, age distribution and environmental or lifestyle factors that are associated with the disease.
- One of the primary applications of predictive modelling in healthcare is disease diagnosis. Secondly, personalised treatment planning and outcome prediction using these models.
.png)
Clinical Operations
- Rationalise your clinical workflow process, reduce blocks and improve overall efficiency using data analytics techniques.
- Healthcare organisations can optimise medical staff schedules, instrument utilisation and inventory management using data analytics tools which leads to cost reduction and increased productivity.
- Statistical process control is a versatile tool which can help you monitor clinical processes, improve patients’ health and ensure high quality.
- Improve patient care, clinical outcome, medical errors and wait times through six sigma implementations.
- In the world of medical data complexities and utilize this data to predict future issues, trends and costs as better prepared as possible.
.png)
Marketing and cost optimization
- Collect patient feedback by survey & questionnaire and analyse patient response with descriptive and inferential statistics to improve patient care and overall satisfaction.
- Data analysis helps identify health trends which assists to find right target patient populations for future marketing campaigns.
- Based on a deep understanding of public health data through statistics, design health education campaigns, identify larger community health requirements and model outreach programs.
- Use predictive models to analyse historical medical cost data to forecast future medical expenses with good accuracy.
- Additionally, visual real time sales and marketing data through interactive dashboards with business analytics tools like Tableau and Power BI.
Tell Us About Your Project
Our team of experienced professionals at Graphtal is ready to transform your project from idea to reality, ensuring alignment with your organisation goals through advanced data analytics and predictive modelling.
Let's simplify your work