Health Analytics is a new trend that is now helping in stabilizing and standardizing the quality of healthcare services. Traditional and advanced data science techniques are now generating data-driven solutions by solving the complex real-world health issues by employing critical thinking and analytics to derive knowledge from big data.
Next Data Science research and diagnose the conditions that may have gone unnoticed in previous eras. Company also focus on the Pharmaceutical Industries to use data science in finding efficiencies to drug development.
Case Study 1:
How to predict if a patient is suffering from aggressive triple-negative breast cancer, slower-moving cancers or non-cancerous lesions?
Next Data Science’s Data Scientists mathematically modelled the textures that appear as the tissues absorb contrast-enhancing dye. Our model reveals that changes over just milliseconds distinguished triple-negative from benign lesions. Our investigators uses machine learning and pattern recognition methods to aid in diagnoses among the three types of cancers based on texture changes and other
For the three types of cancers, the early diagnosis would enable quick and personalized treatments. Around 95% accuracy can be achieved by NDS Model.
Case Study 2:
How can we maintain Hospital quality and patient’s safety in the ICU?
The ICU is another area where predictive analytics is becoming crucial for patient safety and quality care. The most vulnerable patients are prone to sudden downturns due to infection, sepsis, and other crisis events which are often difficult for busy staff to predict.
Next Data Science is working on integrating bedside medical device data into sensitive algorithms that detect plummeting vital signs hours before humans have a clue. This is leading to good quality hospital and patient’s safety in ICU.
Case Study 3: