The healthcare industry, globally, is under competitive and legislative pressure to reduce the cost of care, efficiently manage resources, and improve patient care. Our team of analysts & Data scientists employs data, and advanced analytics tools like Deep Learning - Convolutional Neural Networks (CNN) & Natural Language Processing (NLP) to improve patient care, hospital administration, and supply chain efficiencies. These solutions enable healthcare providers to minimize cost, improve cash flows, and optimize ROIs.

Healthcare Apps

  • Lab Report Parsing: Uncover data from unstructured pdf for data analytics.
  • ICD-10 Coding: Locate diseases with associated ICD codes in medical texts.
  • Lung Auscultation Aid: Identify breath sounds heard through a stethoscope.
  • Mediterm Extraction: Make sense of the medical text by identifying signs & symptoms, anatomical sights, diseases, procedures, and medicines.
  • Title Generation: Auto-generate an attractive title for your research paper/article.
  • Discharge Summary: Reducing drudgery to free the doctor to care for the patients.
  • Machine learning on encrypted data:Performing predictions on encrypted data using a model previously trained on actual data.
  • PubMed Search : Search engine for medical publications and articles - allows you to find literature on medical topics. The search is augmented by the topic-based clusters, summarization of an article and list of similar articles. The benefits of this search engine - ability to refine search to fetch the relevant content with optimal time and efforts
  • Blood Report Extraction : The lab report parsing extracts the unstructured data from the pathology lab reports and translates to the structured data which is useful for downstream applications.The solution is useful for creating and compiling the patient's health records and uses them to provide effective patient care and efficient patient engagement.

Solutions in Healthcare Analytics

Diagnostic Image Analytics
  • We use deep learning to do diagnostic image analytics and aid radiology, sonology as well as histopathology to make more accurate diagnoses.
  • Some of the already developed solutions include diabetic retinopathy, MRI brain scan and ultrasound nerve segmentation.
Hospital Revenue and Bed Space Management
  • Predicting future cash flows
  • Work Flow Optimization
  • Efficient use of hospital resources
  • Mortality Prediction:We use patient similarity metric through techniques like KNN, Random Forest, Nnet and digital data for personalized mortality prediction like ICU mortality prediction, MDR infection mortality prediction
  • New predictive models can be built using local data.
Epidemic Prediction
  • Dengue Epidemic – to predict number of dengue cases each week in each location based on environment variables.
  • This would help the public health workers and concerned authorities to take steps to reduce impact of these epidemics and also help prepare and build awareness at the right time before it becomes an epidemic.
Data Visualization

Our data visualization solutions enable you to derive actionable insights from your complex and vast healthcare data.

Presentations/Case Studies