Healthcare Data Analytics

The growing adoption of cost control policies and stringent compliance regulations have made it crucial for pharma companies to effectively collect, manage and analyze data across diverse sources. Leading pharma companies are adopting data science in healthcare solutions to derive insights from a plethora of information available.

Sigmoid enables medical data analytics to gain faster insights from historical and real-time data sources like a lab/diagnostic, prescription, claims, hospital log files, IoT sensors, social media, and patient data. Our data science in healthcare solutions helps pharma companies with customized data solutions across the pharma value chain, from setting up data infrastructures to clinical trial design and providing better insights into patient behavior.

Our Medical Analytics Solutions help Pharma companies to:

Identify and integrate clinical data sources
Clean and prepare data for ML modeling
Analyze the real-world patient data
Accelerate, scale and derive faster insights

Providing End-to-End Data Solutions at each stage of the Pharma Value Chain

Clinical and Market ResearchDrug Discovery and FormulationTrial Planning and Execution
Safety SurveillancePortfolio ManagementCompetitive Intelligence
Drug Development and ManufacturingProduction PlanningQuality Control and MonitoringReduce Cost and Increase Drug Utilization
Compliance to Regulatory Warehousing StorageStreamline Compliance and Government DecisionsDemand Forecasting and StockoutsNetwork Optimization
Targeted MarketingPromotion Response ModelingField Force Effectiveness
Territory Alignments and Call PlanningForecasting Sales ResultsPrice Formulation
Patient SegmentationPersonalized Medication for PatientsCapturing Electronic Medical Records
Patient Query SystemPrediction of Potential Patients

Our Expertise

Drug Discovery and Development

Accelerate the process of drug discovery and development by running predictive algorithms on high volume datasets

Patient Engagement Solutions and Prediction

Identify likely target patients by building ML models and creating multiple predictive profiles for wider coverage of patients

Operational Effectiveness

Reduce operational margins by increasing efficiency of the entire manufacturing process from procurement to production

High Volume Data Aggregation

Collect, integrate and analyze high volume data from diverse sources like labs, prescriptions, IoT sensors and medical records

Promotion Response Modeling

Optimize promotional efforts by powering sales force sizing, territory alignment, call planning and incentive compensation

Clinical Trial Design

Enable effective capture and fluid exchange of clinical data to accelerate trials and reduce likelihood of manual data errors

Granular Metric Analysis

Perform granular analysis of metrics like average ingredient cost per prescription and drug utilization to increase revenue

Streamline Compliance

Quickly uncover insights to streamline governance decisions, highlight current gaps and reduce risk of compliance failures

Targeted Patient Medication

Sift through unstructured genomic data (DNA) to spot patterns and create effective, personalized medication for patients

Success Stories

Promotion Response Modeling

Identified the set of physicians to target and the optimal number of calls to be given to them to achieve the brand forecast

Supply Chain Analytics

Delivered a demand forecasting solution to shorten planning cycle, reduce stock-outs, optimize inventory and improve sales