Healthcare Analytics
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 and researchers today use big data analytics and implement data-driven strategies to tap into more sources of information and leverage knowledge that is shared by scientists around the world.
Sigmoid enables businesses to gain faster insights from historical and real-time data sources like lab/diagnostic, prescription, claims, hospital log files, IoT sensors, social media and patient data. We provide a range of innovative data engineering and data science services to help pharma companies develop effective technology adoption and data implementation strategies. Our customized data solutions and predictive analytics have solved high-value use cases across the pharma value chain, from setting up and scaling data infrastructures to accelerating drug discovery, and providing better insights into patient behaviour.
Our Data Engineering enables 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 Research | Drug Discovery and Formulation | Trial Planning and Execution |
| Safety Surveillance | Portfolio Management | Competitive Intelligence |
| Drug Development and Manufacturing | Production Planning | Quality Control and Monitoring | Reduce Cost and Increase Drug Utilization |
| Compliance to Regulatory Warehousing Storage | Streamline Compliance and Government Decisions | Demand Forecasting and Stockouts | Network Optimization |
| Targeted Marketing | Promotion Response Modeling | Field Force Effectiveness |
| Territory Alignments and Call Planning | Forecasting Sales Results | Price Formulation |
| Patient Segmentation | Personalized Medication for Patients | Capturing Electronic Medical Records |
| Patient Query System | Prediction 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
Potential Patient 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 Efficiency
Enable effective capture and fluid exchange of electronic 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
