Our Data Solutions in Healthcare
We have extensive expertise in delivering data-driven solutions for the pharmaceutical and healthcare sectors. Our team of experienced professionals leverage advanced AI and machine learning technologies to create customized solutions that address a wide range of challenges, from drug discovery and production to compliance and hospital management. By working closely with our clients, we ensure that our innovative data solutions effectively meet their needs, driving efficiency, enhancing patient care, supporting any downstream requirements, integrating with all upstream systems and ultimately improving outcomes across the industry.
Our team is proficient in Health Level Seven (HL7) integration, enabling seamless data exchange between various healthcare systems and applications, ensuring better interoperability and improving patient care.
Our Healthcare AI use cases
Discover the advantages of our tailored AI solutions for the healthcare sector, with expertise in developing advanced strategies that augment drug discovery and delivery, enhance patient care, drug adherence, streamline operations, and ensure data security
We've enabled clients to accurately predict molecular targets for drug development by AI models, enhancing efficiency and reducing costs.
For our clients, we've employed machine learning algorithms to sift through large datasets and uncover novel biomarkers, aiding early diagnosis and personalized treatment.
We've accelerated potential drug candidate identification for clients using AI, significantly reducing time and resources in drug discovery process.
By predicting biological activity and improving physicochemical properties, our ML models have helped clients optimize drug candidates and reduce side effects.
We've analyzed multi-target interactions for clients using AI to predict drug side effects, minimizing risks and increasing efficacy.
We've assisted clients in predicting feasible synthetic routes for drug candidates using AI models, improving efficiency and reducing waste.
We've used AI to predict absorption, distribution, metabolism, excretion, and toxicity, guiding compound optimization and streamlining drug development.
We've employed generative AI to design novel, drug-like molecules with desired properties for clients, accelerating their discovery of new therapeutic agents.
We've assisted clients in optimizing drug production processes using AI-driven insights, increasing efficiency and reducing production costs.
Our AI models have helped clients ensure consistent drug quality by accurately detecting anomalies and deviations in real-time.
We've enabled clients to anticipate equipment failures through AI-powered predictive maintenance, minimizing downtime and boosting productivity.
We've leveraged AI models to accurately forecast drug demand for clients, enabling better production planning and resource allocation.
For our clients, we've employed AI models to predict batch yields, allowing them to optimize manufacturing conditions and maximize output.
We've helped clients streamline their supply chain operations using AI-driven forecasting, reducing stockouts and improving inventory management.
We've used AI-driven analytics to help clients identify waste sources and implement strategies to minimize waste in their drug production processes.
We've supported clients in reducing their energy consumption during drug production by identifying inefficiencies and implementing AI-based optimizations.
We've helped clients rapidly enroll eligible patients for trials using AI algorithms that identify suitable candidates based on specific criteria.
We've assisted clients in refining their trial protocols using AI-driven insights, reducing redundancies and improving trial efficiency.
We've enabled clients to generate robust real-world evidence from lit review using NLP, providing valuable insights to support trial outcomes.
Our AI models have helped clients track patient compliance during trials, ensuring accurate data collection and improving trial success rates.
We've used AI-driven analytics to help clients rapidly analyze trial data, uncovering key insights and expediting decision-making.
We've assisted clients in proactively monitoring drug safety during trials using AI models, minimizing adverse events and improving trial outcomes.
We've enabled clients to stratify patients using AI models, tailoring trial designs to better suit individual patient needs and improve trial outcomes.
We've helped clients automate drug replenishment using AI algorithms, ensuring optimal stock levels and reducing stockouts in pharmacies and hospitals.
We've used AI-driven techniques to help clients detect counterfeit drugs in their distribution channels, protecting consumers and brand reputation.
Using computer vision to verify correct number and name of medicine are being given to patients as per prescription and check breakage, debris, damaged packaging, etc.
We've helped clients implement AI-powered batch tracking systems, ensuring product traceability, enhancing recall management and supply chain transparency.
We've helped clients implement AI models to analyze medical images, improving diagnostic accuracy, and supporting clinicians in decision-making.
We've assisted clients in developing AI-driven triage systems, enabling efficient patient prioritization and enhancing overall clinical workflow.
We've supported clients in optimizing hospital capacity and resource allocation using AI-driven forecasting, enhancing patient care and reducing wait times.
We've helped clients implement AI models to increase chances of conversion at every stage of interaction using explainable AI.
We've helped clients streamline clinical documentation with AI models, reducing administrative burden and enhancing the accuracy of patient records.
We have used AI to optimise for patient visits and no shows, and have significantly decreased no shows through explainable AI.
We've helped clients implement AI models to predict the risk of patient readmission, enabling targeted interventions and improving overall patient care.
We've assisted clients in tracking regulatory changes using AI models, ensuring timely compliance and reducing the risk of penalties.
We've helped clients implement AI models to detect and prevent healthcare fraud, protecting revenue and ensuring the integrity of their operations.
We've supported clients in maintaining patient data privacy using AI algorithms, ensuring compliance with regulations and enhancing data security.
Our specialized medical adherence models reduce non-adherence risk thereby improving patient outcome and safety.
Our abandonment models reduce abandonment risk thereby ensuring patient safety and thus helps manufacturers, insurance and other players in value chain.
We've enabled clients to monitor and maintain pharma product quality using AI models, ensuring compliance with industry standards and regulations.
We've helped clients streamline adverse event reporting using AI models, enhancing accuracy and ensuring timely submissions to regulatory authorities.
We've assisted clients in managing regulatory documents with AI models, automating classification, retrieval, and updating processes for enhanced compliance.
Our Impact in Healthcare
We take pride in delivering impactful AI solutions that drive tangible results for our healthcare clients. From AI driven adherence monitoring to vision aided pill detection for higher efficiency, we empower healthcare providers transform their operations and thrive in a competitive industry