Rising costs, changing patient demands, and complexities of the regulatory landscape are a few of the many challenges faced by pharmaceutical and healthcare companies that can be managed with an effective and comprehensive digital strategy with an end-to-end execution roadmap.
We are pharma digital practitioners with deep capabilities in data sciences and digital technologies including Cloud, AI/ML, blockchain and so on, with a keen focus on product engineering excellence leveraging Agile and DevSecOps.
Based on our Digital Business Methodology and our thorough assessment of the pharma digital ecosystem, we are delivering several outcomes to leading pharma companies.
| Adaptive Clinical Trial Designs | Identify effective drugs faster with data analytics and machine learning algorithms to analyze interim trial results and modify. |
| Real-World Evidence (RWE) Integration | Supplement trial data with real-world insights for drug effectiveness and safety. |
| Biomarker Identification and Validation | Utilize bioinformatics and computational biology to validate biomarkers predicting treatment response for targeted therapies. |
| Collaborative Clinical Research Networks | Leverage cloud-based platforms and collaborative software to establish networks for better patient recruitment and data sharing. |
Enabled field sales efficiency for a medical device leader cutting down sales rep. workload by over 30% wait times for demo kit availability by 70%.
Enabled a global pharma major to reap the benefits of Release by Exception in Manufacturing while rationalizing processes and KPIs across products and locations
Conducted an end-to-end assessment to implement accelerated, friction-free, data aware, GxP compliant processes across the clinical development value chain.
Improved sales and increased conversion rates in provider/doctor out-reach sales activity for a large pharma organization by leveraging data and AI.
Developed a product to help a medical device leader plug into the provider-device-patient ecosystem and enabling providers to maintain CCJR compliance.
Implemented a unified global data platform for a pharma leader offering FAIRified access for ease of use and business adoption by leveraging MDM effectively.
Created a finance Single Source of Truth and intelligent dashboards for FP&A at a global pharma major who had acquired a large imaging and nuclear therapy company and needed unified insights.
Developed and end-to-end continuum of care platform for a start-up within the healthcare ecosystem by enabling seamless coordination across patients, providers and payers.
The client, a renowned global banking institution operating in over 100 countries, faced challenges with a 25-year-old monolithic application serving as the online banking and
Essential Technologies for Modernizing Your Business Approach Digital Business Methodology represents a strategic shift, harnessing digital technologies to revamp or adapt existing business processes, corporate
Background In today’s rapidly evolving data-driven world, ensuring data quality has become a paramount concern for organizations across various industries. Data quality refers to the
Today’s businesses are under pressure to transform their operations and customer experiences to stay competitive. This obsession to keep up with their disruptors and competitors
| Adaptive Clinical Trial Designs: Modify trials based on interim results for faster identification of effective drugs. | Identify effective drugs faster with data analytics and machine learning algorithms to analyze interim trial results and modify. |
| Real-World Evidence (RWE) Integration: Supplement trial data with real-world insights for drug effectiveness and safety. | Supplement trial data with real-world insights for drug effectiveness and safety. |
| Biomarker Identification and Validation: Validate biomarkers predicting treatment response for targeted therapies. | Utilize bioinformatics and computational biology to validate biomarkers predicting treatment response for targeted therapies. |
| Collaborative Clinical Research Networks: Establish networks for better patient recruitment and data sharing. | Leverage cloud-based platforms and collaborative software to establish networks for better patient recruitment and data sharing. |
| Master Protocols and Basket Trials: Evaluate multiple drugs in one trial for efficient drug development. | Implement electronic data capture systems and digital platforms to efficiently manage and evaluate multiple drugs or drug combinations within a single trial, enabling more streamlined drug development |
| Remote and Decentralized Trials: Embrace virtual trials for broader patient participation. | Embrace telemedicine, virtual monitoring, and digital health tools to conduct remote and decentralized trials, allowing patients to participate from home and reducing the need for frequent in-person visits |
| Patient-Centric Trials: Design trials with patient needs in mind for better recruitment and retention. | Develop patient-centric mobile apps and web portals that provide trial information, virtual support groups, and patient-reported outcome tracking to enhance patient engagement, recruitment, and retention |
| Regulatory Engagement and Expedited Review Pathways: Engage regulators early for faster approvals. | Utilize digital communication tools to engage regulatory agencies early in the drug development process, enabling faster feedback and exploration of expedited review pathways for accelerated approvals |
| Companion Diagnostics Development: Develop diagnostics for targeted recruitment and personalized treatment. | Implement bioinformatics and genomics technologies to develop companion diagnostics that can identify patient subpopulations likely to benefit from the drug, aiding in targeted recruitment and personalized treatment |
| Data Standardization and Interoperability: Ensure seamless data exchange among research sites. | Utilize interoperable electronic health record systems and health data standards to ensure seamless data exchange among different research sites, promoting efficient data aggregation and analysis |
| Use of AI and Predictive Analytics: Apply AI for drug candidate identification and data analysis. | Leverage AI algorithms and predictive analytics to analyze large datasets, identify potential drug candidates, optimize trial designs, and predict treatment outcomes, accelerating the drug development process |
| R&D Investments: Improve the drug or expand indications | Utilize computational modelling and simulation techniques to accelerate drug discovery and optimize drug development processes |
