Life Sciences Technology
What is Life sciences technology?
Life sciences technology solutions aim to streamline research processes by leveraging advanced technologies like robotics, AI, data analysis, and machine learning. These solutions focus on improving research accuracy and speed, offering integrated platforms for laboratory work and data analysis. By facilitating data sharing and communication among researchers, these solutions foster innovation in life science research. With a mission to enhance patient outcomes, optimize costs, and navigate regulatory requirements swiftly, life sciences companies are embracing digital transformation. Incorporating cutting-edge technology not only accelerates time-to-market but also fosters agility and intelligence within the enterprise, promoting innovation and high performance in the field of life sciences research.
What are the business benefits of Life Sciences Technology
Commercialization Enhancements
Digital technology streamlines commercial launches, cross-channel operations, and omnichannel marketing strategies for new products. Automation provides essential performance metrics for assessing marketing and commercial initiatives.
Lab Informatics Innovation
AI/ML, and IoT technologies facilitate data collection, analysis, and sharing within laboratories, optimizing operational workflows, supporting integration, and enabling seamless information exchange with research institutes.
Enhanced Patient Engagement
Digital tools like mobile apps and chatbots enhance patient engagement while IoT powers remote patient monitoring, aiding in medication adherence and comprehensive health reporting.
Real-World Data Utilization
Advanced analytics and AI improve data interoperability and scalability, deriving insights from diverse sources such as medical reports, electronic health records, and population health, facilitating disease monitoring, clinical collaboration, and statistical modelling.
Revolutionizing Clinical Trials
Advanced analytics revolutionize the clinical value chain by providing real-time data, team collaboration, virtual trials, and risk management. AI models offer real-time patient data, facilitating drug progression, effect monitoring, and marketability analysis.
Persistent’s approach:
Life Sciences Technology
Persistent’s Life Sciences division helps analytical instrument, medical devices, and pharmaceutical companies to better utilize technology to bring new products and solutions to market. We build the software that delivers the connected digital lab of the future and enable pharmaceutical companies to execute decentralized trials efficiently.
- Instruments & Diagnostics: Digital transformation for instrument and medical devices to accelerate product development and commercialization.
- Pharma & CRO: Integrated patient relationship and advisory programs for Pharma companies that enable an omnichannel experience for patients, care providers and agents on a single digital platform thereby supporting all phases of patient interaction and care.
- Medical Devices: Improving patient care and services in the areas of non-invasive surgeries, wearables, implants, and home diagnostics. Accelerate the delivery of next-gen medical devices.
More on Life Sciences Technology
These solutions contribute by enabling improved diagnosis, monitoring, and treatment of health conditions, fostering the development of personalized and effective treatments, and enhancing operational efficiency, leading to better patient outcomes.
These solutions can reduce overall operational costs, particularly in drug development and data management. They also streamline commercialization efforts, improve laboratory efficiency, and enhance patient engagement, thereby positively impacting the business aspects of these industries.
Artificial intelligence and advanced analytics play a pivotal role in enhancing data interoperability, scalability, and the overall efficiency of processes. They aid in identifying patient cohorts, clinical drug progression, and deriving insights from real-world data, ultimately supporting disease monitoring and clinical collaboration.
These solutions streamline clinical trials through real-time data collection, virtual trial capabilities, risk management, and AI-driven insights, offering a more efficient and effective approach to drug development and marketability assessments. areas
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