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Health information technology

Transforming the Market Access Landscape: The Role of Digital Applications

White Paper: Prmaconsulting

Given that it can take up to 12 years and cost £400 mn to £1.15 bn¹ to bring a new drug to market, it is understandable that organizations are capitalizing on the benefits of new technologies to try to reduce uncertainty, costs, and time to market. For many leading companies, digital applications are informing direction and becoming an essential enabler in realizing their vision. So why are digital applications transforming the value and access functions? We believe that there are three key benefits for market access. Facilitating proactive planning and agility While companies may already have a market access planning process, digital applications can facilitate a proactive approach by providing a structured checklist of activities and identifying vital gaps mapped against the latest HTA requirements. In addition, tasks can be assigned, alerts raised when items have not been addressed, and progress or completed tasks tracked. This provides confidence that a market access plan can be formulated early, is always current, and can adapted whenever there is a business need to change direction. Improving real-time decision-making and accelerating cross-functional productivity Digital applications and cloud technology can provide a consistent framework for real-time decision-making across the multifunctional groups that feed into market access planning and implementation. From as early as Phase 1 development, market access issues can be captured, the risks and benefits of considerations such as parallel consultation defined, and the requirements for HTA submissions considered. Capturing data in a centralized system provides an institutional memory of decision-making and allows more rapid and efficient cross-functional working.

Enhancing Trust with AI-Driven Biometrics

White Paper: Jumio

Biometrics and AI Build the Strongest ID Verification Tech Biometrics are commonplace. They protect our phones, log us into our virtual workspaces, secure our health records and verify our identity when we sign up for new services. Face, fingerprint, iris, voice and other modalities proliferate across our physical and digital lives, facilitating access, managing identity and keeping us safe from fraud. But it is crucial to understand that not all biometric technology is created equal. The fact is, there are smart biometrics and basic ones. Functionally, allbtrue biometrics, regardless of the modality, do what the name implies: measure unique physical or behavioral traits and compare them. Some consumer-grade biometric solutions keep it simple, measuring and comparing and matching the same way every time. On the other hand, smart biometrics, which are enhanced by artificial intelligence and machine learning, adapt with every use, getting stronger, faster and more scalable. The latter type is a foundational aspect of a broader trend that FindBiometrics calls “Intelligent ID” – a key technology for the future of our increasingly digital and mobile lives. Artificial intelligence is a heavy term in our culture, and it brings with it a great deal of baggage in the form of common misconceptions. When it comes to intelligent biometric identity, these misconceptions pool around face biometrics, identity proofing and continuous authentication, which taken together are the basic components of a trust chain. Fears about user privacy, distrust stemming from racial bias reports in surveillance systems, and the expectation that identity proofing must rely on a human element in the onboarding process are all common false precepts clouding the understanding of smart biometrics in ID verification and user authentication.

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