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Harnessing Biotechnology Breakthroughs
Return to all trendsWhat is it?
Throughout history, healthcare has advanced through groundbreaking scientific discoveries, such as antibiotics, DNA structure, and vaccines. These innovations have dramatically improved health outcomes and set the stage for modern advancements in biotech and deep science.
As we look ahead, biotech innovations like monoclonal antibodies and gene therapy are poised to bring the next wave of transformation. These advancements are not solely digital but require strong digital infrastructures to be effectively implemented.
While the digital revolution has reshaped many aspects of healthcare—through electronic health records, telemedicine, and AI—the future of healthcare innovation will be driven by a balance between digital advancements and deep scientific research. Digital technologies will continue to support and scale these biotech breakthroughs, creating a synergy that enhances the potential of both domains.
For biotech innovations to reach their full potential, robust digital infrastructures are essential. These include advanced data management systems, computational tools, and secure networks that support the integration of new scientific discoveries into healthcare systems. By investing in this digital backbone, we can unlock the full potential of biotech, leading to more effective, equitable, and human-centered healthcare.
Opportunities for impact
Digital backbone technologies that can harness biotechnology and deep science breakthroughs hold very real potential to drive step change across our health systems, and most specifically at the patient treatment and care levels but with profound implications for system infrastructure.
Here are some illustrative applications, possibilities and implications across some of the key functions of the health system, using the system impact framework discussed in the report on page 16.
Actions 2024-2025
Readiness to harness constant innovation in biotechnology and deep science breakthrough needs to be hardwired into the ’systemic skeleton’ – developed and maintained over time. The digital backbone, as we have discussed is central to this. But at present, that spine is – at points – weak, and – at others – missing.
As such, we recommend that actors from across the health and technology ecosystems focus in 2024-25 on building the technology infrastructure of dynamism, carefully calibrating to provider and health system strategic goals and key areas. This work we recommend be undertaken collaboratively, with a focus on prototyping and learning.
As such, we recommend that actors from across the health and technology ecosystems focus in 2024-25 on building the technology infrastructure of dynamism, carefully calibrating to provider and health system strategic goals and key areas. This work we recommend be undertaken collaboratively, with a focus on prototyping and learning.
Healthcare providers
Foundations
- Strategically build partnerships across the health system to keep informed about key areas of innovation and the steps required to implement them.
- Ensure different data systems can seamlessly share information.
- Build redundant capacity into data management systems to handle influxes of biological and patient data.
- Protect sensitive biotech data and information with robust security measures.
Activate
- Ensure all stakeholders have access to ongoing education and training, particularly on the digital technologies that can have the greatest impact on access to- and deployment of- the latest biotech advances.
- Update training programs to include new and imminent biotechnologies.
- Integrate AI algorithms to analyse complex datasets and extract actionable insights.
- Run future-proof preparedness training with senior staff, simulating new developments and assessing the effect they might have on existing systems.
- Work with technology developers to provide clinical insights and advocate for necessary resources and support.
Transform
- Run cybersecurity simulations on existing systems to determine any risks associated with collecting new types of data.
- Use advanced computing infrastructure to process large-scale biological data and run complex simulations.
- Expand existing research relationships with a view to being prepared for new discoveries.
- Invest in other strategic partnerships and formal collaborations to amplify distribution and scale of biotech solutions.
Technologists
Foundations
- Strategically build partnerships across the health system to keep informed about key areas of innovation and the steps required to implement them.
- Ensure different data systems can seamlessly share information.
- Build redundant capacity into data management systems to handle influxes of biological and patient data.
- Protect sensitive biotech data and information with robust security measures.
Activate
- Ensure all stakeholders have access to ongoing education and training, particularly on the digital technologies that can have the greatest impact on access to- and deployment of- the latest biotech advances.
- Update training programs to include new and imminent biotechnologies.
- Integrate AI algorithms to analyse complex datasets and extract actionable insights.
- Run future-proof preparedness training with senior staff, simulating new developments and assessing the effect they might have on existing systems.
- Work with technology developers to provide clinical insights and advocate for necessary resources and support.
Transform
- Run cybersecurity simulations on existing systems to determine any risks associated with collecting new types of data.
- Use advanced computing infrastructure to process large-scale biological data and run complex simulations.
- Expand existing research relationships with a view to being prepared for new discoveries.
- Invest in other strategic partnerships and formal collaborations to amplify distribution and scale of biotech solutions.
Government & Policy Makers
Foundations
- Develop and enforce standards for the use of digital technologies in biotech and healthcare to ensure safety, efficacy, and ethical use.
- Strengthen regulations around data privacy and security with a view to novel contexts.
- Provide incentives for collaboration between healthcare providers, tech companies, and research institutions.
- Strategically build partnerships across the health system to keep informed about key areas of innovation and the steps required to implement them.
Transform
- Expand existing research relationships with a view to being prepared for new discoveries.
- Invest in other strategic partnerships and formal collaborations to amplify distribution and scale of biotech solutions.
Researchers & Universities
Foundations
- Strategically build partnerships across the health system to keep informed about key areas of innovation and the steps required to implement them.
Activate
- Ensure all stakeholders have access to ongoing education and training, particularly on the digital technologies that can have the greatest impact on access to- and deployment of- the latest biotech advances.
- Update training programs to include new and imminent biotechnologies.
- Integrate AI algorithms to analyse complex datasets and extract actionable insights.
- Run future-proof preparedness training with senior staff, simulating new developments and assessing the effect they might have on existing systems.
- Work with technology developers to provide clinical insights and advocate for necessary resources and support.
Transform
- Run cybersecurity simulations on existing systems to determine any risks associated with collecting new types of data.
- Use advanced computing infrastructure to process large-scale biological data and run complex simulations.
- Expand existing research relationships with a view to being prepared for new discoveries.
- Invest in other strategic partnerships and formal collaborations to amplify distribution and scale of biotech solutions.
Augmented Intelligences
Artificial Intelligence (AI) has become the most talked-about trend in health technology, especially following the rise of consumer generative AI in 2023. However, AI is not a single entity but a collection of diverse subfields, technologies, and methods, ranging from machine learning (ML) and natural language processing to computer vision and robotics.
Simulation and Simulacra
As the boundary between the physical and digital worlds fades, new technologies are transforming how we interact with reality, particularly in healthcare. Extended Reality (XR), digital twins, and 3D printing are at the forefront of this change, allowing us to experiment, innovate, and enhance care without the constraints of the physical world.
Remote Patient Care
Remote Patient Care (RPC) leverages modern communication technologies and sensors to deliver healthcare services when the patient and provider are not in the same physical space. While the concept isn’t new, recent technological advancements have made RPC more effective, allowing patients to receive hospital-level care from the comfort of their homes.
Adaptability and Dynamism
Adaptability in health refers to the creation of flexible systems designed to anticipate and respond to future challenges. Unlike specific technologies applied to healthcare, adaptability is a system-wide capability made possible by technology, allowing healthcare systems to adjust seamlessly to changing demands and stressors.