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Artificial Intelligence and Analytics

Impact of ARTIFICIAL INTELLIGENCE in the sector from using clinical trials to support the development of precision medicine to creating a vaccine supply chain. So it’s no surprise that healthcare leaders are putting ARTIFICIAL INTELLIGENCE at the top of their digital priority list. Ai’s ability and analytics to automate processes, surface vision in product development and operation, and enhance decision-making will be vital as we move into less face-to-face communication and more virtual channels that produce huge amounts of valuable data.

Internet of Medical Things (IoMT)

While the hype around In MT was intense, progress is best described as steady Digital Technologies 2021. However, the momentum of COVID-19 will accelerate the selection of this technology. From clinical tests to telemedicine to electronic home help for the old plus disabled, innovative medicines, wearable devices, sensors, and devices will begin to have a profound impact on the way services are delivered. For example, Forbes points out that before COVID-19, estimates of virtual health care visits in 2020 were 36 million, but the real figure was much closer to the billion. Life sciences experts expect this to increase in 2021.

Data integration platforms

This year, growth in artificial intelligence and the Internet of Things will increase standardized data integration. The volume of data created and collected for each individual is growing dramatically, and life sciences and fitness care organizations face the test of understanding more data from more sources. This data is produced in many forms and standards. Lack of data integration acts as a barrier to innovation and adaptation to new operating environments Digital Technologies 2021. A recent Accenture report found that less than half of today’s healthcare organizations use an integration platform. This year, data integration platforms are elevated to the CIO agenda. They drive innovation and operational excellence across everything from development to processes to supply chain to lifelong patient care.

Cloud Content Management

If there is a specialized area that COVID-19 has blatantly thrown, it is current content strategies. Life sciences have found themselves unwilling to meet content needs in a growing digital world. Reuters found that more than 40% of life sciences companies felt their content strategy was an obstacle to virtual posts. As a result, nearly 80% began redefining their content strategy to deal with a new cloud-based on company environment. It can be demanding to move all your operations to the cloud with all kinds of structured content and data in your organization. Companies will adopt cloud content management solutions that create effective content workflows that seamlessly integrate with other systems and business functions, both within and outside the organization. Cloud content management will increase its role in facilitating and accelerating engagement, presentation, organization, and governance.

Information Security

Cybersecurity has long been close to the forefront of any IT agenda, and this will be particularly true for life sciences in 2021. The race for the COVID-19 vaccine saw biotechnology companies come under increasing cyberattacks. It is a significant concern, especially as the life sciences ecosystem grows and cooperation between companies increases. Information security professionals have long recognized that attacks will occur and that violations will occur, so there is urgent necessity to build an effective strategy for electronic flexibility. This year, there will be a growing focus on identity-centric information security. The increased collaboration and sharing of information we’ve seen will continue in 2020, as life sciences institutions will need to connect people, systems securely, and objects to digital identities to improve collaboration and prevent data violations.


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