Transforming Healthcare: The Future of AI by SAS

A New Era in Healthcare with SAS's AI Predictions

Pharma and health care industries take deliberate steps, not leaps, toward AI innovation and digital transformation

As we approach 2025, the trajectory is clear: Health care and life sciences are steadily laying the groundwork for sustained transformation and innovation. There will be no sudden disruption, no major pivot, yet focused efforts to build agile, resilient organizations. SAS predicts the coming year will be defined by the continued integration of health systems, the modernization of technology, and the increasingly active role of patients and consumers in directing their care in industries shaped by regulation and public trust.

Key Focus Areas for 2025

The health care landscape is evolving, and several trends are poised to influence its trajectory.

Deliberate Steps in AI Implementation

Health care organizations and pharmaceutical companies will explore new ways to implement AI-driven insights at every level, from patient care personalization to faster drug development cycles. The focus will shift towards expanded use of AI in targeted areas of the ecosystem. As the value of AI becomes evident across various settings, we anticipate increased governance and directives for its application from leaders within organizations.

Generative AI's Role in Clinical Trials

Generative AI will play a vital role in revolutionizing clinical trials. Enhanced digitization and standardization techniques will allow AI to aid in high-quality information extraction, facilitating the development of innovative therapies. This will include the consideration of underserved populations, enabling faster submissions and new approaches in clinical trial models.

The Convergence of Pharma and Healthcare

Pharma and health care are working more collaboratively than ever, using data to drive innovation in patient care and treatment development. By 2025, this convergence will be foundational to how these industries operate, although challenges remain, particularly around data interoperability. Ensuring data flows freely and securely across systems will be essential to facilitating this integration, ultimately leading to more cohesive health experiences for patients.

Technology's Central Role

In light of significant advancements, many sectors of health care technology are still struggling with fragmentation and outdated infrastructure. Therefore, a digital overhaul is necessary. Health care organizations must reimagine their infrastructure, embracing modernization solutions while directing substantial financial resources to improve data integrity, security, and usability.

Payers and Public Health Collaboration

In a post-COVID landscape, payers and public health sectors are expected to maintain open lines of communication that were less prevalent before. Enhanced data sharing and advances in technology, particularly AI-driven analytics and real-time data exchanges, will streamline collaboration and decision-making in public health. Over time, we may witness more shared accountability through standardized metrics and joint investments in healthier populations.

Empowering Consumers Through Smart Technologies

The proposed European Health Data Space regulation will drive hospitals towards secure data exchanges across borders, heralding a health-tech revolution. This will foster interesting health consumer applications that leverage both wearable data and historical health information, enabling consumers to take a smarter approach to their healthcare data usage.

Data Management as a Priority

Robust data management will continue to be a pressing need driven by regulatory requirements and the complexity of data in the health care sector. Organizations will seek to enhance their data management practices by adopting cloud-based data and AI platforms that seamlessly connect various data types, thus boosting productivity through automation in data cleansing and quality assurance.

Expanding Public Health Innovations

Innovation in public health will be driven by a desire to learn from successful models across different geographical contexts. Government health agencies will examine advancements in technology that can aid in predictive modeling and disease anticipation, helping stabilize public health.

Transforming Clinical Work Through Automation

There will be an increased focus on reimagining clinical processes and automating repetitive tasks through AI. This shift aims to improve the clinical work environment, freeing clinicians to devote more effort to patient care and maximizing the use of their professional expertise.

Conclusion: The Future of SAS in Healthcare

SAS remains committed to delivering innovative analytics and AI solutions that empower healthcare organizations. The changes and advancements expected in 2025 highlight the importance of technology and data in shaping the future of health care.

Frequently Asked Questions

What is SAS's role in healthcare innovations?

SAS is a global leader in data and AI, providing solutions that enable healthcare organizations to transform data into trust-based decisions.

How will AI affect clinical trials in the near future?

AI is expected to enhance clinical trials by facilitating high-quality information extraction, enabling faster submissions, and ensuring more inclusive trial protocols.

What does the convergence of pharma and healthcare entail?

This convergence will foster collaboration through shared data insights, leading to innovative patient care and treatment development approaches.

Why is data management crucial in healthcare?

Robust data management helps ensure data quality and compliance with regulatory requirements while boosting productivity through automated processing.

How do consumers influence health tech advancements?

Consumers are increasingly demanding smarter health tech solutions, particularly in how their personal health data is used and shared across the health care ecosystem.

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