AI in Healthcare: Unlocking the Future of SaaS
Some of you might have caught the viral video about Microsoft’s CEO Satya Nadella voicing, “SaaS is dead,”. For healthcare, however, it’s not about the end of SaaS but its evolution. Cloud-delivered software is being transformed by AI, offering exciting opportunities to improve clinical care, research, and hospital operations.
Why Healthcare Hesitates with SaaS
Healthcare systems, especially public institutions and the vast majority in APAC and EU, have traditionally been cautious about adopting SaaS. Concerns around data privacy, security, and compliance with regulations like GDPR and HIPAA have slowed adoption. However, healthcare-compliant cloud infrastructure has matured over the last several years. These systems can now meet the industry’s strict standards while enabling secure, scalable innovation.
AI and SaaS: A Smarter Partnership
AI doesn’t replace SaaS; it supercharges it. Instead of static dashboards or rigid workflows, AI makes systems more dynamic and useful. For example in Oncoshot’s use cases of Clinical trials and RWE:
✅Clinicians can ask AI to find eligible patients for trials or analyze real-world survival data in a natural language query as opposed to getting their IT team to get those insight.
✅Administrators can uncover operational inefficiencies and differences prescribing behavior and outcomes.
While challenges like cost and compute resources remain depending on the applications, AI-driven SaaS promises smarter, adaptive systems that respond to real-world needs.
The Logic Layer: Making AI Reliable
The foundation of this transformation is the logic layer. This ensures data isn’t just stored but organized and enriched for meaningful use. It plays a critical role by:
👍Validating AI results to avoid errors or hallucinations.
👍Structuring raw data into actionable insights.
At Oncoshot, tools like OS-EXTA, OS-ENRA, and OS-MAIA help build this layer within hospital-controlled cloud environments. These tools structure clinical and operational data, creating a reliable foundation for AI to thrive responsibly.
The Future of AI in Healthcare
With the convergence of AI and healthcare-compliant infrastructure, we are entering an era where technology evolves from being a tool to becoming a trusted partner. From improving patient care to driving research, the potential is transformative.
Exciting times for healthcare systems and the life sciences industry!
Oncoshot Oncoshot India Ruslan Enikeev Chee Yong Chua Dr. Nilesh Atre Andrew Wilson David Chia Thanuja Naidu Shabbir Syed Abdul
