Galen, SNGULAR’s comprehensive generative AI solution for hospital environments

A specialized safe space for healthcare professionals to interact with conversational assistants

It is often said that behind every innovation lies a story of frustration. In the case of healthcare professionals, this frustration frequently stems from the lack of time to properly carry out their work due to immense care-related pressure.

We all experience, and healthcare professionals more than anyone, how inhuman medicine can feel when doctors are forced to look at a screen far more than at their patients. It’s absurd—we have the technology to send a mission to Mars, yet healthcare workers are still drowning in bureaucracy, endlessly searching for information, and repeating tasks that could be streamlined through innovation, investment, and proper resource allocation.

However, beyond the precarious working conditions that healthcare professionals sometimes face, there is also a more mundane limitation. While scientific advancements multiply exponentially, human capacity to process them has limits. In a field like oncology, dozens—if not hundreds—of new studies are published every day. How can a doctor keep up with this flood of information while also overcoming therapeutic inertia and planning more effective treatments for patients?

In 2025, the answer lies, unsurprisingly, in artificial intelligence—specifically, in generative AI. However, while its adoption holds great promise, it must be approached from a business-oriented perspective.

The challenge of generative AI in hospitals

Providing information to external platforms—often done independently and outside hospital IT systems—can jeopardize not only patients’ sensitive data but also the intellectual property of research and scientific advancements generated by these institutions, foundations, or multicenter working groups. Without the necessary controls, this practice could become a vector for leaking critical information.

Moreover, the uneven implementation of generative AI among healthcare professionals could significantly impact the quality of care. Those with greater access to advanced tools or a better understanding of their functionality may provide more efficient and precise services, while others without the same resources could be at a disadvantage. This imbalance in technology adoption can lead to notable disparities in treatment outcomes and healthcare equity.

Additionally, publicly available generative AI models do not always incorporate the latest innovations or technological advancements, giving a competitive edge to those with access to more sophisticated and up-to-date systems. This lack of access to advanced tools may limit healthcare professionals who rely on accessible solutions, restricting their ability to optimize processes, provide more accurate diagnoses, or improve operational efficiency within institutions.

Moving toward healthcare-specific models

On December 5, 2024, Google introduced MedLM, a family of foundation models fine-tuned specifically for the healthcare sector.

These models, based on Google Research’s Med-PaLM 2 LLM, are designed to assist healthcare professionals in tasks such as answering medical queries and drafting summaries. MedLM differs from other models like PaLM due to its specialization in the medical field.

Currently, two MedLM models are available. MedLM-medium offers enhanced processing capabilities and includes more recent data, while MedLM-large is in the preview phase. Both models are continuously updated and have dedicated endpoints, allowing for greater flexibility in their application.

One of MedLM’s main advantages is its ability to generate draft summaries and responses based on existing documentation, facilitating the creation of clinical documents. Additionally, it can serve as an educational tool, enabling healthcare professionals to ask medical questions and receive answers for learning and knowledge reinforcement.

These models also have the potential to reduce the administrative burden on healthcare professionals by streamlining tasks such as document searches and report generation.

Galen, a comprehensive approach with tangible results

Leveraging the power of Google’s medical AI models, SNGULAR’s Health division has developed Galen, a solution that allows hospitals to integrate generative AI securely and effectively. Designed to protect sensitive data and ensure equitable access to technology, Galen provides a controlled environment where healthcare professionals can leverage advanced AI tools.

Google Cloud’s secure infrastructure ensures that data processed by Galen remains confidential and protected against both external and internal threats. No information is shared with third parties or used to train AI models, guaranteeing full control over the data and meeting the highest international medical security standards.

With Galen, hospitals can benefit from models like MedLM and Gemini Pro, specifically adjusted for medical and healthcare applications. As mentioned earlier, these advanced models offer accurate responses to clinical queries and generate summaries with a level of detail and precision comparable to that of human experts. It’s like having an assistant who knows all published medical literature and can instantly apply it to each case. This not only facilitates clinical decision-making but also enhances hospital efficiency.

And when it comes to efficiency, Galen’s deployment eliminates lengthy setup and configuration processes, as SNGULAR provides hospitals with a private cloud environment powered by Google technology. Within days, authorized professionals can start using the service—all that’s required is a list of approved email addresses.

Solutions that address the challenges of medicine and healthcare

The future of healthcare demands more than just innovative solutions—it requires a disruptive approach. At SNGULAR, we harness the power of artificial intelligence to achieve better health outcomes and help healthcare professionals provide more personalized and human-centered care.

Our AI expertise spans a wide range of applications, from optimizing administrative tasks to improving clinical decision-making. We assist in implementing predictive models, machine learning, analysis and management of healthcare tenders, and leveraging the potential of generative AI to transform patient care.

We work alongside your professionals to develop innovative, patient-centered solutions that are future-ready and adaptable to an ever-changing environment. At SNGULAR, we are not just your technology provider—we are a trusted partner committed to helping you meet and exceed your evolving expectations.

If you’re interested in improving your organization’s operations, we can help you develop unique solutions tailored to your business’s specific needs. We work closely with you, strategically using technology to optimize your processes and take your company to the next level.