Solutions that fix real problems
Hospitals and health systems are AI-enabled solutions that concentrate on their most urgent pain points: staffing shortages, clinician burnout, rising costs, and patient bottlenecks. These operational realities keep leadership up at night, and AI solutions must directly address them.
For example, hospitals and health systems are looking forward to AI tools that may reduce documentation burden for physicians and nurses. Natural language processing (NLP) solutions that auto-generate clinical notes or streamline coding to unencumber time for direct patient care are way more compelling pitches than generic efficiency gains. Similarly, predictive analytics that help optimize staffing levels or manage patient flows can directly address operational workflow and improve throughput.
Ultimately, if an AI solution doesn’t goal these critical issues and deliver tangible advantages, it’s unlikely to capture serious buyer interest.
Show real-world results
AI solutions need validation in environments that mirror actual care settings. Step one toward that’s to leverage high-quality, well-curated real-world data to drive reliable insights and avoid misleading results when constructing and refining AI models.
Then, hospitals and health systems need evidence that the answer does what it claims to do, for example through independent-third party validation, pilot projects, peer-reviewed publications, or documented case studies.
Mayo Clinic Platform offers a rigorous independent process where clinical, data science, and regulatory experts evaluate an answer for intended use, proposed value, and clinical and algorithmic performance, which provides innovators the credibility their solutions must win the boldness of health-care leaders.
Integration with existing systems
With so many demands, health-care IT leaders have little patience for standalone AI tools that create additional complexity. They need solutions that integrate seamlessly into existing systems and workflows. Compatibility with major electronic health record (EHR) platforms, robust APIs, and smooth data ingestion processes at the moment are baseline requirements.
Custom integrations that require significant IT resources—or worse, create duplicative work—are deal breakers for a lot of organizations already stretched thin. The less disruption an AI solution introduces, the more likely it’s to achieve traction. That is the explanation solution developers are turning to platforms like Mayo Clinic Platform Solutions Studio, a program that gives seamless integration, single implementation, expert guidance to cut back risk, and a simplified process to speed up solution adoption amongst healthcare providers.
