Connected Healthcare Intelligence
Align Experience, Research and System Operations
Improving healthcare at scale requires a connected way to sense what is happening, decide what to change, and learn from every action. Intelligent Operating Models unify signals from operations, patients, clinicians, and communities into a digital twin of healthcare delivery systems. This helps healthcare organizations move from reactive problem solving to continuous optimization of patient experience and outcomes.
Patient and Clinician Experience
Ambulatory Surgery Center: Improving Patient Experience and OR Utilization
An outpatient surgical center relocated its ambulatory care entrance during a facilities upgrade. While many workflows improved, patients struggled to find the new drop-off point. Longer walks, parking confusion, and missed turns, exacerbated by outdated Apple and Google Maps listings - led to rising delays at pre-operative check-in.
Applied Impact
Improved patient communication optimizes CSAT and OR Utilization Levels
An nVeris Pulse with clinical and administrative staff quickly surfaced the pattern: more late arrivals, more time spent redirecting lost patients, and early indications of declining satisfaction scores.
nVeris synthesized these insights into a concise set of fixes. Instead of a broad access-improvement program, the team implemented targeted actions:
• Updating all major digital mapping platforms with the new entrance and parking routes.
• Embedding updated map links in pre-visit packets, reminder text messages, and caregiver information.
Within weeks, arrival reliability improved, navigation complaints dropped, patient CSAT scores increased, and OR utilization rates rose as more cases started on time.
nVeris synthesized these insights into a concise set of fixes. Instead of a broad access-improvement program, the team implemented targeted actions:
• Updating all major digital mapping platforms with the new entrance and parking routes.
• Embedding updated map links in pre-visit packets, reminder text messages, and caregiver information.
Within weeks, arrival reliability improved, navigation complaints dropped, patient CSAT scores increased, and OR utilization rates rose as more cases started on time.
Clinical Research AI Innovation
Accelerate research with modeling, collaboration and adaptive decision-making.
As research complexity grows, AI-supported operating models help distributed researchers and clinicians visualize their network models, simulate optimizations, speed up change decisions and improve research disovery.
Applied Impact
Improving medical research with connected models.
A globally distributed network of field research teams collects plant and tissue samples from remote environments and must rapidly coordinate analysis across laboratories, data platforms, and scientific disciplines. nVeris enables these teams to model and optimize their collaboration workflows by improving how samples are submitted, processed, and shared through a global research network.
Using collaborative AI simulation, research leaders can evaluate alternative operating models, identify bottlenecks, and expand the number of molecular targets screened for bioactive responses. nVeris also supports the design and testing of improved assay workflows, accelerates technology deployment, and helps teams model the downstream impact of new analytical tools before investing in them.
The result is a more adaptive, integrated discovery process that shortens the path to molecular insights, increases assay throughput, and strengthens the development of potential new therapies.
Using collaborative AI simulation, research leaders can evaluate alternative operating models, identify bottlenecks, and expand the number of molecular targets screened for bioactive responses. nVeris also supports the design and testing of improved assay workflows, accelerates technology deployment, and helps teams model the downstream impact of new analytical tools before investing in them.
The result is a more adaptive, integrated discovery process that shortens the path to molecular insights, increases assay throughput, and strengthens the development of potential new therapies.