In the first three articles of this series, we explored how healthcare communication orchestration can: 

  1. Relieve clinicians from serving as middleware 
  2. Reduce misdirected, low‑value communication 
  3. Unlock tangible and durable ROI 

In this fourth article, I want to take the conversation one step further—by examining how AI amplifies each of these benefits and why activation, not algorithms alone, is becoming the true differentiator for health systems. 

Meeting the Moment: What Healthcare Leaders Expect from AI 

Based on experience, we know a few things to be true: 

  • Patients want AI to be safe and to measurably improve their care experience
  • Clinicians want AI to reduce workload and improve outcomes for their patients.
  • Operational leaders want AI to improve efficiency, reliability, and throughput
  • Financial executives want to see demonstrable bottomline impact
  • IT leaders want AI to be used responsibly and aligned with the hospital’s mission.

At the same time, high‑quality evidence increasingly shows that AI can: 

  • Activate care teams earlier when patients are deteriorating1 
  • Reduce clinician inbox burden while supporting patient engagement2 
  • Improve provider workflows3 and coordination across care settings 

Individually, these capabilities are valuable. Collectively, they point to something much bigger. 

Where Health Systems Will Truly Differentiate 

Over time, what will separate leading health systems from the rest is not whether they deploy AI, but whether AI moves work through their system faster and smarter than their competition

That requires more than point solutions or experimental pilots. It requires AI‑powered workflows that get adopted, persist in the real world, and continuously improve. I refer to these as RealWorld Workflows (RWWs). And, if those AI‑enabled RWWs can unlock new health system capabilities that drive net new clinical and operational revenue streams – well, that is even better. 

Why Tooling Alone Isn’t Enough 

With the rise of platforms like Claude Cowork and code‑generating AI tools, building tools has become faster and more democratized than ever. But easy tooling does not equal effective orchestration. Healthcare differentiation depends on how well a health system orchestrates and operationalizes its AI—how well it embeds intelligence directly into the flow of work. We must get this AI into Real World Workflows (RWWs). 

To do that, our teams need what I call a System of Activation, which ensures that: 

  • The right people are engaged 
  • At the right time 
  • With precise, actionable information 
  • And with feedback loops that show what’s working and what isn’t 

This requires analytics that provide visibility into how RWWs perform (something healthcare has historically lacked), and what I refer to as the Data of Activation.  

Two Questions Worth Asking 

With these considerations in mind, this article comes down to two essential questions about the promise of AI: 

  1. Can AI improve the orchestration of healthcare communication? 
  2. Can AI drive meaningful differentiation for health systems by accelerating the flow of work? 

100% it can and it already is. 

We’ve seen it firsthand with organizations using TigerConnect’s care orchestration platform, a modern System of Activation purpose‑built to operationalize AI. 

When AI is injected directly into orchestration, it: 

  • Reduces nuisance alerts and noise 
  • Empowers highly reliable human teams, and 
  • Enhances clinical, operational, and financial ROI 

Here’s how:  

What AI can do: 

Benefits to healthcare organizations:  

Improve healthcare communication orchestration 

  • Earlier event detection with team activation 
  • Agentic, precision communication routing 
  • Automation of “administrivia” to run in the background, so we can focus on patients 
  • Reduced cognitive burden through reduced nuisance alarms 
  • Predictive escalations with next best actions 
  • Automation of provider-staff and provider-patient communication 
  • Streamlining care team notifications from physiologic monitors 

Drive health system differentiation through the flow of work 

  • Life-critical and sub-critical protocol activations (differentiated outcomes) 
  • Predictive activation of teams for patient throughput before census peaks (differentiated capacity and throughput management) 
  • Predictive activation of patient routing for load-balancing across the network (differentiated access streamlining)
  • Access and service recovery activations for clinic and procedure visits (differentiated patient experience)
  • Activating the patient safety net beyond the four walls of the physical hospital (differentiated service offerings) 
  • Understanding our patients better – real-time translation services (differentiated patient experience) 
  • Customer empowerment through self-service deployment of agentic RWW’s (differentiated internal IT and change management efficiency) 

The Three Systems Healthcare Needs and Where It Breaks Down 

For AI‑powered orchestration to work, three systems must function together: 

  1. System of Record – typically the EHR 
  2. System of Prediction – AI or predictive models (e.g., sepsis detection) 
  3. System of Activation – where work is coordinated (e.g., TigerConnect) 

Most healthcare organizations are strong in the first two. The third is where systems often suffer from too much tech sprawl. Clinicians and operators are not always in the EHR, nor should they be. A modern System of Activation unshackles clinical teams from the EHR. Remember Southwest Airlines’ old slogan from the 1990s? In healthcare today, it might read: “You are now free to move about the hospital.” 

Powering RealWorld Workflows with AI 

This is where TigerConnect closes the gap. Our platform serves as a single System of Activation, powering AI‑enabled RWWs that enable work to flow through the system, and hospitals to stay ahead of the competition by delivering: 

  • Precise and relevant communication 
  • Actionable alerts only when teams are “on” 
  • Visibility into workflow performance, breakdowns, and variability 

Historically, this operational data simply wasn’t captured—or wasn’t visible. A modern System of Activation changes that by providing both: 

  • Intelligent activation of teams (orchestration) 
  • Data of Activation to fuel continuous improvement 

Our unique approach agentifies both the workflows and the analytics—so organizations can move faster, learn faster, and adapt faster. 

The good news? This isn’t theoretical. These AI‑powered capabilities are already live on our platform. Here is a subset of our AI capabilities we have developed:  

  • AI EMS Protocol Assist—A GenAI solution to help Emergency Medical Services teams in the field quickly interrogate evidence-based treatment protocols in real time. 
  • AI Operator Assist—Next best action recommendations for operators using TigerConnect Operator Console to speed rapid response team activation, and triage and route incoming calls more quickly. 
  • AI AutoScheduler—Predictive AI tools to automate and load-balance coverage schedule creation that significantly speed the work of call schedule creation. 
  • AI Scheduling Agent—Predictive AI tools to facilitate demand-based scheduling changes 
  • AI Workflow Builder & Workflow Analytics— GenAI and AI-code assist that rapidly speeds the build and deployment of workflows (e.g., Code Blue; Nurse Call), paired with an interrogatable business analytics layer to query how well the workflows are working. 

Embedding AI into Your System of Activation 

The path forward is clear. Together, we can embed healthcare orchestration AI into your System of Activation through: 

  1. Agents for Care Teams and Patients 
  2. Agents for Hospital Operations 
  3. Agents for Analytics  

In the final article of this series, I’ll bring everything together by summarizing the journey from orchestration to activation, and outlining what comes next for AI‑enabled healthcare communication. 

Stay tuned. 

Read post #4: AI and the Future of Healthcare Communication Orchestration