Since stepping into his role as president of BD’s Connected Care business last year, Bilal Muhsin has been tasked with a mission that is as ambitious as it is essential: transforming the hospital room from a collection of disparate machines into a unified, intelligent ecosystem. A veteran of the medtech industry and former chief operating officer at Masimo, Muhsin is steering the medical giant toward a future where artificial intelligence (AI) and real-time data integration do more than just display numbers—they actively assist clinicians in saving lives.
The Strategic Shift: Integrating the Ecosystem
BD (Becton, Dickinson and Company) has long been a staple of hospital infrastructure. Its connected care segment encompasses some of the most critical tools in clinical settings, including Pyxis automated medication dispensing systems and Alaris infusion pumps. However, in an era where data silos are the greatest enemy of efficiency, BD is pivoting to ensure these devices communicate not just with the electronic medical record (EMR), but with each other.
Muhsin argues that BD occupies a unique position in the healthcare landscape. "We’re the only company in the world that knows what’s going into the body from our Pyxis solution—what’s being dispensed for oral medications—and what is being infused through our pumps," Muhsin said in a recent interview. By combining this medication-specific data with real-time physiological monitoring, BD is creating a closed-loop system capable of predictive analytics.
Chronology: From Regulatory Hurdles to AI Innovation
The path to this digital future has not been without challenges. In 2024, BD faced a significant hurdle when the Food and Drug Administration (FDA) issued a warning letter regarding its Pyxis medication dispensing systems. The incident underscored the immense responsibility of managing hardware that sits at the center of hospital pharmacy and nursing workflows.
BD has since signaled a commitment to transparency and compliance. A company spokesperson confirmed to MedTech Dive that all commitments to the FDA have been met, with the company actively working toward a final resolution.
Despite these regulatory headwinds, the pace of innovation has accelerated. Last autumn, the company launched the "Pyxis Pro," a next-generation version of its hallmark dispenser, designed to improve the physical and digital interface for clinicians. Simultaneously, the company unveiled "Incada," a sophisticated AI platform designed to aggregate data across BD’s device portfolio. This launch represents a shift in strategy from selling individual hardware units to offering a comprehensive, AI-enhanced software-as-a-service (SaaS) ecosystem.
Technical Architecture: Agentic AI vs. Clinical Guardrails
When discussing the role of AI, Muhsin is careful to distinguish between workflow automation and clinical decision support. The company is deploying a tiered approach to AI implementation.
Workflow Enhancement
For operational tasks, such as managing medication inventory or scheduling maintenance for infusion pumps, BD is utilizing "agentic AI." This form of artificial intelligence is capable of taking autonomous action to optimize hospital resources. By predicting when a device is likely to require service before it fails, BD aims to reduce equipment downtime and lower operational costs for hospitals, which often struggle with the complexity of maintaining large fleets of hardware.
Clinical Decision Support
In the clinical realm, the approach is intentionally more conservative. "We want to be a lot more careful, and we always want to have a clinician in the middle," Muhsin noted. The company has already successfully deployed machine learning algorithms that provide predictive notifications, such as identifying a patient’s risk of hypotension 15 minutes before the physiological event occurs. These features have already cleared regulatory hurdles and are currently being deployed in clinical environments.
The War on Alarm Fatigue
One of the most persistent problems in modern critical care is "alarm fatigue"—the sensory overload experienced by nurses due to constant, often non-actionable, alerts from monitors and pumps. Muhsin believes that the transition from simple threshold-based alarms to predictive, context-aware intelligence is the key to solving this.
"Mostly, everything is threshold-based today," Muhsin explained. "There’s a trigger that occurs based on a value increasing or decreasing beyond a certain number." BD’s new generation of AI-driven systems looks at multiple parameters simultaneously. By analyzing the correlation between blood pressure, medication infusion rates, and patient movement, the system can distinguish between a technical error (such as a sensor being bumped) and a true medical deterioration.
The objective is to eventually eliminate threshold-based alarms entirely, replacing them with "smarter" alerts that provide context. When an alert triggers, the clinician is presented with the specific data points that triggered the warning, allowing for faster, more informed interventions.
Incada: Redefining Real-Time Data
The centerpiece of BD’s software strategy, the Incada platform, aims to bridge the gap between static EMR data and the high-fidelity reality of the bedside.
While EMRs are the standard for hospital record-keeping, they are notoriously slow. Data is often entered in 15-minute snapshots, forcing clinicians to reconstruct a patient’s history based on intermittent observations. Incada, by contrast, captures the continuous waveform and the exact milligram-per-hour infusion rate of a medication.
"That real-time-ness of the waveform will allow it to be a lot more predictive," says Muhsin. "It knows exactly when that drug was infused, how much was provided, and what type of physiological reaction occurred at that exact moment." By feeding this granular data into AI models, BD is positioning itself to provide a level of patient oversight that was previously impossible.
Implications for the Future of Healthcare
The financial and clinical implications of BD’s strategy are substantial. Hospitals are currently burdened by the "integration tax"—the high cost and complexity of hiring third-party consultants to glue together disparate devices and data systems from multiple vendors.
BD’s strategy is to offer Incada as a cloud-based layer that sits atop their existing device footprint. This modular approach allows hospitals to scale their AI capabilities as they add more BD devices to their fleet. Because the hardware is already integrated into the clinical workflow, the barrier to entry for the AI platform is significantly lower than that of a total system overhaul.
Improving Clinical Outcomes
The ultimate goal of this technological push is to improve patient safety. By automating the titration of medication based on real-time physiological response, the system can ensure that patients receive the exact dose required to stabilize their condition, freeing up nurses to focus on complex care rather than manual adjustments.
The Role of the Clinician
Despite the excitement surrounding AI, Muhsin remains grounded in the human element of healthcare. The goal of the Incada platform is not to replace the clinician, but to provide them with a "digital assistant" that filters out the noise. By providing transparency—explaining exactly why the AI flagged a patient for deterioration—BD hopes to build trust between the machine and the practitioner.
Conclusion: A New Standard for Medtech
As BD continues to roll out its AI initiatives, the industry will be watching closely to see if the company can deliver on its promise of a more connected, less chaotic hospital environment. The combination of hardware dominance and a clear, pragmatic strategy for software integration positions BD as a primary architect of the "smart hospital."
For Muhsin, the focus remains clear: "We’re the only company in the world that knows what’s going into the body… with that kind of information, we can have a huge impact." As the healthcare industry grapples with staffing shortages and increasing patient complexity, that impact may prove to be the most important innovation of the decade.
