Hospitals are some of the most complex operations environments in the world, writes The Wall Street Journal (Sept. 29, 2026). Thousands of interdependent processes—clinical workflows, monitoring systems, documentation, staffing, and technology—must function with precision. When any part of that system becomes noisy, inefficient, or overloaded, the consequences can be serious. A striking example comes from an unlikely OM case study: hospital alarm fatigue.
In modern care units, monitors and pumps generate constant beeps signaling everything from minor fluctuations to life‑threatening deterioration. For patients, the noise disrupts sleep and recovery. For nurses, the sheer volume of alarms creates cognitive overload, making it harder to distinguish true danger from routine variation. In OM terms, this is a quality‑control failure caused by excessive false positives, poor signal design, and misaligned workflow triggers.
Researchers are now applying OM thinking to redesign the alarm ecosystem.
Reducing Non‑Actionable Variation Stanford Medicine introduced time delays and conditional triggers to filter out brief, self‑correcting changes in vital signs. This is classic process‑control logic: eliminate noise so workers can focus on meaningful signals. The results were dramatic—alarm volume dropped by up to 82% without compromising safety. Nurses reported better responsiveness, demonstrating how reducing process clutter improves human performance.
Human‑Centered Design for Quality Another team is redesigning alarms using principles from music cognition. Instead of harsh electronic tones, alarms use recognizable “auditory icons” and musical cues to convey urgency and type of problem. This is OM’s human‑factors engineering at work: improving quality by making information more intuitive, reducing worker stress, and speeding decision‑making.
Predictive Systems to Prevent Failure The most powerful OM innovation may be the machine‑learning tool Concern, which analyzes patterns in nursing documentation to detect deterioration before vital signs trigger alarms. It provides a quiet, color‑coded risk indicator rather than another disruptive alert. In a 60,000‑patient trial, units using Concern saw lower mortality and shorter stays. This is proactive capacity and risk management, shifting from reaction to prevention.
The OM Lesson Alarm fatigue isn’t just a clinical issue—it’s an operations problem. Smarter triggers, better signal design, and predictive analytics show how OM principles can transform safety, reduce waste, and improve outcomes in high‑stakes environments.
Classroom Discussion Questions
- How should hospitals balance the need for constant patient monitoring with the risks of alarm fatigue?
- What lessons from hospital alarm redesign—such as smarter triggers, better sound design, or early‑warning systems—could be applied to other industries that rely heavily on alerts?

Prof. Howard Weiss raises an interesting issue that can save consumers and companies money.
Recognizing this problem, California became the first state to standardize food date labeling with a law that just went into effect and applies to all food products sold within the state. Products sold outside the state are exempt. The law is aimed at reducing food waste and lowering greenhouse gas emissions.
St. Louis. The station consisted of little more than a curbside pump with a hose, allowing motorists to fuel their vehicles directly instead of using portable containers. Gasoline sold for 25 cents a gallon. In 1913, the first drive-in service station opened in Pittsburgh, and also expanded the customer experience by offering free air, water, crankcase service, tire installation, and road maps.

In prior years consumers expressed dissatisfaction when Nutella reduced the amount of cocoa in its product. One reason for the change in the recipes for these two products is the high cost of cocoa. Clearly, a change in a recipe will affect inventory, material (ingredient) costs, and the supply chain.
We even highlighted this exciting digital-driven advancement in an OM in Action box in Chapter 5 (see page 175). But as we also point out in in our discussion of product life cycles in that chapter (Design of Goods and Services): “Products are born. They live and they die.”


Prof. Misty Blessley at Temple U. looks into an issue facing EV owners.
This shift reflects a broader trend toward open-access infrastructure aimed at increasing accessibility for all EV drivers. It also introduces new OM considerations around the production, availability, and use of adapters.
Speed and its benefits
Artificial intelligence tools like ChatGPT and Microsoft Copilot have already proven their value in many product designers’ daily design work, asking questions about design decisions and giving advice on design and CAD strategies. (See Chapter 5 in your Heizer/Render/Munson OM text). 
The durability problems affecting A220 engines have hit this aircraft hard, forcing airlines to cancel flights and ground crews. PW1500G’s were supposed to last 20,000 flight cycles, but are being sent to the shop at 5,000. Some are being sent in before 600 cycles. About 15% of global A220s are grounded.