Healthcare-Associated Infections (HAIs), also known as nosocomial infections, are the "hidden pandemic" of the healthcare world. They are infections that patients catch while being treated for something else—turning a place of healing into a place of unintended harm.
HAIs remain a major challenge in hospitals globally. A key contributor to these infectons is inconsistent hand hygiene compliance among healthcare workers, partcularly during busy clinical periods. Healthcare professionals work hard and have a multitude of decisions to consider during their day. A sanitisation monitoring solution will aid in keeping healthcare professionals safe, while simultaneously protecting the patients in the hospital who deserve the very best care.
Despite clear protocols and strong awareness campaigns, hand sanitisation compliance often drops due to:
High patient loads and time pressure
Lack of feedback on hygiene behaviour
Difficulty monitoring compliance
Reliance on manual audits, which are time-consuming and capture only a small sample of behaviour
Manual observation methods also create reporting bias, as healthcare workers may modify behaviour when being watched. This is impractical and jeopardises the target of always keeping sanitisation protocols at a high standard.
The burden in SA is exacerbated by high patient-to-nurse ratios and infrastructure challenges.
As a result, infection prevention teams lack accurate, continuous data on hand hygiene practices across hospital wards.
Human Impact
The impact isn't just a longer hospital stay; it’s a systemic drain on resources and human life.
Human Impact: Increased morbidity, permanent disability, and a massive contribution to Antimicrobial Resistance (AMR), where "superbugs" become untreatable. In the USA approximately 1 in 31 hospital patients has at least one HAI on any given day. This results in ~700,000 infections and 99,000 deaths annually. In South Africa the rate is much higher at approximately 3 in 10 hospital patients.
Economic Cost: Regional data for Southern & Sub-Saharan Africa indicates that HAIs consume roughly 7% of total health spending and can exceed 1% of the national GDP. With South Africa’s 2026/27 health budget projected at approximately R66.4 billion, the financial loss due to HAIs is estimated in the billions of Rands.
Resource Depletion: HAIs require "second-line" or "last-resort" antibiotics (which are significantly more expensive) and increase the workload on already strained healthcare staff.
HAIs are increasingly viewed not just as a medical failure, but as a massive financial and operational liability.
Here’s why it needs to be complemented by digital approaches:
Why Manual Monitoring Isn't Enough
The most well-documented limitation of manual monitoring is that it measures behaviour under observation—not routine practice.
Observed Behaviour vs. Reality:
When staff are aware they are being observed, hand hygiene compliance increases significantly—often far above baseline levels reported by automated systems.
Sampling Bias:
Because observation captures only a small fraction of total hand hygiene opportunities, it can give a misleadingly optimistic picture of overall compliance.
Result:
Leadership may believe performance is high, while actual day-to-day compliance remains inconsistent.
Healthcare workers operate in high-intensity environments, managing complex clinical decisions. Reliance on intermittent observation does little to support consistent behaviour in these conditions.
Limited Coverage:
It is not feasible to continuously observe all staff across all shifts and locations. Most hand hygiene opportunities go unmeasured.
Cultural Impact:
If monitoring is perceived as punitive or sporadic, it can discourage transparency and reduce engagement, rather than fostering a culture of safety.
Manual monitoring systems are typically retrospective while a more proactive approach is required.
Delayed Insight:
Observations are recorded, aggregated, and reported days or weeks later.
Limited Responsiveness:
By the time trends are identified—such as declining compliance or increased infection rates—opportunities for early intervention may already have been missed.
Result:
Hospitals often respond to problems after they emerge, rather than preventing them in real time.
THE HAWTHORNE EFFECT
NORMALISATION OF DEVIANCE
THE "DATA LAG"
OPERATIONAL AND HUMAN CONSTRAINTS
Manual monitoring is the traditional approach to hand hygiene compliance—typically involving an Infection Prevention and Control (IPC) practitioner observing staff and recording whether hand hygiene is performed.
While direct observation remains valuable (especially for assessing technique and context aligned with the World Health Organization “5 Moments for Hand Hygiene”), it is not sufficient on its own. It is inherently limited by human behaviour, operational constraints, and the invisible nature of infection risk.
This well-established concept in safety science explains how small deviations from protocol gradually become accepted practice.
The Gradual Drift:
In high-pressure environments, a missed hand hygiene moment may seem inconsequential—especially if no immediate harm occurs. Over time, these shortcuts can become normalized within teams.
Delayed Consequences:
HAIs, including those caused by organisms like MRSA, often manifest days later. This delay makes it difficult for individuals to connect specific behaviours with outcomes.
Manual monitoring is valuable — but incomplete. It provides snapshots, not a full picture.
Effective infection prevention requires treating hand hygiene as a continuous operational process, not a periodic audit.
Complementing observation with automated, real-time monitoring systems can provide:
Continuous data across all shifts
Objective measurement of actual behaviour
Timely feedback to support improvement
Reduced reliance on human observation alone
In short, manual monitoring shows what can happen under observation. Digital systems help reveal what actually happens—and enable sustained improvement.
