1.6 Healthcare Technology Safety and Risk

1.6 Healthcare Technology Safety and Risk

The rapid adoption of health information technology (health IT) over the past two decades has transformed clinical workflows. Technologies such as the electronic health record (EHR), computerized provider order entry (CPOE), and clinical decision support (CDS) systems were implemented to reduce diagnostic errors, standardize care, and prevent medication mishaps. However, technology is not a panacea; instead, it reshapes the risk landscape. Well-documented investigations reveal that poorly designed or implemented systems can lead to unintended consequences, cognitive overload, and technology-induced errors. Rather than eliminating human slip-ups, new digital systems can introduce novel error pathways that threaten patient safety.

EHR Risks and Unintended Consequences

While EHRs improve legibility and centralize patient data, they also introduce significant safety risks. A primary concern is the phenomenon of copy-paste errors. Clinicians, faced with high documentation burdens, frequently copy text from previous notes and paste it into current progress notes. Studies show that copy-pasted text can account for up to 66% of note content. This practice can propagate outdated clinical information, incorrect histories, or redundant data, leading to diagnostic errors and clinical confusion.

Another consequence of EHR design is the creation of workarounds. When a software system is clunky or does not match real-world clinical workflows, providers invent shortcuts to bypass the technology. Common workarounds include:

• Writing orders on paper and entering them hours later
• Sharing login credentials to access systems quickly
• Overriding barcoded medication administration scans by printing duplicate barcodes to keep on clipboards

These workarounds bypass built-in safety checks, significantly increasing the probability of patient harm.

Usability and Human-Computer Interaction

In healthcare technology, usability refers to how easily and effectively a system allows users to achieve their clinical goals. Usability issues are rooted in poor human-computer interaction (HCI) design. If a system requires too many clicks, displays cluttered screens, or lacks intuitive navigation, it induces cognitive fatigue. Approximately 33% of EHR-related patient safety events are attributed to usability and system interface design flaws.

To mitigate these risks, developers and clinical teams must employ user-centered design principles, which involve testing systems with end-users (nurses, physicians, pharmacists) in realistic clinical environments before deployment.

Alert Fatigue

CDS systems are designed to warn clinicians of potential dangers, such as drug-drug interactions, patient allergies, or critical lab results. However, when these systems generate excessive, low-priority alerts, clinicians suffer from alert fatigue. Alert fatigue is the cognitive desensitization that occurs when clinicians are exposed to a high volume of alerts, most of which are clinically irrelevant.

graph TD
    ALERTS[High Volume of Health IT Alerts] --> AF[Alert Fatigue and Cognitive Overload]
    AF --> OVER[Clinician Automatically Overrides Alerts]
    OVER --> HARM[Critical Warning Missed: Patient Harm]
    
    style HARM fill:#f9d5d5,stroke:#c92a2a,stroke-width:2px

Research indicates that clinicians receive dozens or even hundreds of alerts daily, leading them to override between 49% and 96% of all alerts. In many cases, these overrides are appropriate because the alert is minor (e.g., warning of a mild interaction for a drug the patient has taken safely for years). However, the danger arises when a clinician, numbed by constant pop-ups, automatically clicks through a critical, high-priority warning (e.g., a severe drug allergy alert), resulting in a sentinel event.

Organizations must manage alert fatigue by:

1. Tiering Alerts: Restricting disruptive pop-ups to high-severity warnings only, while placing low-priority information in passive sidebars.
2. Clinical Customization: Adjusting alert thresholds based on patient-specific context (e.g., age, renal function, lab results).
3. Regular Audit and Pruning: Continuous monitoring of override rates to identify and eliminate useless or redundant alerts.

CPOE and CDS Optimization

CPOE systems allow clinicians to enter medication, laboratory, and imaging orders electronically, eliminating legibility errors. While CPOE reduces overall medication order errors by approximately 55%, it can introduce new issues if usability is poor. For instance, drop-down menus with similar-looking drug names (e.g., look-alike, sound-alike drugs) can lead to selection errors.

To optimize CPOE and CDS safety, healthcare organizations must implement:

• Forcing functions: Design features that prevent an action unless a specific condition is met (e.g., requiring a weight entry before a pediatric medication dose can be calculated).
• Usability testing: Conducting regular simulation exercises to see how clinicians interact with ordering systems.
• Interoperability: Ensuring that the EHR, pharmacy, laboratory, and imaging systems communicate seamlessly to prevent data silos.

Furthermore, the integration of medical devices, such as smart infusion pumps with the EHR, introduces both safety nets and vulnerabilities. Dose Error Reduction Systems (DERS) inside smart pumps pre-program hard and soft dosing limits to catch infusion errors. However, if the smart pump is not integrated with the CPOE system (a failure of interoperability), clinicians must manually program the pump. This manual entry is highly susceptible to programming slips, such as decimal point errors, which can result in tenfold overdoses. True integration requires barcoded medication administration (BCMA) systems to sync the patient, drug, and pump parameters automatically.

By applying human factors engineering and user-centered design to healthcare technology, systems can be constructed that support and enhance clinical decision-making rather than inducing cognitive strain.