Potential identifiability and preventability of adverse events using information systems

Area of Science:

• Medical Informatics
• Patient Safety
• Health Information Technology

Background:

• Adverse events in medical patients pose significant risks.
• Computerized information systems (ISs) offer potential for improving patient safety.
• Current capabilities of ISs in identifying and preventing adverse events require evaluation.

Purpose of the Study:

• To assess the effectiveness of computerized information systems (ISs) in identifying and preventing adverse events.
• To determine the impact of IS sophistication levels on adverse event detection and prevention.
• To identify key data points and system features that enhance adverse event management.

Main Methods:

• A cohort of 3,138 medical patients was analyzed, with 133 identified adverse events.
• Three hierarchical levels of IS sophistication were defined (Level 1 to Level 3).
• Two reviewers assessed the potential for event identification and prevention using IS data and event monitors.

Main Results:

• Adverse event identification rates increased with IS sophistication: 53% (Level 1), 58% (Level 2), and 89% (Level 3).
• Key identifiers included "panic" laboratory results, ICU transfers, and hospital-incurred trauma.
• Preventability rates were 5% (Level 1), 13% (Level 2), and 23% (Level 3), with algorithms and checks being most effective.

Conclusions:

• Advanced computerized information systems (ISs) significantly enhance the identification and prevention of adverse events.
• Level 3 IS sophistication, incorporating comprehensive clinical data, shows the highest potential for impact.
• Targeted interventions, such as guided-dose algorithms and drug-patient checks, are crucial for preventing identified adverse events.