Adverse event: An incident in which harm resulted to a person receiving health care.

DDS: The Detailed Data Set (DDS) required for Detailing an incident.

Data capture: The collection of basic incident information (incident notification) and when relevant, classification.

Detailed data: Additional, more detailed or specific incident information that needs to be collected about incidents that have been targeted. That is, incidents which meet the criterion determining whether an incident should be classified or subject ed to a route cause analysis.

Detailing: The process of gathering detailed information to de-construct and classify an incident.

GRM: The Generic Reference Model (GRM) forms the basis for the design of the AIMS database, underpinning the overall process of collecting and classifying information.

Harm: Death, disease, injury, suffering, and/or disability experienced by a person.

Health care: Services provided to individuals or communities to promote, maintain, monitor, or restore health. Health care is not limited to medical care and includes self-care.

HIT: The Healthcare Incident Type (HIT) screens are interactive screens that make the classification process easy and intuitive.

Iatrogenic: Arising from or associated with health care rather than an underlying disease or injury. Consequences of omission (failing to do the right thing) as well as commission (doing the wrong thing) are included.

ICD 10: The International Classification of Diseases - Version 10

Incident: An event or circumstance, which could have or did lead to unintended and/or unnecessary harm to a person, and/or a complaint, loss or damage.

Incident notification: The collection of basic incident information that includes the who, what, where and when.

MDS: A Minimum Data Set (MDS) is a standard minimum amount of information that should be collected about all incidents. This is also known as primary or notification data.

Near miss: An incident that did not cause harm.

Notification data: The standard minimum amount of information that should be collected about all incidents is known as notification data and is often referred to as a minimum data set (MDS).

Preventable: Potentially avoidable in the relevant circumstances.

Root Cause Analysis: A systematic process to identify the factors, which contributed to an incident.

Sentinel event: An incident, which should never have happened - which has a severe or potentially severe outcome. Sentinel events normally trigger a root cause analysis.

Subject of the incident: The subject of the incident is the person who is affected or influenced by the incident (this could also be an item of equipment).

Target: AIMS allows you to set the criterion that determines whether an incident should be classified or subject to a route cause analysis. If these criteria are met, AIMS considers the incident to be Targeted.