The Critical Care Information System (CCIS) is a key component of Ontario’s Critical Care Strategy which is overseen by Critical Care Services Ontario (CCSO). The CCIS provides near-real time data on every patient admitted to level 3 and level 2 critical care units in Ontario’s acute care hospitals and consultation data for funded Critical ...

2023年3月1日 · The CCIS provides near-real time information on every patient admitted to level 3 and level 2 critical care units in Ontarios acute care hospitals. The system captures data on bed availability, critical care service utilization and patient outcomes. CCIS also captures patient-specific data from CCRTs. This provides consistent and reliable

2020年5月7日 · To externally validate an intensive care unit (ICU) mortality prediction model that was created using the Ontario Critical Care Information System (CCIS), which includes the Multiple Organ Dysfunction Score (MODS).

2016年2月29日 · The CCIS uses a web-based application to collect real-time information on every patient admitted to a critical care unit in Ontario acute care hospitals. Data captured includes, but it is not limited to the following: demographics, admission and discharge details, MODS on admission, daily NEMS, and patient outcomes such as ICU mortality and ...

includes Multi Organ Dysfunction Score (MODS), Life Support Interventions (LSI, NICU LSI), Pediatric Logistic Organ Dysfunction Score (PELOD) and Pediatric Index of Mortality (PELOD). A lightning bolt icon will be displayed beside the clinical indicators MODS, LSI/NICU LSI, PIM2 and

2020年1月14日 · Correction to: To develop a regional ICU mortality prediction model during the first 24 h of ICU admission utilizing MODS and NEMS with six other independent variables from the critical care information system (CCIS) Ontario, Canada. Raymond Kao 1,2,3, Fran Priestap 2 & Allan Donner 2

2016年2月29日 · This study demonstrates that CCIS data available after the first 24 h of ICU admission at LHSC can be used to create a robust mortality prediction model with acceptable fit statistic and internal validity for valid benchmarking and monitoring ICU performance.

2016年2月29日 · This study demonstrates that CCIS data available after the first 24 h of ICU admission at LHSC can be used to create a robust mortality prediction model with acceptable fit statistic and internal validity for valid benchmarking and monitoring ICU performance.

Multiple Organ Dysfunction Score Calculation (MODS) MODS Formula = Hematological + Hepatic + Renal + Cardiovascular + Glasgow Coma Score + Respiratory Organ System Values

• Uses CCIS data for performance improvement, to inform capacity planning, capacity investment, and system improvements • Uses CCIS critical care occupancy data in managing critical care moderate surge process