Laboratory Information System (LIS) and Data Quality Review

Comprehensive vocabulary flashcards covering Laboratory Information Systems (LIS) classifications, workflow phases, error types, data quality dimensions, and assessment methods based on the lecture transcript.

Laboratory Information System (LIS)

A system involved in storing, recording, recovering, and consolidating laboratory information from both the clinical and anatomic sections of the laboratory.

Clinical Pathology

A laboratory classification focused on the analysis of body fluids and blood.

Therapeutic Drug Monitoring

Measuring medication levels in the blood to ensure safety and efficacy.

Anatomic Pathology

A laboratory classification focused on the study of tissues and organs to diagnose disease.

Immunohistopathology

A section of anatomic pathology that uses antibodies to detect specific antigens in tissue sections.

Turnaround Time (TAT)

The measurement of time from sample collection to the release of the laboratory result.

Pre-analytical Phase

The stage of the laboratory workflow involving activities occurring before the sample is tested, such as collection and transport.

Analytical Phase

The stage of the laboratory workflow involving the actual testing and examination of the specimen.

Post-analytical Phase

The stage of the laboratory workflow involving activities occurring after testing, such as result verification and reporting.

Quantity Not Sufficient (QNS)

A common pre-analytical error where the sample obtained is inadequate or insufficient for testing.

Worklist Management

An analysis function of the LIS involving the creation of instrument worklists via interface or manual lists for technicians.

Quality Control (QC)

Monitoring control data to ensure the accuracy and reliability of the analytical process.

Cumulative Reports

Historical reports generated by the LIS that track a patient's results over time to monitor trends.

Pending List

An oversight tool used to monitor incomplete tests to prevent delays in result delivery.

Ad Hoc Report Writer

A data analysis tool within the LIS used to create customized data reports as needed.

Data Quality

An assessment of data's fitness or appropriateness to serve its purpose in a given context.

Data Cleansing

The process of detecting and correcting corrupt or inaccurate records to increase overall data quality.

Quality Assurance (QA)

A proactive management method consisting of planned and systematic actions to provide confidence that a result will satisfy quality requirements.

Single Customer View

A unified record of all data relating to a patient or client that facilitates customer insights.

Thumb Suck

A common error in HMIS reports where staff members make up "likely-looking" numbers instead of using routine collection tools.

Unlikely Values

Data that is biologically or logically impossible, such as a woman being tested for Prostate Specific Antigen.

Lot Quality Assurance Sampling (LQAS)

A quality control method involving a small random sample from a population to determine if the entire group meets a quality standard.

Routine Data Quality Assessment (RDQA)

A simplified version of the Data Quality Audit (DQA) used to rapidly assess and verify data quality and M&E systems.