The clinical laboratory is responsible for processing, analyzing, preserving, and disposing of specimens collected from individuals.
The main task of the clinical laboratory is to provide accurate and reliable information to medical doctors for the diagnosis, prognosis, treatment, and management of diseases.
Approximately 70% of medical decisions made by doctors are based on laboratory test results.
The clinical laboratory is involved in research, community outreach programs, surveillance, infection control, information dissemination, and evaluation of diagnostic technologies.
Factors that can affect the activities done in the lab include shifting demographics, emergence of new and re-emerging diseases, demand for more efficient workflow, and new government policies.
There are two classifications of clinical laboratories: clinical pathology (diagnosis and treatment of diseases through lab testing of blood and body fluids) and anatomic pathology (diagnosis of diseases through microscopic examination of tissues and organs).
Clinical laboratories can be institution-based (part of a hospital, school, medical clinic) or free-standing (not part of an established institution).
Clinical laboratories can be government-owned (owned by national or local government units) or privately-owned.
Automation in laboratories now includes processing and transport of specimens, loading of specimens into analyzers, assessment of test results, and storage of specimens.
Rules-based expert system software assists with the review of laboratory results and identifies problematic results for attention.
Much of the automation in laboratories today has its roots in early automation systems in Japan.
Automation is recognized as a means of eliminating errors, improving quality, and reducing labor, costs, and turnaround time.
Intelligent automation allows instruments to self-monitor and respond to changing conditions.
After processing, specimens are transported to workstations in the laboratory for analysis with minimal or no human intervention.
Preanalytical automation involves operations in the specimen processing area, such as specimen identification, labeling, scheduling for analysis, centrifugation, and sorting.
Many laboratories worldwide have total laboratory automation (TLA) systems or automated systems for specific functions.
The evolution of automation in clinical laboratories has progressed from fixed automation to programmable automation.
LIS helps manage patient information, test orders, billing, and test results in a clinical laboratory.
Privately-owned laboratories are owned, established, and operated by individuals, corporations, institutions, associations, or organizations.
LaboratoryInformationSystem (LIS) is a computer system designed to manage all operations involved in laboratory activities, including inputting, processing, and storing information and data.
Primary category service capabilities include tests such as urinalysis, fecalysis, and pregnancy kits.
There are three categories of service capabilities: primary, secondary, and tertiary.
Secondary category service capabilities include tests such as FBS/RBS, lipid profile, and CBC.
Tertiary category service capabilities include specialized tests such as tumor markers, hormones, and allergy panels.
Automation in the laboratory refers to the process whereby an analytical instrument performs tests with minimal involvement of an analyst or laboratory scientist.
An LIS (LaboratoryInformationSystem) is important for a clinical laboratory to run smoothly.
MasahideSasaki pioneered automation in the clinical laboratory and created the world's first automated laboratory in 1981.
The main advantages of an LIS arereduced clerical work, better evaluation of workload, faster communication, improvement of information given to the clinician, improved retrieval operations, and faster billing.
The advantages of automation in the laboratory include minimum human intervention, using a minute amount of sample, more tests done in less time, reduced workload, decreased chances of human errors, and high accuracy and reproducibility.
The history of automation in the clinical laboratory began in the late 1950s with the development of flame photometry, peripheral blood cell analysis, and the invention of the first autoanalyzer.
The main difference between an LIS and a LIMS (Laboratory Information Management System) is that an LIS is patient-based, storing and managing patients' data and test results, while a LIMS is sample-centric, used for centralizing laboratory operational workflows.