Systems for the detection of short and long samples
Methods and systems are provided for detecting the accidental use of short and long samples in the clinical analysis of a sample, specimen, or assay. The systems can include a clinical analyzer for determining one or more values for one or more measurable characteristics of a sample. These values are used in combination with reference data stored in a data module to generate a probability that the sample tested is a short sample, a long sample, or an acceptable sample. This probability and/or the status of the sample as a short sample, a long sample, or an acceptable sample are output to a user.
1. A system for analyzing a sample, the system comprising:
an analyzer module configured to analyze a sample for at least one measurable characteristic to thereby generate sample data;
a data module storing parameter data and relationship data, the parameter data comprising a distribution for the at least one measurable characteristic in a representative subject population, and the relationship data defining a relationship between the parameter data and the sample data; and
an evaluation module in communication with the data module and the analyzer module, and programmed to use the parameter data, the relationship data, and the sample data to determine the probability that the sample is a short sample, a long sample, or an acceptable sample.
2. The system of claim 1 , wherein the evaluation module further comprises:
an identification module adapted to receive the sample data, the parameter data, and the relationship data; and
a processing module for determining the probability that the sample is a short sample, a long sample, or an acceptable sample.
3. The system of claim 1 , wherein the data module further comprises data representing one or more decision level parameters, wherein each decision level parameter defines a threshold probability level below which the sample is identified as either a short sample or a long sample.
4. The system of claim 3 , further comprising an output module capable of notifying a user as to whether the sample is a short sample, a long sample, or an acceptable sample.
5. The system of claim 4 , wherein the output module is a video display or LED.
6. The system of claim 1 , wherein at least one measurable characteristic is the concentration of albumin, alkaline phosphatase, alanine aminotransferase, amylase, aspartate amino transferase, total bilirubin, blood urea nitrogen, calcium, cholesterol, creatinine, glucose, total protein, total protein/albumin, and blood urea nitrogen/creatinine, creatine kinase, carbon dioxide, sodium, potassium, or chlorine.
7. The system of claim 1 , wherein the measurable characteristic(s) comprise one or more of osmolarity, alkalinity, and acidity.
8. The system of claim 1 , wherein the measurable characteristic(s) comprise at least one contaminant found in water.
9. The system of claim 1 , wherein at least one measurable characteristic is an antibody associated with a drug of abuse.
10. The system of claim 1 , wherein the analyzer module comprises an optical analyzer.
11. The system of claim 1 , wherein the analyzer module comprises an electrochemical analyzer.
12. The system of claim 1 , wherein the analyzer is configured to analyze a sample for a plurality of measurable characteristics to thereby generate sample data, and the parameter data comprises a distribution for each of the measurable characteristics in a representative population.
13. The system of claim 12 , wherein the plurality of measurable characteristics is a panel of electrolytes.
14. The system of claim 1 , wherein the analyzer module comprises a centrifugal rotor.
15. The system of claim 1 , wherein the analyzer module comprises a spectrophotometer.
16. The system of claim 1 , wherein the analyzer module detects a color, fluorescence, and/or luminescence.
17. A system for analyzing a sample, the system comprising:
an analyzer module configured to analyze a sample for at least one measurable characteristic to thereby generate sample data;
a data module storing parameter data and relationship data, the parameter data comprising a distribution for the at least one measurable characteristic in a representative subject population, and the relationship data defining a relationship between the parameter data and the sample data; and
an evaluation module in communication with the data module and the analyzer module, the evaluation module using the parameter data, the relationship data, and the sample data to determine the probability that the specimen is a short sample.
18. The system of claim 17 , wherein the evaluation module further comprises:
an identification module adapted to receive the sample data, the parameter data, and the relationship data; and
a processing module for determining the probability that the sample is a short sample.
19. The system of claim 17 , wherein the data module further comprises data representing decision level parameters, wherein the decision level parameters define a probability threshold level below which the sample is identified as a short sample.
20. The system of claim 19 , further comprising an output module for notifying a user as to whether the sample is at least one of a short sample or an acceptable sample.
21. The system of claim 17 , wherein the at least one measurable characteristic is the concentration of albumin, alkaline phosphatase, alanine aminotransferase, amylase, aspartate amino transferase, total bilirubin, blood urea nitrogen, calcium, cholesterol, creatinine, glucose, total protein, total protein/albumin, and blood urea nitrogen/creatinine, creatine kinase, carbon dioxide, sodium, potassium, or chlorine.
22. The system of claim 17 , wherein the at least one measurable characteristic is a measurable characteristic of blood.
23. The system of claim 17 , wherein the at least one measurable characteristic is a measurable characteristic of serum.
24. The system of claim 17 , wherein the at least one measurable characteristic is a measurable characteristic of urine.
25. The system of claim 17 , wherein the analyzer is configured to analyze a sample for a plurality of measurable characteristics to thereby generate sample data, and the parameter data comprises a distribution for each of the measurable characteristics in a representative population.
26. The system of claim 25 , wherein the plurality of measurable characteristics is a panel of electrolytes.
27. The system of claim 17 , wherein the analyzer module comprises a centrifugal rotor.
28. The system of claim 17 , wherein the analyzer module comprises a spectrophotometer.
29. The system of claim 17 , wherein the analyzer module detects a color, fluorescence, and/or luminescence.
30. The system of claim 17 , wherein the output module is a video display or LED.