LTP12 study plan

Build a one-page safety map linking each hazard class (chemical, biological, fire, electrical) to its required control, spill response, and documentation trail, and recite it from memory.

Explain the laboratory quality-management-system hierarchy (documents, records, SOP control, competency) and trace how a single SOP revision propagates through training and records.

Diagram the measurement chain for the two most common instrument families in your setting (e.g., spectrophotometric and electrochemical), labeling source, detector, signal conversion, and readout.

List the pre-analytical, analytical, and post-analytical variables that most often distort results, and rank them by frequency of occurrence in published error-distribution data.

Sequence the full specimen journey from order to storage, naming the acceptance criteria and rejection triggers at each handoff.

Compare collection devices, anticoagulants, and preservatives by analyte class, and justify the choice for five representative tests.

Describe handling requirements for light-sensitive, temperature-labile, and time-critical analytes, including transport and centrifugation limits.

Explain the operating principle of at least four analytical techniques (e.g., photometry, ion-selective potentiometry, immunoassay, chromatography) and match each to an analyte it suits.

Distinguish validation from verification, and state which studies each requires for a new method versus an FDA-cleared method.

Design a validation package listing accuracy, precision, analytical sensitivity, linearity, interference, and reference-interval studies with acceptance criteria for each.

Construct a Levey-Jennings chart interpretation workflow, including Westgard multirule logic and the action to take for each rejection pattern.

Explain calibration hierarchy, traceability, and how calibration frequency and lot changes interact with QC performance.

Analyze ten QC scenarios and correctly classify each as random or systematic error with the triggering rule.

Evaluate a proficiency-testing failure using the investigation sequence: event review, root cause, corrective action, and documentation.

Audit a specimen-collection workflow for identification, labeling, and chain-of-custody gaps, and propose fixes.

Calculate and interpret key QC statistics (mean, SD, CV, SDI) from raw replicate data.

Derive reference intervals from a dataset using both parametric and nonparametric approaches, and state when each is appropriate.

Apply delta-check, critical-value, and reporting-format rules to a set of sample results, flagging every result needing action.

Interpret method-comparison and bias data to decide whether a result shift is clinically significant.

Explain how calibration verification and QC data feed into result-release decisions.

Map the major regulatory frameworks (CLIA, accreditation standards, HIPAA-style privacy rules) to the operational requirements they impose.

Outline the elements of a compliance program: document control, competency assessment, incident reporting, and audit readiness.

Apply ethical decision-making to scenarios involving result disclosure, error honesty, and conflict of interest.

Describe reporting obligations and confidentiality limits for notifiable results.

Execute a structured root-cause analysis (fishbone plus five-whys) on a simulated analytical failure.

Distinguish corrective from preventive action and write SMART action items with owners and verification steps.

Diagnose common instrument faults by symptom (drift, imprecision, carryover, blank elevation) and match each to a likely cause.

Integrate safety and quality incident reporting into a single investigation record.

Synthesize all domains into a one-page concept map showing how safety, specimen handling, method performance, QC, and reporting interlock.

Complete a timed 100-question mixed-domain practice set and categorize every miss by domain and error type.

Re-teach your three weakest subtopics aloud or in writing without notes.

Build a final-week review checklist of high-yield facts, formulas, and decision rules.