Get Laboratory Data Review Checklist Updated: January 2010 - Dec Alaska

This guide provides a step-by-step approach for users to effectively fill out the Laboratory Data Review Checklist. Designed to assist individuals in ensuring thoroughness in laboratory data analysis, this checklist enhances the quality of reporting.

Follow the steps to complete your checklist online.

1. Press the ‘Get Form’ button to access the checklist and open it in the provided document editor.
2. Begin by entering the relevant details in the 'Completed by' field, including your name and title. This ensures accountability and transparency in the review process.
3. Fill in the 'Date' field with the date you are completing the checklist. This helps in maintaining a record of when the review was conducted.
4. Complete the section for 'CS Report Name' and 'Report Date' to identify the specific report being reviewed.
5. Provide the details for 'Consultant Firm,' 'Laboratory Name,' 'Laboratory Report Number,' 'ADEC File Number,' and 'ADEC RecKey Number,' ensuring all information is accurate and up-to-date.
6. Proceed to Section 1 regarding the laboratory. Answer whether the laboratory is ADEC CS approved and provide comments if necessary.
7. In Section 2, verify that the Chain of Custody information is correctly filled out and signed. Provide explanations if responses are marked as 'No' or 'NA.'
8. For Section 3 on sample receipt documentation, ensure that all sample conditions, temperatures, and documentation are correctly noted.
9. Continue through the remaining sections (4 through 7) answering the questions regarding case narratives, sample results, quality control samples, and any relevant data qualifiers.
10. Once all sections are completely filled out, review your answers for accuracy and completeness before making any final adjustments.
11. Finally, save any changes you've made to the form, and utilize the options to download, print, or share the completed checklist as needed.

Complete your Laboratory Data Review Checklist online to ensure thorough data evaluation and reporting.