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Challenges for standardization of data edits include?

1) Incomplete editing during data abstraction
2) Different registry software providers
3) Both (a) and (b)
4) Neither (a) nor (b)

1 Answer

2 votes

Final answer:

The challenges include incomplete data editing and different registry software providers, alongside ethical considerations and balancing costs with privacy in genome sequencing. The correct option is A.

Step-by-step explanation:

The challenges for standardization of data edits include both incomplete editing during data abstraction and different registry software providers. In the context of genome sequencing and health records, some of the most challenging issues include the inability to develop fast and accurate sequencing techniques, the ethical considerations of using genomic information, and the balance between costs, patient quality of life, and privacy risks. Policies must address questions such as the extent to which personal genome information should be accessible, how to ensure accuracy and reliability in genetic testing, and how to manage consent for genetic data use.

The challenges for standardization of data edits include:

Incomplete editing during data abstraction

Different registry software providers

Both of these factors can pose challenges when trying to establish standardized data edits. Incomplete editing during data abstraction can lead to inconsistent or inaccurate data, while different registry software providers may have their own formatting or data entry requirements.

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