Here's an answer to the above, that's both simple and also works with JSON results being returned. While the SQL query will automatically prefix table names to each instance of identical field names when you use SELECT *, JSON encoding of the result to send back to the webpage, ignores the values of those fields with a duplicate name and instead returns a NULL value.
Precisely what it does is include the first instance of the duplicated field name, but makes its value NULL. And the second instance of the field name (in the other table) is omitted entirely, both field name and value. But, when you test the query directly on the database (such as using Navicat), all fields are returned in the result set. It's only when you next do JSON encoding of that result, do they have NULL values and subsequent duplicate names are omitted entirely.
So, an easy way to fix that problem is to first do a SELECT *, then follow with aliased fields for the duplicates. Here's an example, where both tables have identically named site_name fields.
SELECT *, w.site_name AS wo_site_name FROM ws_work_orders w JOIN ws_inspections i WHERE w.hma_num NOT IN(SELECT hma_number FROM ws_inspections) ORDER BY CAST(w.hma_num AS UNSIGNED);
Now in the decoded JSON, you can use the field wo_site_name and it has a value. In this case, site names have special characters such as apostrophes and single quotes, hence the encoding when originally saving, and the decoding when using the result from the database.
...decHTMLifEnc(decodeURIComponent( jsArrInspections[x]["wo_site_name"]))
You must always put the * first in the SELECT statement, but after it you can include as many named and aliased columns as you want, as repeatedly selecting a column causes no problem.