Healthcare data sets table and record analysis

The five data sets in this exercise are not variations on one idea, and getting their settings right is what makes the table meaningful. UHDDS is the inpatient discharge abstract, UACDS its ambulatory counterpart, MDS is the resident assessment used in long-term care, OASIS is the home health assessment, and DEEDS is the emergency department data specification. Each was created by a different body for a different reporting purpose, and each therefore collects different things: MDS and OASIS are clinical assessment instruments completed on a schedule, while UHDDS and UACDS are abstracts of a completed encounter. Say that distinction somewhere in the submission, because it explains why the four data elements you find for MDS look nothing at all like the four you find for UHDDS, and an assessor reading the table can tell instantly whether you understood the difference or simply copied five lists out of five different manuals.

Part III is the part that is actually assessed for judgement, and it is a compliance test rather than a research task. You take the UHDDS elements you put in your own third column and go looking for each of them in a real inpatient record, marking yes or no. The discipline is to answer honestly: a no is a finding, not a failure, and a documentation gap in a real record is exactly what the exercise is designed to surface. Be precise about what counts as present, since UHDDS elements are defined tightly and a record containing something similar does not satisfy the definition. Principal diagnosis, for instance, has a specific meaning as the condition established after study to be chiefly responsible for the admission, so a discharge summary listing several diagnoses without designating one does not contain that element. Cite the manual definitions you are testing against so the yes and no answers are defensible.