Metrics are NOT correct in CQR dashboard for FLU Vax and PNA Vax. HELP! Upon review of our CQR dashboard, I've performed a drill down into patient charts for the ones who are UNMET for FLU and PNA immunizations. I've found that the nurses are not entering vaccines received at other facilities correctly...........they are entering into a flowsheet with obsterm instead of using the HTML form. So, yesterday I entered 95 historical FLU vaccines using the HTML form that should meet the measure. After recalculating, 23 moved to the met category 72 remained unmet............ Anybody else having trouble with the Immunization measures in CQR? Any ideas?
Have you ran the Immunization Conversion Tool from GE? Did this correct your numbers at all?
In case you do not know where this is at, it should be on your Application Server in C:\CPS_12_Staging\DMImmunization\
It is the DMImmunization.exe and I usually run it as administrator.
I am considering re-running the immunization migration wizard. Is that the same as the Conversion Tool?
Also, do you run that periodically to load any values that nurses didn't place on the HTML form but entered as obs terms? If yes, how often?
Yes, it is the same thing.
I try to run the conversion tool (migration wizard) at least once every 60 days. I also us the following script to identify the patient records impacted so that our Assistant Clinical Services Director can investigate into the charts and find out what users are not documenting correctly (our policy is that everyone should be using the HTML form).
select distinct PatientId, pp.Last + ', ' + pp.First + ' ' + IsNull(pp.Middle,'') PatientName, oh.NAME, o.OBSDATE
from dm_OBStoImmunizationIdMapping oim, OBS o, OBSHEAD oh, PatientProfile pp
where oim.OBSID = o.OBSID
AND CONVERT(date, oim.MigrateDate) = CONVERT(date, '03/28/2018')
and o.HDID = oh.HDID
and o.PID = pp.PId
order by pp.Last + ', ' + pp.First + ' ' + IsNull(pp.Middle,'') asc, o.OBSDATE
I may be wrong, but I think you can manually map the Observation terms in the data mapping settings. I know for sure that you can map Flu refusals to an observation because we have done so.