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Message #36179
Re: patients daily log (data elements mapped to each other)
Thanks for replying again
If I may put it in anohter way
I created a prorgam multiple evens with registration with
One attribute – Patient ID
And three data elements
Diagnosis
Services
Medicine
My report in event visualizer should show me
what services offered with specific diagnosis
what medicine offered with specific diagnosis
when I fill in the three data element example :
diagnosis is (D1) , Service is (S1) , Medicine is (M1)
if I want to offer another service to Diagnosis (D1) like Service (S2) and for example I repeate the program stage and do the following: diagnosis is (empty),Service is(S2) , Medicine is(empty)
then in the events visualizer want show me that I offered Service (S2) mapped to Diagnosis (D1) it will show me that I diagnsois data element filed is (N/A) “Not availible”,and Medicine Data elements field is also (N/A) “Not Availible”
and in the previos example if I filled in the diagnosis filed with (D1) in the events visualizer will give that I described D1 two times in the time that I only described the D1 only once
we are traying to build a primery health care data collection that offers for each patient one or more services, and one or more daignosis and provide one or more Medicine in each visit
I am so sorry for long explination but we really want to impliment DHIS2
If there is any way no matter how hard it is we are ready to do it
best regards,
From: Abyot Gizaw [mailto:abyota@xxxxxxxxx]
Sent: Saturday, March 7, 2015 6:07 PM
To: Nami Ghadri
Cc: Knut Staring; DHIS 2 Users list; DHIS 2 developers
Subject: Re: [Dhis2-devs] patients daily log (data elements mapped to each other)
Hello Nami,
Currently, the easiest solution is to put all your data elements (from all types medical services, diagnosis and disease) into one repeatable program stage. This is going to be one big form. The monitoring that you asked needs to be done manually when data elements are being filled - during daily patient visit, you fill only those data elements from the corresponding diagnosis, medical services and medicines. The rest, you just skip them.
We are planning to introduce a skip logic feature. When this is implemented, it will allow you to implement some kind of mapping where you will able to define which data elements to fill or skip depending on the value of a data element (or diagnosis type).
---
Thank you,
Abyot.
On Sat, Mar 7, 2015 at 3:54 PM, Nami Ghadri <nami_ghadri@xxxxxxxxxxx> wrote:
Thanks for replaying
But could you give me a little bit more detail
Thanks very much
From: Knut Staring [mailto:knutst@xxxxxxxxx]
Sent: Saturday, March 7, 2015 4:46 PM
To: Nami Ghadri
Cc: DHIS 2 developers; dhis2-users@xxxxxxxxxxxxxxxxxxx
Subject: Re: [Dhis2-devs] patients daily log (data elements mapped to each other)
You could perhaps try to use dataelement attributes where the value of the attributes are the UIDs of the mother data elements. That would create a link in the database, but you would probably have to write bespoke queries
On Mar 7, 2015 7:46 PM, "Nami Ghadri" <nami_ghadri@xxxxxxxxxxx> wrote:
Hello every body
I have a case and I tried for over than one month to solve but I could not
I need to log daily patients visit
I the visit the patient get
- Medical services
- Diagnosis of the disease
- Medicine
We should log each data element of the above mapped to each other so we can
monitor what services offered in specific diagnosis and what medicine was
given to specific diagnosis
Most of time we give 3 or medicine mapped to one diagnosis or one or more
diagnosis to one or more medicine or one or more service to one or more
diagnosis
So it's one to many relation and one to one
I tried adapting the above using program (multiple events with registration)
with one stage but there was no mapping between the data elements
I tried the (multiple events with registration) with multiple stages (stage
for each of the required data elements) but in event visualizer I could not
filter because it only show one stage at a time
Any ideas or guidelines I would be thankful
Nami Ghadri
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