I’d like to join.
My E-mail: lucid900921@naver.com
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Hi, Please add me, too!!
(kite80@ajou.ac.kr)
I’d like to join the WG. Thank you.
bacojun@ajou.ac.kr
Friends from ajou.ac.kr: Are you sure you all want to come? We are planning on doing it in all-day workshops with physical presence in the Eastern Standard Time zone. Do you all want to travel?
Count me in as well.
Do you have the full thing? Could be good for the THEMIS discussions. Even though some of the choices are debatable.
Hi @Christian_Reich, could you please add me to this group? I’d like to join the discussion on how to best and consistently capture pregnancy episodes and mother-child linkages, among things.
Are we keeping a list of issues that need to be resolved in the THEMIS group? I have some items to add
Melanie
What do you have? The list is spread over the 4 groups at http://www.ohdsi.org/web/wiki/doku.php?id=projects:workgroups:themis.
I am mapping source EHR social history concepts to OMOP. Some of the social history concepts (i.e. alcohol, tobacco, illicit drug use, sexual activity) are in the Observation & Measurement domain, some are Condition_Occurrences, but aren’t true “conditions”. We need conventions on which standard concepts to use, more standard concepts to represent source values and maybe some “suggested” concept sets. There are many standard concepts to choose from to represent the fact that a person drinks alcohol. And no standard concepts to represent their denial of illicit drug use.
Also, I am using the Fact_Relationship table to link two Observation_ids together or a Condition_Occurrence_id to an Observation_id. However, there are only 10 standard Relationship concepts and none are appropriate.
I’m sure I’ll come up with more examples as I work through our social history source data.
Standardization of observation from survey data or social history in EHR is what I needed for a long time. In Korea, many hospitals want to convert their health examination data into CDM, too (@whk) . Main obstacle for this is mapping social and medical history.
So, I absolutely agree with @MPhilofsky 's idea!
And I want to add some of my opinions or questions about observation mapping:
The dose unit for amount of alcohol should be standardized, too
In Korea, many survey asks ‘how many cup of ‘soju’ do you drink?’. ‘soju’ is Korean local alcohol. So, I converted the dose unit for alcohol history into ‘unit of alcohol’. I think the dose unit for alcohol history about wines, beers and whiskeys should be standardized for future research, too.
The concept_id I used
I would be not easy to read, but I mapped some social and medical history of Korean national survey data(here).
The below is the concept_ids I used for social history:
Tabacoo
4276526 Cigarette smoker
4222303 Non-smoker
4310250 Ex-smoker
(I couldn’t find ‘current smoker’)
40766929 How many cigarettes do you smoke per day now [PhenX]
40766930 On the average of the entire time you smoked, how many cigarettes did you smoke per day [PhenX]
40766364 How many cigarettes per day do, or did, you smoke [PhenX]
Alcohol
40771103 How often do you have a drink containing alcohol [SAMHSA]
3037705 Alcoholic drinks per drinking day - Reported
Exercise
4036426 Frequency of exercise
2.history of previous medical condition vs. family history:
the current SNOMED concept_id for family history has both concept_ids for ‘No FH’ and ‘FH’
(eg, concept_id=4053372, concept_name= No FH: Hypertension
vs
concept_id=4050816, concept_name = FH: Hypertension)
But it is not easy to find ‘has no history of medical history’ for previous medical conditions
eg, Is there any concept_id for ‘no history of cerebrovascular accident?’( concept_id =4077982, concept_name= History of cerebrovascular accident)
So I applied different strategy for mapping medical history(only existence of medical history is stored) and family history(existence and non-existence of family history are stored)? I think 'without history’is also quite important information. I think this should be standardized, too!
Hello:)
I’m working on SNOMED concepts domain definition right now.
So please, share you ideas what might be changed:
Yesterday, the measurement subgroup of Themis group had a phone call. Some people volunteered for various iteams on our todo list.
I volunteered for measurement concepts and units. If your site would like to help with the effort, we hope to base it on real world data. See the beta network study at this link:
I appreciate your contribution, @Vojtech_Huser
In Korea, as growing number of hospitals is joining the OHDSI, we’re trying to make some ‘standard measurement set’. I expected we can make a set of about 300 measurements, which have clinical or academic importance. And then we will unify the concept_id and unit in Korea OHDSI network for this measurement set.
How do you think about this idea?
Furthermore, I’m converting echocardiography data into OMOP-CDM (to measurement table, of course). I’ll share the concept_ids I used in this work.
Hi,
Just wondering what the meeting plan is moving forward? I saw discussion of another F2F meeting in California after the new year but I didn’t see if the date had been finalized. Are we only doing F2F meetings for the large group and then meeting in the focus groups separately? I saw that focus group #3 had a meeting yesterday but it doesn’t look like the other focus groups have met yet. Are there plans for the other groups to meet as well?
Thanks!
Clair
Hi Clair,
We’ve been doing bi-weekly calls, split up by sub-group: http://www.ohdsi.org/web/wiki/doku.php?id=projects:workgroups:themis. I’m not sure if the meetings are being posted on the OHDSI wiki, but here’s what I do know:
For Group 1, @mvanzandt has been leading it. We are voting on the next call, which should be sometime between Dec 19 and 21.
For Group 3, @Asha_Mahesh has been leading it.
@Asha_Mahesh, Minnie, @Christian_Reich, and @gregk – could the meeting URLs and dates/times be added to the above link?
Thanks,
Ajit
Where is the information about when these meetings are held, and how to participate?