tutkimuksentekotapa

[piotor87]

CodeId;Abbreviation;ShortName;LongName;BeginningDate;ExpiringDate;LastModifiedDate;LastModifiedBy;Status;Description;OID;CreatedDate;ALONG:Beskrivning;A:Långt_namn
1;Laboratorio;Laboratorio;Laboratorio;01.01.2014;31.12.2099;12.02.2024;Niska, Päivö;1;mittaus on tehty tai tutkimusnäyte on analysoitu laboratoriossa tai laboratorio-olosuhteissa;;12.10.2014;mätningen har utförts eller undersökningsprovet har analyserats i ett laboratorium eller under laboratorieförhållanden;Laboratorium
2;Vierimittaus;Vierimittaus;Vierimittaus;01.01.2014;31.12.2099;12.02.2024;Niska, Päivö;1;mittaus tai tutkimus on tehty potilaan hoitotilassa;;12.10.2014;mätningen eller undersökningen har utförts i patientens vårdutrymme;Patientnära mätning
3;Omamittaus;Omamittaus;Omamittaus;01.01.2014;31.12.2099;12.02.2024;Niska, Päivö;1;potilas on tehnyt mittauksen itse;;12.10.2014;patienten har utfört mätningen själv;Egenmätning

https://koodistopalvelu.kanta.fi/codeserver/pages/classification-view-page.xhtml?classificationKey=1263&versionKey=1463

[piotor87]

Just worth taking a look at thi scolumn since i think we never really considered it. Although it seems like it's fairly uninteresting:

Value	Count
3	128
2	213177
1	72026661
NA	185975896

[piotor87]

Addressed here

kanta_lab_preprocessing/src/kanta/config.py

Lines 93 to 98 in da64e80

	MEASUREMENT_METHOD_MAP = {
	"1": "LAB",
	"2": "POC",
	"3": "SELF",
	}

and here

kanta_lab_preprocessing/src/kanta/engine/filters/filter_minimal.py

Lines 152 to 157 in da64e80

	def map_measurement_method(df: pd.DataFrame) -> pd.DataFrame:
	"""Map MEASUREMENT_METHOD codes to a short English label."""
	df["MEASUREMENT_METHOD"] = (
	df["MEASUREMENT_METHOD"].map(config.MEASUREMENT_METHOD_MAP).fillna("NA")
	)
	return df