load_lab | R Documentation |
Loads laboratory results into the R environment, both Lab and Clb files.
load_lab(
file,
merge_id = "EMPI",
sep = ":",
id_length = "standard",
perc = 0.6,
na = TRUE,
identical = TRUE,
nThread = parallel::detectCores() - 1,
mrn_type = FALSE
)
file |
string, full file path to Lab.txt or Clb.txt. |
merge_id |
string, column name to use to create ID_MERGE column used to merge different datasets. Defaults to EPIC_PMRN, as it is the preferred MRN in the RPDR system. |
sep |
string, divider between hospital ID and MRN. Defaults to :. |
id_length |
string, indicating whether to modify MRN length based-on required values id_length = standard, or to keep lengths as is id_length = asis. If id_length = standard then in case of MGH, BWH, MCL, EMPI and PMRN the length of the MRNs are corrected accordingly by adding zeros, or removing numeral from the beginning. In other cases the lengths are unchanged. Defaults to standard. |
perc |
numeric, a number between 0-1 indicating which parsed ID columns to keep. Data present in perc x 100% of patients are kept. |
na |
boolean, whether to remove columns with only NA values. Defaults to TRUE. |
identical |
boolean, whether to remove columns with identical values. Defaults to TRUE. |
nThread |
integer, number of threads to use to load data. |
mrn_type |
boolean, should data in MRN_Type and MRN be parsed. Defaults to FALSE, as it is not advised to parse these for all data sources as it takes considerable time. |
data table, with laboratory exam information.
numeric, defined IDs by merge_id, used for merging later.
string, Unique Partners-wide identifier assigned to the patient used to consolidate patient information from lab datasource, corresponds to EMPI in RPDR. Data is formatted using pretty_mrn().
string, Epic medical record number. This value is unique across Epic instances within the Partners network from lab datasource, corresponds to EPIC_PMRN in RPDR. Data is formatted using pretty_mrn().
string, if mrn_type == TRUE, then the data in MRN_Type and MRN are parsed into IDs corresponding to locations (loc). Data is formatted using pretty_mrn().
POSIXct, Date when the specimen was collected, corresponds to Seq_Date_Time in RPDR. Converted to POSIXct format.
string, Higher-level grouping concept used to consolidate similar tests across hospitals, corresponds to Group_ID in RPDR.
string, Standardized LOINC code for the laboratory test, corresponds to Loinc_Code in RPDR.
string, Internal identifier for the test used by the source system, corresponds to Test_ID in RPDR.
string, Name of the lab test, corresponds to Test_Description in RPDR.
string, Result value for the test, corresponds to Result in RPDR.
string, Additional information included with the result. This can include instructions for interpretation or comments from the laboratory, corresponds to Result_Text in RPDR.
string, Flag for identifying if values are outside of normal ranges or represent a significant deviation from previous values, corresponds to Abnormal_Flag in RPDR.
string, Units associated with the result value, corresponds to Reference_Unit in RPDR.
string, Normal or therapeutic range for this value, corresponds to Reference_Range in RPDR.
string, Reference range of values defined as being toxic to the patient, corresponds to Toxic_Range in RPDR.
string, Type of specimen collected to perform the test, corresponds to Specimen_Type in RPDR.
string, Free-text information about the specimen, its collection or its integrity, corresponds to Specimen_Text in RPDR.
string, Free-text information about any changes made to the results, corresponds to Correction_Flag in RPDR.
string, Flag which indicates whether the procedure is pending or complete, corresponds to Test_Status in RPDR.
string, Name of the ordering physician, corresponds to Ordering_Doc in RPDR.
string, Internal tracking number assigned to the specimen for identification in the lab, corresponds to Accession in RPDR.
string, Database source, either CDR (Clinical Data Repository) or RPDR (internal RPDR database), corresponds to Source in RPDR.
## Not run:
#Using defaults
d_lab <- load_lab(file = "test_Lab.txt")
#Use sequential processing
d_lab <- load_lab(file = "test_Lab.txt", nThread = 1)
#Use parallel processing and parse data in MRN_Type and MRN columns and keep all IDs
d_clb <- load_lab(file = "test_Clb.txt", nThread = 20, mrn_type = TRUE, perc = 1)
## End(Not run)
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