load_med | R Documentation |
Loads medication order detail information into the R environment, both Med and Mee files.
load_med(
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 Med.txt or Mee.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 medication order 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 enc 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 enc 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().
string, Unique identifier of the record/visit, displayed in the following format: Source System - Institution Number, corresponds to Encounter_number in RPDR.
POSIXct, Completion status of the requested test/transfusion. Converted to POSIXct format, corresponds to Medication_Date in RPDR.
string, To clarify when patients may have stopped taking a medication, this column provides the statuses of 'Listed' or 'Removed'. This is provided on pre-Epic (LMR) medication dates (1997-2017). The 'Listed' value denotes that a medication was on the patient's medication list on the date indicated. The 'Removed' value denotes that a medication was removed from a patient's medication list on the date indicated. Corresponds to Medication_Date_Detail in RPDR.
string, Name of the medication. This may be appended with the source system in the case of OnCall and LMR medications, corresponds to Medication in RPDR.
string, Medication code associated with the "Code_type" value, corresponds to Code in RPDR.
string, Standardized classification system or custom source value used to identify the medication, corresponds to Code_Type in RPDR.
string, Number of units of the medication ordered, corresponds to Quantity in RPDR.
string, Ordering provider for the medication, corresponds to Provider in RPDR.
string, Specific department/location where the medication was ordered or administered, corresponds to Clinic in RPDR.
string, Facility where the medication was ordered or administered, corresponds to Hospital in RPDR.
string, Identifies whether the medication was ordered with an Inpatient or Outpatient indication, corresponds to Inpatient_Outpatient in RPDR.
string, Additional administration information about the medication, corresponds to Additional_Info in RPDR.
## Not run:
#Using defaults
d_med <- load_med(file = "test_Med.txt")
#Use sequential processing
d_med <- load_med(file = "test_Med.txt", nThread = 1)
#Use parallel processing and parse data in MRN_Type and MRN columns and keep all IDs
d_mee <- load_med(file = "test_Mee.txt", nThread = 20, mrn_type = TRUE, perc = 1)
## End(Not run)
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