Patient-Facts: Multi-Site, Anomaly Detection, Longitudinal Analysis


Simple item page
dc.contributorPatient-Centered Outcomes Research Institute
dc.contributor.authorPEDSnet Data Coordinating Center
dc.contributor.otherPEDSnet Data Coordinating Center
dc.date.accessioned2024-07-30T19:37:11Z
dc.date.created2024-06-05
dc.description.abstractThis check assesses how much clinical data is available for patients accross time. It provides a high level summary of anomalous/outlier clinical data for multiple sites. The number of clinical events per year of follow-up for each patient in a cohort is computed and stratified by visit type.
dc.identifier.urihttps://hdl.handle.net/20.500.14642/748
dc.identifier.urihttps://doi.org/10.24373/pdsp-416
dc.publisherPEDSnet
dc.rightsa CC-BY Attribution 4.0 License.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0
dc.subjectMulti-Site Analysis
dc.subjectData Anomaly Method
dc.subjectLongitudinal Analysis
dc.subjectPerson-Level Analysis
dc.titlePatient-Facts: Multi-Site, Anomaly Detection, Longitudinal Analysis
dspace.entity.typeDQCheck
local.code.githubhttps://github.com/ssdqa/patientfacts
local.code.package# install.packages("devtools") devtools::install_github('ssdqa/https://github.com/ssdqa/patientfacts')
local.description.rawThe raw data output of this check produces ten columns of data: <br> | Column | Data Type | Definition | |------------------|-----------|--------------------------------------------------------------------------------------------------------------------------------------------------| |`site` | character | the name of the site being targeted | |`time_start` | date | the start of the time period being examined | |`visit_type` | character | string indicating the visit type | |`domain` | character | string indicating the domain | |`prop_pts_fact` | numeric | the proportion of patients with the domain of interest out of all patients with a visit of the visit type of interest during the time period | |`mean_allsiteprop` | numeric | the average patient proportion across sites | |`median` | numeric | the median patient proportion across sites | |`date_numeric` | numeric | the numeric equivalent of time_start | |`site_loess` | numeric | the patient proportion with Loess regression applied | |`dist_eucl_mean` | numeric | the Euclidean distance of site_loess from mean_allsiteprop | {.dqcheck-table}
local.description.vizThis check outputs three visualizations to display the Euclidean distance between two time series: the smoothed (Loess) proportion of a user-selected variable for a given site, and the average proportion of all sites. Two line graphs (one smoother, one raw) represent the proportion of the variable at each site over time. Sites are differentiated by color, and a thick red line represente the All Site Average. A circular bar graph displays the Euclidean distance from the all-site mean where the color represents the average Loess proportion over time.
local.dqcheck.categoryCompleteness
local.dqcheck.categoryConsistency
local.dqcheck.clinicalprobeClinical Follow-Up
local.dqcheck.clinicalprobeUtilization Patterns
local.dqcheck.measurementEuclidean Distance
local.dqcheck.probeInformation Density
local.dqcheck.probeExternal Benchmarking
local.dqcheck.probeTemporality Consistency Check
local.dqcheck.probeMissing Expected Data
local.dqcheck.probeAnomalous Values from Internal Distributions
local.dqcheck.requirementcohort
local.dqcheck.requirementstudy_name
local.dqcheck.requirementpatient_level_tbl
local.dqcheck.requirementvisit_types
local.dqcheck.requirementomop_or_pcornet
local.dqcheck.requirementmulti_or_single_site
local.dqcheck.requirementtime
local.dqcheck.requirementtime_span
local.dqcheck.requirementtime_period
local.dqcheck.requirementp_value
local.dqcheck.requirementage_groups
local.dqcheck.requirementanomaly_or_exploratory
local.dqcheck.requirementdomain_tbl
local.dqcheck.requirementvisit_type_table
local.dqcheck.typeCohort Fitness
local.dqcheck.vizLine Graph
local.dqcheck.vizRadial Bar Graph
relation.isCodeOfDQCheck929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isCodeOfDQCheck.latestForDiscovery929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isDQResultOfDQCheckfd186c83-1443-454c-b56c-62f2c1ba84b7
relation.isDQResultOfDQCheck7467dc6e-1e6e-449e-b139-4049f6543011
relation.isDQResultOfDQCheck413c0034-caa5-47e0-bdbc-8d6452642b17
relation.isDQResultOfDQCheck.latestForDiscoveryfd186c83-1443-454c-b56c-62f2c1ba84b7

Files

Original bundle

Now showing 1 - 2 of 2
Thumbnail Image
Name:
pf_ms_anom_la1.png
Size:
248.5 KB
Format:
Portable Network Graphics
Description:
Note: Data was generated for this example from a synthetic dataset.
Download
Thumbnail Image
Name:
pf_ms_anom_la2.png
Size:
262.09 KB
Format:
Portable Network Graphics
Description:
Note: Data was generated for this example from a synthetic dataset.
Download

Domains

Patient Facts