Patient-Facts: Multi-Site, Anomaly Detection, Cross-Sectional Analysis


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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. It provides a screen shot of anomalous proportion of patients and clinical data for multiple sites.
dc.identifier.urihttps://hdl.handle.net/20.500.14642/747
dc.identifier.urihttps://doi.org/10.24373/pdsp-418
dc.publisherPEDSnet
dc.relation.urihttps://github.com/ssdqa/patientfacts
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.subjectCross-Sectional Analysis
dc.subjectPerson-Level Analysis
dc.titlePatient-Facts: Multi-Site, Anomaly Detection, Cross-Sectional Analysis
dspace.entity.typeDQCheck
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 nineteen columns of data: <br> | Column | Data Type | Definition | |-------------------|-----------|-------------------------------------------------------------------------------------------| |`site` | character | the name of the site being targeted | |`domain` | character | string indicating the domain | |`visit_type` | character | string indicating the visit type | |`tot_pt` | numeric | the total number of patients in the cohort at the site | |`n_pt_fact` | numeric | the number of patients at the site with the domain of interest | |`prop_pt_fact` | numeric | the proportion of patients at the site with the domain of interest | |`mean_val` | numeric | the mean proportion of patients for each group across sites | |`median_val` | numeric | the median proportion of patients for each group across sites | |`sd_val` | numeric | the standard deviation of the proportion of patients for each group across sites | |`mad_val` | numeric | the median absolute deviation of the proportion of patients for each group across sites | |`cov_val` | numeric | the coefficient of variance of the proportion of patients for each group across sites | |`max_val` | numeric | the maximum proportion of patients for each group across sites | |`min_val` | numeric | the minimum prorportion of patients for each group across sites | |`range_val` | numeric | the range of the proportion of patients for each group across sites | |`total_ct` | numeric | the total number of group members | |`analysis_eligible` | character | a string indicating whether the group is eligible for anomaly detection analysis | |`lower_tail` | numeric | the lower bound used to identify low anomalies | |`upper_tail` | numeric | the upper bound used to identify high anomalies | |`anomaly_yn` | character | a string indicating whether the value is anomalous or not | {.dqcheck-table}
local.description.vizThis check outputs a dot plot representing anomalous proportions of patients with a given fact type for the user selected visit type. The shape of the dot represents whether the point is anomalous, the color of the dot represents the proportion of patients for a given domain, and the size of the dot represents the mean proportion across all sites (MAD). Hovering over the graph provides metadata about each data points including domain, site, proportion, mean proportion, median proportion and MAD.
local.dqcheck.categoryCompleteness
local.dqcheck.clinicalprobeClinical Follow-Up
local.dqcheck.clinicalprobeUtilization Patterns
local.dqcheck.measurementHotspots Outlier Detection
local.dqcheck.probeInformation Density
local.dqcheck.probeExternal Benchmarking
local.dqcheck.probeMissing Expected Data
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.vizDot and Star Plot
relation.isCodeOfDQCheck929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isCodeOfDQCheck.latestForDiscovery929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isDQResultOfDQCheck120a929a-913e-4517-a821-136bfb233a31
relation.isDQResultOfDQChecke55f1839-fedf-4f72-8986-7e9e738e4a6c
relation.isDQResultOfDQCheck41110767-db55-46ab-b604-847005cfe302
relation.isDQResultOfDQCheckfdab4118-ae13-4eaf-9786-da03c65b0d0f
relation.isDQResultOfDQCheck.latestForDiscovery120a929a-913e-4517-a821-136bfb233a31

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Patient Facts