# ---
# title: Medical Codes
# ---
library(readxl)
#library(rmarkdown)
library(printr)
## Registered S3 method overwritten by 'printr':
## method from
## knit_print.data.frame rmarkdown
options(width=80)
### "-----------------------------------"
xl <-
"C:/zz/data/xlsx/2019 HEDIS for the Quality Rating System VSD 10_01_2018.xlsx"
df <- read_excel(xl , sheet = "Summary of Changes - Codes")
attach(df)
knitr::kable( summary(df))
|
Length:9159 |
Length:9159 |
Length:9159 |
Length:9159 |
Length:9159 |
|
Class :character |
Class :character |
Class :character |
Class :character |
Class :character |
|
Mode :character |
Mode :character |
Mode :character |
Mode :character |
Mode :character |
knitr::kable( names(df))
| Value Set |
| Change |
| Code System |
| Code |
| Revised |
# [1] "Value Set" "Change" "Code System" "Code" "Revised"
knitr::kable( table(`Value Set`,Change))
| Absence of Cervix |
1 |
0 |
| Acute Condition |
60 |
8673 |
| AOD Abuse and Dependence |
1 |
0 |
| BH Outpatient |
1 |
0 |
| Bilateral Modifier |
0 |
1 |
| BMI |
0 |
1 |
| BMI Percentile |
0 |
1 |
| Comorbid Conditions |
0 |
1 |
| Competing Diagnosis |
2 |
1 |
| Cytomegalovirus Antibody |
0 |
2 |
| Chemical Dependency |
11 |
0 |
| Chlamydia Tests |
11 |
11 |
| Diabetes |
2 |
1 |
| Diabetes Exclusions |
0 |
1 |
| Diabetic Retinal Screening |
0 |
1 |
| Diagnostic Radiology |
7 |
6 |
| Encephalopathy Due To Vaccination |
1 |
1 |
| ESRD |
3 |
0 |
| Hepatitis B |
0 |
1 |
| IET Stand Alone Visits |
1 |
0 |
| Imaging Study |
0 |
1 |
| Intentional Self-Harm |
3 |
0 |
| IV Drug Abuse |
4 |
1 |
| Major Depression |
0 |
1 |
| Malignant Neoplasm of Lymphatic Tissue |
4 |
1 |
| Malignant Neoplasms |
12 |
0 |
| Measles |
0 |
1 |
| Meningococcal Vaccine Administered |
2 |
0 |
| Mental Health Diagnosis |
4 |
0 |
| Mental Illness |
3 |
0 |
| Mumps |
0 |
1 |
| Neurologic Impairment |
0 |
1 |
| Non-live Births |
12 |
1 |
| Nonacute Inpatient Stay |
0 |
3 |
| Organ Transplant Other Than Kidney |
6 |
0 |
| Other Drug Abuse and Dependence |
1 |
0 |
| Other Malignant Neoplasm of Skin |
21 |
0 |
| Other Neoplasms |
12 |
1 |
| Outpatient |
1 |
0 |
| Outpatient POS |
0 |
2 |
| Outpatient Without UBREV |
1 |
0 |
| Perinatal Conditions |
33 |
0 |
| Potentially Planned Procedures |
46 |
0 |
| Pregnancy |
75 |
1 |
| Pregnancy Diagnosis |
57 |
1 |
| Prenatal Visits |
1 |
0 |
| Pharyngitis |
0 |
1 |
| Rh |
1 |
0 |
| Rubella |
0 |
1 |
| Rubella Antibody |
1 |
0 |
| Sexual Activity |
19 |
0 |
| Spinal Infection |
0 |
1 |
| Toxoplasma Antibody |
1 |
0 |
| Trauma |
1 |
1 |
| Uncomplicated Low Back Pain |
2 |
1 |
| URI |
0 |
1 |
| Vaccine Causing Adverse Effect |
1 |
1 |
| Varicella Zoster |
0 |
1 |
| Well-Care |
2 |
6 |
knitr::kable( table( `Code System`, Change))
| CPT |
16 |
9 |
| CVX |
2 |
0 |
| ICD10CM |
340 |
8678 |
| ICD10PCS |
52 |
0 |
| ICD9CM |
3 |
27 |
| LOINC |
14 |
13 |
| POS |
0 |
2 |
| UBTOB |
0 |
3 |
#knitr::kable(table(Change, `Revised`))
## "-----------------------------------"
df <- read_excel(xl , sheet = "Summary of Changes - Value Sets")
attach(df)
## The following objects are masked from df (pos = 3):
##
## Change, Revised
summary(df)
|
Length:63 |
Length:63 |
Length:63 |
Mode:logical |
|
Class :character |
Class :character |
Class :character |
NAβs:63 |
|
Mode :character |
Mode :character |
Mode :character |
NA |
names(df)
## [1] "Value Set Name" "Change" "Description" "Revised"
# [1] "Value Set Name" "Change" "Description" "Revised"
table(`Value Set Name`, Change)
| Acute Condition |
1 |
0 |
0 |
| Acute Inpatient |
1 |
0 |
0 |
| ADD POS Group 1 |
0 |
1 |
0 |
| ADD POS Group 2 |
0 |
1 |
0 |
| ADD Stand Alone Visits |
0 |
1 |
0 |
| ADD Visits Group 1 |
0 |
1 |
0 |
| ADD Visits Group 2 |
0 |
1 |
0 |
| Advanced Illness |
1 |
0 |
0 |
| Ambulatory Surgical Center POS |
1 |
0 |
0 |
| AMM POS |
0 |
1 |
0 |
| AMM Stand Alone Visits |
0 |
1 |
0 |
| AMM Visits |
0 |
1 |
0 |
| AOD Medication Treatment |
0 |
0 |
1 |
| BH Outpatient |
1 |
0 |
0 |
| Bone Marrow Transplant |
1 |
0 |
0 |
| Community Mental Health Center POS |
1 |
0 |
0 |
| Chemotherapy |
1 |
0 |
0 |
| Diabetes |
0 |
1 |
0 |
| Diabetes Exclusions |
0 |
1 |
0 |
| Diastolic 80-89 |
1 |
0 |
0 |
| Diastolic Greater Than/Equal To 90 |
1 |
0 |
0 |
| Diastolic Less Than 80 |
1 |
0 |
0 |
| ED |
1 |
0 |
0 |
| ED POS |
1 |
0 |
0 |
| Electroconvulsive Therapy |
1 |
0 |
0 |
| Encephalopathy Due To Vaccination |
1 |
0 |
0 |
| Frailty |
1 |
0 |
0 |
| FUH POS Group 1 |
0 |
1 |
0 |
| FUH POS Group 2 |
0 |
1 |
0 |
| FUH RevCodes Group 1 |
0 |
1 |
0 |
| FUH RevCodes Group 2 |
0 |
1 |
0 |
| FUH Stand Alone Visits |
0 |
1 |
0 |
| FUH Visits Group 1 |
0 |
1 |
0 |
| FUH Visits Group 2 |
0 |
1 |
0 |
| Health and Behavior Assessment/Intervention |
1 |
0 |
0 |
| Inpatient Stay |
1 |
0 |
0 |
| Intentional Self-Harm |
1 |
0 |
0 |
| Introduction of Autologous Pancreatic Cells |
1 |
0 |
0 |
| Kidney Transplant |
1 |
0 |
0 |
| Nonacute Inpatient |
1 |
0 |
0 |
| Nonacute Inpatient Stay |
1 |
0 |
0 |
| Observation |
1 |
0 |
0 |
| Observation Stay |
1 |
0 |
0 |
| Online Assessments |
1 |
0 |
0 |
| Organ Transplant Other Than Kidney |
1 |
0 |
0 |
| Outpatient |
1 |
0 |
0 |
| Outpatient POS |
1 |
0 |
0 |
| Partial Hospitalization POS |
1 |
0 |
0 |
| Partial Hospitalization/Intensive Outpatient |
1 |
0 |
0 |
| Perinatal Conditions |
1 |
0 |
0 |
| Potentially Planned Procedures |
1 |
0 |
0 |
| Pregnancy |
1 |
0 |
0 |
| Rehabilitation |
1 |
0 |
0 |
| Remote Blood Pressure Monitoring |
1 |
0 |
0 |
| Skilled Nursing Stay |
1 |
0 |
0 |
| Systolic Greater Than/Equal To 140 |
1 |
0 |
0 |
| Systolic Less Than 140 |
1 |
0 |
0 |
| Telehealth Modifier |
1 |
0 |
0 |
| Telehealth POS |
1 |
0 |
0 |
| Telephone Visits |
1 |
0 |
0 |
| Transcranial Magnetic Stimulation |
1 |
0 |
0 |
| Vaccine Causing Adverse Effect |
1 |
0 |
0 |
| Visit Setting Unspecified |
1 |
0 |
0 |
table(`Description`, Change)
| Added to: PCR2020 |
12 |
0 |
0 |
| Added to: AAB, CBP, CDC, MMA |
3 |
0 |
0 |
| Added to: ADD |
1 |
0 |
0 |
| Added to: ADD, AMM, BCS, COL, FUH, IET, PCR2020 |
1 |
0 |
0 |
| Added to: ADD, AMM, FUH |
6 |
0 |
0 |
| Added to: AMM |
2 |
0 |
0 |
| Added to: AMM, CDC, FUH, MMA |
1 |
0 |
0 |
| Added to: AMM, FUH |
1 |
0 |
0 |
| Added to: BCS, CBP, CDC, COL |
2 |
0 |
0 |
| Added to: BCS, COL, PCR2020 |
4 |
0 |
0 |
| Added to: CBP |
5 |
0 |
0 |
| Added to: CBP, CDC |
1 |
0 |
0 |
| Added to: FUH |
2 |
0 |
0 |
| Added to: IMA |
2 |
0 |
0 |
| Added to: PCR2020 |
2 |
0 |
0 |
| Deleted from: ADD |
0 |
5 |
0 |
| Deleted from: AMM |
0 |
3 |
0 |
| Deleted from: CBP |
0 |
2 |
0 |
| Deleted from: FUH |
0 |
7 |
0 |
| Formerly named: Medication Assisted Treatment |
0 |
0 |
1 |
table(`Value Set Name`,`Revised`)
## Empty table
#"-----------------------------------"
df <- read_excel(xl , sheet = "QRS Measures to Value Sets")
#View(med_meas)
attach(df)
## The following object is masked from df (pos = 3):
##
## Value Set Name
summary(df)
|
Length:333 |
Length:333 |
Length:333 |
Length:333 |
|
Class :character |
Class :character |
Class :character |
Class :character |
|
Mode :character |
Mode :character |
Mode :character |
Mode :character |
names(df)
## [1] "Measure ID" "Measure Name" "Value Set Name" "Value Set OID"
# [1] "Measure ID" "Measure Name" "Value Set Name" "Value Set OID"
for (c in 1:ncol(df))
#print(head(table(df[c])))
table(`Value Set Name`)
table(`Measure ID`)
| 19 |
4 |
15 |
16 |
18 |
24 |
3 |
30 |
24 |
14 |
6 |
6 |
17 |
3 |
17 |
7 |
22 |
16 |
5 |
17 |
18 |
18 |
7 |
1 |
1 |
5 |
table(`Measure Name`)
| 4 |
5 |
16 |
6 |
7 |
19 |
18 |
3 |
14 |
30 |
24 |
24 |
6 |
17 |
15 |
2 |
7 |
17 |
16 |
1 |
17 |
18 |
18 |
22 |
5 |
1 |
1 |
#"-----------------------------------"
df <- read_excel(xl , sheet = "QRS Value Sets to Codes")
#View(med_code)
# rm(xl_rx)
attach(df)
## The following objects are masked from df (pos = 3):
##
## Value Set Name, Value Set OID
## The following object is masked from df (pos = 4):
##
## Value Set Name
## The following objects are masked from df (pos = 5):
##
## Code, Code System
summary(df)
|
Length:91279 |
Length:91279 |
Length:91279 |
Length:91279 |
Length:91279 |
Length:91279 |
Length:91279 |
Length:91279 |
|
Class :character |
Class :character |
Class :character |
Class :character |
Class :character |
Class :character |
Class :character |
Class :character |
|
Mode :character |
Mode :character |
Mode :character |
Mode :character |
Mode :character |
Mode :character |
Mode :character |
Mode :character |
names(df)
## [1] "Value Set Name" "Value Set OID" "Value Set Version"
## [4] "Code" "Definition" "Code System"
## [7] "Code System OID" "Code System Version"
# [1] "Value Set Name" "Value Set OID" "Value Set Version" "Code" "Definition"
# [6] "Code System" "Code System OID" "Code System Version"
for (c in 1:ncol(df))
#print(head(table(df[c])))
table(`Value Set Name`)
table(`Code System`)
| 1327 |
25 |
44 |
326 |
66745 |
20629 |
976 |
55 |
507 |
9 |
54 |
377 |
205 |