46
NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9, 2015

NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Embed Size (px)

Citation preview

Page 1: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

NPCR/CDCDATA QUALITY

EVALUATION AUDIT

Claudia Cooksie, CTR,RHIT

Quality Assurance and Training Coordinator

OSCaR Fall Educational Workshop

October 9, 2015

Page 2: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

NPCR/CDC

• Develop and enhance statewide cancer registries• Operate registries effectively• Develop model legislation• Establish a computerized reporting and data processing

system • Monitor the completeness, timeliness and quality of data

Page 3: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Oregon State Cancer Registry

DIAGNOSIS YEAR: 2012

Centers for Disease Control and Prevention Department of Health and Human Services

CDC Contract No. 200200827960

Page 4: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Data Quality Evaluation AuditConfidentiality and Security

• All evaluation functions performed under state Confidentiality Statues

• DQE staff signed confidentiality agreements• Only De-identified case files sent• Data used only for evaluation purposes• Data destroyed according to the DQE assurance of

destruction

Page 5: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Data Quality Evaluation AuditPurpose

• Consistency – Interpretation and abstracting

• Identify problems – Data collection and interpretation

• Assess quality of data– Text Documentation– Data Consolidation– Completeness of treatment information

Page 6: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Data Quality Evaluation AuditCriteria for Selection of Cases

• Number of cases: 200 cases• Diagnosis year: Diagnosis year 2012 • State of Residence: Oregon residents only• ICD-O-3 Behavior Code: 2 or 3• Primary Sites:

– Female Breast (C500-C509)– Colon (C180-C189,C26.0)– Rectosigmoid Junction (C199)– Rectum (C209)– Lung (C340-C349)– Prostate (C619)– Corpus Uteri (C540-C549 and C55.9)

Page 7: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Data Quality Evaluation Audit OSCaR Prepared 2 Extract Files

• First File- “Master Extract File”– Consolidated Record (OSCaR)

• Second File-Extract File– Source level documents (raw data files) from

reporting sources

Page 8: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,
Page 9: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Data Quality Evaluation AuditVisual Editing Evaluation Process

• Visual Editing evaluation sample – Included 413 cases abstract-level cases

• All data elements and corresponding text were reviewed for each abstract-level case

• Any abstract-level codes not substantiated by text were recoded by the evaluators

• The recoded fields were used for the re-consolidation process

Page 10: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Data Quality Evaluation AuditReconsolidation Process

• Each abstract-level data element was compared to the corresponding data elements – In the OSCaR “consolidated record”

• Reconsolidation was conducted – Customized CRS Plus Utility

• Data were imported into – MS Access and discrepant data elements were displayed

• Data were provided to OSCaR – Addressed during the reconciliation process

Page 11: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Data Quality Evaluation AuditReconciliation Process

• Database with reconsolidated cases with the visual editing changes were provided to OSCaR

• OSCaR reviewed cases and provided explanations when they disagreed with the evaluators recode

• Evaluators reviewed responses and reversed any recoded data elements resolved by OSCaR

Page 12: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Number of Data Elements and Cases Reviewed by Site

Site

Number of DataElementsReviewed

Number ofCases Reviewed

Colon 336 14Rectum 432 18Lung 800 32Female Breast 2,673 81Corpus Uteri 400 16Prostate 975 39Total 5,616 200

Site

Number of DataElementsReviewed

Number ofCases Reviewed

Percentage ofCases Reviewed

Breast 31 40 20%

Colon 31 39 20%

Corpus Uteri 31 20 10%

Lung 31 40 20%

Prostate 31 30 15%

Rectosigmoid Junction 30 10 5%

Rectum 30 20 10%

Total 215 199

Page 13: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Central Cancer RegistryNPCR Treatment Data Edits

• Purpose– Evaluate reported prognostic and treatment items

for cancer cases with specific tumor characteristics

– If the reported treatment does not appear to be consistent with widely recognized standards of care or cases fail to contain known prognostic characteristics, a warning is generated

Page 14: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

NPCR Treatment Data ChecksExamples

• Radiation with Breast-Conserving Surgery– Checks that radiation is given within one year (365 days) of diagnosis

and fully recorded for non-metastatic breast cancer treated with breast-conserving surgery

• Surgical Treated Non-metastatic Colon Cancer– First-checks that at least 12 lymph nodes are examined in surgically

resected colon cases. Then, for node-positive patients, checks whether chemotherapy is given within 4 months (120 days) of diagnosis and fully recorded

• Radiation with Rectal Cancer Surgery– Reviews whether radiation is given within 6 months (180 days) of

diagnosis and fully recorded for selected non-metastatic rectal cancer surgical patients

Page 15: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Data Quality Evaluation AuditData Items

• Text vs Coded Values• 21 Basic items in the abstract• 30 Treatment data elements• Completeness of treatment

– NPCR “Treatment Data Checks”• Breast• Colon• Rectum

Page 16: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Data Quality Evaluation AuditData Elements-Basic

• Primary site– Subsite

• Laterality• Histology/Behavior• Grade• Date of Diagnosis• Sequence Number-Central

Page 17: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Data Quality Evaluation AuditData Elements-Collaborative Stage

• CS Tumor Size• CS Extension• CS Tumor Size Ext/Eval• Regional Nodes Positive• Regional Nodes Examined• CS Lymph Nodes• CS Metastasis at Diagnosis• Derived SS2000

Page 18: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Data Quality Evaluation Audit Data Elements-SSF’s• CS SSF 1- (Breast) Estrogen Receptor (ER) Assay• CS SSF 2- Progesterone Receptor (PR) Assay• CS SSF 3- Number of + ipsilateral Level I-II axillary LN• CS SSF 8- HER2: IHC Lab Value• CS SSF 9- HER2: IHC Test Interpretation• CS SSF 10- HER2: FISH Lab Value• CS SSF 11- HER2: FISH Test Interpretation• CS SSF 12- HER2: CISH Lab Value• CS SSF 13- HER2: CISH Test Interpretation• CS SSF 14- HER2: Result of Other or unknown test

• CS SSF 2- (Corpus Uteri) Peritoneal Cytology• CS SSF 3- (Prostate) Pathologic Extension• CS SSF 1- (Lung)-Separate tumor nodules-Ipsilateral lung

Page 19: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Data Quality Evaluation AuditData Elements-Treatment data• Date of 1st course RX-CoC• Date of Surgery Primary Site• RX Summary Surgery Primary Site• RX Summary Scope Regional Lymph Node Surgery• Summary Surgery other Regional/Distant• RX Date Radiation• Radiation Regional RX Modality• RX Summ Radiation and Surgery Sequence• RX Date Chemotherapy• RX Date Hormone• RX Date Biological Response Modifier• RX Date Summary Transplant/Endocrine• RX Date Other• RX Summary Other

Page 20: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Graphical Results for Data Accuracy

Page 21: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Frequency of Errors by Primary Site

8

8

10

29

11

17 BreastColonCorpus UteriLungProstateRectosigmoid JunctionRectum

Total = 74 Major Errors

Page 22: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Frequency of Major Errors across All Sites

8

7

6

6

6

65

3

3

3

3

18

GradeRX Summ—Scope Reg LN SurCS Site-Specific Factor 1Derived SS2000Date of 1st Crs RX--CoCRX Date – SurgeryRX Date—ChemoCS ExtensionRX Date—RadiationRX Summ—Surg/Rad SeqRX Date—HormoneOther

Page 23: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Percent of Error-Free Cases by Data Element by Primary Site

Gra

de

RX Sum

m—

Scope

Reg

LN S

ur

Derive

d SS20

00

Date

of 1

st C

rs R

X--CoC

RX Dat

e –

Surge

ry

RX Dat

e—Che

mo

CS Exte

nsion

RX Dat

e—Rad

iation

RX Sum

m—

Surg/

Rad S

eq

RX Dat

e—Hor

mon

e85.00%

90.00%

95.00%

100.00% 97.50% 97.50%

100.00% 100.00%

97.50%

100.00% 100.00%

97.50%

100.00%

92.50%

Breast

Page 24: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Percent of Error-Free Cases by Data Element by Primary Site

Grade

RX Sum

m—

Scope

Reg

LN S

ur

Derive

d SS20

00

Date

of 1

st C

rs R

X--CoC

RX Dat

e –

Surge

ry

RX Dat

e—Che

mo

CS Ext

ensio

n

RX Dat

e—Rad

iatio

n

RX Sum

m—

Surg/

Rad S

eq

RX Dat

e—Hor

mon

e75.00%

80.00%

85.00%

90.00%

95.00%

100.00%

ColonRectosigmoidRectum

Page 25: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Percent of Error-Free Cases by Data Element by Primary Site

Grade

RX Sum

m—

Scope

Reg

LN S

ur

CS Site

-Spe

cific

Facto

r 1

Derive

d SS20

00

Date

of 1

st C

rs R

X--CoC

RX Dat

e –

Surge

ry

RX Dat

e—Che

mo

CS Ext

ensio

n

RX Dat

e—Rad

iatio

n

RX Sum

m—

Surg/

Rad S

eq

RX Dat

e—Hor

mon

e75.00%

80.00%

85.00%

90.00%

95.00%

100.00%

LungProstateCorpus Uteri

Page 26: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Accuracy RateConsolidated Data Elements

Data Accuracy (%)=

100 subtract

(100* Number of Data Elements with Discrepancies Divided by Total Number of Data Elements)

Accuracy Rate for OSCaR = 98.8%

100 - (74/6139) * 100= 98.8%

Page 27: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Abstracting PracticesText vs Code

• Text documentation is required for all coded data elements

• This is the process by which the central registry must validate each abstract submitted.

• Example- 65 yr old white female-– justifies age, sex and race in only a few words!

Page 28: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Abstracting PracticesText vs Code-Grade

• Missed coding specific grade – Text specifically stated the grade

• Review coding guidelines for grading– “low” or “high” grade tumors

• If a lesion is both invasive and in-situ– Code grade for only the invasive portion

• Do not record FIGO grade as histologic grade – FIGO is a three-tier system and does not convert into a

four-tier grading system• Code grade from the Primary site only

– Not from a lymph node or metastatic site

Page 29: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Abstracting PracticesDate of First Course of Treatment• FORDS Manual indicates “For invasive cancers of the

uterus, dilation and curettage is coded as an incisional biopsy (02) under the data item Surgical Diagnostic and Staging Procedure”– This is not considered surgical treatment and should not be

coded as first course of treatment

• Original dates were found to be blank when the text indicated patients either received chemotherapy, had lymph node biopsies, or the decision not to treat was documented– The FORDS Manual states “If a physician decides not to treat a

patient, the date of first course of treatment is the date this decision was made”

Page 30: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Abstracting Practices- Primary Site-BreastDate of First Surgical Procedure

• Review the FORDS rules for recording the “Date of First Surgical Procedure of Primary site”• Surgery of Primary Site• Scope of Regional Lymph Node Surgery• Surgical Procedure/Other Site

• If any of these procedures are performed, the Date of Surgery should be the EARLIEST date of any of these procedures occurred• Example: In Breast, if an axillary lymph node biopsy is performed prior

to definitive surgery (after the initial biopsy), the date of the axillary lymph node biopsy becomes the date of the first surgical procedure and recorded in the “Scope of lymph node surgery” field and the date of first course treatment field.

Page 31: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Abstracting PracticesRegional Nodes Pos/Examined

• Regional Lymph Nodes Positive and Regional Lymph Nodes examined were switched between the two data items– 00/98 when should be 98/00

• Run/Pass Edits

Page 32: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Abstracting PracticesRegional Nodes Pos/Examined

• Question- If AJCC lists a lymph node as Regional and Summary Stage lists the lymph node as Distant, how do we code Regional Lymph Nodes Positive and Regional lymph nodes examined?– This question was answered on September 3, 2015 NAACCR

Webinar on “Coding Pitfalls”– FORDS Manual in “Scope of Regional LN Surgery” section-

“Refer to the current AJCC Cancer Staging Manual for site-specific identification of regional lymph nodes”

• Answer- When there is a difference between the two standard setters on regional lymph nodes, defer to AJCC

Page 33: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Abstracting Practices- Primary Site-BreastScope of LN surgery-Example

• A patient with a breast primary has a fine needle aspiration (FNA) of an axillary lymph node. The FNA would be coded as:– A) Diagnostic Staging Procedure– B) Surgical Procedure Primary Site– C) Scope of Regional Lymph node surgery– D) Surgical Procedure/Other Site

• Patient with a breast primary undergoes an excisional biopsy of a cervical lymph node, the excisional biopsy would be coded as:– A) Diagnostic Staging Procedure– B) Surgical Procedure Primary Site– C) Scope of Regional Lymph node surgery– D) Surgical Procedure/Other Site

Page 34: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Abstracting Practices- Primary Site-BreastSite Specific Factors

• Site Specific Factors 8-9 and 10-14– Her2 values and Interpretation

• IHC• FISH • CISH

Page 35: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Abstracting Practices-Primary Site-BreastCollaborative Stage Tumor Size/Ext Eval

• Clinical CS Tumor size – Preoperative adjuvant treatment

• Incorrect CS Ext/Eval codes– Preoperative adjuvant treatment

• CS LN codes – Use more specific codes

Page 36: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Abstracting Practices-Primary Site-BreastSurgery Primary Site Coding

• Coded as “50” (Modified Radical Mastectomy)– Use more inclusive code of:

• Without removal of uninvolved contralateral breast (51-56)

• With removal of uninvolved contralateral breast (52-63)

Page 37: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Abstracting Practices-Primary Site-BreastGrade

• Record the highest grade of tumor regardless of specimen size– Grade used in resection was lower than the grade in the

biopsy• Use the highest grade regardless of specimen size

– if the lesion is both invasive and in situ code • Grade only from the invasive component (FORDS)

Page 38: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Abstracting Practices-Primary Site-ColonMiscellaneous

• Code CS Tumor Size from Primary site not from a metastatic site

• Partial resection liver due to metastases is considered “Surgery Procedure/Other Site” – FORDS describes as “surgical removal of distant lymph node(s) or other

tissue(s) or organ(s) beyond the primary site”

• If chemotherapy is recommended, but unknown if administered or the treatment was delayed with no further information, use code “88”

Page 39: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Abstracting Practices-Primary Site-ColonSurgery/Radiation Sequence

• If the patient undergoes an exploratory laparotomy and the decision that no additional surgery would be recommended, impacts Surgery/Radiation sequence– The exploratory lap is not considered surgery of the

primary site. If no surgery was performed, then sequence of surgery/radiation would equal zero.

Page 40: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Abstracting Practices-Primary Site-ColonMiscellaneous edits

• CS Extension– Subserosal fat invasion confused with pericolic fat invasion

• Changes Stage (Localized vs Regional Dir Ext)

• Surgery Primary Site– Coding a partial colectomy (30) when it should be

hemicolectomy (40)

• Surgery Primary Site and Date First Course Treatment– If polypectomy is done with negative margins and then followed

by a part Colectomy, date of first course should be polypectomy

• Missed coding specific grade – Text indicated Moderately or Poorly Differentiated

Page 41: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Abstracting Practices-RectoSigmoid JunctionPrimary site Code

• An illustrated reference for mapping the colon, Rectosigmoid and Rectum by centimeters may be helpful to insure accurate coding – When the pathology report describes the mass as 6cm from the

anus or if the mass is located 6-8cm from the dentate line. The rectum occupies the space between 4-16 cm from the anus.

Page 42: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,
Page 43: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Training Resources• http://en.wikipedia.org/wiki/List_of_medical_abbreviations• http://seer.cancer.gov/tools/codingmanuals/index.html• http://seer.cancer.gov/seerinquiry/index.php• http://www.facs.org/cancer/coc/fordsmanualolder.html• http://afritz.org/freetools/index.htm• http://cancerbulletin.facs.org/forums/forum.php• http://apps.who.int/classifications/apps/icd/icd10online/• http://www.findacode.com/• http://www.cdc.gov/Cancer/npcr/tools/registryplus/rpoh_tech_info.htm• http://home.comcast.net/~wnor/• http://www.cancer.gov/• http://www.nccn.org/index.asp• https://cancerstaging.org/cstage/schema/Pages/version0205.aspx• http://www.cap.org/apps/cap.portal?_nfpb=true&cntvwrPtlt_actionOverride=

%2Fportlets%2FcontentViewer%2Fshow&_windowLabel=cntvwrPtlt&cntvwrPtlt%7BactionForm.contentReference%7D=committees%2Fcancer%2Fcancer_protocols%2Fprotocols_index.html&_state=maximized&_pageLabel=cntvwr

Page 44: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

OSCaR and Registrars

Page 45: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,

Questions?

[email protected]

Page 46: NPCR/CDC DATA QUALITY EVALUATION AUDIT Claudia Cooksie, CTR,RHIT Quality Assurance and Training Coordinator OSCaR Fall Educational Workshop October 9,