Generalized Claims Data Call Submission

Healthcare Fraud Prevention Partnership (HFPP): Data Sharing and Information Exchange

Instructions TTP Data Call Submission Process PRA Package 411

Generalized Claims Data Call Submission

OMB: 0938-1251

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Generalized Claims Data Call Submission

November 2016

OMB # 0938-1251/Expiration Date: XX/2020

Contents



Introduction

This document provides information regarding the Generalized Claims Data Call Submission for

November 2016, and future generalized submissions. CSRA, the Healthcare Fraud Prevention Partnership (HFPP), Trusted Third Party (TTP), has developed a new process and expanded the set of data elements for submission by partners in order to make it easier for partners to share their data and to strengthen the analytic capability for studies. Appendix C: Reengineering TTP Input Processes contains a summary of the new input process.

The new data elements and input processes will provide partners with a more advantageous means of providing claims data by:

  • Incorporating procedures aimed at reducing the time and effort involved in retrieving claims data elements.

  • Accepting a wide range of input formats for the claims to leverage work that many partners already perform compiling claims data on a regular basis.

  • Refreshing data on the partner’s schedule: weekly, monthly, quarterly or every 6 months.

  • Requesting additional data to include protected health information (PHI) and personally identifiable information (PII) to allow studies to identify suspect activities not previously available to HFPP partners.

  • Operating multiple studies with a goal of providing study outcomes more rapidly and with more current actionable results.

If you have any questions about this process, please contact Tim Carrico, the TTP Study Manager, at 301-219-8557, or by email at [email protected]. Emails may also be submitted to [email protected].

Use of Partner Data

CSRA plans to use the general data submissions from the partners for all of its studies. Specific claims data calls, which target only selected Current Procedural Terminology (CPT) codes, will only be made under special circumstances.

CSRA will perform three different types of studies: new studies that target specific areas of fraud; screening studies where partner data is compared to the latest list of excluded, revoked, or sanctioned providers; and recurring studies which will repeat successful past studies with new iterations of data.

The TTP will maintain a list of planned studies on the portal that will cover all three study types. Studies will also be noted in monthly newsletters and discussed at General Assembly meetings.

Partners who do not want their data used in a particular study may “opt-out” by notifying the TTP Study Team by email at least 5 business days prior to the start date of the study. The opt-out can identify new or recurring studies by name. The partner can also opt-out of the screening studies; this choice will remain in effect until rescinded. If a new study is initiated on short notice, all partners who submit general data will be notified by email at least 15 business days prior to the start of analysis to give them sufficient time to decline to participate.

Detailed Instructions

  • Because of the new flexibility, each partner will need to complete a Data Submission Template for the TTP describing any customizations to the default submission process. The information provided in the Data Submission Template will remain in effect indefinitely, so the partner will only need to submit a new one when information changes. An Excel template for the worksheet is attached. Appendix A: Instructions for Data provides instructions for completing the template.

    • Please submit the completed Data Submission Template to [email protected] as soon as can, but at least two weeks prior to the date that you plan to upload your data. This will allow the TTP to prepare for appropriate mapping of data to preclude errors or other complications which may arise during data ingestion. The CSRA Technical Team will notify the partner when they are ready to receive their claims data.

  • Appendix B: Data Elements contains a list of data elements and their default formats. Partners will be able to document differences between their submission and the defaults in the Data Submission Template.

  • An HFPP partner can securely upload claims data into the CSRA infrastructure through the HFPP Portal or via encrypted physical media.

    • The HFPP Collaboration Portal User’s Manual Guide, located on the main dashboard of the portal (at: https://portal.hfpp-ttp.org), provides details on using the General Data Submission tab, which is also located on the main dashboard. The name of the uploaded file should be:

GDS_Partner_YYYYMMDD_Seq#

The date in the filename is the last day of the month for which claims are being submitted. The sequence number will be “01” for initial files. If resubmissions or replacements are necessary, the Technical Team will provide the sequence number to be used.

      • Note: the new HFPP portal does not have file size restrictions so files do not need to be broken into multiple sub-files for the upload.

    • Alternatively, partners may submit Generalized Claims Data by means of an encrypted and password protected media such as a CD, DVD, flash drive, or external drive.

      • The shipping address for the media and a TTP point of contact will be provided after the partner’s Data Submission Template is received and processed. The partner will provide the media password to the point of contact in a separate email.

  • This first data call request is to include paid claims only for service dates beginning 11/01/2014. All data submissions will end on the last day of the month, so your submission will depend on when and how it is assembled. Follow-on submissions will begin with the first day of the succeeding month.

  • The default format for the file is a Comma Separated Value (CSV) text document with pipe-delimited (“|”) separators for the data elements. We will also accept formats such as JavaScript Object Notation (JSON), Extensible Markup Language (XML), or Excel. Files may be zipped before transmission, if desired. The input format must be described on the Data Submission Template.

Appendix A: Instructions for Data Submission Template

The Data Submission Template is an Excel template attached to this email.

Please provide the contact information for the primary person(s) who will be responsible for processing partner data into the HFPP portal.

The partners will have the latitude to adjust the data submission to best fit their situation. The information should be recorded in the template.

Table 1. File Submission Characteristics

Field

Instructions

Data Submission Media

Default method will be to upload data through the secure HFPP Portal. For very large files, the partner can submit the data on encrypted CD/DVD/hard drive.

Note: the new HFPP portal does not have file size restrictions for uploads.

Data Submission Update Frequency

Based on partner discussion, a default will be monthly updates to the initial set of 2 years of claims. Partners may also submit quarterly or semiannually if desired.

Estimated Date of 1st Data Submission

Initial data loads will begin after November 15, 2016. Partners will be notified when their Data Submission Template has been processed and the portal is available for uploading data.

Data Format

The default format for submission will remain the same as it has been in the past, a pipe-delimited CSV format. Other formats are also available: JavaScript Object Notation (JSON), Extensible Markup Language (XML), or Excel.

Data Element Differences

The default data elements are identified in Appendix B: Data Elements. If you have format differences or will not be including particular data elements, please indicate them on the worksheet.

Member Identification

Please specify whether the Member ID # will be the actual ID or deidentified.

If the Member ID is deidentified, the beneficiary cannot be tracked across multiple submissions from the partner nor across payers (unless the full SSN is provided).

Social Security Number

Please specify whether you will use a full SSN, a partial SSN, or no SSN.

The full SSN is the only way of identifying an individual across multiple payers.

In Appendix B, data elements such as #19, Rendering Provider Specialty, allow partners to provide their specialty code definitions if necessary. These can be added as a new tab on the Data Submission Template.

Appendix B: Data Elements

Table 1 contains the data elements requested for professional claims. Additionally, data element formats listed in the following table are provided as a guideline as formats may vary.

Table 2. CSRA Data Elements and Formats

eq

Professional Data Element

Data Element Description

Format

Expected Values

1

Payer Name

Name of entity

Providing source data

VARCHAR(40)

2

File Type

The type of file being reported. (i.e. professional;

Institutional; Pharmacy,

Dental)

CHAR(2)

Professional=P

Institutional-I

Pharmacy =RX

Dental=D

3

Line of Business

Payer Identifier and Line of Business

VARCHAR(40)

e.g., Medicare, Medicaid,

Private, P&C

4

Claim Number

A unique number assigned by the payment system that identifies an original claim or an adjusted claim.

VARCHAR(20)

5

Claim Line Number

Line number on the claim

INTEGER(3)

6

Member ID

A unique identification number for the member.

VARCHAR(20)

7

Member Social Security Number

Member's social security number (full 9, last 4 numbers, or none).

INTEGER

8

Member Sex

The sex of the member

CHAR(1)

Male= M

Female=F

Unidentified=U

9

Member Date of Birth

Member’s Date of Birth.

DATE

MM/DD/YYYY


eq

Professional Data Element

Data Element Description

Format

Expected Values

10

Member State

Member’s state

CHAR(2)

State

Abbreviation

11

Member Zip Code

Member’s zip code

INTEGER(5)

12

Member DOD

Member’s Date of Death.

DATE

MM/DD/YYYY

13

Rendering Provider

Legal Business

Name

Official name of rendering provider organization or if

individual, in format

LAST SUFFIX, FIRST

MIDDLE

VARCHAR(100)

Example:

Smith, John Allan for an individual

14

Rendering Provider

Doing Business As

Name

Name provider renders services under or is known to public by for organizations or if

individual, in format

LAST SUFFIX, FIRST

MIDDLE

VARCHAR(100)

Example:

Smith, John Allan for an individual

15

Rendering Provider NPI

The NPI for the provider who treated the member (as opposed to the provider “billing” for the service).

INTEGER(10)

16

Rendering Provider TIN

Taxpayer Identification Number for provider who treated the member

INTEGER(10)

17

Rendering Provider EIN

The EIN for the provider who treated the member

INTEGER(10)

18

Rendering Provider Taxonomy

The taxonomy code for the provider who treated the member (as opposed to the provider “billing” for the service).

VARCHAR(10)


eq

Professional Data Element

Data Element Description

Format

Expected Values

19

Rendering Provider Specialty

Code that describes the area of specialty for the

provider treating the member

VARCHAR

Please provide your specialty code definitions

20

Rendering Provider

Practice Address Line 1

US Address line 1 at which provider renders service

VARCHAR(100)

21

Rendering Provider

Practice Address Line 2

US Address line 2 at which provider renders service

VARCHAR(50)

22

Rendering Provider Practice City

US City in which provider renders service

VARCHAR(50)

23

Rendering Provider Practice State

US State in which provider renders service

CHAR(2)

State

Abbreviation

24

Rendering Provider Practice Zip

USPS Zip Code in which provider renders service

INTEGER(5)

25

Billing Provider

Legal Business

Name

Official name of billing provider organization or if individual, in format

LAST SUFFIX, FIRST

MIDDLE

VARCHAR(100)

Example:

Smith, John Allan for an individual

26

Billing Provider

Doing Business As

Name

Name billing provider is known to public by for organizations or if

individual, in format

LAST SUFFIX, FIRST

MIDDLE

VARCHAR(100)

27

Billing Provider TIN

Billing Provider

Taxpayer Identification Number

INTEGER(10)


eq

Professional Data Element

Data Element Description

Format

Expected Values

28

Billing Provider Address Line 1

US Address line 1 that represents the entity billing address

VARCHAR(100)

29

Billing Provider Address Line 2

US Address line 2 that represents the entity billing address

VARCHAR(50)

30

Billing Provider City

US City for billing entity

VARCHAR(50)

31

Billing Provider State

US State for billing entity

CHAR(2)

State

Abbreviation

32

Billing Provider Zip

USPS Zip Code for billing entity

INTEGER(5)

33

Referring Provider

Legal Business

Name

Official name of referring provider organization or if

individual, in format

LAST SUFFIX, FIRST

MIDDLE

VARCHAR(100)

Example:

Smith, John Allan for an individual

34

Referring Provider

Doing Business As

Name

Name referring provider provides services under or is known to public by for organizations or if individual, in format

LAST SUFFIX, FIRST

MIDDLE

VARCHAR(100)

Example:

Smith, John Allan for an individual

35

Referring Provider NPI

NPI of Referring provider

INTEGER(10)

36

Referring Provider TIN

Referring Taxpayer

Identification Number

INTEGER(10)

37

Referring Provider EIN

The EIN for the provider who referred the member

INTEGER(10)


eq

Professional Data Element

Data Element Description

Format

Expected Values

38

Referring Provider

Practice Address Line 1

US Address line 1 at which provider referred service

VARCHAR(100)

39

Referring Provider

Practice Address Line 2

US Address line 2 at which provider referred service

VARCHAR(50)

40

Referring Provider Practice City

US City in which provider referred service

VARCHAR(50)

41

Referring Provider Practice State

US State in which provider referred service

CHAR(2)

State

Abbreviation

42

Referring Provider Practice Zip

USPS Zip Code in which provider referred service

INTEGER(5)

43

Service/Procedure Code

The code per CPT, HCPCS or NDC used to indicate the service provided during the period covered by this claim.

VARCHAR(11)

44

Service/Procedure Code Modifier

The modifier for the service code on this claim record. Modifier can be used to enhance the Service Code

VARCHAR(2)

45

Modifier (2)

The 2nd modifier for the service code on this claim record. Modifier can be used to enhance the Service Code

VARCHAR(2)

46

Modifier (3)

The 3rd modifier for the service code on this claim record. Modifier can be used to enhance the Service Code

VARCHAR(2)


eq

Professional Data Element

Data Element Description

Format

Expected Values

47

Modifier (4)

The 4th modifier for the service code on this claim record. Modifier can be used to enhance the Service Code

VARCHAR(2)

48

Total Units/Quantity of Service

The number of units of service received by the recipient or units dispensed as shown on the claim record.

DECIMAL (5,2)

49

Diagnosis Code 1

The ICD-9-CM/ ICD-10 code for the primary principal diagnosis for this claim. The principal diagnosis is the condition established after study to be chiefly responsible for the admission.

VARCHAR(8)

50

Diagnosis Code 2

Second ICD-9-CM/ ICD-10-CM code found on the claim.

VARCHAR(8)

51

Diagnosis Code 3

The third ICD-9-CM/ ICD-10 -CM codes that appear on the claim.

VARCHAR(8)

52

Diagnosis Code 4

The fourth ICD-9-CM/ ICD-10-CM codes that appear on the claim.

VARCHAR(8)

53

Diagnosis Type Code

Indicates if diagnosis code is ICD9-CM or ICD-10-CM

VARCHAR(8)

ICD9-CM or ICD10-CM

54

Place of Service

Code indicating where the service was performed

VARCHAR


eq

Professional Data Element

Data Element Description

Format

Expected Values

55

Beginning Date of Service

The first date of services received during an encounter with a provider, the date the service covered by this claim was received.

DATE

MM/DD/YYYY

56

Ending Date of Service

The last date of services received during an encounter with a provider, the date the service covered by this claim was received.

DATE

MM/DD/YYYY

57

Type of Service

A code indicating the type of service being billed. (if available-i.e. Transportation Services; Hospice, PCS etc.

represented by a code)

VARCHAR

Please provide code definitions

58

Charged Amount

The total charge for this claim as submitted by the provider.

INTEGER

59

Amount Paid

The amount paid on this claim or adjustment.

INTEGER

60

COB Amount

Coordination of Benefits amounts paid

INTEGER

61

Claim Submission Date

The date on which the claim was submitted for payment

DATE

MM/DD/YYYY

62

Payment

Adjudication Date

The date on which the payment status of the claim was paid

DATE

MM/DD/YYYY

63

Adjustment Indicator

Code indicating the type of adjustment record claim represented. (i.e. original claim, void,

VARCHAR

Please provide code definitions

eq

Professional Data Element

Data Element Description

Format

Expected Values



resubmittal, credit adjustment, debit adjustment, gross adjustment)



Appendix C: Reengineering TTP Input Processes

The CSRA study team is in the process of streamlining and improving the entire study process for the TTP and the partners. The first phase of the reengineering is the input process from the partners: the data elements, the transmission, and the timing of the data that will be used in studies. The premise of our reengineering is to design TTP processes that will produce enhanced results by making participation in studies as easy and productive for the partners as we can. We will minimize the imposition of standards to those that prove necessary, and will accommodate partners who are comfortable with the current approach.

Prior Input Method

During the HFPP prototype phase, the partners submitted data to MITRE for analysis by sending a Comma Separated Value (CSV) file, using a special “pipe” character to separate the fields. Each claim line is sent to the TTP as one long text string. Most partners upload the data in segments to the HFPP Portal or mail encrypted files. Originally, participating entities in a study supplied data with specific Current Procedural Terminology (CPT) codes selected for that study. In July 2015, partners were allowed to respond to a “general data submission call” that contained all CPT codes, and saved the partner the work of a separate data gathering effort for each individual study. The current process does not allow for the collection of Personal Health Information (PHI) nor Personally Identifiable Information (PII) data elements in either the specific or the general requests.

In discussing the process with partners at the April 2016 General Assembly, CSRA identified two problems: first, the pipe-delimited file format is difficult to collect and to properly format as it is not commonly used by other information technology (IT) processes in the Special Investigations Units (SIU). Second, the process is prone to error for specific studies and takes considerable time to get all the data collected and transmitted, delaying the actual start of analysis. The result is a significant lag between the dates of the claims in a study and the current fraud problems facing the SIUs.

New CSRA Capabilities

CSRA, as the TTP production contractor, is using a Cloud environment and resources that will allow us to consider alternatives to the current input method. Rather than load data into a predefined relational database, CSRA will use an approach designed for “big data”: that is, it can analyze data that is stored in many different formats in the same file structure. CSRA has received its ATO from CMS with all of the security controls in place that will allow it to safely store and use PHI and PII data.

With the new security and resources, CSRA plans to expand the MITRE data elements from 32 to 63. New elements include diagnosis codes, beneficiary information, and additional provider information. We are introducing the new data elements with the November 2016 data call, the first data call under the CSRA contract.

Reengineering the Input Process

We are exploring three specific areas of the input process for improvement.

  • Allow multiple input methods: we will let partners choose how to assemble and provide the data; we will extract from your fields for analysis.

  • Obtain data that are more current: we want to include your recent claims in the studies by receiving data more frequently but on a schedule of each partner’s choosing.

  • Bring in additional types of claims for analysis: we will expand to institutional, dental, and other type of claims, and we will let the partners decide which claims types are most important to start with.

We will continue to allow the pipe-delimited format for partners who favor that format, but we anticipate that other file formats may be easier to submit. In particular, we want to take advantage of files, formats, and processes that the partners’ IT departments are using, either with the SIU, other internal components or with third parties. If the file is suitable, we could simply be copied when it is distributed.

If we are receiving one of your files created for other customers or vendors, we recognize that the data elements may not be exactly as those we are looking for. We will work with you, and if some elements are not available, we may be able to take the data without them; however, there will need to be a minimum set for analytic purposes. We will decide on the minimum set after discussions with the partners.

In order to get more current data into our study analytics, we want to obtain the data on your schedule, not ours. If you submit monthly data to a third party, the minor work of bringing data in more frequently is more than offset by having the latest data available.

When we begin a study, we will work with the data that is present and not wait for more data to arrive--that means our results will be much more current and useful for you. We are planning to rerun studies periodically, so data submitted after a study is in progress will simply be picked up in the next iteration of analysis.

Finally, we plan to bring in different types of claims record, e.g., institutional, dental, pharmacy, or durable medical equipment (DME). There was lively interest in all of these at the April 2016 General Assembly. We want the partners to indicate which claims type they believe is most important, particularly for helping us reach the HFPP’s One Billion Dollar goal. We will also explore how the partners want to submit the additional data—some may want to use separate files because of the way their data is stored; others may prefer to submit intermingled claims records.





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The following disclaimer applies: Regarding all Healthcare Fraud Prevention Partnership communications and activities, this is a purely voluntary activity. The committees regarding data sharing and analysis; information sharing; and the Executive Board, are to be used solely as discussion groups where the individual members can share facts or information or individual input. No group or consensus advice or recommendations will be given by the partners in the committees or the Executive Board. In addition, no policy-making or decision-making will be performed by the committees or the Executive Board. The Secretary and the Attorney General or their designees will make the final policies or other decisions.

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