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Data Warehouse User Group June 28, 2012 Transactions in Apex – a first look
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Data Warehouse User Group June 28, 2012

Jan 03, 2016

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Data Warehouse User Group June 28, 2012. Transactions in Apex – a first look. Transactions in Apex. Transactions were at the core of our old data mart built on IDX – the same will be true in Apex However, the Transaction Paradigm is *very different* in Apex. Transactions in Apex. - PowerPoint PPT Presentation
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Page 1: Data Warehouse User Group June 28, 2012

Data Warehouse User GroupJune 28, 2012

Transactions in Apex – a first look

Page 2: Data Warehouse User Group June 28, 2012

Transactions in Apex Transactions were at the core

of our old data mart built on IDX – the same will be true in Apex

However, the Transaction Paradigm is *very different* in Apex

Page 3: Data Warehouse User Group June 28, 2012

Transactions in Apex Transactions are posted to Guarantor

Accounts, not specific Invoices, as in our IDX system; i.e. Guarantor Account is the “wrapper”

Transaction lines increment for the Account, not for specific encounters.

One Guarantor Account will have many Dates of Service (DOS)

Page 4: Data Warehouse User Group June 28, 2012

Transactions in Apex When looking at a Transaction (specific

Tx_Num) in Hyperspace, what’s shown is a Snapshot of that Transaction, reflecting the current, calculated balances

What’s often not obvious is all the activity going on behind the scenes that contributes to those balances (voids, matching records, actions). These are called Transaction Detail records (TDL)

Page 5: Data Warehouse User Group June 28, 2012

To understand Transactions, we need to understand their Detail Types (TDL)

slkjdfOnly New

Transactions (with their Running Totals) appear in the upper window of Prof Tx

Inquiry

“Matching” and other detail Types of can be viewed by clicking on the tabs in the lower window of Prof Tx

Inquiry, or switching to a

different view, like Prof Inv Inquiry

Page 6: Data Warehouse User Group June 28, 2012
Page 7: Data Warehouse User Group June 28, 2012

Transactions in Clarity – what you don’t see (easily) from Hyperspace

Couple of things to note:

Our 5 “New” Transaction Lines have at least 11 associated transaction detail lines, many of them doing the heavy lifting

All “New” transactions are basically stand-alone until “matched” to another transaction for the same Account

Transactions point to each other, but don’t always contain the same column information

From Hyperspace, the relationships look obvious; on the back end, it’s messy

ACCOUNT_ID TX_NUM TX_IDDETAIL TYPE Detail Description POST_DATE

ORIG SVC DATE MATCH_TRX_ID AMOUNT

INVOICE NUMBER

VISIT NUMBER

XXX99951848 1 33009 2 New Payment 6/6/2012 6/6/2012 ($20.00)

XXX99951848 2 82577 1 New Charge 6/9/2012 6/4/2012 $815.00 ZZ385936

XXX99951848 3 82617 1 New Charge 6/9/2012 6/4/2012 $1,507.00 ZZ385936

XXX99951848 3 82617 50 Claim 6/13/2012 6/4/2012 Y2000108492 ZZ385936

XXX99951848 2 82577 50 Claim 6/13/2012 6/4/2012 Y2000108502 ZZ385936

XXX99951848 1 33009 32 Match/Unmatch (Payment->Charge) 6/13/2012 6/6/2012 170537 $20.00

XXX99951848 4 170537 1 New Charge 6/13/2012 6/6/2012 $391.00 ZZ386223

XXX99951848 4 170537 20 Match/Unmatch (Charge->Payment) 6/13/2012 6/6/2012 33009 ($20.00) ZZ386223

XXX99951848 4 170537 50 Claim 6/14/2012 6/6/2012 Y2000172902 ZZ386223

XXX99951848 5 268793 1 New Charge 6/16/2012 6/14/2012 $410.00 ZZ386469

XXX99951848 5 268793 50 Claim 6/18/2012 6/14/2012 Y2000265602 ZZ386469

Page 8: Data Warehouse User Group June 28, 2012

Transaction Reporting from Hyperspace/Clarity

Good for…..helping us tie our warehouse totals to the Clarity/Chronicles

Totals

Not so good for.....helping us make sense of how our Division/DEP/Provider is doing (unless you’re an

accountant)

Page 9: Data Warehouse User Group June 28, 2012

(Future) Transaction Reporting from Cognos

BILL_AGENT: MEDICAL GROUP BUSINESS SERVICES

DETAIL_TYPE DETAIL_TYPE_DESC CHARGES PAYMENTS CONTRACT_ADJ CREDITS DEBITS REFUNDS DISCOUNTS BAD_DEBT CHARITY WRITE_OFF 1 New Charge 24,804,302.96 - - - - - - - - - 2 New Payment - 899,455.87 - - - - - - - - 3 New Debit Adjustment - - - - - 25.00 - - - - 4 New Credit Adjustment - - 258,908.82 - - - - - - - 5 Payment Reversal - - - - - - (11,003.12) - - - 6 Credit Adjustment Reversal - - - - - - (13,578.91) - - -

10 Void Charge (1,000,450.76) - - - - - - - - - 11 Void Payment - (29,897.63) - - - - - - - - 13 Void Credit Adjustment - - (996.36) - - - - - - - 20 Match/Unmatch (Charge->Payment) - 109,750.17 - - - - - - - - 21 Match/Unmatch (Charge->Credit Adjustment) - - 244,333.55 - - - - - - - 22 Match/Unmatch (Debit Adjustment->Payment) - 11,028.12 - - - - - - - - 23 Match/Unmatch (Debit Adjustment->Credit Adjustment) - - 13,578.91 - - - - - - - 30 Match/Unmatch (Credit Adjustment->Charge) - - (244,333.55) - - - - - - - 31 Match/Unmatch (Credit Adjustment->Debit Adjustment) - - (13,578.91) - - - - - - - 32 Match/Unmatch (Payment->Charge) - (109,750.17) - - - - - - - - 33 Match/Unmatch (Payment->Debit Adjustment) - (11,028.12) - - - - - - - -

Our Goal is to strike the right balance

To keep enough of the detail to allow you to tie back to live system, and the reports you tend to run out of Hyperspace (Workbench or Clarity)

To remove or hide any excess detail that doesn’t help in your understanding To restate the same data in ways that make more sense from a business

perspective