Pseudo Code Generator
SQL Query Logic for NPI_NUMBER Patient Counts
This pseudo code outlines the logic of an SQL query aimed at retrieving NPI_NUMBERs along with distinct counts of PATIENT_ID and SERVICE_DATE pairs, utilizing various filtered datasets and aggregate functions for a specified date range.
Prompt
Answer
Pseudo Code for SQL Query Logic
The following pseudo code represents the logic of the provided SQL query. It structures the operations in a sequential and comprehensible manner.
Main Objective
Retrieve the NPI_NUMBER and count of distinct PATIENT_ID and SERVICE_DATE pairs from a set of joined tables, with specific conditions on service dates and priorities.
Pseudo Code Structure
Define Main Function
- Function: GetPatientCounts
- Inputs: None
- Outputs: List of NPI_NUMBERs and COUNT_PAT
Step 1: Filter Child Birth Events
- Let CHLD_BIRTH be the result of:
- Query
LAAD_CHILD_BIRTH_EVENTS_FULL
- Where: SERVICE_DATE between '2023-07-01' and '2024-06-30'
- And: PRIORITY_ORDER equals 1
- Query
Step 2: Prepare Diagnosis Fact
- Let DX_FCT be the result of:
- Query
DIAGNOSIS_FACT
- Where: SERVICE_DATE between '2023-07-01' and '2024-06-30'
- Join with:
- Query
SAGE_DX_CODES
- Select: DISTINCT DIAGNOSIS_CD, REPLACE(DIAGNOSIS_CD,'.','') AS DIAGNOSIS_CD_UPD, INDICATION_LVL1 AS INDICATION_LVL, ICD_VERSION_TYPE
- Where: UPPER(INDICATION_LVL1) equals 'BIRTH'
- Query
- Join Condition: WHERE REPLACE(DX_FCT.DIAGNOSIS_CD, '.', '') equals IND.DIAGNOSIS_CD_UPD
- Query
Step 3: Prepare Provider Facts
Let PROC_FACT_RESULT be the result of:
- Query from
PROCEDURE_FACT
- Select: DISTINCT PROVIDER_RENDERING_ID, CLAIM_ID, CAST(PROVIDER_RENDERING_ID AS NUMERIC) AS PROVIDER_RENDERING_ID_NUMERIC
- Group by: CLAIM_ID
- Aggregate: MAX(PROVIDER_RENDERING_ID_NUMERIC)
- Query from
Let B be the result of:
- Join DX_FCT with PROC_FACT_RESULT
- Join Condition: A.CLAIM_ID equals B.CLAIM_ID
- Join DX_FCT with PROC_FACT_RESULT
Let B_WITH_NPI be the result of:
- Select Distinct: A.*, B.NPI_NUMBER from B
- Set PROVIDER_ID_UPDATED:
- IF PROVIDER_RENDERING_ID in ('0', '', ' ') AND PROCEDURE_PROVIDER_ID NOT IN ('0', '', ' ')
- THEN PROVIDER_ID_UPDATED = PROCEDURE_PROVIDER_ID
- ELSE PROVIDER_ID_UPDATED = PROVIDER_RENDERING_ID
Step 4: Final Join with Child Birth
- Let FINAL_RESULT be the result of:
- Join CHLD_BIRTH with B_WITH_NPI
- Join Condition: CHLD_BIRTH.PATIENT_ID equals B.PATIENT_ID AND CHLD_BIRTH.SERVICE_DATE equals B.SERVICE_DATE
- Join CHLD_BIRTH with B_WITH_NPI
Step 5: Aggregate Results
- SELECT: NPI_NUMBER, COUNT(DISTINCT PATIENT_ID, SERVICE_DATE) AS COUNT_PAT FROM FINAL_RESULT
- GROUP BY: NPI_NUMBER
Summary
- The pseudo code initiates a series of filtered queries to extract necessary data from multiple sources.
- Intermediate tables are constructed to handle specific logic like service date filtering, diagnoses, and provider information updates.
- Finally, the results are aggregated to produce the desired output in a clear and structured format.
This structured approach to writing pseudo code provides clarity on the flow of data operations and the logic underlying the original SQL statement.
Description
This pseudo code outlines the logic of an SQL query aimed at retrieving NPI_NUMBERs along with distinct counts of PATIENT_ID and SERVICE_DATE pairs, utilizing various filtered datasets and aggregate functions for a specified date range.