Write and execute a SQL query to list all patient numbers and encounter ids which do not have any data (missing rows) in VisitSummary table. Order the result by patient number, encounter id.
Write and execute a SQL query to list all patient numbers and encounter ids which do not have any data (missing rows) in VisitSummary table. Order the result by patient number, encounter id.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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- Write and execute a SQL query to list all patient numbers and encounter ids which do not have any data (missing rows) in VisitSummary table. Order the result by patient number, encounter id.
- Write and execute a SQL query to list all patients whose information about race or gender has changed during their future visits. A future visit is defined as T1.encounter_id < T2.encounter_id. Your output should have patient number, old and new race values, old and new gender values, and the encounter ids.
- Write and execute a SQL query to list all the patient data for all encounters. Even if patient data is missing in other tables, you still need to list the patient_nbr and encounter_id in your output. Your output should list all the columns (without repeating them) starting with encounter_id, patient_nbr... and it should be ordered by patient_nbr and then encounter_id.
- Write and execute a SQL query to list all the patient data for all encounters. If the patient data is missing in other tables like Visit summary, then DO NOT include this encounter in your output. Your output should list all the columns (without repeating them) starting with encounter_id, patient_nbr... and it should be ordered by patient_nbr and then encounter_id.
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- Write and execute a SQL query to list all patients whose information about race or gender has changed during their future visits. A future visit is defined as T1.encounter_id < T2.encounter_id. Your output should have patient number, old and new race values, old and new gender values, and the encounter ids.
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