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SQL exercises on hospital Database: Find the name of patients and their physicians who does not require any assistance of a nurse

SQL hospital Database: Exercise-18 with Solution

18. From the following tables, write a SQL query to find those patients and their physicians who do not require any assistance of a nurse. Return Name of the patient as “Name of the patient”, Name of the Physician as “Name of the physician” and examination room as “Room No.”.

Sample table: patient


Sample table: appointment


Sample table: physician


Sample Solution:

SELECT t.name AS "Name of the patient",
       p.name AS "Name of the physician",
       a.examinationroom AS "Room No."
FROM patient t
JOIN appointment a ON a.patient=t.ssn
JOIN physician p ON a.physician=p.employeeid
WHERE a.prepnurse IS NULL;

Sample Output:

 Name of the patient | Name of the physician | Room No.
---------------------+-----------------------+----------
 John Smith          | Christopher Turk      | C
 Dennis Doe          | Percival Cox          | C
(2 rows)

Practice Online


E R Diagram of Hospital Database:

E R Diagram: SQL Hospital Database.

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Previous: From the following tables, write a SQL query to find those patients who taken the appointment on the 25th of April at 10 am. Return Name of the patient, Name of the Nurse assisting the physician, Physician Name as "Name of the physician", examination room as "Room No.", schedule date and approximate time to meet the physician.
Next: From the following tables, write a SQL query to find the patients and their treating physicians and medication. Return Patient name as "Patient", Physician name as "Physician", Medication name as "Medication".

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SQL: Tips of the Day

SQL Server SELECT into existing table.

INSERT INTO dbo.TABLETWO
SELECT col1, col2
  FROM dbo.TABLEONE
 WHERE col3 LIKE @search_key

This assumes there's only two columns in dbo.TABLETWO - you need to specify the columns otherwise:

INSERT INTO dbo.TABLETWO
  (col1, col2)
SELECT col1, col2
  FROM dbo.TABLEONE
 WHERE col3 LIKE @search_key

Database: SQL Server

Ref: https://bit.ly/3y6tpA3