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Case Study 10:
MS SQL SERVER 2005 – Management Studio – Create tables via SQL Script
RHA EXAMPLE
MS SQL SERVER 2005 - Management Studio
Regional Health Authority Database EXAMPLE
TASKS
The following Case Study
a. Derive an Entity Relationship Diagram (ERD) showing the entities of interest and associated
attributes, relationships, dependency and indicate primary and foreign keys
b. Implement the tables in MS SQL Server 2005 by draw the ERD in MS SQL Server 2005
c. Populate the tables with the sample data.
d. Provide sample SQL code to demonstrate and understanding of DDL and DML SQL
statements.
You may decide to modify the data requirements or generate additional data attributes to assist in
your design of the database. Write down details of any assumptions you have made that you feel
are important.
You may decide to follow the ERD’s in Answer Points.
CASE STUDY:
REGIONAL HEALTH AUTHORITY.
The Regional Health Authority (RHA) was formed recently to operate the admissions and in patients
monitoring of each hospital within the area of its control.
The Admissions System
A consultant with a patient requiring a stay in hospital could make enquiries of the admissions system.
Available beds in the hospital could be booked, or alternatively a patient could be put on the waiting list.
The length of the wait would depend on the type of treatment required. The patients details, name of
consultant and the type of treatment required would be recorded so that the patient could be informed when
a bed became available. The name, address and telephone number of the patient’s GP would also be
recorded.
The In-Patient System.
The hospital is organised into a number of wards, each of which may be empty or may include one or more
patients. Each ward has a ward number and name. The number of patients occupying a ward cannot
exceed the number of beds in the ward. Each ward is staffed by one or more nurses, one of whom is
designated to supervise the others on the ward. Each nurse is identified by a staff number and name and is
assigned to a single ward. An Id. Number and name identify each patient. Their name, address, date of
birth and religion are recorded on admission to the ward.
While in hospital the patient is assigned to a single ward and is under the care of a consultant. The
consultant has a particular specialist and heads a team of junior doctors. Every team has an Id. Code
(generally the initials of the consultant in charge of the team). A junior doctor may be a registrar or
houseman and every doctor is identified by a staff code as well as his/her name.
Each doctor may treat several patients and each patient may be treated by a number of doctors, all of
whom must be members of the same team as the consultant responsible for the patient.
The treatment a patient receives includes the prescription of certain dosage of drugs such as paracetamol,
morphine, codeine, etc. Each drug has a code. Records are kept of the date and dosage of each drug
treatment and who prescribed it. Only doctors are allowed to prescribe treatment.
Mansha Nawaz
Regional Health Authority EXAMPLE
Case Study 10:
1
Case Study 10:
MS SQL SERVER 2005 – Management Studio – Create tables via SQL Script
RHA EXAMPLE
MODEL SOLUTIONS
CASE STUDY :
REGIONAL HEALTH AUTHORITY.
This section documents a MS SQL based solution.
An online MS SQL solution is also available dd.cs.EM.rha.doc
Identified Entities & Attributes within the case study
Patient
(Patient#, Name, DOB, Address, Town, Postcode, Phone#, GP,
TeamName)
Religion
(Patient#, Practicing faith)
Treatment
(Patient#, Condition, Procedure’s Req, Med1, Med2, Med3)
GP
(GP#, GPName, Patient#)
Waiting Lists
(Pat#, ReferalDate)
Admissions
(Patient#, AdmissionDate, Ward#, Bed#)
Wards
(Ward#, Patient#)
Bed
(Bed#, Ward#, Patient#)
Out
(Patient#, DateOut)
Staff
(Staff# , Name, Position, Specialist Area, Address, Town, Postcode,
Phone#)
Teams
(ID#, TeamName, Staff#)
Junior Doctors
(Staff#, TeamName)
Consultant
(Staff#, TeamName,)
Specialist
(Staff#, TeamName)
Nurse
(Staff#, TeamName)
Mansha Nawaz
Regional Health Authority EXAMPLE
Case Study 10:
2
Case Study 10:
MS SQL SERVER 2005 – Management Studio – Create tables via SQL Script
RHA EXAMPLE
Entity Relationship Matrix for RHA
Partial solution has been provided to show essential features.
Patient
Beds
Out
Admits
Assigned
Leaves
Wards
Assigns
On
Beds
Assigns
Patient
Religion
Practices
Treatment
Given
GP
Sees
Wait
Held on
Admit
Admitted
Out
Religion
Treatment
GP
Wait
Admit
Belongs
Given to
Sees
Goes on
Wards
Staff
J Docs
Ctants
Splist
Treat
Treat
Consult
sees
Part of
Head
Part of
Nurse
Has
Leaves
Staff
Part of
Team
Treated
by
Drugs
Receives
J Docs
Treated
Ctants
Consults
Splist
Sees
Part Of
Nurse
Cares
Part of
Mansha Nawaz
Team
Given by
Part of
Prescribe
Part of
Refers
Regional Health Authority EXAMPLE
Part of
Case Study 10:
3
Part of
Gives
CASE STUDY:
REGIONAL HEALTH AUTHORITY.
Entity Relationships Diagram
ASCENT ERD SOLUTIONS
reg.hel.auth
outpatients
prescription
The following ERD was implemented in the script files provided. It is a
simplified version of the ASCENT2 ERD provided earlier. Used to demonstrate
MS SQL Server – QA implementation.
CASE STUDY: REGIONAL HEALTH AUTHORITY.
4
CASE STUDY:
REGIONAL HEALTH AUTHORITY.
Database Tables
Script file : dd.cs.rha.schema.sql
StaffRegister
(StaffNo, StaffGrade, ShiftRotaNo, StaffName, StaffAddress,
StaffTelephoneNo, StaffPagerNo, StaffRoomNo)
Consultant
(ConsultantNo, ConsultantName, ConsultantId)
GP
(GPNo, GPName, GPAddress, GPTelephoneNo)
Treatment
(TreatmentNo, PatientTypeOfTreatment, TreatmentDate)
Patient
(PatientNo, PatientName, PatientAddress, PatientDateof Birth,
PatientTypeofTreatment, PatientGender, PatientReligion,
Patient_ConsultantNo, GPNo, TreatmentNo)
Prescription
(PrescriptionNo, Prescription Date, Drug Dosage, PatientNo,
DoctorNo)
Ward
(WardNo, WardName, WardTelephoneNo, NumberOfBeds)
Admissions
(PatientNo, AdmissionDate, WardNo)
Waiting List
(PatientNo, RegistrationDate)
Beds
(BedNo, WardNo, PatientNo,)
Nurses
(NurseNo, NurseName, WardNo)
Consulting Team
(TeamNo, ConsultantNo, ConsultantName, SpecialistNo,
SpecialistName)
Junior Doctors
(DoctorNo, TeamNo)
CASE STUDY: REGIONAL HEALTH AUTHORITY.
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CASE STUDY:
Drug
REGIONAL HEALTH AUTHORITY.
(DrugNo, DrugName, PresriptionNo)
Database Table Schemas
Implemented Database Tables with sample data
Script file to create tables
Script file to drop tables
dd.cs.rha.schema.sql
dd.cs.rha.schema.delete.sql
SQL Database Tables
Admissions
select *
from admission
Bed
select *
from bed
CASE STUDY: REGIONAL HEALTH AUTHORITY.
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CASE STUDY:
REGIONAL HEALTH AUTHORITY.
CONSULTANT
select *
from consultant
CONSULTINGTEAM
select *
from consultingteam
DRUG
select *
from drug
CASE STUDY: REGIONAL HEALTH AUTHORITY.
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CASE STUDY:
REGIONAL HEALTH AUTHORITY.
GP
select *
from gp
JuniorDoctors
select *
from juniordoctors
Nurses
select *
from nurses
CASE STUDY: REGIONAL HEALTH AUTHORITY.
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CASE STUDY:
REGIONAL HEALTH AUTHORITY.
Patient
select *
from patient
Prescription
select *
from prescription
StaffRegister
select *
from staffregister
Treatment
select *
from treatment
CASE STUDY: REGIONAL HEALTH AUTHORITY.
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CASE STUDY:
REGIONAL HEALTH AUTHORITY.
WaitingList
select *
from waitinglist
Ward
select *
from ward
CASE STUDY: REGIONAL HEALTH AUTHORITY.
10
CASE STUDY:
REGIONAL HEALTH AUTHORITY.
DDL - SQL Code Samples
Provide sample code as covered in MS Powerpoint Lecture Slide
(Section 02)
SQL Overview
Data Definition Language (DDL)
•
SQL provides a Data Definition Language
(DDL) to create and maintain defined
database objects
Databases
Tables
Views
Indexes
Users
Constraints
1. CREATE TABLE
2. CREATE TABLE and Foreign Keys
user-defined data types:
3. CREATE INDEX
•
This is a demonstration guide to using SQL
4. CREATE VIEW
•
SQL examples generally based on the
Library Database
5. CREATE TRIGGER
•
6. DROP TABLE
The DDL statements build our Data Model
Section 2
SQL Overview
9
Data Manipulation Language (DML)
•
SQL is a Data Manipulation Language (DML)
used to develop and manipulate data in a
relational database is SQL.
•
This is a demonstration guide to using SQL
•
SQL examples generally based on the Library
Database
•
The DML statements manipulate data:
1. SELECT
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
SELECT & FROM
WHERE CLAUSE
ORDER BY
DISTINCT
BETWEEN and LIKE
IN and NOT IN
Joining Tables
Aliases for Tables
More on Joins
Examining the Joins
Sub-Queries
13. INSERT
14. CREATE TRIGGER
15. DELETE
16. UPDATE
Section 2
SQL Overview
CASE STUDY: REGIONAL HEALTH AUTHORITY.
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