DENTAL CLINIC DATABASE SYSTEM

After make a discussion, all of our group members are agree to choose Klinik Pergigian Yuszri which is located at No. 144-A, Jalan Bunga Pekan, 42700 Banting, Kuala Langat, Selangor Darul Ehsan as our database systems group project.

INTRODUCTION

WHY WE CHOOSE DENTAL CLINIC ??

Since this clinic are still using the manual system

which is card and form in their services, the

doctor may be face a big problem to find their

patient information. Therefore, the main purpose

for us to choose this dental clinic is to improve it

system so that it will easier for the doctor to

access their patient information.

PROBLEMS

1. Difficult to access the latest information of patient

The doctor face the problem to access the latest information of their patient since their information are write in card and do not have a special attribute to search their information more easy and faster

2. Problem updating data

Besides that, the doctor also face a problem to updating their patient data especially for their patient treatment information.

The treatment for each patient must be different

PROBLEMS

This is some treatment that is offered in this dental clinic

- Tampalan (dental fillings)

- Cabutan (dental extraction)

- Gigi palsu (denture)

- Cuci gigi (dental rinse)

- Rawatan karal akar (tooth root treatment)

- Korona dan jambatan (corona and braces)

- Pembedahan kecil mulut (oral surgery)

- Rawatan pencegahan (preventive treatment)

- Ortodontik (orthodontic)

OBJECTIVES

1. Facilitate the search for patient information

This system may be help the doctor to search for their patient information easily and more faster than before by enter their Idpatient.

2. Facilitate updating of patient data

This system also will facilitate the doctor to update their patient data especially for their patient treatment information.

SCOPE

Scope required in this system are:

1. Patient information

Idpatient

Ref

Date

Name

Sex

Occupation

Address

Telephone

H/P

SCOPE2. STAFF INFORMATION

Staff information

Idstaff

Name

Date of birth

Place of birth

Ic number

Address

Feasibility

Experience

Starting date

Holiday

Salary

Sex

Race

Religious

SCOPE3.TREATMENT INFORMATION

Types of treatment

Date

Teeth

Charges

Balance

SCOPE4.DOCTOR INFORMATION

Iddoctor

Salary

Rent

Name

Sex

Address

Telephone

H/P

IC number

Holiday

Race

Religious

NEEDS ANALYSIS

a)Interview

b)Distributing questionnaire

c) Observation

DESIGN

DESIGN

b) Relational Model (RM)

Patient ( idpatient, ref, date, name, sex, occupation, address, telephone, H/P )

Staff ( idstaff, name, date_of_birth, place_of_birth, ICnum, address, feasibility, experience, starting_date, holiday, salary, sex, race, religious )

Treatment ( type_of_treatment, date, teeth, charges, balance)

Doctor ( iddoctor, salary, rent, name, sex, address, telephone, H/P, ICnum, holiday, race, religious)

NORMALIZATION

ENTITY ATRIBUTE

PATIENT IdPatient, Name, Adress, Sex, Telephone, H/P, Occupation, TreatmentNum, TypesOfTreatment, Date, Ref.

STAFF IdStaff, ICnumber, Name, Address, Sex, Telephone, H/P, DateOfBirth, PlaceOfBirth, Race, Religious, Feasibility,

Experience, StartingDate, Holiday, Salary.

TREATMENT TreatmentNum, TypesOfTreatment, Date, Teeth, Charges, Balance.

DOCTOR IdDoctor, ICnumber, Name, Address, Sex,Telephone, H/P, Race, Religious, Salary, Rent, Holiday.

NORMALIZATION

NORMALIZATION PROCESS

(A)TABLE PATIENT :

1st NF PATIENT ( IdPatient, Name, Address, Sex, Telephone,

H/P, Occupation, TreatmentNum, TypesOfTreatment, Date, Ref )

 

2nd NF PATIENT ( IdPatient, Name, Address, Sex, Telephone,

H/P, Occupation) TREATMENT ( TreatmentNum,TypesOfTreatment,

Date, Ref )

NORMALIZATION(B)TABLE STAFF :

1st NF STAFF (IdStaff, ICnumber, Name, Address, Sex, Telephone, H/P,

DateOfBirth, PlaceOfBirth, Race, Religious, Feasibility, Experience, StartingDate, Holiday, Salary)

2nd NF STAFF ( IdStaff, ICNumber, Name, Address, Sex, Telephone, H/P,

DateOfBirth, PlaceOfBirth, Race, Religious ) WORK ( WorkNumber, Feasibility, Experience, StartingDate,

Holiday, Salary)

3rd NF STAFF ( IdStaff, ICNumber, Name, Address, Sex, Telephone, H/P,

DateOfBirth, PlaceOfBirth, Race, Religious ) WORK( WorkNumber , Feasibility, Experience ) STAFF_WORK( IdStaff, WorkNumber, StartingDate,Holiday, Salary )

NORMALIZATION

(C)TABLE TREATMENT :

1st NF

TREATMENT ( TreatmentNumber, TypesOfTreatment,date, Teeth, Charges , Balance )

2nd NF

TREATMENT ( TreatmentNumber, TypesOfTreatment,Date, Teeth )

COST (payment, Charges, Balance )

NORMALIZATION

(D)TABLE DOCTOR :

1st NF

DOCTOR ( IdDoctor, ICnumber, Name, Address, Sex, Telephone, H/P, Race, Religious, Salary, Rent, Holiday.)

 

2nd NF

DOCTOR ( IdDoctor, ICnumber, Name, Address, Sex, Telephone, H/P, Race, Religious, Salary, Rent, Holiday.)

CLINIC ( Rent)

RELATION TABLES

ENTITY ATRIBUTE

PATIENT 

IdPatient, Name, Address, Sex, Telephone, H/P, Occupation, TreatmentNum, TypesOfTreatment, Date, Ref

1st NF

ENTITY ATRIBUTE

PATIENT IdPatient, Name, Address, Sex, Telephone, H/P, Occupation

TREATMENT

TreatmentNum,TypesOfTreatment, Date, Ref

2nd NF

RELATION TABLES FOR STAFF TABLE

ENTITY ATRIBUTE

STAFF IdStaff, ICnumber, Name, Address, Sex, Telephone, H/P, DateOfBirth, PlaceOfBirth, Race, Religious, Feasibility, Experience, StartingDate, Holiday, Salary

1st NF

ENTITY ATRIBUTE

STAFF IdStaff, ICNumber, Name, Address, Sex, Telephone, H/P, DateOfBirth, PlaceOfBirth, Race, Religious

WORK WorkNumber, Feasibility, Experience, StartingDate, Holiday, Salary

2nd NF

RELATION TABLES FOR STAFF TABLE

ENTITY ATRIBUTE

STAFF IdStaff, ICNumber, Name, Address, Sex, Telephone, H/P, DateOfBirth, PlaceOfBirth, Race, Religious

WORK WorkNumber , Feasibility, Experience

STAFF_WORK IdStaff, WorkNumber, StartingDate,Holiday, Salary

3rd NF

RELATION TABLES FOR TREATMENT TABLE

ENTITY ATRIBUTE

TREATMENT TreatmentNumber, TypesOfTreatment,date, Teeth, Payment, Charges , Balance

ENTITY ATRIBUTE

TREATMENT TreatmentNumber, TypesOfTreatment,Date, Teeth

COST payment, Charges, Balance

1st NF

2nd NF

RELATION TABLES FOR DOCTOR TABLE

ENTITY ATRIBUTE

DOCTOR  

IdDoctor, ICnumber, Name, Address, Sex,Telephone, H/P, Race, Religious, Salary, Rent, Holiday

ENTITY ATRIBUTE

DOCTOR IdDoctor, ICnumber, Name, Address, Sex, Telephone, H/P, Race, Religious, Salary, Rent, Holiday

CLINIC Rent

1st NF

2nd NF