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Question:

Describe about the Logical Data Model for Database.

 

Answer:

Logical data model

 Logical data model

Data dictionary

Name

PatientID

Firstname

Lastname

Address

Contact number

CVisitID

DOB

synonym

Patient serial number

Patient name

Patient Surname

The location of patient

 Phone number

Serial number 

data of birth

Definition

serial number for identify a Patient

Name of the patient

Surname of the patient

Detail address of the patient

Emergency contact

Keep the track of all visit

This field is used to calculate age of the patient

field type

Numeric

Alphabetic

Alphabetic

Alphabetic

Numeric

Numeric

date

length

20

100

100

250

12

20

 

 

Name

Doctor ID

Firstname

Lastname

Address

Contact number

Specialization

Patient ID

synonym

Doctor serial number

Doctor name

Doctor Surname

The location of Doctor

 Phone number

expertise in a department

Patient serial number

Definition

serial number for identify a Doctor

Name of the Doctor

Surname of the Doctor

Detail address of the Doctor

Emergency contact

Name of a particular medical section

serial number for identify a Patient

field type

Numeric

Alphabetic

Alphabetic

Alphabetic

Numeric

Alphabetic

Numeric

length

20

100

100

250

12

250

20


 

 

Bibliography

Ashley, F. (2013). Database management system 39 success secrets - 39 most asked questions on. [Place of publication not identified]: Emereo Publishing.

Chen, J. & Stanley-Brown, J. (2015). RELATIONAL DATABASE LOGICAL DESIGN � A CASE STUDY IN TOURISM DEVELOPMENT AND CUSTOMER RELATIONSHIP MANAGEMENT. Journal Of International Management Studies, 15(3), 19-26. https://dx.doi.org/10.18374/jims-15-3.3

IÄŸde, M., Kavurucu, Y., & Mutlu, A. (2015). Graph Representation of Relational Database for Concept Discovery. Procedia - Social And Behavioral Sciences, 195, 1981-1989. https://dx.doi.org/10.1016/j.sbspro.2015.06.212

Lee, S. (2012). Database systems for advanced applications. Heidelberg: Springer.

Lee, S., Peng, Z., Zhou, X., Moon, Y., Unland, R., & Yoo, J. (2012). Database Systems for Advanced Applications. Berlin, Heidelberg: Springer Berlin Heidelberg.

Mondal, S., Gold, B., Mohamed, R., & Alabugin, I. (2015). ChemInform Abstract: Design of Leaving Groups in Radical C-C Fragmentations: Through-Bond 2c-3e Interactions in Self-Terminating Radical Cascades. Cheminform, 46(4), no-no. https://dx.doi.org/10.1002/chin.201504031

Müglich, D., Sinn-Behrendt, A., Schaub, K., & Bruder, R. (2015). Development of a database for capability-appropriate workplace design in the manufacturing industry. Occupational Ergonomics, 12(3), 109-118. https://dx.doi.org/10.3233/oer-150228

Pan, J., Chen, S., & Nguyen, N. (2012). Intelligent information and database systems. Berlin: Springer.

Pan, J., Chen, S., & Nguyễn, N. (2012). Intelligent Information and Database Systems. Berlin, Heidelberg: Springer Berlin Heidelberg.

Zhao, J., Plagge, R., Ramos, N., Lurdes Simões, M., & Grunewald, J. (2015). Concept for development of stochastic databases for building performance simulation – A material database pilot project. Building And Environment, 84, 189-203. https://dx.doi.org/10.1016/j.buildenv.2014.10.030

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