The explanation of why a clinic database is important is well-articulated.
The choice of entities (Patient, Appointment, and Doctor) aligns with essential clinic operations.
Logical Structuring
The conceptual, logical, and physical models are well explained, showing an understanding of database design layers.
Use of primary keys (PKs) and foreign keys (FKs) to establish relationships is correctly implemented.
Efficient Relationship Management
The Appointment table is used as a bridge between Patient and Doctor, which prevents redundancy and ensures many-to-many relationships are properly tracked.
Explanation of NOT NULL constraints in the physical model demonstrates an understanding of data integrity.
Identification of Key Challenges
The difficulty in modeling doctor-patient relationships is a valid challenge.
The solution provided (linking via Appointments rather than directly storing relationships in Doctor or Patient tables) is a best practice.
Areas for Improvement
While NOT NULL constraints are mentioned, further details on:
Data validation (e.g., ensuring appointment dates are future dated).
Normalization Considerations
The document doesn’t specify whether normalization was considered to avoid redundancy.
Are there additional tables needed (e.g., Specializations Table for doctors, Visit Notes Table for past interactions)?
Indexing strategies for improving query performance (e.g., on PatientID, DoctorID, AppointmentID) should be briefly touched upon.
A very beautiful attempt in crearimg clinical visit model.
You developed a good conceptual and logical image.
The representation of the many to many relationships is on point.
I think the many to may relationship is all that is needed but if you want to store a patient doctor record. you could also do that using other entity like clinic record
2 thoughts on “Data Modeling Assignment – Local Clinic Data”
Strengths
Clear Domain Understanding
The explanation of why a clinic database is important is well-articulated.
The choice of entities (Patient, Appointment, and Doctor) aligns with essential clinic operations.
Logical Structuring
The conceptual, logical, and physical models are well explained, showing an understanding of database design layers.
Use of primary keys (PKs) and foreign keys (FKs) to establish relationships is correctly implemented.
Efficient Relationship Management
The Appointment table is used as a bridge between Patient and Doctor, which prevents redundancy and ensures many-to-many relationships are properly tracked.
Explanation of NOT NULL constraints in the physical model demonstrates an understanding of data integrity.
Identification of Key Challenges
The difficulty in modeling doctor-patient relationships is a valid challenge.
The solution provided (linking via Appointments rather than directly storing relationships in Doctor or Patient tables) is a best practice.
Areas for Improvement
While NOT NULL constraints are mentioned, further details on:
Data validation (e.g., ensuring appointment dates are future dated).
Normalization Considerations
The document doesn’t specify whether normalization was considered to avoid redundancy.
Are there additional tables needed (e.g., Specializations Table for doctors, Visit Notes Table for past interactions)?
Indexing strategies for improving query performance (e.g., on PatientID, DoctorID, AppointmentID) should be briefly touched upon.
A very beautiful attempt in crearimg clinical visit model.
You developed a good conceptual and logical image.
The representation of the many to many relationships is on point.
I think the many to may relationship is all that is needed but if you want to store a patient doctor record. you could also do that using other entity like clinic record