name ID admit_date SSN address phone Patient responsible Physician Room id {disjoint,complete) 0.2 Room assigned ISA bed# 1.1 out Patient resident Patient assigned bed (disjoint,complete} Checkback_date discharge_date ISA ICU bed Regular bed Provide a complete Relational Schema of the database described by the following Entity Relationship diagram. You must use Merge Rule whenever possible.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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The image contains an Entity-Relationship (ER) diagram for designing a database system, possibly for a hospital setting. Here's a detailed transcription and explanation:

### Entities and Attributes

1. **Patient**
   - Attributes: 
     - `ID`
     - `admit_date`

2. **Physician**
   - Attributes:
     - `SSN`
     - `name`
     - `address`
     - `phone`

3. **Room**
   - Attributes:
     - `Room_id`

4. **Bed**
   - Attributes:
     - `bed#`
   - Under the category of `bed`, there is a specialization into:
     - **ICU bed**
     - **Regular bed**

5. **Out Patient**
   - Attributes: 
     - `Checkback_date`

6. **Resident Patient**
   - Attributes:
     - `discharge_date`

### Relationships

- **Responsible**: Connects `Patient` to `Physician`. This indicates which physician is responsible for a given patient.
- **Assigned**: Connects `Room` to `Bed`, where each room can have zero to two beds (noted as 0..2), and each bed can be assigned to exactly one room.
- **ISA Relationships**:
   - Between `Patient` and its subtypes categorized as `Out Patient` and `Resident Patient` with conditions `{disjoint, complete}` indicating that a patient can only belong to one of these subcategories and every patient must belong to one.
   - Between `Bed` and its subtypes `ICU bed` and `Regular bed`, also with `{disjoint, complete}`, indicating similar exclusivity and completeness.

### Instructions

The instruction provided is: "Provide a complete Relational Schema of the database described by the following Entity Relationship diagram. You must use Merge Rule whenever possible." 

This calls for translating this ER diagram into a relational schema, optimizing by merging tables where appropriate using rules of database normalization and merger of entities/attributes in relational database design.
Transcribed Image Text:The image contains an Entity-Relationship (ER) diagram for designing a database system, possibly for a hospital setting. Here's a detailed transcription and explanation: ### Entities and Attributes 1. **Patient** - Attributes: - `ID` - `admit_date` 2. **Physician** - Attributes: - `SSN` - `name` - `address` - `phone` 3. **Room** - Attributes: - `Room_id` 4. **Bed** - Attributes: - `bed#` - Under the category of `bed`, there is a specialization into: - **ICU bed** - **Regular bed** 5. **Out Patient** - Attributes: - `Checkback_date` 6. **Resident Patient** - Attributes: - `discharge_date` ### Relationships - **Responsible**: Connects `Patient` to `Physician`. This indicates which physician is responsible for a given patient. - **Assigned**: Connects `Room` to `Bed`, where each room can have zero to two beds (noted as 0..2), and each bed can be assigned to exactly one room. - **ISA Relationships**: - Between `Patient` and its subtypes categorized as `Out Patient` and `Resident Patient` with conditions `{disjoint, complete}` indicating that a patient can only belong to one of these subcategories and every patient must belong to one. - Between `Bed` and its subtypes `ICU bed` and `Regular bed`, also with `{disjoint, complete}`, indicating similar exclusivity and completeness. ### Instructions The instruction provided is: "Provide a complete Relational Schema of the database described by the following Entity Relationship diagram. You must use Merge Rule whenever possible." This calls for translating this ER diagram into a relational schema, optimizing by merging tables where appropriate using rules of database normalization and merger of entities/attributes in relational database design.
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