The document discusses different data models, including relational, object-oriented, XML, and graph models. It provides an overview of each model's data structures, integrity constraints, and data manipulation operations. The relational model is described in more detail, covering its evolution, relationships, closure properties, and deficiencies in complex applications. Other logical data models like entity-relationship, semantic, and functional models are also briefly introduced.
Here are a few key points that could be avoided through database technology and responsible departments:
- Prescription drug databases could track a patient's medications across different providers and flag potential drug interactions. This would require databases accessible by different healthcare organizations.
- Government health agencies would need to regulate and help coordinate such prescription drug databases. In the US, the Food and Drug Administration and Centers for Medicare and Medicaid Services could play a role.
- Individual healthcare providers also have a responsibility to access prescription histories from other providers, through available databases, before writing new prescriptions to avoid harmful interactions.
- With proper access controls and privacy protections, consolidated medication databases could help providers make more informed prescribing decisions and improve patient safety by preventing adverse
The document discusses different data models, including relational, object-oriented, XML, and graph models. It provides an overview of each model's data structures, integrity constraints, and data manipulation operations. The relational model is described in more detail, covering its evolution, relationships, closure properties, and deficiencies in complex applications. Other logical data models like entity-relationship, semantic, and functional models are also briefly introduced.
Here are a few key points that could be avoided through database technology and responsible departments:
- Prescription drug databases could track a patient's medications across different providers and flag potential drug interactions. This would require databases accessible by different healthcare organizations.
- Government health agencies would need to regulate and help coordinate such prescription drug databases. In the US, the Food and Drug Administration and Centers for Medicare and Medicaid Services could play a role.
- Individual healthcare providers also have a responsibility to access prescription histories from other providers, through available databases, before writing new prescriptions to avoid harmful interactions.
- With proper access controls and privacy protections, consolidated medication databases could help providers make more informed prescribing decisions and improve patient safety by preventing adverse
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第四章 關聯式資料模式的資料結構
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K I D C ur ricu lu m Ser iesK I D C ur ricu lu m Ser ies
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atabase
Information
K no wledge
D
atabase