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This user-friendly system tackles the challenge of managing diverse hospital data by centralizing information and empowering stakeholders with intuitive access.

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doshiharmish/DBMS-MedicalRocket-Hospital-Management-System

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MedicalRocket

Overview:

This user-friendly system tackles the challenge of managing diverse hospital data by centralizing information and empowering stakeholders with intuitive access.

Key Features & Objectives

  • Efficient Administration Management: Streamline the management of employees and patients, enhancing administrative efficiency.
  • Unified Medical Records: Grant patients and authorized personnel secure access to comprehensive medical data.
  • Medicine Inventory Tracking: Keep precise track of medicines sold by the hospital store, ensuring accurate inventory management.

Project Execution

  • Data Collection and Entity Identification: Identified entities and relationships, documented in the ER-Data requirements sheet.
  • Conceptual and Logical Model Design: Developed using draw.io to visualize the relationships.

Conceptual Model:

Conceptual_Diagram

Logical Model:

Logical_Model

  • Database Implementation: Executed SQL scripts based on the designed models to create the database structure.
  • User Interface Creation: Utilized Microsoft PowerApps to create a flexible and user-friendly interface. For a detailed visual representation of the proposed application screens, please refer to the attached 'medical_rocket_screens.pdf' file.

Implemented User Stories

User Story 1: Doctor Prescribing Lab Tests

Using Power Apps, we created a user story allowing doctors to prescribe lab tests. Here's the process:

  1. Doctor Login: After logging in with their credentials, the doctor navigates to the employee section.
  2. Patient List Display: The doctor views a list of patients and selects a patient to prescribe tests.
  3. Test Prescription: The doctor prescribes necessary tests from the patient's profile.
  4. Procedure Invocation: Upon form submission, a procedure is triggered via Microsoft Automate Flow, supporting the prescription process.

image

User Story 2: Lab Technician Generating Lab Results

For lab technicians to generate lab results, we crafted a user story within Power Apps along with relevant procedures:

  1. Lab Technician Login: The lab technician accesses the employee section after authentication.
  2. Patient Test List: A list of patients prescribed tests by doctors is displayed.
  3. Result Generation: The lab technician accesses patient test details and generates test results.
  4. Procedure Execution: Similar to the doctor's scenario, submitting the form triggers a procedure via Microsoft Automate Flow, enabling result generation.

image

User Story 3: Patient Viewing Lab Results

Patients can conveniently view their lab results through Power Apps, supported by a created view:

  1. Patient Login: Patients log in using their credentials, accessing the patient section.
  2. Result Display: Patients view the results of lab tests prescribed by doctors from their profiles.
  3. Accessibility: Lab results are displayed for the patient's perusal.
  4. Automate Flow Trigger: Upon form submission, a process facilitated by Microsoft Automate Flow allows access to the desired lab results.

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Assumptions

  • Universal Insurance Coverage: All patients admitted to the hospital are assumed to possess comprehensive insurance coverage, ensuring comprehensive medical support.
  • Medication Procurement: We have assumed that all prescribed medications are exclusively sourced from the hospital's store. This ensures consistent and controlled access to medicines for patient treatment.

Execution Flow for DBMS Files:

  1. Table Creation Script: Run Table_Creation_Script.sql to generate the database structure.
  2. Data Logic Scripts: Execute Data_Logic_scripts.sql to implement data logic and functionalities.
  3. Values Insertion Scripts: Use Values_Insert_Scripts.sql to populate the database with initial or sample data values.

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This user-friendly system tackles the challenge of managing diverse hospital data by centralizing information and empowering stakeholders with intuitive access.

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