Development of a Basic Electronic Pharmaceutical Health Record System in Python (Streamlit + SQLite + LGPD Compliance)

Development of a Basic Electronic Pharmaceutical Health Record System in Python (Streamlit + SQLite + LGPD Compliance) I am looking for a Python developer to create a simple, straightforward, and functional web-based Electronic Pharmaceutical Health Record (EHR) system for use in a clinical practice. The system must run via a local/browser-based interface (using Streamlit) and utilize an encrypted SQLite database to ensure compliance with the LGPD (Brazil’s General Data Protection Law). System Functional Requirements: 1. Authentication (Login) Screen: - A simple login screen for the healthcare professional, featuring secure password hashing (using bcrypt). - Basic session locking/timeout functionality. 2. Patient Registration and Search: - Registration form: Full name, CPF (Brazilian tax ID), date of birth, phone number, and notes/allergies. - Quick search for registered patients by name or CPF, with the ability to view their history of previous consultations. 3. Clinical Progress Note Module (S.O.A.P.): - A consultation form structured according to the four components of the SOAP method: * Subjective (S): Patient’s account, complaints, and treatment adherence. * Objective (O): Vital signs, blood glucose, blood pressure, test results, and current medications. * Assessment (A): Analysis of drug-related problems (DRPs) and pharmacotherapeutic needs. * Plan (P): Proposed actions, goals, and patient guidance. - A button to save the consultation record, linked to the patient’s profile. 4. PDF Document Generation (via Base64): - Generation of three pre-formatted PDF document templates: * Pharmaceutical Prescription * Laboratory Test Request * Referral / Clinical Intervention Letter - All documents must be generated in-memory and converted for direct download in the browser (using Data URI/Base64 encoding) with the help of libraries such as FPDF2 or ReportLab. - Automatically generate a header containing the professional's fixed information (Name, CRF [professional registration number], and Address), with space for a signature in the footer. 5. Security and LGPD (Data at Rest): - Storage in a local SQLite database. - Sensitive patient data and SOAP medical records must be encrypted at rest (using SQLCipher or by encrypting sensitive fields via the `cryptography/Fernet` library in Python). Deliverables: - Clean, well-commented, and organized Python source code. - A `requirements.txt` file listing all dependencies. - Simple instructions for local installation and execution (a `.bat` or `.sh` script to launch Streamlit with a single click). Required Technology Stack: - Language: Python 3.10+ - Web Interface: Streamlit - Database: SQLite + Encryption (SQLCipher or `cryptography` library) - PDF Generation: FPDF2 or ReportLab (output encoded in Base64) Budget and Timeline Information: - Engagement Type: Fixed Price (Closed-scope project) - Proposed Budget: $ 200.00 - Estimated Timeline: 7 days