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import streamlit as st
import time
# Set the page configuration for a wide view
st.set_page_config(layout="wide")
def display_flashcard(main_point, subpoints):
# Use large fonts to display the flashcards
st.markdown(f"<h1 style='text-align: center;'>{main_point}</h1>", unsafe_allow_html=True)
for subpoint in subpoints:
st.markdown(f"<h2 style='text-align: center;'>{subpoint}</h2>", unsafe_allow_html=True)
time.sleep(10)
def main():
# CHARMSED outline
outline = {
"Coder π»": [
"Health Informatics Specialist: Manage and analyze health data to improve patient care.",
"Clinical Software Engineer: Design and maintain software solutions for healthcare institutions.",
"Medical Data Scientist: Analyze patient and clinical data for actionable insights."
],
"Humanities Expert π": [
"Medical Ethicist: Address ethical issues arising in medical practice and research.",
"Patient Advocate: Represent and support patients' rights and interests.",
"Healthcare Historian: Study and interpret the history of medicine and healthcare."
],
"Analyst π€": [
"Healthcare Data Analyst: Process and analyze health data for decision-making.",
"Epidemiologist: Study disease patterns and develop strategies for prevention.",
"Behavioral Health Analyst: Assess and interpret behavioral health data to guide treatment."
],
"Roleplay Expert π": [
"Medical Simulation Specialist: Design and execute simulations for medical training.",
"Patient Experience Trainer: Educate healthcare staff on improving patient interactions.",
"Clinical Psychologist: Understand and address patient behaviors and mental health needs."
],
"Mathematician β": [
"Biostatistician: Apply statistical methods to biological and health data.",
"Health Economist: Analyze the economic aspects of health and healthcare.",
"Medical Research Scientist: Develop and apply mathematical models in medical research."
],
"STEM Expert π¬": [
"Biomedical Engineer: Design and develop medical devices and technologies.",
"Pharmaceutical Researcher: Study and develop new drugs for patient care.",
"Clinical Laboratory Scientist: Conduct tests and procedures to diagnose diseases."
],
"Extraction Expert π": [
"Medical Librarian: Manage and provide access to medical literature and resources.",
"Clinical Documentation Specialist: Ensure the accuracy and completeness of patient records.",
"Medical Researcher: Extract and interpret data from medical studies to provide insights."
],
"Drafter π": [
"Medical Writer: Produce clear and accurate documentation for medical research and publications.",
"Healthcare Educator: Develop and deliver educational content for patients and professionals.",
"Clinical Documentation Editor: Ensure clarity and coherence in patient records and clinical documentation."
]
}
# Iterate through the outline to display each flashcard
for main_point, subpoints in outline.items():
display_flashcard(main_point, subpoints)
# Run the Streamlit app
if __name__ == "__main__":
main()
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