import streamlit as st

st.set_page_config(page_title="How Doctors Benefit", page_icon="🩺", layout="wide")

st.title("🩺 How Doctors Benefit — Productivity, Safety & Patient Experience")
st.caption("A detailed explanation of how MedicalAI improves the daily workflow, efficiency, and outcomes for clinicians.")

# INTRO
st.markdown("""
Gynaecologists face enormous workload pressures:
- High OPD volume  
- Limited consultation time  
- Manual documentation burden  
- Patients with incomplete histories  
- Rising complexity of guidelines  
- Medicolegal stress  

MedicalAI acts as a **clinical co-pilot** — supporting doctors before, during, and after each consultation.

Here is a deep look into the tangible benefits for doctors.
""")

# SECTION 1 — TIME SAVING
st.markdown("""
---
## ⏱️ 1. Time Savings & OPD Efficiency

OPD doctors typically get **3–7 minutes per patient**.

MedicalAI helps by:
- Summarizing patient complaints automatically  
- Suggesting initial assessments  
- Preparing SOAP notes in advance  
- Flagging missing information  
- Generating follow-up plans  

### Real-time Examples
**Before AI:**  
Doctor must manually ask, interpret, document.

**With MedicalAI:**  
- Patient narration understood instantly  
- AI suggests follow-up questions  
- Doctor gets structured summary  
- Less writing, more interaction  

This can reduce OPD time per patient by **30–50%**.
""")

# SECTION 2 — SAFETY
st.markdown("""
---
## 🛡️ 2. Increased Clinical Safety & Fewer Missed Red Flags

Doctors sometimes miss early warnings because:
- OPD is crowded  
- Patient gives incomplete history  
- Notes get rushed  
- Time pressure reduces depth of questioning  

MedicalAI always checks for:
- Severe unilateral pelvic pain  
- Syncope  
- Heavy bleeding  
- Fever  
- Severe nausea/vomiting  
- Pregnancy concerns  

If any red flag is even *hinted*, AI prompts the doctor.  
This acts as a **real-time safety net**.

Hospitals and clinics benefit from reduced medicolegal risk.
""")

# SECTION 3 — CONSISTENCY
st.markdown("""
---
## 📋 3. Consistent, Standardized Decision Support

Doctors vary in:
- Style  
- Depth of questioning  
- Documentation  
- Clinical approach  

MedicalAI helps maintain **consistency**:
- Same baseline guidelines  
- Same red flag detection  
- Same structured SOAP output  
- Same citation-backed reasoning  

This is especially valuable for:
- Multi-doctor clinics  
- Hospital chains  
- Franchise clinics  
- Telemedicine centers  

Standardization improves clinical quality.
""")

# SECTION 4 — DOCUMENTATION
st.markdown("""
---
## 📝 4. Automatic, High-Quality Documentation

Documentation is often the **most painful** part of OPD consultations.

MedicalAI:
- Writes SOAP notes  
- Summarizes patient complaints  
- Adds context  
- Highlights key symptoms  
- Prepares follow-up recommendations  

The doctor only needs to review and approve.

This reduces:
- End-of-day admin burden  
- Fatigue  
- Errors  
- Missed details  

And increases:
- Report clarity  
- Readability  
- Legal protection  
""")

# SECTION 5 — PATIENT EXPERIENCE
st.markdown("""
---
## 😊 5. Better Patient Experience

Patients feel more satisfied when:
- Doctor listens actively  
- Doctor explains clearly  
- There is confidence in reasoning  
- Red flags and educational points are provided  

MedicalAI supports this by:
- Handling routine questioning  
- Giving structured answers  
- Highlighting important points the doctor can reinforce  
- Reducing rushed interactions  

Patients perceive the doctor as:
- More attentive  
- More thorough  
- More knowledgeable  
- More caring  
""")

# SECTION 6 — MULTILINGUAL
st.markdown("""
---
## 🌐 6. Local Language Support (Future)

Doctors across India deal with:
- Hindi  
- Bengali  
- Punjabi  
- Tamil  
- Telugu  
- Marathi  
- Odia  

Future versions of MedicalAI will support:
- Local language patient input  
- Local language output  
- Regional terminology  

This gives massive adoption potential.
""")

# SECTION 7 — SCALABILITY
st.markdown("""
---
## 📈 7. Scale for Clinics, Chains & Hospitals

MedicalAI can scale to:
- Solo clinicians  
- Small nursing homes  
- Large speciality clinics  
- Hospital OPDs  
- Telemedicine providers  
- Corporate health chains  

Because it runs on:
- CPU  
- Low-cost servers  
- HuggingFace Spaces  
- On-premise deployments  

It can serve **10 to 10,000 doctors** with the same backend architecture.
""")

# SECTION 8 — DECISION SUPPORT
st.markdown("""
---
## 🧠 8. Clinical Decision Support (Future Capabilities)

MedicalAI can evolve into a **full CDS engine**, providing:
- Differential diagnosis suggestions  
- Risk scoring  
- Lab selection guidance  
- Follow-up interval intelligence  
- Investigations checklist  
- Medication screening for pregnancy/lactation safety  

All evidence-backed.

This improves:
- Diagnostic accuracy  
- Patient outcomes  
- Treatment consistency  
""")

# SECTION 9 — DOCTOR MORALE
st.markdown("""
---
## ❤️ 9. Reduced Burnout & Better Work-Life Balance

Documentation, repetitive explanations, and heavy OPD load contribute significantly to burnout.

MedicalAI:
- Automates repetitive tasks  
- Reduces cognitive load  
- Prevents decision fatigue  
- Acts as a smart junior resident  
- Saves hours of admin time  

Doctors can spend more time with:
- Family  
- Research  
- Complex cases  
- Personal well-being  
""")

# END
st.markdown("---")
st.success("This page explains in depth how MedicalAI improves doctor workflow, efficiency, safety, and patient satisfaction.")