Update pages/02_Workflow_UI.py
Browse files- pages/02_Workflow_UI.py +96 -35
pages/02_Workflow_UI.py
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@@ -30,6 +30,7 @@ from src.explainability import text_hash, normalize_text, is_stale
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from src.guideline_annotator import generate_guideline_rationale
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from src.ai_core import generate_soap_draft
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from src.model_loader import active_model_status
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# --------------------------- Page Setup ---------------------------------
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@@ -132,44 +133,64 @@ def _latest_export(case_id: str, pattern_suffix: str) -> Optional[Path]:
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matches = sorted(exp.glob(f"EC-{case_id}_*{pattern_suffix}"), key=lambda p: p.stat().st_mtime)
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return matches[-1] if matches else None
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-
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p = case.get("patient", {}) or {}
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header = (
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f"#
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f"
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)
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f"\n
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f"
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)
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-
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if guideline_points:
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bullets = "\n".join([f"- {pt}" for pt in guideline_points])
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if endnotes:
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cites = "\n
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[f"- [{e.get('n', i+1)}] {e.get('doc','Guideline')}"
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)
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items = store.list_cases()
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if not items:
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_seed_once()
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items = store.list_cases()
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return items
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def _get_case(case_id: str) -> Dict[str, Any]:
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return store.read_case(case_id) or {}
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# --------------------------- Global callouts --------------------------------
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@@ -502,9 +523,9 @@ with tab_bill:
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st.subheader("EHR Consultation Note")
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note_path = _latest_export(selected, "Sample Consultation Report.md")
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if note_path and note_path.exists():
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with st.expander("π View EHR Consultation Note
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md = note_path.read_text(encoding="utf-8")
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st.
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st.caption(f"File: {note_path.name}")
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else:
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st.warning("No consultation note found for this case. Finalize the consult to generate one.")
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@@ -527,6 +548,33 @@ with tab_bill:
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st.write(f"{icon} **{s.code}** β {s.descriptor} β ${s.rate:.2f}")
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st.caption(s.why)
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chosen_default = b.get("cpt_code") or (elig_codes[0] if elig_codes else None)
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if elig_codes:
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chosen = st.selectbox("Choose CPT (eligible)", options=elig_codes, index=elig_codes.index(chosen_default) if (chosen_default in elig_codes) else 0, key=f"cpt_{selected}")
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@@ -539,16 +587,29 @@ with tab_bill:
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submit_claim = st.button("Submit Claim", type="primary", disabled=not (chosen and att_claim), key=f"submit_claim_{selected}")
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if submit_claim and chosen:
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# Persist chosen code
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store.update_case(selected, {
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pick = next((s for s in suggestions if s.code == chosen), None)
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rate = float(getattr(pick, "rate", 0.0)) if pick else 0.0
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claim = billing.build_837_claim(
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claim_path = config.make_export_path(selected, "Sample 837 Json.json")
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Path(claim_path).write_text(json.dumps(claim, ensure_ascii=False, indent=2), encoding="utf-8")
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st.success("Claim submitted. 837 JSON generated (see preview below).")
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st.caption(f"Claim: {claim_path.name}")
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from src.guideline_annotator import generate_guideline_rationale
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from src.ai_core import generate_soap_draft
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from src.model_loader import active_model_status
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from datetime import datetime
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# --------------------------- Page Setup ---------------------------------
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matches = sorted(exp.glob(f"EC-{case_id}_*{pattern_suffix}"), key=lambda p: p.stat().st_mtime)
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return matches[-1] if matches else None
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def _note_markdown(case: Dict[str, Any], summary: str, soap: Dict[str, str],
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guideline_points: List[str], endnotes: List[Dict[str, Any]]) -> str:
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"""Generate formatted EHR-style consultation report (matches sample format)."""
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p = case.get("patient", {}) or {}
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c = case.get("consult", {}) or {}
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consult_id = case.get("case_id", "")
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today = datetime.utcnow().strftime("%B %d, %Y")
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patient_line = f"**Patient:** {p.get('name','Unknown')} ({p.get('sex','')}, {p.get('age','')})"
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specialty = c.get("specialty") or "Cardiology"
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question = c.get("question") or ""
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referring = c.get("referrer") or "Referring provider not specified"
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header = (
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f"# {specialty} E-Consult Report\n\n"
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f"{patient_line} \n"
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f"**Consult ID:** {consult_id} \n"
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f"**Date:** {today} \n"
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f"**Specialty:** {specialty} \n"
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f"**Referring Provider:** {referring}\n\n"
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"---\n\n"
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)
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referral_section = ""
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if question:
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referral_section += f"### Referral Question\n> {question.strip()}\n\n"
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if summary.strip():
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referral_section += f"### Clinical Summary\n{summary.strip()}\n\n---\n\n"
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soap_section = (
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f"### Subjective\n{(soap.get('subjective') or '').strip()}\n\n"
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f"### Objective\n{(soap.get('objective') or '').strip()}\n\n"
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f"### Assessment\n{(soap.get('assessment') or '').strip()}\n\n"
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f"### Plan\n{(soap.get('plan') or '').strip()}\n\n---\n\n"
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)
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guideline_section = ""
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if guideline_points:
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bullets = "\n".join([f"- {pt}" for pt in guideline_points])
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guideline_section = f"### Guideline Alignment\n{bullets}\n\n---\n\n"
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endnote_section = ""
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if endnotes:
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cites = "\n".join(
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[f"- [{e.get('n', i+1)}] {e.get('doc','Guideline')}"
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+ (f" p.{e.get('page','')}" if e.get('page') else "") for i, e in enumerate(endnotes)]
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)
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endnote_section = f"### References\n{cites}\n\n---\n\n"
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attestation = (
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"### Consulting Clinician Attestation\n"
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"I personally reviewed the provided information, generated this report, "
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"and confirm that I spent the documented time reviewing and documenting this e-consult.\n"
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)
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return header + referral_section + soap_section + guideline_section + endnote_section + attestation
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# --------------------------- Global callouts --------------------------------
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st.subheader("EHR Consultation Note")
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note_path = _latest_export(selected, "Sample Consultation Report.md")
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if note_path and note_path.exists():
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with st.expander("π View EHR Consultation Note", expanded=True):
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md = note_path.read_text(encoding="utf-8")
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st.markdown(md) # render formatted markdown, not raw text
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st.caption(f"File: {note_path.name}")
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else:
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st.warning("No consultation note found for this case. Finalize the consult to generate one.")
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st.write(f"{icon} **{s.code}** β {s.descriptor} β ${s.rate:.2f}")
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st.caption(s.why)
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# --- ICD-10 diagnosis suggestions (new) ---
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from src.billing import autosuggest_icd # top of file already imports billing; safe to import here too
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soap_now = case.get("soap_draft", {}) or {}
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icd_suggestions = autosuggest_icd(
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assessment_text=soap_now.get("assessment", ""),
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plan_text=soap_now.get("plan", "")
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)
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st.markdown("**ICD-10 Diagnosis Suggestions**")
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if icd_suggestions:
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for s in icd_suggestions:
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st.write(f"β
**{s.code}** β {s.description} (confidence {int(s.confidence*100)}%)")
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st.caption(s.why)
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# Allow user to choose 1β3 codes
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icd_options = [f"{s.code} β {s.description}" for s in icd_suggestions]
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picked_icd = st.multiselect(
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"Select diagnosis code(s) to include on the claim",
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options=icd_options,
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default=icd_options[:1],
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key=f"icd_sel_{selected}"
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)
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picked_icd_codes = [o.split(" β ")[0] for o in picked_icd]
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else:
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st.info("No ICD-10 suggestions available for this case.")
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picked_icd_codes = []
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chosen_default = b.get("cpt_code") or (elig_codes[0] if elig_codes else None)
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if elig_codes:
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chosen = st.selectbox("Choose CPT (eligible)", options=elig_codes, index=elig_codes.index(chosen_default) if (chosen_default in elig_codes) else 0, key=f"cpt_{selected}")
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submit_claim = st.button("Submit Claim", type="primary", disabled=not (chosen and att_claim), key=f"submit_claim_{selected}")
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if submit_claim and chosen:
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# Persist chosen code + ICD selections
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store.update_case(selected, {
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"billing": {
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"cpt_code": chosen,
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"icd_codes": picked_icd_codes, # NEW: persist ICDs in case JSON
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}
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})
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# Build and save 837 JSON (includes ICD codes)
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pick = next((s for s in suggestions if s.code == chosen), None)
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rate = float(getattr(pick, "rate", 0.0)) if pick else 0.0
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claim = billing.build_837_claim(
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case,
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code=str(chosen),
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rate=rate,
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minutes=minutes,
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spoke=bool(spoke),
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attested=True,
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icd_codes=picked_icd_codes, # NEW: include ICD list in claim
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)
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claim_path = config.make_export_path(selected, "Sample 837 Json.json")
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Path(claim_path).write_text(json.dumps(claim, ensure_ascii=False, indent=2), encoding="utf-8")
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st.success("Claim submitted. 837 JSON generated (see preview below).")
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st.caption(f"Claim: {claim_path.name}")
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