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Update spine_coder/spine_coder_core.py
Browse files- spine_coder/spine_coder_core.py +107 -99
spine_coder/spine_coder_core.py
CHANGED
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@@ -1,13 +1,11 @@
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# spine_coder_core_pro.py
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# Vertebro FINAL-v2.2-PRO
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# Core utilities, text normalization, level parsing, region classification
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import re, json
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from typing import Dict, Any, List, Tuple
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# βββββββββββββββββββββββββββββββββββββββββββββ
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# TEXT NORMALIZATION
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# βββββββββββββββββββββββββββββββββββββββββββββ
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def _norm(s: str) -> str:
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"""Clean unicode dashes, normalize spaces, lowercase text."""
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if not s:
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@@ -21,9 +19,7 @@ def _has(text: str, pat: str) -> bool:
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return re.search(pat, text, flags=re.I) is not None
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# βββββββββββββββββββββββββββββββββββββββββββββ
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# LEVEL AND REGION LOGIC
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# βββββββββββββββββββββββββββββββββββββββββββββ
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_ORDER = ["C", "T", "L", "S"]
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_MAXNUM = {"C": 7, "T": 12, "L": 5, "S": 5}
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@@ -33,16 +29,14 @@ def _level_sort_key(lv: str) -> Tuple[int, int]:
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num = int(re.sub(r"\D", "", lv) or 0)
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return (band, num)
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_SPAN
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_SINGLE = re.compile(r"\b([CTLS])\s?(\d{1,2})\b", re.I)
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def _expand_across_regions(p1: str, n1: int, p2: str, n2: int) -> List[str]:
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"""Inclusive sequence from (p1,n1) to (p2,n2), crossing C/T/L/S boundaries."""
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p1, p2 = p1.upper(), p2.upper()
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out = []
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j = _ORDER.index(p2)
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r = i
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num = n1
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while True:
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out.append(f"{_ORDER[r]}{num}")
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@@ -99,9 +93,7 @@ def _classify_region(levels: List[str]) -> str:
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return "mixed"
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# βββββββββββββββββββββββββββββ
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# LATERALITY AND MODIFIERS
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# βββββββββββββββββββββββββββββββββββββββββββββ
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def _laterality_and_modifiers(note: str) -> Tuple[str, List[str]]:
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"""Force midline for spine work; suppress invalid -50."""
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t = _norm(note)
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@@ -115,25 +107,23 @@ def _laterality_and_modifiers(note: str) -> Tuple[str, List[str]]:
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return "midline", []
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# βββββββββββββββββββββββββββββββββββββββββββββ
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AUTO_LOCAL_KW = r"\b(local\s+autograft|spinous\s+process\s+bone|lamina\s+bone\s+retained|morselized\s+autograft)\b"
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AUTO_SEP_KW = r"\b(iliac\s+crest|separate\s+incision|rib\s+graft|harvested\s+from\s+iliac)\b"
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#
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# spine_coder_core_pro.py
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# Vertebro FINAL-v2.2-PRO
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# CPT reasoning logic and inference tree
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# βββββββββββββββββββββββββββββββββββββββββββββ
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# INSTRUMENTATION SPAN HELPER
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# βββββββββββββββββββββββββββββββββββββββββββββ
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def _inst_code_by_span(span: int, anterior: bool) -> str:
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"""Return instrumentation CPT code based on span length."""
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if span <= 1:
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return "22842" if span <= 3 else ("22843" if span <= 7 else "22844")
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# βββββββββββββββββββββββββββββββββββββββββββββ
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# CORE CPT INFERENCE ENGINE
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# βββββββββββββββββββββββββββββββββββββββββββββ
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def _infer_cpts(note: str, region: str, levels: List[str]) -> List[Dict[str, Any]]:
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"""Return CPT dictionary list with rationale and confidence."""
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t = _norm(note)
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out: List[Dict[str, Any]] = []
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inters = _count_interspaces(levels)
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span = max(inters + 1, 2)
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conf = 0.85
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def add(cpt: str, desc: str, rationale: str, cat: str, conf: float = 0.85, primary: bool = False):
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out.append({
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"cpt": cpt,
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"
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"rationale": rationale,
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"category": cat,
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"confidence": round(conf, 2),
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"primary": primary
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})
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#
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if _has(t, r"laminectomy|decompression|facetectomy|foraminotomy"):
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base_map = {"cervical": "63045", "thoracic": "63046", "lumbar": "63047"}
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base = base_map.get(region, "63047")
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add("63048", f"Each additional level Γ{inters}",
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"Multi-level decompression inferred.", "decompression add-on", 0.82)
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#
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if _has(t, FUSION_KW):
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base_map = {"cervicothoracic": "22600", "cervical": "22600",
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"thoracic": "22610", "lumbar": "22630", "lumbosacral": "22612"}
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add("22614", f"Each additional level Γ{inters}",
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"Multi-level fusion extension.", "fusion add-on", 0.84)
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#
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if _has(t, INSTR_KW):
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code = _inst_code_by_span(span, anterior=False)
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desc = {
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"22843": "Posterior segmental instrumentation (4β7 segments)",
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"22844": "Posterior segmental instrumentation (8+ segments)"
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}.get(code, "Posterior instrumentation")
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"instrumentation
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#
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if _has(t, NAV_KW):
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add("61783", "Intraoperative navigation (image-guided)",
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"Navigation terms detected (Ziehm/O-arm/3D spin).", "navigation", 0.82)
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#
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if _has(t, AUTO_SEP_KW):
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add("20937", "Autograft, separate incision",
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"Iliac crest or separate-site autograft documented.", "graft", 0.
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elif _has(t, AUTO_LOCAL_KW):
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add("20936", "Autograft, local (same incision)",
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"Local autograft material retained.", "graft", 0.
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if _has(t,
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add("20930", "Allograft, morselized / DBM",
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"Allograft or DBM usage detected.", "graft", 0.
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#
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if _has(t, r"remov(ed|al).*instrument"):
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add("22852", "Removal of posterior instrumentation",
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"Hardware removal/explantation documented.", "hardware_removal", 0.84, True)
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return out
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# βββββββββββββββββββββββββββββββββββββββββββββ
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# SPECIALTY PACKS (Tumor / Deformity / Stimulator / Kyphoplasty / Revision)
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# βββββββββββββββββββββββββββββββββββββββββββββ
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def _apply_specialty_packs(note: str, region: str, inters: int, levels: List[str]) -> List[Dict[str, Any]]:
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"""Return CPTs from specialty packs layered onto base logic."""
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t = _norm(note)
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def add(cpt, desc, rationale, cat, conf=0.84, primary=False):
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extra.append({
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"cpt": cpt,
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"
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"rationale": rationale,
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"category": cat,
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"confidence": round(conf, 2),
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"primary": primary
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})
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# Tumor / corpectomy
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"Multi-segment corpectomy.", "tumor/corpectomy add-on", 0.83)
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# Deformity / osteotomy
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if _has(t, r"
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base = {"cervical": "22210", "thoracic": "22214", "lumbar": "22206"}.get(region, "22206")
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add(base, "Posterior column osteotomy, first level",
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"Deformity correction (SPO/osteotomy) documented.", "deformity", 0.84, True)
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if inters > 0:
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add(str(int(base) + 1), f"Each additional level Γ{inters}",
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"Multi-level osteotomy.", "deformity add-on", 0.
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# Stimulator
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if _has(t, r"stimulator|paddle lead|scs"):
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"Kyphoplasty/vertebroplasty terms found.", "augmentation", 0.84, True)
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if inters > 0:
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add("22515", f"Each additional level Γ{inters}",
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"Multi-level augmentation.", "augmentation add-on", 0.
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# Revision instrumentation
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if _has(t, r"revision of instrumentation|reinsert|remove and replace"):
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return extra
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### --- END OF BLOCK 2 --- ###
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# spine_coder_core_pro.py
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# Vertebro FINAL-v2.2-PRO
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# Output builder
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# βββββββββββββββββββββββββββββββββββββββββββββ
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# MAIN OUTPUT ASSEMBLER
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# βββββββββββββββββββββββββββββββββββββββββββββ
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# βββββββββββββββββββββββββββββββββββββββββββββ
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# MAIN OUTPUT ASSEMBLER (v2.2-PRO with top_k + BC alias)
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# βββββββββββββββββββββββββββββββββββββββββββββ
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def vertebro_infer(note: str, payer: str = "Medicare", top_k: int = 10) -> Dict[str, Any]:
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"""Master inference wrapper β merges base logic + specialty packs.
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`top_k` kept for HF UI/backward compatibility; rows are truncated to top_k after scoring.
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inters = _count_interspaces(levels)
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laterality, mods = _laterality_and_modifiers(t)
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#
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base_rows
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extra_rows = _apply_specialty_packs(t, region, inters, levels)
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rows = base_rows + extra_rows
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#
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merged: Dict[tuple, Dict[str, Any]] = {}
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for r in rows:
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key = (r["cpt"], r["category"])
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merged[key] = r.copy()
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else:
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merged[key]["confidence"] = round(max(merged[key]["confidence"], r["confidence"]), 2)
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merged[key]["rationale"]
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rows = list(merged.values())
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rows.sort(key=lambda r: (-r.get("confidence", 0.0), r.get("primary", False) is False, r["cpt"]))
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#
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flags_map = {
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"microscope": _has(t, r"\bmicroscope\b|microdissection"),
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"nav":
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"io_monitor": _has(t, r"\bneuromonitor|ssep|emg|monitoring\b"),
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"fluoro":
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}
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tech_flags = [k for k, v in flags_map.items() if v]
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#
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if tech_flags:
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tech_txt = f" (Tech: {', '.join(tech_flags)})"
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for r in rows:
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if r.get("primary", False):
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r["rationale"] = (r.get("rationale", "") + tech_txt).strip()
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#
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try:
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k = int(top_k)
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if k > 0:
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except Exception:
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pass
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#
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return {
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"payer": payer,
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"region": region,
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suggest_with_cpt_billing = vertebro_infer
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# βββββββββββββββββββββββββββββββββββββββββββββ
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# CLI / HF Space TEST ENTRYPOINT
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# βββββββββββββββββββββββββββββββββββββββββββββ
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if __name__ == "__main__":
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sample = """
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Preoperative Diagnosis: C3βC6 stenosis with myelopathy.
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Procedure:
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"""
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print(json.dumps(result, indent=2))
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# Backward compatibility for old app versions
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suggest_with_cpt_billing = vertebro_infer
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# spine_coder_core_pro.py
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# Vertebro FINAL-v2.2-PRO (Block 1/4)
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# Core utilities, text normalization, level parsing, region classification
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import re, json
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from typing import Dict, Any, List, Tuple
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# ββ Text normalization ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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def _norm(s: str) -> str:
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"""Clean unicode dashes, normalize spaces, lowercase text."""
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if not s:
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return re.search(pat, text, flags=re.I) is not None
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# ββ Levels & region ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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_ORDER = ["C", "T", "L", "S"]
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_MAXNUM = {"C": 7, "T": 12, "L": 5, "S": 5}
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num = int(re.sub(r"\D", "", lv) or 0)
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return (band, num)
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_SPAN = re.compile(r"\b([CTLS])\s?(\d{1,2})\s*[-β]\s*([CTLS])?\s?(\d{1,2})\b", re.I)
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_SINGLE = re.compile(r"\b([CTLS])\s?(\d{1,2})\b", re.I)
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def _expand_across_regions(p1: str, n1: int, p2: str, n2: int) -> List[str]:
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"""Inclusive sequence from (p1,n1) to (p2,n2), crossing C/T/L/S boundaries."""
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p1, p2 = p1.upper(), p2.upper()
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out = []
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r = _ORDER.index(p1)
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|
|
|
| 40 |
num = n1
|
| 41 |
while True:
|
| 42 |
out.append(f"{_ORDER[r]}{num}")
|
|
|
|
| 93 |
return "mixed"
|
| 94 |
|
| 95 |
|
| 96 |
+
# ββ Laterality & modifiers (spine midline default) βββββββββββββββββββββββββββ
|
|
|
|
|
|
|
| 97 |
def _laterality_and_modifiers(note: str) -> Tuple[str, List[str]]:
|
| 98 |
"""Force midline for spine work; suppress invalid -50."""
|
| 99 |
t = _norm(note)
|
|
|
|
| 107 |
return "midline", []
|
| 108 |
|
| 109 |
|
| 110 |
+
# ββ Base flag patterns βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 111 |
+
FUSION_KW = r"\b(arthrodesis|fusion|t?lif|alif|plif|xlif|interbody\s+cage|peek\s+cage|structural\s+cage)\b"
|
| 112 |
+
INSTR_KW = r"\b(pedicle\s+screws?|lateral\s+mass\s+screws?|rods?|set\s+screws?|instrument(?:ed|ation))\b"
|
| 113 |
+
NAV_KW = r"\b(navigation|navigated|o-?arm|ziehm|3d\s+spin)\b"
|
| 114 |
+
ALLO_KW = r"\b(allograft|dbm|demineralized\s+bone\s+matrix)\b"
|
| 115 |
+
AUTO_LOCAL_KW = r"\b(local\s+autograft|spinous\s+process\s+bone|lamina\s+bone\s+retained|morselized\s+autograft)\b"
|
| 116 |
+
AUTO_SEP_KW = r"\b(iliac\s+crest|separate\s+incision|rib\s+graft|harvested\s+from\s+iliac)\b"
|
|
|
|
|
|
|
| 117 |
|
| 118 |
+
# ACDF recognition
|
| 119 |
+
ACDF_KW = r"(anterior cervical discectomy|acdf|smith[- ]?robinson|anterior cervical fusion)"
|
| 120 |
+
ACDF_SUPPORT = r"(interbody|cage|peek|dbm|allograft|arthrodesis|plate|plating)"
|
| 121 |
|
| 122 |
# spine_coder_core_pro.py
|
| 123 |
+
# Vertebro FINAL-v2.2-PRO (Block 2/4)
|
| 124 |
# CPT reasoning logic and inference tree
|
| 125 |
|
| 126 |
+
# ββ Instrumentation span helper ββββββββββββββββββββββββββββββββββββββββββββββ
|
|
|
|
|
|
|
| 127 |
def _inst_code_by_span(span: int, anterior: bool) -> str:
|
| 128 |
"""Return instrumentation CPT code based on span length."""
|
| 129 |
if span <= 1:
|
|
|
|
| 134 |
return "22842" if span <= 3 else ("22843" if span <= 7 else "22844")
|
| 135 |
|
| 136 |
|
| 137 |
+
# ββ Core CPT inference engine ββββββββββββββββββββββββββββββββββββββββββββββββ
|
|
|
|
|
|
|
| 138 |
def _infer_cpts(note: str, region: str, levels: List[str]) -> List[Dict[str, Any]]:
|
| 139 |
"""Return CPT dictionary list with rationale and confidence."""
|
| 140 |
t = _norm(note)
|
| 141 |
out: List[Dict[str, Any]] = []
|
| 142 |
inters = _count_interspaces(levels)
|
| 143 |
span = max(inters + 1, 2)
|
|
|
|
| 144 |
|
| 145 |
def add(cpt: str, desc: str, rationale: str, cat: str, conf: float = 0.85, primary: bool = False):
|
| 146 |
out.append({
|
| 147 |
+
"cpt": cpt, "desc": desc, "rationale": rationale,
|
| 148 |
+
"category": cat, "confidence": round(conf, 2), "primary": primary
|
|
|
|
|
|
|
|
|
|
|
|
|
| 149 |
})
|
| 150 |
|
| 151 |
+
# 1) Decompression
|
| 152 |
if _has(t, r"laminectomy|decompression|facetectomy|foraminotomy"):
|
| 153 |
base_map = {"cervical": "63045", "thoracic": "63046", "lumbar": "63047"}
|
| 154 |
base = base_map.get(region, "63047")
|
|
|
|
| 159 |
add("63048", f"Each additional level Γ{inters}",
|
| 160 |
"Multi-level decompression inferred.", "decompression add-on", 0.82)
|
| 161 |
|
| 162 |
+
# 2) Generic posterior/posterolateral fusion (will be suppressed if TLIF/PLIF hits)
|
| 163 |
if _has(t, FUSION_KW):
|
| 164 |
base_map = {"cervicothoracic": "22600", "cervical": "22600",
|
| 165 |
"thoracic": "22610", "lumbar": "22630", "lumbosacral": "22612"}
|
|
|
|
| 170 |
add("22614", f"Each additional level Γ{inters}",
|
| 171 |
"Multi-level fusion extension.", "fusion add-on", 0.84)
|
| 172 |
|
| 173 |
+
# 2b) ACDF (22551/22552) + optional anterior instrumentation
|
| 174 |
+
if _has(t, ACDF_KW) and _has(t, ACDF_SUPPORT) and region in {"cervical", "cervicothoracic"}:
|
| 175 |
+
cerv_levels = [lv for lv in levels if lv.startswith("C")]
|
| 176 |
+
cerv_inters = max(1, len(sorted(set(cerv_levels), key=_level_sort_key)) - 1) if cerv_levels else max(1, inters or 1)
|
| 177 |
+
add("22551", "ACDF, first interspace (includes discectomy)",
|
| 178 |
+
"Anterior cervical discectomy and fusion pattern detected.", "ACDF", 0.95, True)
|
| 179 |
+
if cerv_inters > 1:
|
| 180 |
+
add("22552", f"ACDF, each additional interspace Γ{cerv_inters-1}",
|
| 181 |
+
"Multi-level ACDF.", "ACDF add-on", 0.90)
|
| 182 |
+
if _has(t, r"\bplate|plating|anterior plate\b"):
|
| 183 |
+
span_est = max(2, cerv_inters + 1) # segments = interspaces + 1
|
| 184 |
+
a_code = _inst_code_by_span(span_est, anterior=True)
|
| 185 |
+
if a_code:
|
| 186 |
+
a_desc = {"22845":"Anterior instrumentation (2β3 segments)",
|
| 187 |
+
"22846":"Anterior instrumentation (4β7 segments)",
|
| 188 |
+
"22847":"Anterior instrumentation (8+ segments)"}[a_code]
|
| 189 |
+
add(a_code, a_desc, "Anterior plate present; span estimated from cervical levels.", "instrumentation", 0.84)
|
| 190 |
+
|
| 191 |
+
# 2c) TLIF/PLIF (22633/22634) with suppression of generic posterior fusion add-ons
|
| 192 |
+
tlif_plif_hit = (
|
| 193 |
+
_has(t, r"\b(tlif|plif|posterior interbody fusion)\b")
|
| 194 |
+
or (_has(t, r"facetectom(y|ies)|hemifacetectomy|transforaminal")
|
| 195 |
+
and _has(t, r"interbody (cage|device|spacer)|peek (cage|spacer)|titanium (cage|spacer)")
|
| 196 |
+
and _has(t, r"pedicle\s+screws?"))
|
| 197 |
+
)
|
| 198 |
+
if tlif_plif_hit and region in {"lumbar", "thoracic", "thoracolumbar", "lumbosacral"}:
|
| 199 |
+
n = max(1, inters or 1)
|
| 200 |
+
add("22633", "Posterior/posterolateral + posterior interbody fusion, single interspace",
|
| 201 |
+
"TLIF/PLIF construct detected (facetectomy + interbody device + pedicle screws).",
|
| 202 |
+
"TLIF/PLIF", 0.93, True)
|
| 203 |
+
if n > 1:
|
| 204 |
+
add("22634", f"Posterior interbody, each additional interspace Γ{n-1}",
|
| 205 |
+
"Multi-level TLIF/PLIF.", "TLIF/PLIF add-on", 0.89)
|
| 206 |
+
# internal flag to suppress generic posterior fusion rows
|
| 207 |
+
out.append({"cpt":"__SUPPRESS_PF__", "desc":"", "rationale":"", "category":"internal", "confidence":1.0, "primary":False})
|
| 208 |
+
|
| 209 |
+
# 3) Posterior instrumentation (span-based)
|
| 210 |
if _has(t, INSTR_KW):
|
| 211 |
code = _inst_code_by_span(span, anterior=False)
|
| 212 |
desc = {
|
|
|
|
| 214 |
"22843": "Posterior segmental instrumentation (4β7 segments)",
|
| 215 |
"22844": "Posterior segmental instrumentation (8+ segments)"
|
| 216 |
}.get(code, "Posterior instrumentation")
|
| 217 |
+
if code:
|
| 218 |
+
add(code, desc, "Posterior instrumentation detected (pedicle screws/rods).",
|
| 219 |
+
"instrumentation", 0.88)
|
| 220 |
|
| 221 |
+
# 4) Navigation
|
| 222 |
if _has(t, NAV_KW):
|
| 223 |
add("61783", "Intraoperative navigation (image-guided)",
|
| 224 |
"Navigation terms detected (Ziehm/O-arm/3D spin).", "navigation", 0.82)
|
| 225 |
|
| 226 |
+
# 5) Bone grafts (local vs separate incision; structural preference)
|
| 227 |
if _has(t, AUTO_SEP_KW):
|
| 228 |
add("20937", "Autograft, separate incision",
|
| 229 |
+
"Iliac crest or separate-site autograft documented.", "graft", 0.80)
|
| 230 |
elif _has(t, AUTO_LOCAL_KW):
|
| 231 |
add("20936", "Autograft, local (same incision)",
|
| 232 |
+
"Local autograft material retained.", "graft", 0.80)
|
| 233 |
+
if _has(t, r"structural allograft|fibular strut|strut graft|allograft spacer"):
|
| 234 |
+
# prefer 20931 over 20930 when structural is present
|
| 235 |
+
out = [r for r in out if r.get("cpt") != "20930"]
|
| 236 |
+
add("20931", "Structural allograft",
|
| 237 |
+
"Structural allograft (strut/cage) documented.", "graft", 0.82)
|
| 238 |
+
elif _has(t, ALLO_KW):
|
| 239 |
add("20930", "Allograft, morselized / DBM",
|
| 240 |
+
"Allograft or DBM usage detected.", "graft", 0.80)
|
| 241 |
|
| 242 |
+
# 6) Hardware removal
|
| 243 |
if _has(t, r"remov(ed|al).*instrument"):
|
| 244 |
add("22852", "Removal of posterior instrumentation",
|
| 245 |
"Hardware removal/explantation documented.", "hardware_removal", 0.84, True)
|
| 246 |
|
| 247 |
+
# TLIF guard: remove generic posterior fusion rows if TLIF/PLIF detected
|
| 248 |
+
if any(r.get("cpt") == "__SUPPRESS_PF__" for r in out):
|
| 249 |
+
out = [r for r in out if r["category"] not in {"fusion", "fusion add-on"} and r.get("cpt") != "__SUPPRESS_PF__"]
|
| 250 |
+
|
| 251 |
return out
|
| 252 |
|
| 253 |
+
# spine_coder_core_pro.py
|
| 254 |
+
# Vertebro FINAL-v2.2-PRO (Block 3/4)
|
| 255 |
+
# Specialty packs
|
| 256 |
|
|
|
|
|
|
|
|
|
|
| 257 |
def _apply_specialty_packs(note: str, region: str, inters: int, levels: List[str]) -> List[Dict[str, Any]]:
|
| 258 |
"""Return CPTs from specialty packs layered onto base logic."""
|
| 259 |
t = _norm(note)
|
|
|
|
| 261 |
|
| 262 |
def add(cpt, desc, rationale, cat, conf=0.84, primary=False):
|
| 263 |
extra.append({
|
| 264 |
+
"cpt": cpt, "desc": desc, "rationale": rationale,
|
| 265 |
+
"category": cat, "confidence": round(conf, 2), "primary": primary
|
|
|
|
|
|
|
|
|
|
|
|
|
| 266 |
})
|
| 267 |
|
| 268 |
# Tumor / corpectomy
|
|
|
|
| 276 |
"Multi-segment corpectomy.", "tumor/corpectomy add-on", 0.83)
|
| 277 |
|
| 278 |
# Deformity / osteotomy
|
| 279 |
+
if _has(t, r"\bspo\b|smith[- ]?petersen|posterior column osteotomy|osteotomy"):
|
| 280 |
base = {"cervical": "22210", "thoracic": "22214", "lumbar": "22206"}.get(region, "22206")
|
| 281 |
add(base, "Posterior column osteotomy, first level",
|
| 282 |
"Deformity correction (SPO/osteotomy) documented.", "deformity", 0.84, True)
|
| 283 |
if inters > 0:
|
| 284 |
add(str(int(base) + 1), f"Each additional level Γ{inters}",
|
| 285 |
+
"Multi-level osteotomy.", "deformity add-on", 0.80)
|
| 286 |
|
| 287 |
# Stimulator
|
| 288 |
if _has(t, r"stimulator|paddle lead|scs"):
|
|
|
|
| 300 |
"Kyphoplasty/vertebroplasty terms found.", "augmentation", 0.84, True)
|
| 301 |
if inters > 0:
|
| 302 |
add("22515", f"Each additional level Γ{inters}",
|
| 303 |
+
"Multi-level augmentation.", "augmentation add-on", 0.80)
|
| 304 |
|
| 305 |
# Revision instrumentation
|
| 306 |
if _has(t, r"revision of instrumentation|reinsert|remove and replace"):
|
|
|
|
| 314 |
|
| 315 |
return extra
|
| 316 |
|
|
|
|
|
|
|
| 317 |
# spine_coder_core_pro.py
|
| 318 |
+
# Vertebro FINAL-v2.2-PRO (Block 4/4)
|
| 319 |
+
# Output builder & main entrypoint with top_k + backward-compat alias
|
| 320 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 321 |
def vertebro_infer(note: str, payer: str = "Medicare", top_k: int = 10) -> Dict[str, Any]:
|
| 322 |
"""Master inference wrapper β merges base logic + specialty packs.
|
| 323 |
`top_k` kept for HF UI/backward compatibility; rows are truncated to top_k after scoring.
|
|
|
|
| 328 |
inters = _count_interspaces(levels)
|
| 329 |
laterality, mods = _laterality_and_modifiers(t)
|
| 330 |
|
| 331 |
+
# Inference
|
| 332 |
+
base_rows = _infer_cpts(t, region, levels)
|
| 333 |
extra_rows = _apply_specialty_packs(t, region, inters, levels)
|
| 334 |
rows = base_rows + extra_rows
|
| 335 |
|
| 336 |
+
# Merge duplicates (max confidence, concat rationale)
|
| 337 |
merged: Dict[tuple, Dict[str, Any]] = {}
|
| 338 |
for r in rows:
|
| 339 |
key = (r["cpt"], r["category"])
|
|
|
|
| 341 |
merged[key] = r.copy()
|
| 342 |
else:
|
| 343 |
merged[key]["confidence"] = round(max(merged[key]["confidence"], r["confidence"]), 2)
|
| 344 |
+
merged[key]["rationale"] = (merged[key]["rationale"] + " / " + r["rationale"]).strip()
|
| 345 |
|
| 346 |
rows = list(merged.values())
|
| 347 |
rows.sort(key=lambda r: (-r.get("confidence", 0.0), r.get("primary", False) is False, r["cpt"]))
|
| 348 |
|
| 349 |
+
# Tech flags
|
| 350 |
flags_map = {
|
| 351 |
"microscope": _has(t, r"\bmicroscope\b|microdissection"),
|
| 352 |
+
"nav": _has(t, r"\bnavigation\b|o-?arm|ziehm|3d\s+spin"),
|
| 353 |
"io_monitor": _has(t, r"\bneuromonitor|ssep|emg|monitoring\b"),
|
| 354 |
+
"fluoro": _has(t, r"\bfluoro|c[- ]?arm|fluoroscop"),
|
| 355 |
}
|
| 356 |
tech_flags = [k for k, v in flags_map.items() if v]
|
| 357 |
|
| 358 |
+
# Attach tech info to primary rows
|
| 359 |
if tech_flags:
|
| 360 |
tech_txt = f" (Tech: {', '.join(tech_flags)})"
|
| 361 |
for r in rows:
|
| 362 |
if r.get("primary", False):
|
| 363 |
r["rationale"] = (r.get("rationale", "") + tech_txt).strip()
|
| 364 |
|
| 365 |
+
# Top-K cap
|
| 366 |
try:
|
| 367 |
k = int(top_k)
|
| 368 |
if k > 0:
|
|
|
|
| 370 |
except Exception:
|
| 371 |
pass
|
| 372 |
|
| 373 |
+
# Output
|
| 374 |
return {
|
| 375 |
"payer": payer,
|
| 376 |
"region": region,
|
|
|
|
| 389 |
suggest_with_cpt_billing = vertebro_infer
|
| 390 |
|
| 391 |
|
| 392 |
+
# CLI / HF Space quick test
|
|
|
|
|
|
|
|
|
|
| 393 |
if __name__ == "__main__":
|
| 394 |
sample = """
|
| 395 |
Preoperative Diagnosis: C3βC6 stenosis with myelopathy.
|
| 396 |
Procedure:
|
| 397 |
+
1. C3βC6 laminectomy and medial facetectomies.
|
| 398 |
+
2. C2βT1 posterolateral arthrodesis.
|
| 399 |
+
3. C2βT1 posterior instrumentation with pedicle screws and rods.
|
| 400 |
+
4. Use of navigation and intra-operative fluoroscopy.
|
| 401 |
+
5. Local autograft and allograft placed.
|
| 402 |
"""
|
| 403 |
+
print(json.dumps(vertebro_infer(sample), indent=2))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|