Pith Number

pith:N2EPR7ZG

pith:2026:N2EPR7ZGD3SJEH45DNKURSAUC4

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ClinicBot: A Guideline-Grounded Clinical Chatbot with Prioritized Evidence RAG and Verifiable Citations

Mayank Kejriwal, Navapat Nananukul

ClinicBot extracts clinical guidelines into semantic units and prioritizes evidence by significance to generate verifiable answers.

arxiv:2605.00846 v1 · 2026-04-11 · cs.AI · cs.MA

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Claims

C1strongest claim

We present ClinicBot, an AI system that translates guideline recommendations into trustworthy clinical support through three key advances: (1) structured extraction of clinical guidelines into semantic units with explicit provenance, (2) evidence prioritization that ranks content by clinical significance and guideline structure rather than textual similarity, and (3) a web-based interface that presents concise, actionable answers with verifiable evidence.

C2weakest assumption

That clinical significance and guideline structure can be defined and ranked objectively enough to produce reliable prioritization without introducing new errors or omitting critical context.

C3one line summary

ClinicBot is a clinical chatbot that uses structured guideline extraction and prioritized RAG to deliver verifiable, guideline-grounded answers for diabetes care.

References

22 extracted · 22 resolved · 1 Pith anchors

[1] Manar Aljohani, Jun Hou, Sindhura Kommu, and Xuan Wang. 2025. A compre- hensive survey on the trustworthiness of large language models in healthcare. npj Digital Medicine8 (2025), 1–18 2025

[2] American Diabetes Association. 2025. Standards of Care in Diabetes.Diabetes Care48, Suppl. 1 (2025), S1–S387 2025

[3] Z Chen et al. 2023. Harnessing the power of clinical decision support systems: challenges and opportunities.Open Heart10, 1 (2023), e001878 2023

[4] Kristof Coussement, Mohammad Zoynul Abedin, Mathias Kraus, Sebastián Mal- donado, and Kazim Topuz. 2024. Explainable AI for enhanced decision-making. Decision Support Systems184 (2024), 114276 2024

[5] Gordon Guyatt, Andrew D Oxman, Gunn E Vist, Regina Kunz, Yngve Falck-Ytter, Pablo Alonso-Coello, and Holger J Schünemann. 2011. GRADE: an emerging consensus on rating quality of evidence and strength 2011

Cited by

1 paper in Pith

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Receipt and verification

First computed	2026-05-29T01:05:11.161481Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6e88f8ff261ee4921f9d1b5548c81417039c4b6f40be3b6a5a22672bae168578

Aliases

arxiv: 2605.00846 · arxiv_version: 2605.00846v1 · doi: 10.48550/arxiv.2605.00846 · pith_short_12: N2EPR7ZGD3SJ · pith_short_16: N2EPR7ZGD3SJEH45 · pith_short_8: N2EPR7ZG

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curl -sH 'Accept: application/ld+json' https://pith.science/pith/N2EPR7ZGD3SJEH45DNKURSAUC4 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 6e88f8ff261ee4921f9d1b5548c81417039c4b6f40be3b6a5a22672bae168578

Canonical record JSON

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