Matching Patients and Answers to the Largest Clinical Guidelines Library in the World
Healthcare providers are increasingly required to adhere to guidelines and performance measures in order to comply with quality initiative, pay for performance, and payer standards. However, in practice many providers just don’t have the time to keep up to date with long and frequently changing guidelines, as well as matching the right next action to each complex patient.
We introduce a novel solution that automatically:
- Answers detailed questions about clinical guideline documents, including understanding visual tables, flowcharts, and fine‑grained criteria.
- Matches a patient case, presented as an unstructured text summary, to the right guideline and the relevant section within that guideline for that specific patient right now.
- Explains its thinking and provides deep links into the relevant section of a guideline, that best answers a question or matches a given patient.
The solution is the result of a partnership between Guidelines Central – which curates current, practical, and easily accessible guidelines coming from over thirty‑five medical societies and government agencies – and John Snow Labs – which provides state‑of‑the‑art Medical LLMs that have been specifically tuned for reasoning on clinical guidelines.
This results in a turnkey solution, available either as a standalone tool for clinicians or medical societies, or as an embeddable module for EHR and CDS vendors, that can provide accurate, current, and actionable recommendations for the evidence‑based next‑best‑action for each patient – in one unified tool that covers multiple specialties and case settings.

Vickie Reyes
Director of Informatics and Clinical Decision Support at Guideline Central
Vickie Reyes, MHA, BSN, RN, ITIL-F, CSSGB is a Director of Informatics and Clinical Decision Support at Guideline Central. She has 9+ years of experience in acute care and public health. She has worked as clinical informaticist for 16 years and her journey in this field includes supporting clinicians using clinical applications at bedside, EHR configuration, SQL and SSRS reporting, clinical data exchange, electronic quality measure reporting, and clinical decision support. In her current role, Mrs. Reyes is focused on creation and implementation of the computable guidelines. She is also pursuing a Master of Science degree in Medical Physiology and Pharmacology at University of Florida.

Dia Trambitas
Head of Product at John Snow Labs
Dia Trambitas is a computer scientist with a specialized focus on Natural Language Processing (NLP). Serving as the Head of Product at John Snow Labs, Dia oversees the evolution of the NLP Lab, the best-in-class tool for text and image annotation in the healthcare domain. Dia holds a Ph.D. in Computer Science focused on Semantic Web and ontology-based reasoning. She has a vivid interest in text processing and data extraction from unstructured documents, a subject she has been working on for the last decade.
Professionally, Dia has been involved in various information extraction and data science projects across sectors such as Finance, Investment Banking, Life Science, and Healthcare. Her comprehensive experience and knowledge in the field position her as a competent figure in the realms of NLP and Data Science.