#automaticclinicadataabstraction search results

Accelerate and scale the creation of accurate disease registries, patient cohorts, quality metrics, population health analytics, and social determinants of health. Learn more: johnsnowlabs.com/clinical-data-… #AutomaticClinicaDataAbstraction #NaturalLanguageProcessing

JohnSnowLabs's tweet image. Accelerate and scale the creation of accurate disease registries, patient cohorts, quality metrics, population health analytics, and social determinants of health. 
Learn more: johnsnowlabs.com/clinical-data-…  
#AutomaticClinicaDataAbstraction #NaturalLanguageProcessing

John Snow Lab’s Clinical Data Abstraction Solution can help you overcome the challenge of extracting structured information from unstructured clinical notes. Learn more: johnsnowlabs.com/clinical-data-… #AutomaticClinicaDataAbstraction #NLP #TextProcessing #digitalhealth

JohnSnowLabs's tweet image. John Snow Lab’s Clinical Data Abstraction Solution can help you overcome the challenge of extracting structured information from unstructured clinical notes. 
Learn more: johnsnowlabs.com/clinical-data-…
#AutomaticClinicaDataAbstraction #NLP #TextProcessing #digitalhealth

Transform unstructured records into structured data with our Clinical Data Abstraction technology. Learn more about our solution: hubs.li/Q019xNms0 #AutomaticClinicaDataAbstraction #TextProcessing #TextMiming #AI #digitalhealth #lifescience#healthcareai #sparknlp

JohnSnowLabs's tweet image. Transform unstructured records into structured data with our Clinical Data Abstraction technology. 
Learn more about our solution: hubs.li/Q019xNms0  
#AutomaticClinicaDataAbstraction #TextProcessing #TextMiming #AI #digitalhealth #lifescience #healthcareai #sparknlp

Accelerate and scale the creation of accurate disease registries, patient cohorts, quality metrics, population health analytics, and social determinants of health Learn more about our solution: hubs.li/Q01bdMgJ0 #AutomaticClinicaDataAbstraction #TextProcessing 👇

Accelerate and scale the creation of accurate disease registries, patient cohorts, quality metrics, population health analytics, and social determinants of health Learn more about our solution: hubs.li/Q01bdMgJ0 #AutomaticClinicaDataAbstraction #TextProcessing #TextMiming

JohnSnowLabs's tweet image. Accelerate and scale the creation of accurate disease registries, patient cohorts, quality metrics, population health analytics, and social determinants of health
Learn more about our solution: hubs.li/Q01bdMgJ0
#AutomaticClinicaDataAbstraction #TextProcessing #TextMiming


Transform unstructured records into structured data with our Clinical Data Abstraction technology. Learn more about our solution: hubs.li/Q019xNms0 #AutomaticClinicaDataAbstraction #TextProcessing #TextMiming #AI 👇

Transform unstructured records into structured data with our Clinical Data Abstraction technology. Learn more about our solution: hubs.li/Q019xNms0 #AutomaticClinicaDataAbstraction #TextProcessing #TextMiming #AI #digitalhealth #lifescience#healthcareai #sparknlp

JohnSnowLabs's tweet image. Transform unstructured records into structured data with our Clinical Data Abstraction technology. 
Learn more about our solution: hubs.li/Q019xNms0  
#AutomaticClinicaDataAbstraction #TextProcessing #TextMiming #AI #digitalhealth #lifescience #healthcareai #sparknlp


synthesize vast amounts of clinical data quickly and accurately. • They can help identify patterns, draw meaningful conclusions, and support clinical decision-making in real-time. • Most importantly, AI can bridge the gap between existing evidence and actionable clinical


A randomized trial of ambient A.I. for reducing data clerk burden (->synthetic notes) for clinicians: significant decrease in burnout @NEJM_AI ai.nejm.org/doi/full/10.10…

EricTopol's tweet image. A randomized trial of ambient A.I. for reducing data clerk burden (->synthetic notes) for clinicians: significant decrease in burnout @NEJM_AI  ai.nejm.org/doi/full/10.10…

The ACDM welcomes Luke Gregory of @ICONplc to #ACDM26 to discuss "AI, and why it is not the only tool in the Clinical Data Science toolkit." This session shows how clear problems and the right tools make AI and automation effective: lnkd.in/e9cT44qs #AI #ClinicalTrials

ACDMDataMatters's tweet image. The ACDM welcomes Luke Gregory of @ICONplc to #ACDM26 to discuss "AI, and why it is not the only tool in the Clinical Data Science toolkit."

This session shows how clear problems and the right tools make AI and automation effective: lnkd.in/e9cT44qs

#AI #ClinicalTrials

ATLAS is a clinically validated, agentic AI for care decisions. Grounded in guideline-anchored, peer-reviewed evidence and verified by 1,000+ experts. On 100 NEJM cases, accuracy improved from 20% to 90%. Transparent reasoning with citations and PDFs in every answer. Start your…


I did a lot of data mining and data processing in the last days and... whoa... the speed with AI tools is a lot higher than without. Especially when it comes to tasks like generating the CCI from diagnosis lists or other calculations. @otioai was helpful! otio.ai


6/ A clear example is a dataset I created on Inflectiv that tracks how hospitals and startups use AI for early disease detection. The sources were scattered across medical reports, research notes, case studies, and adoption data. Inflectiv turned all of it into one structured…


An Iterative LLM Based Pipeline for Extracting Clinical Data from Medical Records #OHDSISocialShowcase Lead: Erik Calcina Team: T Meterc, N Shpanko, L Spindari, E Lindner, L Hoogendam, H Slijper, R Selles, E Novak 🔗 loom.ly/ST3pAEY #JoinTheJourney

OHDSI's tweet image. An Iterative LLM Based Pipeline for Extracting Clinical Data from Medical Records #OHDSISocialShowcase

Lead: Erik Calcina
Team: T Meterc, N Shpanko, L Spindari, E Lindner, L Hoogendam, H Slijper, R Selles, E Novak

🔗 loom.ly/ST3pAEY

#JoinTheJourney

An Iterative LLM Based Pipeline for Extracting Clinical Data from Medical Records #OHDSISocialShowcase #JoinTheJourney Lead: Erik Calcina Team: T Meterc, N Shpanko, L Spindari, E Lindner, L Hoogendam, H Slijper, R Selles, E Novak 🔗 loom.ly/ST3pAEY

OHDSI's tweet image. An Iterative LLM Based Pipeline for Extracting Clinical Data from Medical Records #OHDSISocialShowcase #JoinTheJourney

Lead: Erik Calcina
Team: T Meterc, N Shpanko, L Spindari, E Lindner, L Hoogendam, H Slijper, R Selles, E Novak

🔗 loom.ly/ST3pAEY

With the introduction of Adeptia Automate, we're delivering major enhancements in usability, intelligence, and scalability, making it easier than ever to extract real value from unstructured data. Find out more: hubs.ly/Q03TPZbt0


AI Unleashes Value in Unstructured Clinical Data @techshotsapp #AI #Value #Data techshotsapp.com/technology/ai-…


🔍 Key Details: 📊 Dataset: CVC-ClinicDB ⚙️ Technology: MSFNet with MBDCK module


Implementation of an automated alert system of critical results in hospitalized and emergency patients dlvr.it/TPPCnz #ClinChemLabMed #LabMedX

ClinChemINFO's tweet image. Implementation of an automated alert system of critical results in hospitalized and emergency patients dlvr.it/TPPCnz #ClinChemLabMed #LabMedX

Most tools scrape or extract. Decide actually analyzes. It takes in multiple data sources, runs end-to-end workflows, and lets you interact with it in plain English. Think: “run cohort retention on this CSV and compare to last month” …and it just does it.

aloy_franc's tweet image. Most tools scrape or extract.

Decide actually analyzes.

It takes in multiple data sources, runs end-to-end workflows, and lets you interact with it in plain English.

Think: “run cohort retention on this CSV and compare to last month”
…and it just does it.

Manual processes & disconnected tools drain productivity and energy. Join Breaking Clinical Data Silos to see real examples of teams connecting data & people with unified multilingual analytics. tinyurl.com/mrexytpb #AtorusUnscripted #DataThatDoes #ClinicalData

AtorusR's tweet image. Manual processes & disconnected tools drain productivity and energy. 

Join Breaking Clinical Data Silos to see real examples of teams connecting data & people with unified multilingual analytics. tinyurl.com/mrexytpb  

#AtorusUnscripted #DataThatDoes #ClinicalData…

Can synthetic tabular data be more accurate? This new model by researchers from the @IPTC_upm at @La_UPM combines a Variational Autoencoder with a Gaussian Mixture Model. Results outperform #CTGAN and #TVAE, especially on medical datasets. 👉 synthema.eu/publications/ #SYNTHEMA


Automated data extraction model for the USIDNET registry: Bigger, faster, and better data collection rupress.org/jhi/article/2/…


No results for "#automaticclinicadataabstraction"

Accelerate and scale the creation of accurate disease registries, patient cohorts, quality metrics, population health analytics, and social determinants of health. Learn more: johnsnowlabs.com/clinical-data-… #AutomaticClinicaDataAbstraction #NaturalLanguageProcessing

JohnSnowLabs's tweet image. Accelerate and scale the creation of accurate disease registries, patient cohorts, quality metrics, population health analytics, and social determinants of health. 
Learn more: johnsnowlabs.com/clinical-data-…  
#AutomaticClinicaDataAbstraction #NaturalLanguageProcessing

John Snow Lab’s Clinical Data Abstraction Solution can help you overcome the challenge of extracting structured information from unstructured clinical notes. Learn more: johnsnowlabs.com/clinical-data-… #AutomaticClinicaDataAbstraction #NLP #TextProcessing #digitalhealth

JohnSnowLabs's tweet image. John Snow Lab’s Clinical Data Abstraction Solution can help you overcome the challenge of extracting structured information from unstructured clinical notes. 
Learn more: johnsnowlabs.com/clinical-data-…
#AutomaticClinicaDataAbstraction #NLP #TextProcessing #digitalhealth

Transform unstructured records into structured data with our Clinical Data Abstraction technology. Learn more about our solution: hubs.li/Q019xNms0 #AutomaticClinicaDataAbstraction #TextProcessing #TextMiming #AI #digitalhealth #lifescience#healthcareai #sparknlp

JohnSnowLabs's tweet image. Transform unstructured records into structured data with our Clinical Data Abstraction technology. 
Learn more about our solution: hubs.li/Q019xNms0  
#AutomaticClinicaDataAbstraction #TextProcessing #TextMiming #AI #digitalhealth #lifescience #healthcareai #sparknlp

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