Clinical Natural Language Processing: Unlocking Patient Records for Research

Similar documents
How Machine Learning and AI Are Disrupting the Current Healthcare System. Session #30, March 6, 2018 Cris Ross, CIO Mayo Clinic, Jim Golden, PwC

Development and Integration of Artificial Intelligence Technologies for Innovation Acceleration

Comprehensive Research Services

Security and Risk Assessment in GDPR: from policy to implementation

Digital Health. Jiban Khuntia, PhD. Assistant Professor Business School University of Colorado Denver

BRINGING DEEP LEARNING TO ENTERPRISE IMAGING CLINICAL PRACTICE

Imagine your future lab. Designed using Virtual Reality and Computer Simulation

USTGlobal. Internet of Medical Things (IoMT) Connecting Healthcare for a Better Tomorrow

Disclosure: Within the past 12 months, I have had no financial relationships with proprietary entities that produce health care goods and services.

How machines learn in healthcare

How AI and wearables will take health to the next level - AI Med

A Case Study on the Use of Unstructured Data in Healthcare Analytics. Analysis of Images for Diabetic Retinopathy

nothing is more important than health

Driving profitable growth in Greater China. Andy Ho Chief Market Leader Greater China

Russellville School District STEM Pathways

SENIOR CITIZENS ARE RIDING THE DIGITAL HEALTH WAVE

Whiting School of Engineering Interdisciplinary Centers and Institutes. Education. Research. Translation.

Make an Executive Decision to Fight Cancer.

Digital Health Startups A FirstWord ExpertViews Dossier Report

The (In)ability to Triangulate in Data Driven Healthcare Research

Driving Innovation. Connect and Catalyse. Medicines and Healthcare the Global perspective (+10 years) Zahid Latif

USTGlobal. How Integrated Data and Technology Affect the Healthcare Ecosystem. UST Global Healthcare Contributed Article

Great Minds. Internship Program IBM Research - China

EPD ENGINEERING PRODUCT DEVELOPMENT

Health Record Linkage at Statistics Canada

Artificial Intelligence: Why businesses need to pay attention to artificial intelligence?

Promoting Patient and Researcher Engagement with Distributed Data Research Networks through Hurdle Free Tools

Innovation and the Changing Practice of Medicine

TITLE OF PRESENTATION. Elsevier s Challenge. Dynamic Knowledge Stores and Machine Translation. Presented By Marius Doornenbal,, Anna Tordai

Scottish Health and Life Sciences Innovation Workshop. The Industrial Strategy Challenge Fund

AIMed Artificial Intelligence in Medicine

Making Precision Medicine A Reality: Molecular Diagnostics, Remote Health Status Monitoring and the Big Data Challenge

Research Centers. MTL ANNUAL RESEARCH REPORT 2016 Research Centers 147

MCGILL CENTRE FOR THE CONVERGENCE OF HEALTH AND ECONOMICS (MCCHE)

Where the brightest scientific minds thrive. IMED Early Talent and Post Doc programmes

Roadmap for machine learning

GE Healthcare. Essential for life. Senographe Essential Full-Field Digital Mammography system

DEEP LEARNING A NEW COMPUTING MODEL. Sundara R Nagalingam Head Deep Learning Practice

A manifesto for global sustainable health. Sustainable Health Symposium Cambridge, UK 25th July 2017

Why Artificial Intelligence will Revolutionize Healthcare including the Behavioral Health Workforce.

Executive Summary Industry s Responsibility in Promoting Responsible Development and Use:

e-care Living Lab - 5 avenue du Grand Sablon La Tronche - FRANCE Tel: +33 (0)

PRISME Technical Forum Introduction Accelerating Disruption

'INNOVATIVE SOLUTIONS FOR RESEARCH IN HEALTHCARE' Developing a novel approach to deliver better precision medicine in Europe The EMA standpoint

AUTOMATED MALARIA PARASITE DETECTION BASED ON IMAGE PROCESSING PROJECT REFERENCE NO.: 38S1511

Health Informatics Basics

COM C. Rozwell

Applying Text Analytics to the Patent Literature to Gain Competitive Insight

Social Media Networks in Online Health Care for Topic Analysis And Sentiment Analysis Using Text Mining Techniques

Advances and Perspectives in Health Information Standards

DICOM Conformance. DICOM Detailed Specification for Diagnostic Labs and Radiology Center Connectivity

Telehealth and Digital Technology. Libbe Englander, PhD

Capability to Transform Care Delivery

RADIOLOGY August 2017

Ken Buetow, Ph.D. Director, Computation Science and Informatics, Complex Adaptive ASU Professor, School of Life Science

Anatomic and Computational Pathology Diagnostic Artificial Intelligence at Scale

Logic Programming. Dr. : Mohamed Mostafa

& Medical Tourism. DIHTF - Dubai 20 th -21 st Feb 2018 V S Venkatesh -India

Third Century Initiative: Global Challenges

Health Informatics Principles - Excerpt -

The Future of Patient Data The Global View Key Insights Berlin 18 April The world s leading open foresight program

THE USE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN SPEECH RECOGNITION. A CS Approach By Uniphore Software Systems

USTGlobal. 3D Printing. Changing the Face of Healthcare

Comparison of Segmentation Framework on Digital Microscope Images for Acute Lymphoblastic Leukemia Diagnosis using RGB and HSV Color Spaces

The Health Informatics Process

Scripps Florida. Accelerating Discoveries, Saving Lives. Presentation to the Urban Land Institute November 4, 2011

2018 Bioshares Biotechnology Summit, Queenstown NZ

Speaking with One Voice Unifying Scripps Under a Master Brand Strategy

HDR UK & Digital Innovation Hubs Introduction. 22 nd November 2018

The Role of Patients in Transitions of Care

HAPPY JUNE! QUOTES. Biostatistics and Bioinformatics Department. Biostatistics and Bioinformatics. Inside This Issue

The Royal College of Radiologists Response to: House of Lords Select Committee on Artificial Intelligence 6 September 2017

Privacy Policy. What is Data Privacy? Privacy Policy. Data Privacy Friend or Foe? Some Positives

e-science Acknowledgements

Higher Education Contribution to Health Science Innovation

Health Innovations in Horizon 2020: the framework programme for research and innovation ( )

4.1. Accurate: The information is a true reflection of the original observation.

Enhanced Image Processing with Digitized Microscopic Images a Foresight in Indian Context

Preparing for your Doctor s Appointment

Adopting Standards For a Changing Health Environment

VIEW POINT CHANGING THE BUSINESS LANDSCAPE WITH COGNITIVE SERVICES

Genetic Research in Utah

Education and Outreach: Nanotechnology Activity Guides

Horizon Societal Challenge 1: Health, demographic change and wellbeing. Jeremy Bray DG Research & Innovation European Commission

Twenty-Thirty Health care Scenarios - exploring potential changes in health care in England over the next 20 years

Vision Defect Identification System (VDIS) using Knowledge Base and Image Processing Framework

Opportunities and Challenges in Pharmaceutical Sciences. Helen Gordon Chief Executive

2012 North American Laboratory Researchers Choice: Future Market Leader of Digital PCR Technology Award

Smart devices. How to unlock their potential in the real world. Tobias Handschuh, Ernst & Young

Internet Based Artificial Neural Networks for the Interpretation of Medical Images

Jean marie Rodrigues Dpt of public health and medical informatics, University of Saint Etienne USE, France

Asia Conference Singapore

Health Informaticians Drive Innovation from Bench to Bedside

FRAUNHOFER INSTITUTE FOR INTEGRATED CIRCUITS IIS. MANUAL PANORAMIC MICROSCOPY WITH istix

FUZZY EXPERT SYSTEM FOR DIABETES USING REINFORCED FUZZY ASSESSMENT MECHANISMS M.KALPANA

Opportunity now: Europe s mission to innovate

Social Big Data. LauritzenConsulting. Content and applications. Key environments and star researchers. Potential for attracting investment

TRANSLATION OF GENOMICS FOR PATIENT CARE AND RESEARCH PATIENT S PERSPECTIVE

MOBILE BASED HEALTHCARE MANAGEMENT USING ARTIFICIAL INTELLIGENCE

Evidence Standards and AI

Transcription:

Clinical Natural Language Processing: Unlocking Patient Records for Research Mark Dredze Computer Science Malone Center for Engineering Healthcare Center for Language and Speech Processing

Natural Language Processing The computer science discipline that studies language and computers Computational Linguistics The study of language aided by computers Human Language Technology The development of new technology (algorithms, software, resources) that automate the processing of language

NLP in Industry

Examples of NLP Question Answering What is the methyl donor of DNA (cytosine-5)- methyltransferases? Where in the cell do we find the protein Cep135? Is rheumatoid arthritis more common in men or women?

Examples of NLP Information Extraction https://jamanetwork.com/journals/ja maoncology/fullarticle/2517402

Examples of NLP Information Extraction https://jamanetwork.com/journals/ja maoncology/fullarticle/2517402

Examples of NLP Sentiment Analysis https://www.revinate.com/blog/2012/09/understanding-voice-of-the-customer-data/

Examples of NLP Machine Translation https://www.ahrq.gov/professionals/prevention-chronic-care/improve/system/pfhandbook/mod8appbsteveapple.html

The Statistical Revolution Before 1990 NLP systems are rule based Knowledge engineering Starting in 1990s We suddenly get lots of actual data Focus on statistical models, and estimate parameters on data Deep Learning Statistical methods with millions of parameters estaimted from data Key: Training data! Language data is everywhere https://http://bigdata.rutgers.edu/news/significant-benefits-of-big-data-analytics-in-healthcare-industry

The Statistical Revolution Statistical revolution hitting clinical data starting in 2010 https://http://bigdata.rutgers.edu/news/significant-benefits-of-big-data-analytics-in-healthcare-industry

Where Does Language Appear In Medicine? Clinical notes (from physicians, labs, radiology, ) Patient diaries Messages among doctors or between doctors & patients. Medical literature Spoken doctor patient interactions

What Can NLP Do? Information organization Sort information by topic, etc. High level views of data Identifying relations between entities across dataset Model correlations between text and structured fields Information Extraction Extract entities, relations, events, outcomes Produce structured knowledge from text Reasoning from text Link entity mentions across documents to each other and KB Information Access Language translation, speech transcription

Uses of Clinical NLP Supporting research Tools and methods that enable support of research using NLP Extracting or structuring language data for use in research Improving Care Important in clinical decision support systems

Clinical NLP Tasks Basic note processing Entities Segmentation, syntax, text normalization, processing abbreviations, temporal expressions, numerical values Entity extraction: identify names of important entities in text Concepts Concept linking: connect mentions of concepts to ontologies Beyond Phenotyping Summarization

General clinical NLP De-identification of clinical notes Medication intake information (esp. over-the-counter) Temporal information (e.g. dates, duration) Numerical values of specific variables (e.g. labs, vitals) Suspicious breast cancer lesions Detection of smoking status

Center for Language and Speech Processing World leader in NLP Understand how human language is used to communicate ideas/thoughts/information. Develop technology for machine analysis, translation, and transformation of multilingual speech and text. ~13 primary faculty, 10 secondary, 60 graduate students, 6 postdocs Malone Center for Engineering in Healthcare Established in 2016 to promote the user of engineering methods to improve healthcare Accelerate development of research-based innovations in healthcare 29 affiliated faculty

Center for Clinical Natural Language Processing (C2NLP) Founded March 2018 icore (ICTR) center focused on NLP innovation and tool development Sister center to Center for Clinical Data Analysis (CCDA) Delivery of data as a service C2NLP Goals: Enable CCDA to provide NLP data as a service Clinical NLP research as a service Collaboration with the JHUAPL Precision Medicine Analytics Platform

C2NLP Goals Data access Tools Best practice Community for cnlp research at JHU Public face of this research area Bring together Whiting, Medicine, Bloomberg, APL

Motivation: Requests for NLP to CCDA Information Extraction Find me all records that record a result of test X with value Y NLP Tool Evaluation Which is the right tool for our work? General (i.e. non-clinical) NLP Can you help us analyze this language dataset?

Information Extraction Disease Based Cohort Cohort to examine risk factors for end organ disease Identify history of conditions and risk factors reported in clinical text Test Results Based Cohort Correlation between quantitative scores for medical test and diagnostic exams. Rare Disease Mentions No ICD code to indicate many rare, or not well defined, diseases and conditions Conditions mentioned in clinical notes in many different ways

NLP Tool Evaluation Performance of ctakes (clinical Text Analysis and Knowledge Extraction System) Entity Recognition on different types of cancer pathology reports Evaluating NLP tools on MRI, pathology, and clinic reports.

General NLP Applications Analysis of the variations in language use by doctors How do doctors talk about different types patients How do different doctors talk about the same topics Content analysis of types of language use Measure the effects of different disorders on language use Consider samples of language data collected from patients How does language vary over time for patients receiving certain treatments, or who have received specific diagnoses Lexical richness, syntactic complexity, readability scores

C2NLP services General clinical NLP Innovation to support CCDA Research as service Need NLP experts for a research project or proposal? We have them! Large-scale clinical notes processing What can we learn by considering millions of records at scale

Delivery methods HIPAA-compliant servers (mainly PMAP) Project-specific environment (Docker containers) Depending on the request, any combination of: Raw or processed data NLP packages Data analysis tools

Come Talk to Us Founding: March 2018 Director: Mark Dredze mdredze@cs.jhu.edu http://www.dredze.com