HealTAC 2000 will have three local “hubs” (see the list below) where participants can get together face-to-face locally to follow the conference. Coffee and light lunch will be provided. Please contact the local organiser below if you would like to join your local hub.
- Edinburgh (Bayes Centre): Gregor Hall email@example.com
- London (IHI, UCL): Natalie Fitzpatrick firstname.lastname@example.org
- Lancaster: Paul Rayson email@example.com
Pre-conference: afternoon of 14th June 2022
|13:00||15:00||Tutorial 1: Patient and Public Involvement and Engagement (PPIE): Hands on Guidance for Clinical Text Analytics||Ms Natalie Fitzpatrick
Ms Jenny Robertson
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Patient and public involvement and engagement (PPIE) plays a vital role in helping to improve research and is now a crucial part of funding applications. As an early career researcher, one might find it difficult to take the first step of PPIE and to navigate through options and practices. In this tutorial, our PPIE veterans, Jenny Robertson and Natalie Fitzpatrick, and experienced public contributor, Colin Wilkinson, will guide you through a full journey of PPIE in relation to research projects on clinical text analytics. Hands-on guidance on how to develop and cost PPIE sections in a grant application and what to do next when a project is funded will be provided. By the end of the tutorial, you will have the conceptual understanding of PPIE and know the options, resources and tools available to embark on your PPIE journey.
(BYOP!!) We highly recommend you to Bring Your Own Project for the PPIE clinic. You will benefit from the direct advice on your project from our PPIE experts.
|15:30||17:30||Tutorial 2: De-identification of clinical and medical texts using MASK and MedCAT||Dr Nikola Milosevic
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This session will introduce de-identification of medical and clinical documents as one of the enablers for data sharing in biomedicine. We will introduce benefits and challenges of automated de-identification using machine learning. We will introduce two tools that allow users to utilize machine learning-based de-identification of medical and clinical texts, namely MASK and MadCAT. We will start by describing components of these systems and will present how users can train, fine-tune and use the named systems. Attendees by the end will have been:
Day 1: 15th June 2022
|10:00||10:10||Welcome||Dr Bea Alex|
|Opening by Prof Dave Robertson, Head of College of Science & Engineering, University of Edinburgh|
|10:10||10:50||Accepted Paper Session 1||Dr Anoop Shah|
|10:10-10:30 | A Quantitative and Qualitative Analysis of Suicide Ideation Detection using Deep Learning.
Siqu Long, Rina Carines Cabral, Josiah Poon and Soyeon Han
10:30-10:50 | AI-driven dermatology triage: deep learning and knowledge guided approaches.
Minhong Wang and Honghan Wu
|10:50||11:00||Break||Dr Anoop Shah|
|11:00||11:50||PhD Forum Session 1||Prof Paul Rayson|
|11:00-11:25 | Dynamic biomedical corpus generation and machine annotation a case study of autism spectrum disorders.
Antoine Lain and Ian Simpson
11:25-11:50 | Adverse Childhood Experiences Identification from Clinical Notes with Ontologies and NLP.
Jinge Wu, Rowena Smith and Honghan Wu
|11:50||12:00||Break||Dr Anoop Shah|
|12:00||13:00||Panel session 1: How does PPIE add value in text analytics research?||Prof William Dixon|
Click to expand details...Chair: Prof William Dixon, Director, Centre for Epidemiology Versus Arthritis, University of Manchester
In this special panel discussion, four different stakeholders (a public involvement expert, a patient by experience expert, a NLP researcher and a representative from an NHS funding body) will discuss how patient and public involvement adds value to research using health care text analytics and natural language processing. Members of the audience will then be invited to discuss the issues presented and ask questions of the expert panel.
Sinduja Manohar, HDR UK
Colin Wilkinson, HDR UK and Versus Arthritis
Prof Rob Stewart, King’s College London
Jim Elliott, NHS Health Research Authority.
|13:00||13:15||Open forum||Dr Honghan Wu|
|Pitches to the community (3-5 minutes each)|
|13:15||14:00||LUNCH||Dr Honghan Wu|
|14:00||14:45||Keynote Talk||Dr Bea Alex|
|Speaker: Prof James Teo
Title: Embedding text analytics into real-world clinical systems
Abstract: In this talk, Prof James Teo will outline some real-world use of text analytics in healthcare settings at Kings College Hospital and Guys & St Thomas Hospital. This will cover not just research use-cases, but use in operational aspects of the hospital including safety alerting, clinical audits, dashboards for population health and covid-situational-awareness.
|14:45||15:00||Break||Dr Bea Alex|
|15:00||15:50||Poster and demo session 1||Dr Anoop Shah|
|15:50||16:50||Panel session 2: Text mining in veterinary medicine||Dr P-J.M. Noble|
Click to expand details...Chair:Dr P-J.M. Noble, University of Liverpool
This panel will review the state of play of, and some of the drivers behind veterinary text analytics. Two of the panelists (Noel Kennedy and Brian Hur) will give a short update on general and advanced approaches being used in veterinary text analytics and the third panelist (Alan Radford) will review the variety of applications that are deriving value from veterinary text analytics. Each panelist will give a short presentation of around ten minutes followed by a 30 minute discussion.
Noel Kennedy, Royal Veterinary College
Dr Brian Hur, Melbourne University and Covetrus
Professor Alan Radford, University of Liverpool
|16:50||17:00||Closing marks for day 1||Dr Bea Alex|
Day 2: 16th June 2022
|10:00||10:10||Welcome||Dr Honghan Wu|
|Recap of day 1 and Introduction to day 2|
|10:10||10:50||Accepted Paper Session 2||Dr Ian Simpson|
|10:10-10:30 | Using free text electronic health records from Sussex mental health services to implement a risk calculator to identify people at risk of psychosis.
Elizabeth Ford, James Stone, Benjamin Fell, Gergely Bartl, Dominic Oliver, Paolo Fusar-Poli and Kathryn Greenwood
10:30-10:50 | Automated Clinical Coding: What, Why, and Where We Are?
Hang Dong, Matúš Falis, William Whiteley, Beatrice Alex, Shaoxiong Ji, Jiaoyan Chen and Honghan Wu
|10:50||11:00||Break||Dr Ian Simpson|
|11:00||11:50||PhD Forum Session 2||Dr Arlene Casey|
|11:00-11:25 | Multi-Label Extraction from Radiology Reports in Practice: Predictions on a Large Uncurated Corpus.
Patrick Schrempf, William Clackett, Antanas Kascenas, Hannah I. Watson, David Harris-Birtill and Alison Q. O'Neil
11:25-11:50 | EyeBERT: a Large Language Model for Clinical Narratives in Ophthalmology.
Quang Nguyen, Honghan Wu and Nikolas Pontikos
|11:50||12:00||Break||Dr Arlene Casey|
|12:00||13:00||Panel session 3 (Industry Panel): How can NLP enable personalised medicine?||Dr Alison O'Neil
Dr William Clackett
Click to expand details...Chair: Alison O’Neil and William Clackett
Topic discussion: How can NLP enable personalised medicine?
Description: With the expansion of electronic health records in inpatient care, a considerable amount of unstructured text data has become available for researchers to leverage through advances in natural language processing. While analysis of structured clinical data such as physical observations, patient demographics and lab tests is commonly used to tailor clinical decision making alongside other data types such as genetics and images, automated analysis of unstructured text data in delivering precision medicine remains comparatively novel. This topic aims to explore the perspective of healthcare technology providers towards natural language processing and its role in facilitating personalised medicine.
Dr Calum Yacoubian, Director of Healthcare Product and Strategy, Linguamatics, IQVIA
Dr Elizabeth Fairley, COO and Founder, Talking Medicines
Dr Tomas Engelthaler, Data Scientist, Akrivia
Dr Azad Dehghan, Founder and Managing Director, DeepCognito
|13:00||13:15||Open forum||Dr Bea Alex|
|Pitches to the community (3-5 minutes each)|
|13:15||14:00||LUNCH||Dr Bea Alex|
|14:00||14:45||Keynote Talk||Dr Honghan Wu|
|Speaker: Dr Ozlem Uzuner
Title: Building semantic representations of clinical notes: opportunities, challenges, and progress in natural language processing on electronic health records
Abstract: National NLP Clinical Challenges (n2c2) have been sharing de-identified clinical notes with the research community since 2006. In this time, many NLP tasks have been addressed and benchmarked against n2c2 corpora. Ozlem Uzuner will provide an outline of the n2c2 shared task data and share example solutions generated for addressing the research questions encompassed by these data.
|14:45||15:00||Break||Dr Honghan Wu|
|15:00||15:50||Poster and demo session 2||Dr Ian Simpson|
|15:50||16:00||Closing marks||Drs Honghan Wu & Bea Alex|