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Simon de Lusignan
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2020 – today
- 2024
- [c39]Pushpa Kumarapeli
, Simon de Lusignan
Unlocking the Potential of Free Text in Electronic Health Records with Large Language Models (LLM): Enhancing Patient Safety and Consultation Interactions. MIE 2024: 746-750 - [c38]Pushpa Kumarapeli
Advancing Healthcare Sustainability: Embracing MACH Architecture for Health IT System Transformation. MIE 2024: 1565-1566 - 2022
- [c37]Carole Aspden, Sneha Anand, Filipa Ferreira, Gavin Jamie, Rachel Byford, Mark Joy, Simon de Lusignan
Interdisciplinary Informatics to Support Primary Care Sentinel Surveillance of Respiratory Infectious Disease Including COVID-19: Donabedian Evaluation. EFMI-STC 2022: 137-141 - [c36]Alireza Ettefaghian, Paul Krause, Simon de Lusignan
A Business Analytics Framework for Primary Care. EFMI-STC 2022: 152-156 - 2021
- [j18]Siaw-Teng Liaw
Quality assessment of real-world data repositories across the data life cycle: A literature review. J. Am. Medical Informatics Assoc. 28(7): 1591-1599 (2021) - [j17]Thilina Dulantha Lalitharatne
MorphFace: A Hybrid Morphable Face for a Robopatient. IEEE Robotics Autom. Lett. 6(2): 643-650 (2021) - [j16]Liang He
An Abdominal Phantom With Tunable Stiffness Nodules and Force Sensing Capability for Palpation Training. IEEE Trans. Robotics 37(4): 1051-1064 (2021) - [c35]Liang He, Florence Leong, Thilina Dulantha Lalitharatne, Simon de Lusignan
A Haptic Mouse Design with Stiffening Muscle Layer for Simulating Guarding in Abdominal Palpation Training. ICRA 2021: 12588-12594 - [c34]Nathan Jeffreys, Hajira Dambha-Miller
Using Primary Care Data to Report Real-World Pancreatic Cancer Survival and Symptomatology. MIE 2021: 168-172 - [c33]Agnieszka Lemanska
Study into COVID-19 Crisis Using Primary Care Mental Health Consultations and Prescriptions Data. MIE 2021: 759-763 - 2020
- [j15]Thilina Dulantha Lalitharatne
Facial Expression Rendering in Medical Training Simulators: Current Status and Future Directions. IEEE Access 8: 215874-215891 (2020) - [j14]Edward M. Hill
Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation. PLoS Comput. Biol. 16(10) (2020) - [c32]Harshana Liyanage, Oluwafunmi Akinyemi, Sameera Pathirannehelage, Mark Joy, Simon de Lusignan
Near Real Time Feedback of Seasonal Influenza Vaccination and Virological Sampling: Dashboard Utilisation in a Primary Care Sentinel Network. MIE 2020: 1339-1340 - [c31]Agnieszka Lemanska
Primary Care Prostate Cancer Case Ascertainment. MIE 2020: 1369-1370
2010 – 2019
- 2019
- [j13]Spencer Angus Thomas
Analysis of Primary Care Computerized Medical Records (CMR) Data With Deep Autoencoders (DAE). Frontiers Appl. Math. Stat. 5: 42 (2019) - [j12]Amanda L. Terry
A basic model for assessing primary health care electronic medical record data quality. BMC Medical Informatics Decis. Mak. 19(1): 30:1-30:11 (2019) - [j11]Edward M. Hill
Seasonal influenza: Modelling approaches to capture immunity propagation. PLoS Comput. Biol. 15(10) (2019) - [c30]Simon de Lusignan
Analysis of Primary Care Computerised Medical Records with Deep Learning. EFMI-STC 2019: 249-250 - [c29]Harshana Liyanage
Near-Real Time Monitoring of Vaccine Uptake of Pregnant Women in a Primary Care Sentinel Network: Ontological Case Definition Across Heterogeneous Data Sources. MedInfo 2019: 1855-1856 - 2018
- [c28]Harshana Liyanage, Siaw-Teng Liaw, Jitendra Jonnagaddala, William Hinton
Common Data Models (CDMs) to Enhance International Big Data Analytics: A Diabetes Use Case to Compare Three CDMs. EFMI-STC 2018: 60-64 - [c27]Harshana Liyanage, John Williams, Rachel Byford, Lampros K. Stergioulas, Simon de Lusignan
Ontologies in Big Health Data Analytics: Application to Routine Clinical Data. EFMI-STC 2018: 65-69 - [c26]Liang He
Granular Jamming Based Controllable Organ Design for Abdominal Palpation. EMBC 2018: 2154-2157 - [c25]Harshana Liyanage, Stacy Shinneman
Profiling Databases to Facilitate Comparison of Child Health Systems Across Europe Using Standardised Quality Markers. MIE 2018: 61-65 - [c24]Nadia A. S. Smith, Valerie N. Livina
Automated Differentiation of Incident and Prevalent Cases in Primary Care Computerised Medical Records (CMR). MIE 2018: 151-155 - [c23]Sameera Pathirannehelage, Pushpa Kumarapeli, Rachel Byford, Ivelina Yonova, Filipa Ferreira
Uptake of a Dashboard Designed to Give Realtime Feedback to a Sentinel Network About Key Data Required for Influenza Vaccine Effectiveness Studies. MIE 2018: 161-165 - 2017
- [j10]Norman Poh, Santosh Tirunagari
Probabilistic broken-stick model: A regression algorithm for irregularly sampled data with application to eGFR. J. Biomed. Informatics 76: 69-77 (2017) - 2016
- [c22]Santosh Tirunagari
Automatic detection of acute kidney injury episodes from primary care data. SSCI 2016: 1-6 - [e1]Alexander Hörbst, Werner O. Hackl, Nicolette de Keizer, Hans-Ulrich Prokosch, Mira Hercigonja-Szekeres, Simon de Lusignan:
Exploring Complexity in Health: An Interdisciplinary Systems Approach - Proceedings of MIE2016 at HEC2016, Munich, Germany, 28 August - 2 September 2016. Studies in Health Technology and Informatics 228, IOS Press 2016, ISBN 978-1-61499-677-4 [contents] - 2015
- [c21]Nouf Alharbi, Nada Alsubki, Simon de Lusignan:
Impact of Information Technology-Based Interventions for Type 2 Diabetes Mellitus on Glycaemic Control: a Systematic Review and Meta-Analysis. MIE 2015: 944 - 2014
- [j9]Siaw-Teng Liaw, Jane Taggart, Hairong Yu, Simon de Lusignan
Integrating electronic health record information to support integrated care: Practical application of ontologies to improve the accuracy of diabetes disease registers. J. Biomed. Informatics 52: 364-372 (2014) - 2013
- [j8]Siaw-Teng Liaw, Alireza Rahimi
Towards an ontology for data quality in integrated chronic disease management: A realist review of the literature. Int. J. Medical Informatics 82(1): 10-24 (2013) - [j7]Siaw-Teng Liaw, Alireza Rahimi
Corrigendum to "Towards an ontology for data quality in integrated chronic disease management: A realist review of the literature" [Int. J. Med. Inform. 82 (2013) 10-24]. Int. J. Medical Informatics 82(2): 139 (2013) - [c20]Simon de Lusignan
A comparison of English and French Approaches to Providing Patients Access to Summary Care Records: Scope, Consent, Cost. EFMI-STC 2013: 61-65 - [c19]Norman Poh, Simon de Lusignan
Agile Exploration of Electronic Health Records with Application to Comparing the Quality of Blood Pressure Control in Pay-for-Performance Targets in a Cross-Sectional Study. MedInfo 2013: 82-86 - [c18]Harshana Liyanage, Siaw-Teng Liaw, Craig E. Kuziemsky, Simon de Lusignan
Ontologies to Improve Chronic Disease Management Research and Quality Improvement Studies - A Conceptual Framework. MedInfo 2013: 180-184 - [c17]Simon de Lusignan
A Comparison of Approaches to Providing Patients Access to Summary Care Records Across Old and New Europe: An Exploration of Facilitators and Barriers to Implementation. MedInfo 2013: 397-401 - 2012
- [c16]Matthew Swindells, Simon de Lusignan
Lessons from the English National Programme for IT about Structure, Process and Utility. EFMI-STC 2012: 17-22 - [c15]Olga Dmitrieva, Georgios Michalakidis, Aaron D. Mason, Simon Jones
Consistent Data Recording across a Health System and Web-Enablement Allow Service Quality Comparisons: Online Data for Commissioning Dermatology Services. EFMI-STC 2012: 84-88 - 2011
- [j6]Simon de Lusignan
Detecting referral and selection bias by the anonymous linkage of practice, hospital and clinic data using Secure and Private Record Linkage (SAPREL): case study from the evaluation of the Improved Access to Psychological Therapy (IAPT) service. BMC Medical Informatics Decis. Mak. 11: 61 (2011) - [c14]Simon de Lusignan
What are the Barriers to Conducting International Research Using Routinely Collected Primary Care Data? EFMI-STC 2011: 135-140 - 2010
- [c13]Paul Krause, Simon de Lusignan
Procuring Interoperability at the Expense of Usability: A Case Study of UK National Programme for IT Assurance Process. EFMI-STC 2010: 143-149 - [c12]Christopher Pearce, Pushpa Kumarapeli, Simon de Lusignan
Getting Seamless Care Right from the Beginning - Integrating Computers into the Human Interaction. EFMI-STC 2010: 196-202 - [c11]Georgios Michalakidis, Pushpa Kumarapeli, Andre Ring, Jeremy van Vlymen, Paul Krause, Simon de Lusignan
A system for solution-orientated reporting of errors associated with the extraction of routinely collected clinical data for research and quality improvement. MedInfo 2010: 724-728
2000 – 2009
- 2009
- [c10]Simon de Lusignan
Improving data quality and clinical records: Lessons from the UK National Programme about structure, process and utility. ITI 2009: 13-14 - [c9]Izet Masic
Task Force of the EFMI Journals: Background, Rationale and Purpose. MIE 2009: 946-950 - [c8]Simon de Lusignan
Using an Open Source Observational Tool to Measure the Influence of the Doctor's Consulting Style and the Computer System on the Outcomes of the Clinical Consultation. MIE 2009: 1017-1021 - 2007
- [j5]Simon de Lusignan
The roles of policy and professionalism in the protection of processed clinical data: A literature review. Int. J. Medical Informatics 76(4): 261-268 (2007) - [c7]Maigaelle V. Moulene, Simon de Lusignan, George Freeman, Jeremy van Vlymen, Ian Sheeler, Andrew Singleton, Pushpa Kumarapeli:
Assessing the Impact of Recording Quality Target Data on the GP Consultation Using Multi-Channel Video. MedInfo 2007: 1132-1136 - 2006
- [j4]Charles P. Schade, Frank M. Sullivan
Viewpoint Paper: e-Prescribing, Efficiency, Quality: Lessons from the Computerization of UK Family Practice. J. Am. Medical Informatics Assoc. 13(5): 470-475 (2006) - [c6]Judas Robinson, Simon de Lusignan, Patty Kostkova, Bruce Madge, Lesley Southgate:
Specific classification of elibrary resources says more about users' preferences. MIE 2006: 719-724 - 2005
- [c5]Michele Tringali, Simon de Lusignan:
Foundations of a Healthcare Knowledge Management Application System. AMIA 2005 - [c4]Simon de Lusignan:
Using Feedback to Raise the Quality of Primary Care Computer Data: a Literature Review. MIE 2005: 593-598 - [c3]Jeremy van Vlymen, Simon de Lusignan, Nigel Hague, Tom Chan, Billy Dzregah:
Ensuring the Quality of Aggregated General Practice Data: Lessons from the Primary Care Data Quality Programme (PCDQ). MIE 2005: 1010-1015 - 2003
- [j3]Simon de Lusignan
Viewpoint Paper: What Is Primary Care Informatics? J. Am. Medical Informatics Assoc. 10(4): 304-309 (2003) - [j2]Simon de Lusignan
The feasibility of using pattern recognition software to measure the influence of computer use on the consultation. BMC Medical Informatics Decis. Mak. 3: 12 (2003) - 2002
- [j1]Simon de Lusignan
Research Paper: Does Feedback Improve the Quality of Computerized Medical Records in Primary Care? J. Am. Medical Informatics Assoc. 9(4): 395-401 (2002) - [c2]Simon de Lusignan, Sally Wells:
Is the Lack of Emphasis on Learning a Barrier to the Effective Deployment of Informatics? Content Analysis of NHS Strategy and Information Strategy Since 1998. AMIA 2002 - 2001
- [c1]Simon de Lusignan
A Survey to Identify the Clinical Coding and Classification Systems Currently in Use Across Europe. MedInfo 2001: 86-89
Coauthor Index
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last updated on 2024-10-23 20:31 CEST by the dblp team
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