Dr Pushpa Kumarapeli
Faculties, departments and locations
- Faculty of Engineering, Computing and the Environment
- Department of Computer Science
- School of Computer Science and Mathematics
- Penrhyn Road
Associate Professor
- Email:
- [email protected]
About
I am an Associate Professor and the School Director of Learning and Teaching for the School of Computer Science and Mathematics at Kingston University. I joined Kingston University in 2009 as a Senior Lecturer after completing both my undergraduate and PhD studies at the same institution. My academic responsibilities focus primarily on teaching modules related to software engineering, big data, data mining, database systems, and software development practices at both BSc(Hons) and MSc levels. Additionally, I lead the Transnational Education (TNE) portfolio for the School of Computer Science and Mathematics, working with international partners to expand our educational impact.
I am deeply passionate about teaching, learning, and pedagogy. I collaborate closely with colleagues within the school and across our TNE programs to continuously enhance teaching and learning practices. In addition to my role at Kingston University, I also serve as an external examiner and mentor for external examiners at other institutions.
My research interests include microservices architecture, cloud computing, clinical databases, data mining, data visualization techniques, business process modeling, and software quality assurance. I also have extensive experience in designing data set specifications and working with the extraction, processing, and analysis of routinely collected data. I am particularly enthusiastic about all aspects of software engineering, from requirements gathering and design to development, monitoring, and re-engineering processes.
Qualifications
- PhD
- Postgraduate Certificate for Learning and Teaching in Higher Education (PGCLTHE)
- BSc(Hons)
- SFHEA
- MBCS
Domains
Course director
Courses taught
My primary research focusses on representing primary care consultation tasks through business process analysis models to support the development of effective information system solutions. This involves investigating data mining techniques and modelling primary care workflows to ensure efficient, data-driven healthcare delivery. My work also addresses quality assurance and process improvements within primary care, aiming to enhance the accuracy, efficiency, and reliability of clinical workflows.
I have significant experience designing data set specifications and managing the extraction, processing, and analysis of routinely collected clinical data for epidemiological research projects. This plays a key role in public health initiatives, particularly in predictive modelling, disease surveillance, and healthcare outcome analysis.
Within healthcare information systems, my research also delves into microservices architecture and cloud computing. Microservices, with their modular approach to software development, enhance flexibility, scalability, and maintainability in complex systems. My research explores the design, service decomposition, and communication patterns of microservices to improve performance and scalability, especially in healthcare and business applications. Cloud computing complements this by providing scalable, on-demand resources that support microservice-based systems efficiently. I am particularly interested in how cloud platforms manage, secure, and optimise these distributed systems to handle large-scale data and ensure seamless, reliable service delivery.
Publications
"Effects of exam room EHR use on doctor-patient communication: a systematic literature review" - Triadic and other key terms may have identified additional literature.
Pearce, Christopher Martin, Kumarapeli, Pushpa and de Lusignan, Simon, 2013, Erdkunde (21), 1pp 40-42, Published
Using the computer in the clinical consultation; setting the stage, reviewing, recording, and taking actions: multi-channel video study
Kumarapeli, P. and de Lusignan, S., 2013, Journal of the American Medical Informatics Association (20), e1, Published
The pattern of silent time in the clinical consultation: an observational multichannel video study
Gibbings-Isaac, Darryl, Iqbal, Mudassar, Tahir, Mohammad Aumran, Kumarapeli, Pushpa and de Lusignan, Simon, 2012, Family Practice (29), 5pp 616-621, Published
Disparities in testing for renal function in UK primary care: cross-sectional study
De Lusignan, Simon, Nitsch, Dorothea, Belsey, Jonathan, Kumarapeli, Pushpa, Vamos, Eszter Panna, Majeed, Azeem and Millett, Christopher, 2011, Family Practice (28), 6pp 638-646, Published
Reporting observational studies of the use of information technology in the clinical consultation. A position statement from the IMIA Primary Health Care Informatics working group (IMIA PCI WG)
de Lusignan, S., Pearce, C., Kumarapeli, P., Stavropoulou, C., Kushniruk, A., Sheikh, A., Shachak, A. and Mendis, K., 2011, Annals of the Royal College of Surgeons of England (6), 1pp 39-47, Published
Addressing modifiable risk factors for coronary heart disease in primary care: an evidence-base lost in translation
Debar, Safia, Kumarapeli, Pushpa, Kaski, Juan Carlos and De Lusignan, Simon, 2010, Family Practice (27), 4pp 370-378, Published
Measuring the impact of the computer on the consultation: an open source application to combine multiple observational outputs
Pflug, Bernhar, Kumarapeli, Pushpa, van Vlymen, Jeremy, Ammenwerth, Elske and De Lusignan, Simon, 2010, Informatics for Health and Social Care (35), 1pp 10-24, Published
Measuring the impact of different brands of computer systems on the clinical consultation: a pilot study
Hasan, Ali, De Lusignan, Simon, Refsum, Charlotte, Kumarapeli, Pushpa, Gunaratne, Aruni and Dodds, Richard, 2008, Informatics in Primary Care (16), 2pp 119-127, Published
The feasibility of using UML to compare the impact of different brands of computer system on the clinical consultation
Kumarapeli, P., De Lusignan, S, Koczan, P, Jones, B. and Sheeler, I, 2008, Informatics in Primary Care (15), 4pp 245-253, Published
Using Unified Modelling Language (UML) as a process-modelling technique for clinical-research process improvement
Kumarapeli, P., de Lusignan, S., Ellis, T. and Jones, B., 2007, Informatics for Health and Social Care (32), 1pp 51-64, Published
Ethnicity recording in general practice computer systems
Kumarapeli, P., Stephaniuk, R., de Lusignan, S., Williams, R. and Rowlands, C., 2006, Journal of Public Health (28), 3pp 283-287, Published
Online resources for chronic kidney disease (CKD) for primary care
Kumarapeli, Pushpa, De Lusignan, Simon and Robinson, Judas, 2006, Informatics in Primary Care (14), 2pp 139-142, Published
Routinely-collected general practice data are complex, but with systematic processing can be used for quality improvement and research.
De Lusignan, S., Hague, N., van Vlymen, J. and Kumarapeli, P., 2006, Informatics in Primary Care (14), 1pp 59-66, Published
Unlocking the potential of free text in electronic health records with Large Language Models (LLM): enhancing patient safety and consultation interactions
Kumarapeli, Pushpa, Haddad, Tia and de Lusignan, Simon (2024). In: Mantas, John, Hasman, Arie, Demiris, George, Saranto, Kaija, Marschollek, Michael, Arvanitis, Theodoros N., Ognjanovic, Ivana, Benis, Arriel, Gallos, Parisis, Zoulias, Emmanouil, Andrikopoulou, Elisavet, (eds.), Amsterdam, Netherlands:pp 746-750 [Published]
Uptake of a dashboard designed to give realtime feedback to a sentinel network about key data required for influenza vaccine effectiveness studies
Pathirannehelage, Sameera, Kumarapeli, Pushpa, Byford, Rachel, Yonova, Ivelina and Ferreira, Filipa (2018). In: Ugon, Adrien, Karlsson, Daniel, Klein, Gunnar O., Moen, Anne, (eds.), Amsterdam, The Netherlands: IOS Presspp 161-165 [Published]
A system for solution-orientated reporting of errors associated with the extraction of routinely collected clinical data for research and quality improvement
Michalakidis, Georgios, Kumarapeli, Pushpa, Ring, Andre, van Vlymen, Jeremy, Krause, Paul and De Lusignan, Simon (2010). In: Safran, C., Reti, S., Marin, R.F., (eds.), Amsterdam, Netherlands: IOS Presspp 724-728 [Published]
Getting seamless care right from the beginning - Integrating computers into the human interaction
Pearce, Christopher, Kumarpeli, Pushpa and De Lusignan, Simon (2010). In: Blobel, Bernd, Hvannberg, Ebba Þóra, Gunnarsdóttir, Valgerður, (eds.), Amsterdam: IOS Presspp 196-202 [Published]
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
De Lusignan, Simon, Kumarapeli, Pushpa, Debar, Safia, Kushniruk, Andre W. and Pearce, Chris (2009). [Published]
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
De Lusignan, S., Kumarapeli, P., Debar, S., Kushniruk, A.W. and Pearce, C. (2009). In: Adlassnig, Klaus-Peter, Blobel, Bernd, Mantas, John, Masic, Izet, (eds.), Amsterdam: IOS Presspp 1017-1021 [Published]
The use of silence in the computer mediated consultation
Bhanahbai, H., Kumarapeli, P. and De Lusignan, S. (2008). [Published]
Measuring the impact of the computer on the consultation: an application to synchronise multi-channel video, automated monitoring, and rating scales
Pflug, B., Kumarapeli, P., van Vlymen, J., Chan, T., Ammenwerth, E. and De Lusignan, S. (2008). [Published]
Assessing the impact of recording quality target data on the GP consultation using multi-channel video
Moulene, Maigaelle V., De Lusignan, Simon, Freeman, George, van Vlymen, Jeremy, Sheeler, Ian, Singleton, Andrew and Kumarapeli, Pushpa (2007). pp 1132-1136 [Published]
Using Unified Modelling Language (UML) as a process-modelling technique for clinical-research process improvement
Kumarapeli, Pushpa, DeLusignan, S, Ellis, Timothy and Jones, Beryl (2006). [Published]
A head to head comparison of EMIS PCS and INPS Vision
Kumarapeli, Pushpa and De Lusignan, Simon(2010). [Published]
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
De Lusignan, Simon, Kumarapeli, Pushpa, Debar, Safia, Kushniruk, Andre W. and Pearce, Chris(2009). [Published]
Systematic and personalised approaches to managing CVS risk in the primary care consultation: a multi-camera video assessment
Kumarapeli, Pushpa(2009). [Published]
The use of silence in the computer mediated consultation
Bhanahbai, H., Kumarapeli, P. and De Lusignan, S.(2008). [Published]
Measuring the impact of the computer on the consultation: an application to synchronise multi-channel video, automated monitoring, and rating scales
Pflug, B., Kumarapeli, P., van Vlymen, J., Chan, T., Ammenwerth, E. and De Lusignan, S.(2008). [Published]
Assessing the impact of recording quality target data on the GP consultation using multi-channel video
Moulene, Maigaelle V., De Lusignan, Simon, Freeman, George, van Vlymen, Jeremy, Sheeler, Ian, Singleton, Andrew and Kumarapeli, Pushpa(2007). [Published]
Observing and Modelling the Core Computer-based Activities of the General Practice Consultation
Kumarapeli, P., Dodds, R. and De Lusignan, S(2007). [Published]
Using Unified Modelling Language (UML) as a process-modelling technique for clinical-research process improvement
Kumarapeli, Pushpa, DeLusignan, S, Ellis, Timothy and Jones, Beryl(2006). [Published]
Modelling the computerised clinical consultations: a multi-channel video study
Kumarapeli, Pushpa (2011), PhD thesis [Accepted/In press]