Nathan Proudlove

Dr

  • Office 4.012 Crawford House, Booth Street East

If you made any changes in Pure these will be visible here soon.

Personal profile

Biography

Nathan Proudlove is a Senior Lecturer in operational research and management science at Alliance Manchester Business School. Prior to the creation of the merged University of Manchester in 2004, he was a Lecturer at Manchester School of Management (UMIST). He is Associate Head of Division for Teaching of MBS’s Innovation Management and Policy Division, and a member of the Health Management Group.

He has worked on health management issues since the mid-1990s. Nathan's particular interests are operational management and flow issues such as capacity and demand, forecasting, bed management, and process improvement. He has worked with many hospital trusts and with national and regional NHS and Department of Health bodies, PA Consulting and the Health Foundation. He is currently working on two NIHR and one Health Foundation funded research projects.

Nathan teaches service and quality improvement, quantitative methods and modelling, and applied statistics at all levels of taught and executive-education programmes. In addition to supervising MSc dissertations and MBA consulting projects he has supervised 12 Manchester and 1 visiting doctoral students.

He is Director of the PgDip programme in Leadership and Management in the Healthcare Sciences, part of the Higher Specialist Scientific Training programme (DClinSci) run by a consortium of universities for NHS Health Education England and the National School for Healthcare Sciences.

He has served as an External Examiner for: Lancaster University (undergraduate and doctoral), Nottingham Trent University (masters), and the University of Rome ("Tor Vergata") (doctoral).

Research interests

Operational, quality and service improvement in healthcare. Application of operational research modelling approaches and operations management principles, particularly in healthcare. Data analytics, particularly healthcare performance. 

Specific tools and techniques include: comptuer simulation, lean, six sigma, theory of constraints, systems thinking, forecasting, process mapping, statstical process control.

Past projects include evaluation of six sigma in the NHS for the NHS Modernisation Agency, winter demand forecasting for NHS regional oversight, bed and capacity modelling.

Other Research Programmes and Projects:

Developing software tools for process mapping (with Lancaster University Management School).

Process improvement in NHS hospitals (with Salford Royal NHS Foundation Trust).

Memberships of committees and professional bodies

Fellow of the Operational Research Society (FORS)

NHS Wales Patient Flow Programme Evaluation Advisory Group The Health Foundation 2015-16

Teaching

Programme Director

  • PgDip Leadership & Management in the Healthcare Sciences (NHS Higher Specialist Scientist Training Programme DClinSci)

Unit Lead

  • BMAN74570: HSST Unit A4: Leadership & Quality Improvement in the Clinical and Scientific Environment (PGT, 30 credits)
  • BMAN73942: Simulation & Risk Analysis (PGT, 15 credits)

Textbook and Chapters

  • Vissers J, Elkhuizen S and Proudlove N (Eds.) (2022). Operations Management for Healthcare 2nd ed. Routledge: Abingdon, UK.
  • Vissers J, Elkhuizen S and Proudlove N (2022). "Chapter 1: Introduction" in Vissers J, Elkhuizen S and Proudlove N (Eds.) Operations Management for Healthcare  2nd ed. Routledge: Abingdon, UK. 
  • Proudlove N (2022). "Chapter 3: Data and modelling" in Vissers J, Elkhuizen S and Proudlove N (Eds.) Operations Management for Healthcare  2nd ed. Routledge: Abingdon, UK. 
  • Elkhuizen S and Proudlove N (2022). "Chapter 6: Improvement approaches" in Vissers J, Elkhuizen S and Proudlove N (Eds.) Operations Management for Healthcare  2nd ed. Routledge: Abingdon, UK. 
  • Vissers J, Elkhuizen S and Proudlove N (2022). "Chapter 8: Improving operations management of units" in Vissers J, Elkhuizen S and Proudlove N (Eds.) Operations Management for Healthcare  2nd ed. Routledge: Abingdon, UK. 
  • Vissers J, Elkhuizen S and Proudlove N (2022). "Chapter 9: Improving operations management of process chains" in Vissers J, Elkhuizen S and Proudlove N (Eds.) Operations Management for Healthcare  2nd ed. Routledge: Abingdon, UK. 
  • Vissers J, Elkhuizen S and Proudlove N (2022). "Chapter 10: Improving operations management of networks" in Vissers J, Elkhuizen S and Proudlove N (Eds.) Operations Management for Healthcare  2nd ed. Routledge: Abingdon, UK. 
  • Proudlove N (2022). "Chapter 11: Use and misuse of Queueing Theory for hospital capacity decisions" in Vissers J, Elkhuizen S and Proudlove N (Eds.) Operations Management for Healthcare  2nd ed. Routledge: Abingdon, UK. 

Teaching Cases

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 16 - Peace, Justice and Strong Institutions

Education/Academic qualification

Doctor of Philosophy, The University of Manchester

Award Date: 1 Sep 1999

Master of Philosophy, The University of Salford

Award Date: 1 Sep 1995

Master of Science, Operational Research, University of Birmingham

Award Date: 1 Sep 1988

Bachelor of Science, Physics, University of Bristol

Award Date: 1 Jul 1987

Areas of expertise

  • HA Statistics
  • Management Science
  • Operational Research
  • Operations Management
  • Quality Improvement
  • Applied Statistics
  • Data Science
  • Quantitative Modelling

Research Beacons, Institutes and Platforms

  • Digital Futures

Fingerprint

Dive into the research topics where Nathan Proudlove is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Network

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or