Jim Briggs

Jim Briggs

University of Portsmouth

H-index: 20

Europe-United Kingdom

About Jim Briggs

Jim Briggs, With an exceptional h-index of 20 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Portsmouth, specializes in the field of Health informatics, Clinical outcome modelling, e-health, Computer science, Software Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Safer and more efficient vital signs monitoring protocols to identify the deteriorating patients in the general hospital ward: an observational study.

Methodology for illness detection by data analysis techniques

Response to letter:" Early Warning Scores to assess Risk before emergency laparotomy"

Safer and more efficient vital signs monitoring to identify the deteriorating patient: An observational study towards deriving evidence-based protocols for patient surveillance …

Evaluating the performance of the National Early Warning Score in different diagnostic groups

Novel predictors of mortality in emergency bowel surgery: a single‐centre cohort study

Operative and non-operative management for intestinal emergencies: findings from a single-centre retrospective cohort study

Early warning scores to assess risk before emergency laparotomy: a reply

Jim Briggs Information

University

Position

___

Citations(all)

2693

Citations(since 2020)

2139

Cited By

1261

hIndex(all)

20

hIndex(since 2020)

17

i10Index(all)

29

i10Index(since 2020)

18

Email

University Profile Page

University of Portsmouth

Google Scholar

View Google Scholar Profile

Jim Briggs Skills & Research Interests

Health informatics

Clinical outcome modelling

e-health

Computer science

Software Engineering

Top articles of Jim Briggs

Title

Journal

Author(s)

Publication Date

Safer and more efficient vital signs monitoring protocols to identify the deteriorating patients in the general hospital ward: an observational study.

Jim Briggs

Ina Kostakis

Paul Meredith

Chiara Dall’ora

Julie Darbyshire

...

2024/3

Methodology for illness detection by data analysis techniques

Applied Aspects of Information Technology

Vira V Liubchenko

Nataliia O Komleva

Svitlana L Zinovatna

Jim Briggs

2023/9/18

Response to letter:" Early Warning Scores to assess Risk before emergency laparotomy"

Anaesthesia

Alexander Ross Darbyshire

Ina Kostakis

Jim Briggs

2023/6/30

Safer and more efficient vital signs monitoring to identify the deteriorating patient: An observational study towards deriving evidence-based protocols for patient surveillance …

Jim Briggs

Ina Kostakis

Paul Meredith

Chiara Dall'Ora

Julie Darbyshire

...

2023/5/22

Evaluating the performance of the National Early Warning Score in different diagnostic groups

Resuscitation

Connor Price

David Prytherch

Ina Kostakis

Jim Briggs

2023/12/1

Novel predictors of mortality in emergency bowel surgery: a single‐centre cohort study

Anaesthesia

AR Darbyshire

I Kostakis

P Meredith

SKC Toh

D Prytherch

...

2023/5

Operative and non-operative management for intestinal emergencies: findings from a single-centre retrospective cohort study

The Annals of The Royal College of Surgeons of England

Alexander Ross Darbyshire

Ina Kostakis

Paul Meredith

Caroline Kovacs

David Prytherch

...

2023/10/29

Early warning scores to assess risk before emergency laparotomy: a reply

Anaesthesia

AR Darbyshire

I Kostakis

J Briggs

all the authors

2023/10

SP10. 1.2 Novel Predictors of Mortality in Emergency Bowel Surgery: A Single Centre Cohort Study

British Journal of Surgery

Alexander Darbyshire

Ina Kostakis

Paul Meredith

Simon Toh

David Prytherch

...

2022/8

Safer and more efficient vital signs monitoring: an observational study

ISRCTN Registry

J Briggs

I Kostakis

P Meredith

J Darbyshire

S Gerry

...

2022/8/10

Observational study of the relationship between nurse staffing levels and compliance with mandatory nutritional assessments in hospital

Journal of Human Nutrition and Dietetics

Alejandra Recio‐Saucedo

Gary B Smith

Oliver Redfern

Antonello Maruotti

Peter Griffiths

...

2021/8

Detecting deteriorating patients in the hospital: development and validation of a novel scoring system

American Journal of Respiratory and Critical Care Medicine

Marco AF Pimentel

Oliver C Redfern

James Malycha

Paul Meredith

David Prytherch

...

2021/7/1

How long do nursing staff take to measure and record patients’ vital signs observations in hospital? A time-and-motion study

International journal of nursing studies

Chiara Dall'Ora

Peter Griffiths

Joanna Hope

Jim Briggs

Jones Jeremy

...

2021/6/1

The performance of the National Early Warning Score and National Early Warning Score 2 in hospitalised patients infected by the severe acute respiratory syndrome coronavirus 2 …

Resuscitation

Ina Kostakis

Gary B Smith

David Prytherch

Paul Meredith

Connor Price

...

2021/2/1

Implementing a system for the real-time risk assessment of patients considered for intensive care

BMC Medical Informatics and Decision Making

Simarjot S Dahella

James S Briggs

Paul Coombes

Nazli Farajidavar

Paul Meredith

...

2020/12

Predicting hospital mortality for intensive care unit patients: time-series analysis

Health informatics journal

Aya Awad

Mohamed Bader-El-Den

James McNicholas

Jim Briggs

Yasser El-Sonbaty

2020/6

See List of Professors in Jim Briggs University(University of Portsmouth)

Co-Authors

H-index: 89
Lionel Tarassenko

Lionel Tarassenko

University of Oxford

H-index: 69
Peter Griffiths

Peter Griffiths

University of Southampton

H-index: 61
David A. Clifton

David A. Clifton

University of Oxford

H-index: 47
Dankmar Boehning

Dankmar Boehning

University of Southampton

H-index: 43
David Prytherch

David Prytherch

University of Portsmouth

H-index: 40
Jane Ball

Jane Ball

University of Southampton

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