Back to search results

PhD Studentship: Improving Reliability and Efficiency of Medical Processes through Patient-centred Modelling and Technological Solutions

University of Nottingham - Engineering

Qualification Type: PhD
Location: Nottingham
Funding for: UK Students, EU Students, International Students
Funding amount: Not Specified
Hours: Full Time
Placed On: 1st December 2022
Closes: 28th February 2023
Reference: ENG1609

Location: UK Other

Supervised by Rasa Remenyte-Prescott (Faculty of Engineering)

Aim: To investigate how deviations in healthcare service can be reduced using patient-centred simulation models and computer vision techniques

Background

Adverse events and preventable failures in healthcare services represent a key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which influences process reliability, efficiency of usage of hospital resources and risk to staff and patient safety. Computer vision approaches can be used to identify deviations in both technical and potentially non-technical skills of medical staff, such as poor team dynamics, problems with communication and a lack of leadership. The obtained data can then be fed into computer-based simulation models that are used to evaluate a range of deviations from guidelines and their effects on procedure outcomes and used to support operational and strategic decisions. Undoubtedly, the usage of such approaches can only become successful if patients are placed in the heart of technology usage, which is designed with patients’ perspective in mind.

Proposed project

This project would investigate commonly observed deviations in healthcare service and opportunities for identification of such deviations using computer vision approaches. It will demonstrate how deviation data can be used in computer-based simulation models, which are used to evaluate effects of deviations and to support decisions. It will focus on investigating how deviation data can be used in real time decision-making process, how accepting patients and staff are for such technologies and what integral role they should play in evaluating and ensuring an uptake of such technologies. The proposed method will be potentially applied to processes carried out in an operating theatre.

Summary: Open to UK/EU/overseas students. Look for funding sources at www.nottingham.ac.uk/pgstudy/funding/postgraduate-funding.aspx

Entry Requirements: Starting October 2023, we require an enthusiastic graduate with a 1st class degree in engineering, maths, psychology or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered).

To apply visit: www.nottingham.ac.uk/pgstudy/apply/apply-online.aspx

For any enquiries about the project and the funding please email Rasa Remenyte-Prescott (r.remenyte-prescott@nottingham.ac.uk)

This studentship is open until filled. Early application is strongly encouraged.

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

PhD tools
 

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Ok Ok

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Manage your job alerts Manage your job alerts

Account Verification Missing

In order to create multiple job alerts, you must first verify your email address to complete your account creation

Request verification email Request verification email

jobs.ac.uk Account Required

In order to create multiple alerts, you must create a jobs.ac.uk jobseeker account

Create Account Create Account

Alert Creation Failed

Unfortunately, your account is currently blocked. Please login to unblock your account.

Email Address Blocked

We received a delivery failure message when attempting to send you an email and therefore your email address has been blocked. You will not receive job alerts until your email address is unblocked. To do so, please choose from one of the two options below.

Max Alerts Reached

A maximum of 5 Job Alerts can be created against your account. Please remove an existing alert in order to create this new Job Alert

Manage your job alerts Manage your job alerts

Creation Failed

Unfortunately, your alert was not created at this time. Please try again.

Ok Ok

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

 
 
 
More PhDs from University of Nottingham

Show all PhDs for this organisation …

More PhDs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge