Closing Date : 26/02/2017
Employment Type : Fixed Term
Duration : As soon as possible until 31 December 2018
Faculty / Organisational Unit : Biology, Medicine & Health
School/Directorate : School of Health Sciences
Division : Informatics, Imaging & Data Sciences
Hours Per week : 1 FTE
Salary : £31,076 to £38,183 per annum
Location : Oxford Road, Manchester
Job Reference : BM&H-09538

We are seeking a medical statistician with significant, relevant and
up to date knowledge in the advanced statistical analysis of large
health datasets to contribute to contribute to projects in the Greater
Manchester Connected Health City, with a particular focus on a stroke
project. A PhD in statistics or a related area (or equivalent
experience) is essential, as is experience in the analysis of complex
healthcare problems and datasets.



The Greater Manchester Connected Health City

Health systems worldwide are under pressure to deliver better care for
more people from fewer resources. The global economic crisis has
shrunk the resources available for healthcare but the growth in demand
for care services continues unabated. Connected Health Cities is a
government-funded programme that aims to create "learning health
systems" across North England by harnessing data that is routinely
captured by health services, applying advanced data analytics methods,
and feeding the results back to clinicians, patients, public health
professionals, and other stakeholders in the health service; in other
to deliver better outcomes for patients and communities. The programme
covers four regions (Greater Manchester, North West Coast, Connected
Yorkshire, and North East and North Cumbria) and has an extensive
public engagement programme that aims to establish a social license to
use health data for service redesign. Furthermore, it aims to
accelerate business growth in the digital health sector in North
England.

The Greater Manchester Connected Health City (GM CHC) will establish a
learning health system across Greater Manchester, enabling the trusted
re-use of healthcare data, efficient data preparation and big data
analytics, with results implemented and actioned back in the NHS. In
order to do this, necessary steps include collaboration with local NHS
Trusts and Clinical Commissioning Groups and the many stakeholder
groups therein, development of an infrastructure that supports data
sharing and analysis, public engagement and liaison with governing
bodies to define an appropriate ethical and governance framework,
establishing partnership with industry (for example to support
e-infrastructure development, data capture, data analytics etc) and
continuous communication with relevant groups.

The informatics infrastructure needs a corresponding data analytics
capability that provides the methods and computing facilities that
enable the transformation of data into knowledge that is appropriately
actionable by professional users and citizens. The data analytics
capability needs skilled health informatics professionals to generate
insights and evidence from data. The GM CHC programme focuses on three
clinical examplars to develop and test its methodology: reduction of
overprescribing of antibiotics and antimicrobial resistance; acute and
post-acute care for patients with stroke; and community wound care.

Stroke Pathway Project
The signs of a stroke can begin suddenly. Often, it’s a paramedic that
is the first person to assess a patient suffering from stroke and
depending on how severe their symptoms are they may be taken to a
specialist stroke unit or to their local hospital.

There is a lot of support available for people that have had a stroke.
This support can come from GPs, doctors working in specialist units,
from local hospitals and out in the community. Each of these services
record information in their databases but there isn’t any way for
doctors, health professionals and researchers to get an overview of
how patients flow through and in-between services.

Working on this project you will analyse data from different stroke
services to develop a comprehensive overview of how stroke patients
pass between primary, secondary and community care in Manchester and
Salford. Not only will this allow us to better understand the patient
journey, we will also be able to spot gaps in the care that is offered
and suggest improvements to support stroke patients and ensure
services are efficient and well-coordinated.


For further details and to apply please see:

https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12872


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