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Study information

Future Health: Beyond Data

Module titleFuture Health: Beyond Data
Module codeHPDM154Z
Academic year2021/2
Credits15
Module staff

Dr Neil Bacon (Lecturer)

Duration: Term123
Duration: Weeks

9

Module description

With a focus on outcomes-based healthcare, public health and prevention of disease, this module goes beyond data analytics and artificial intelligence to look at societies’ expectations and the way systems will adapt and evolve.

The module explores the application of artificial intelligence, and the scope of data analytics using real-time metrics to transform the quality and value of healthcare “from bedside to board”. New paradigms will be explored, such as how patient-centred care will be redefined by technically empowered patients shaping their care: “the patient will see you now”. The changing role and educational needs of the human professional will be considered, exploring where humans add value in future health systems and where smart devices know patients better than their carers through monitoring health metrics. 

Module aims - intentions of the module

This module will equip you with the knowledge, skills and attitudes required to innovate, lead and deliver digitally-integrated health and social care that meets the needs of individual patients and broader society. You will critically appraise the purpose and uses of data collection and analysis, including machine learning and predictive data to inform clinical decision-making. 

Intended Learning Outcomes (ILOs)

ILO: Module-specific skills

On successfully completing the module you will be able to...

  • 1. Critically evaluate previous transformative innovations in healthcare and other sectors and critically appraise the principles and actions that made them possible
  • 2. Demonstrate an ability to critically examine current problems in health and social care
  • 3. Demonstrate an ability to synthesise perspectives from different sectors to generate novel and holistic solutions to health and social care challenges

ILO: Discipline-specific skills

On successfully completing the module you will be able to...

  • 4. Demonstrate an independent ability to critical appraise, evaluate and synthesise the contemporary evidence base, and social and ethical considerations to deliver digitally-integrated population and patient solutions.

ILO: Personal and key skills

On successfully completing the module you will be able to...

  • 5. Create and present an independent review/report
  • 6. Critical self- reflection to enable personal development as a leader in the future of health and social care

Syllabus plan

Whilst  the precise content of the module may vary from year to year, an example of an overall structure is as follows:

  • What is data analytics?
  • Measuring, understanding and using outcomes and value (how universal data collection will facilitate outcomes-based healthcare).
  • Using data analytics to enable democratic access to health care.
  • Responsive healthcare: Applications of predictive data.
  • Data security and data sharing: Legal issues.
  • Political influences and drivers.
  • Moral and ethical considerations for AI use in healthcare.
  • The role of the human professional.
  • Future directions for the education of health care professionals.

Learning activities and teaching methods (given in hours of study time)

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad
21480

Details of learning activities and teaching methods

CategoryHours of study timeDescription
Guided independent study48Online resources including pre-recorded masterclasses; readings; discussion forums; reflective logs.
Scheduled Learning and Teaching 2Interactive small group webinars e.g. stepback consulting or small group discussion (Optional)
Guided independent study100Assignment preparation

Formative assessment

Form of assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
Case-based discussionsVarious and ongoing1-6Written

Summative assessment (% of credit)

CourseworkWritten examsPractical exams
10000

Details of summative assessment

Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
Web-based Infographic40500 words1-6Written
Critical appraisal of infographic drawing on literature 602000 words1-6Written

Details of re-assessment (where required by referral or deferral)

Original form of assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
Web-based Infographic (40%) Web-based Infographic (500 words)1-6Typically within six weeks of the result
Critical appraisal of infographic drawing on literature (60%) Critical appraisal of infographic drawing on literature (2000 words)1-6Typically within six weeks of the result

Re-assessment notes

Please refer to the TQA section on Referral/Deferral: http://as.exeter.ac.uk/academic-policy-standards/tqa-manual/aph/consequenceoffailure/ 

Indicative learning resources - Basic reading

Ascione, R (2021) The Future of Health: How Digital Technology Will Make Care Accessible, Sustainable, and Human. Wiley: New Jersey

 Dal Mas et al (2020) “Strategy Innovation, Intellectual Capital Management, and the Future of Healthcare: The Case of Kiron by Nucleode”, by Dal Mas F., Piccolo D., Edvinsson L., Skrap M., D’Auria S. (2020) in Knowledge, People, and Digital Transformation. Contributions to Management Science. Springer: https://doi-org.uoelibrary.idm.oclc.org/10.1007/978-3-030-40390-4_9 (see attached).

 

Koch (2021) “Welcome to the revolution: COVID-19 and the democratization of spatial-temporal data” Patterns 2, July 8, 2021.

NHS (2019). The Topol Review Preparing the healthcare workforce to deliver the digital future. The Topol Review — NHS Health Education England (hee.nhs.uk)

Pillay, R (2018) Healthcare 3.0: How Technology Is Driving the Transition to Prosumers, Platforms and Outsurance. Xlibris: US

Topol, E (2019) Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic books

Zuboff, S. (2019). The age of surveillance capitalism The fight for a human future at the new frontier of power, Profile Books. Chapter 7 The reality business

 

Indicative learning resources - Web based and electronic resources

Data saves lives: reshaping health and social care with data

https://www.gov.uk/government/publications/data-saves-lives-reshaping-health-and-social-care-with-data-draft/data-saves-lives-reshaping-health-and-social-care-with-data-draft

The Future of Health (Deloitte discussion materials)

https://www2.deloitte.com/us/en/pages/life-sciences-and-health-care/articles/future-of-health.html

Future health index - A resilient future (Philips white paper)

https://www.philips.com/c-dam/corporate/newscenter/global/future-health-index/report-pages/experience-transformation/2021/philips-future-health-index-2021-report-healthcare-leaders-look-beyond-the-crisis-global.pdf

Key words search

Healthcare Management, Future Health, Data, Leadership, Innovation

Credit value15
Module ECTS

7.5

Module pre-requisites

None

Module co-requisites

None

NQF level (module)

7

Available as distance learning?

Yes

Origin date

04/03/2022

Last revision date

16/03/2022