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  • General

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  • Health Data in Practice MODULE INFORMATION

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    • Module Description

      Module Lead: Prof Carol Dezateux (c.dezateux@qmul.ac.uk)

      The module provides an introduction to health data in practice with a focus on health care delivery challenges and patient and population health outcomes from an interdisciplinary perspective.  It will provide you with a grounding in legal and ethical frameworks governing health data access and use, and the role of patient, health professional and public engagement for delivering the full potential of health data sciences for public benefit.


      Learning Aims and Outcomes

      By introducing you to the attributes of health data and methodological innovations across different disciplines for its analysis and interpretation, as well as the ethical and legal frameworks and public perspectives on its use, the module will help you to draw on multi-disciplinary human-centred approaches to develop research that informs health data in practice.  In doing so, it equips you with the critical appraisal skills and knowledge required to develop a research proposal for their dissertation at the appropriate level for this degree.


    • MODULE EXPECTATIONS


      TEACHING ARRANGEMENTS

      Each lecture is based on the week’s topic. 


      SEMINARS

      These are the core learning experience of the module. 

      How you engage with seminars, is therefore crucial to your success.

      PREPARING FOR THIS MODULE

      • Review lecture notes and use the recommended reading list to enhance your understanding of the week’s topic.
      • Complete the post-seminar task ahead of the following seminar as the task will be discussed and reflected on within the next session.


      Tip: Make it a goal to read one extra item a week.


  • Where to get help

    There will undoubtedly be times during the term when you get stuck doing your homework or project. This is normal. 

    Who to contact for what:

    Module Lead: Prof Carol Dezateux, c.dezaeux@qmaul.uk.

    Module administration: Dr Ele Groves, e.groves@qmul.ac.uk.

    Prof Dezateux has an 'Open door' session each week at 8:30-9am every Thursday, to discuss any issues or questions related to the module. You can either schedule an appointment or drop-in via MS Teams.

    Likewise Ele has an 'Open door' session at 4:00-4:30pm every Wednesday to discuss any administrative or training needs. Feel free to email her to schedule an appointment during this time or drop-in via MS Teams.


  • Week 1 - Learning Health Systems: a fundamental framework for health data in practice

    • week 1 - lecture:

      Learning Health Systems: a fundamental framework for health data in practice.

       week 1 - SEMINAR topic: 

      NASSS CAT tool: immunisation

      week 1 post seminar TASKS: 

      NASSS appraisal of paper (links below).

    • File icon
      Week 1 lecture slides File
      4.6 MB

      These slides accompany week 1 live lecture

    • File icon
      Week 1 - post seminar assignment File
      1.7 MB

      Click link for this week's assignment, the paper to be reviewed can be found below. This will be reviewed in the Week 2 seminar.


    • File icon
      Week 1 - post seminar assignment paper File
      1.1 MB

      Click this link for the paper for which to conduct the NASSS appraisal.

  • Week 2 - Data linkage: methods and quality assurance

  • week 3 - Electronic health records: sources of hospital data

  • Week 4 - Electronic health records: sources of primary care data

    • week 4 - lecture: 

      Electronic health records: sources of primary care data.

       

      week 4 - SEMINAR TOPIC: 

      STROBE anaylsis discussion.

       

      week 4 POST-SEMINAR TASK:

      Critical analysis of BMJJ paper (link below).


    • File icon
      Week 4 title - slides File
      1.5 MB

      These slides accompany week 4 live lecture

    • File icon
      Week 4 Assignment File
      667.9 KB

      Critical appraisal of this BMJ paper.

  • Week 5 - Electronic health records: geographical data

    • WEEK 5 - LECTURE: 

      Electronic health records: geographical data

       

      WEEK 5 - SEMINAR TOPIC: 

      Critical analysis of BMJJ paper 


      WEEK 5 Post-seminar TASK:

      See link below for assignment paper.


    • File icon
      Week 5 slides File
      1.0 MB

      These slides accompany week 5 live lecture

    • File icon
      Week 5 Assignment Paper File
      5.0 MB

  • week 6 -Ethical and legal considerations in using patient data for research

    • WEEK 6 - LECTURE: 

      Ethical and legal considerations in using patient data for research.

       

      WEEK 6 - SEMINAR TOPIC:

      Discussion of Week 5 assignment.

       

      WEEK 6 post-seminar TASK:

      To complete MRC Regulatory Support Centre Learning Management System training by creating an account on this page

      https://byglearning.co.uk/mrcrsc-lms/login/index.php


    • File icon
      Week 6 - slides (copy) File
      2.0 MB

      These slides accompany week 6 live lecture

    • URL icon
      Week 6 Assignment URL

      Use this link to take you to an external link with relevant information.

      •There you will find 10 e-learning modules which will reinforce your understanding of these topics

      •These should take no more than 2-3 hours to watch and you are asked to do this over the coming week

      •There is an associated quiz which you are asked to complete and pass (you can download a certificate to show you have done so)

      •If necessary, you can use next week’s tutorial time to complete this assignment or we can regroup and discuss any issues arising


  • week 7 - Controlled Clinical Terminologies: SNOMED CT

    • WEEK 7 - LECTURE: 

      Controlled Clinical Terminologies: SNOMED CT

       

      WEEK 7 - SEMINAR TOPIC:

      Discussion of GDPR training and dissertation proposals.

       

      WEEK 7 post-seminar TASK:

      Assignment 2: 
      2500 assessed assignment, due 15 January 2020.

    • File icon
      Week 7 - slides File
      751.6 KB

      These slides accompany week 7 live lecture

    • Assignment icon
      Assignment 2 - Deadline: 15/1/21 23:55
      Make a submission

      Assignment details

      2500 word marked assignment (c 10 pages double spaced)

      Title: A critical assessment of coding terminologies and reference sets used to identify ethnic background

      1) Using relevant browsers search for and identify all available codesets used to identify a person’s ethnic background from information held in the electronic health record, including

      • SNOMED CT reference sets

      • ONS Census codes (READ)

      • NHS data dictionary codesets including ONS and PDS codes

      2) Consider, compare and summarise their differences

      3) Prepare a 2500 word report of your approach, methods, and findings including discussion of implications for studies based on primary care electronic health records that require reporting or analysis of ethnic background citing relevant publications retrieved from the literature

      To be handed in by 15th January 2020

      Submission Instructions

      Essays must be submitted in a .doc, .docx or pdf formats. Essays submitted in other formats will not be accepted. Corrupt or otherwise unreadable files will not be accepted.

      Submission Checklist

      • Has your file been saved in Microsoft Word or PDF format?
      • Have you attached a DDS Coversheet, if you have one?
      • Have you clicked [Submit] after uploading?
      • Have you checked that the file you uploaded is the correct version?

      The first time you submit, you will be required to accept the Turnitin End User Licence Agreement.

      After uploading, it is your responsibility to check that your file is in the correct format and that it is readable.


  • week 8 - Patient data and datadriven technologies in health care: patient and public perspectives

    • WEEK 8 - LECTURE: 

      Patient data and data-driven technologies in health care: patient and public perspectives

       

      WEEK 8 - SEMINAR TOPIC:

      No seminar - Turing Institute Conference

       

      WEEK 8 post-seminar TASK:

      No assignment.

    • File icon
      Week 8 - slides File
      2.6 MB

      These slides accompany week 8 live lecture

  • week 9 - Co-production in research

    • WEEK 9 - LECTURE TOPIC:

      Co-production in research.

       

      WEEK 9 - SEMINAR TOPIC:

      No seminar (discussion of MRes dissertation projects).

       

      WEEK 9 TASKS

       Co-production Assignment, due 15 December 2020.


    • File icon
      Week 9 - slides (copy) File
      3.8 MB

      These slides accompany week 9 live lecture

    • Assignment icon
      Assignment 1 - Co-production in Research

      Weighting - 20% of total module marks

      Deadline: 18th December, (midnight). You will receive marks in early January.

       

      Read research paper: Sharpe et al 2018 ‘It’s my diabetes’: Co-production in practice with young people in delivering a ‘perfect’ care pathway for diabetes.

      Part 1: Provide a lay summary of the paper (500 words) including the key findings.

      Part 2: Give an overview of the strengths and limitations of their approach (250 words) and your suggestions for how they could improve their approach in the future (250 words).

      1000 words total.

      SUBMISSION INSTRUCTIONS

      Essays must be submitted in a .doc, .docx or pdf formats. Essays submitted in other formats will not be accepted. Corrupt or otherwise unreadable files will not be accepted.

      SUBMISSION CHECKLIST

      • Has your file been saved in Microsoft Word or PDF format?
      • Have you attached a DDS Coversheet, if you have one?
      • Have you clicked [Submit] after uploading?
      • Have you checked that the file you uploaded is the correct version?

      The first time you submit, you will be required to accept the Turnitin End User Licence Agreement.

      After uploading, it is your responsibility to check that your file is in the correct format and that it is readable.


  • week 10 - Trustworthy development and use of Artificial Intelligence in health care

    • WEEK 10 - LECTURE: 

      Trustworthy development and use of Artificial Intelligence in health care

       WEEK 10 - SEMINAR: 

       None this week.

      WEEK 10 TASKS

      Work on Assignments 1 (due 18 December 2020) and 2 (due 15 Jan 2021)


    • File icon
      Week 10 - slides File
      3.0 MB

      These slides accompany week 10 live lecture