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  1. Article ; Online: Ten simple rules for teaching applied programming in an authentic and immersive online environment.

    Hooley, Frances / Freeman, Peter J / Davies, Angela C

    PLoS computational biology

    2021  Volume 17, Issue 8, Page(s) e1009184

    MeSH term(s) Computational Biology/education ; Computer Simulation ; Curriculum ; Education, Distance/methods ; Humans ; Problem Solving ; Social Learning ; Social Media ; Software ; Students
    Language English
    Publishing date 2021-08-05
    Publishing country United States
    Document type Editorial
    ZDB-ID 2193340-6
    ISSN 1553-7358 ; 1553-734X
    ISSN (online) 1553-7358
    ISSN 1553-734X
    DOI 10.1371/journal.pcbi.1009184
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Digital interventions for genomics and genetics education, empowerment, and service engagement: A systematic review.

    Gasteiger, Norina / Vercell, Amy / Khan, Naz / Dowding, Dawn / Davies, Angela C / Davies, Alan

    Journal of community genetics

    2023  Volume 14, Issue 3, Page(s) 227–240

    Abstract: Background: Patient-facing digital technologies may reduce barriers to and alleviate the burden on genetics services. However, no work has synthesised the evidence for patient-facing digital interventions for genomics/genetics education and empowerment, ...

    Abstract Background: Patient-facing digital technologies may reduce barriers to and alleviate the burden on genetics services. However, no work has synthesised the evidence for patient-facing digital interventions for genomics/genetics education and empowerment, or to facilitate service engagement more broadly. It is also unclear which groups have been engaged by digital interventions.
    Aim: This systematic review explores which existing patient-facing digital technologies have been used for genomics/genetics education and empowerment, or to facilitate service engagement, and for whom and for which purposes the interventions have been developed.
    Methods: The review adhered to the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. Eight databases were searched for literature. Information was extracted into an Excel sheet and analysed in a narrative manner. Quality assessments were conducted using the Mixed Methods Appraisal Tool.
    Results: Twenty-four studies were included, of which 21 were moderate or high quality. The majority (88%) were conducted in the United States of America or within a clinical setting (79%). More than half (63%) of the interventions were web-based tools, and almost all focussed on educating users (92%). There were promising results regarding educating patients and their families and facilitating engagement with genetics services. Few of the studies focussed on empowering patients or were community-based.
    Conclusion: Digital interventions may be used to deliver information about genetics concepts and conditions, and positively impact service engagement. However, there is insufficient evidence related to empowering patients and engaging underserved communities or consanguineous couples. Future work should focus on co-developing content with end users and incorporating interactive features.
    Language English
    Publishing date 2023-05-18
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 2543127-4
    ISSN 1868-6001 ; 1868-310X
    ISSN (online) 1868-6001
    ISSN 1868-310X
    DOI 10.1007/s12687-023-00648-w
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  3. Article ; Online: Applying Co-Design Principles for the Development of Health Education and Workforce Development.

    Davies, Alan / Hooley, Frances / Eleftheriou, Iliada / Abdulhussein, Hatim / Davies, Angela C

    Studies in health technology and informatics

    2022  Volume 298, Page(s) 39–45

    Abstract: The digital transformation of the UK's healthcare system necessitates the development of digital capabilities across the workforce. This ranges from basic digital literacy through to advanced skills with data and analytic methods. We present two projects ...

    Abstract The digital transformation of the UK's healthcare system necessitates the development of digital capabilities across the workforce. This ranges from basic digital literacy through to advanced skills with data and analytic methods. We present two projects that apply co-design to work with end-users and other stakeholders to produce a digital healthcare technologies capability framework aimed at the wider NHS workforce and a post graduate Clinical Data Science course aimed at bridging the gap between clinicians and the data-centric professions (e.g. analysts, data scientists, informaticians) to aid in digital transformation projects.
    MeSH term(s) Delivery of Health Care ; Health Education ; Staff Development ; Workforce
    Language English
    Publishing date 2022-08-29
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI220904
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Problem-based learning in clinical bioinformatics education: Does it help to create communities of practice?

    Davies, Angela C / Harris, Diane / Banks-Gatenby, Amanda / Brass, Andy

    PLoS computational biology

    2019  Volume 15, Issue 6, Page(s) e1006746

    Abstract: We have now reached the genomics era within medicine; genomics is being used to personalise treatment, make diagnoses, prognoses, and predict adverse outcomes resulting from treatment with certain drugs. Genomic data is now abundant in healthcare, and ... ...

    Abstract We have now reached the genomics era within medicine; genomics is being used to personalise treatment, make diagnoses, prognoses, and predict adverse outcomes resulting from treatment with certain drugs. Genomic data is now abundant in healthcare, and the newly created profession of clinical bioinformaticians are responsible for its analysis. In the United Kingdom, clinical bioinformaticians are trained within a 3-year programme, integrating a work-based placement with a part-time Master's degree. As this profession is still developing, trainees can feel isolated from their peers whom are located in other hospitals and can find it difficult to gain the mentorship that they require to complete their training. Building strong networks or communities of practice (CoPs) and allowing sharing of knowledge and experiences is one solution to addressing this isolation. Within the Master's delivered at the University of Manchester, we have integrated group-centred problem-based learning (PBL) using real clinical case studies worked on during each course unit. This approach is combined with a flipped style of teaching providing access to online content in our Virtual Learning Environment before the course. The face-to-face teaching is used to focus on the application of the students' knowledge to clinical case studies. In this study, we conducted semistructured interviews with 8 students, spanning 3 cohorts of students. We evaluated the effectiveness of this style of teaching and whether it had contributed to the formation of CoPs between our students. Our findings demonstrated that this style of teaching was preferred by our students to a more traditional lecture-based format and that the problem-based learning approach enabled the formation of CoPs within these cohorts. These CoPs are valuable in the development of this new profession and assist with the production of new guidelines and policies that are helping to professionalise this new group of healthcare scientists.
    MeSH term(s) Communication ; Computational Biology/education ; Humans ; Interviews as Topic ; Problem-Based Learning/methods
    Language English
    Publishing date 2019-06-27
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2193340-6
    ISSN 1553-7358 ; 1553-734X
    ISSN (online) 1553-7358
    ISSN 1553-734X
    DOI 10.1371/journal.pcbi.1006746
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Automated reanalysis application to assist in detecting novel gene-disease associations after genome sequencing.

    Mensah, Nana E / Sabir, Ataf H / Bond, Andrew / Roworth, Wendy / Irving, Melita / Davies, Angela C / Ahn, Joo Wook

    Genetics in medicine : official journal of the American College of Medical Genetics

    2021  Volume 24, Issue 4, Page(s) 811–820

    Abstract: Purpose: This study aimed to investigate whether a bioinformatics application can streamline genome reanalysis and yield new diagnoses for patients with rare diseases.: Methods: We developed TierUp to identify variants in new disease genes for ... ...

    Abstract Purpose: This study aimed to investigate whether a bioinformatics application can streamline genome reanalysis and yield new diagnoses for patients with rare diseases.
    Methods: We developed TierUp to identify variants in new disease genes for unresolved rare disease cases recruited to the 100,000 Genomes Project, all of whom underwent genome sequencing. TierUp uses the NHS Genomic Medicine Service bioinformatics infrastructure by securely accessing case details from the Clinical Interpretation Portal application programming interface and by querying the curated PanelApp database for novel gene-disease associations. We applied TierUp to 948 cases, and a subset of variants were reclassified according to the American College of Medical Genetics and Genomics/Association of Molecular Pathology guidelines.
    Results: A rare form of spondylometaphyseal dysplasia was diagnosed through TierUp reanalysis, and an additional 4 variants have been reported to date. From a total of 564,441 variants across patients, TierUp highlighted 410 variants present in novel disease genes in under 77 minutes, successfully expediting an important reanalysis strategy.
    Conclusion: TierUp supports claims that automation can reduce the time taken to reanalyze variants and increase the diagnostic yield from molecular testing. Clinical services should leverage bioinformatics expertise to develop tools that enable routine reanalysis. In addition, services must also explore the ethical, legal, and health economic considerations raised by automation.
    MeSH term(s) Computational Biology ; Genomics ; Humans ; Osteochondrodysplasias ; Rare Diseases/genetics ; Software
    Language English
    Publishing date 2021-11-27
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1455352-1
    ISSN 1530-0366 ; 1098-3600
    ISSN (online) 1530-0366
    ISSN 1098-3600
    DOI 10.1016/j.gim.2021.11.021
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  6. Article ; Online: Educating the Healthcare Workforce to Support Digital Transformation.

    Davies, Angela C / Davies, Alan / Abdulhussein, Hatim / Hooley, Frances / Eleftheriou, Iliada / Hassan, Lamiece / Bromiley, Paul A / Couch, Philip / Wasiuk, Catherine / Brass, Andy

    Studies in health technology and informatics

    2022  Volume 290, Page(s) 934–936

    Abstract: Digital transformation of the healthcare workforce is a priority if we are to leverage the potential of digital technologies, artificial intelligence in clinical decision support and the potential of data captured within electronic health records. ... ...

    Abstract Digital transformation of the healthcare workforce is a priority if we are to leverage the potential of digital technologies, artificial intelligence in clinical decision support and the potential of data captured within electronic health records. Educational programmes need to be diverse and support the digital novices through to the champions whom will be responsible for procuring and implementing digital solutions. In order to professionalise the workforce in this area, digital competencies need to be built into training from early on and be underpinned by frameworks that help to guide regulators and professional bodies and support educational providers to deliver them. Here we describe Manchester's involvement in the development of digital competency frameworks and our digital transformation education programmes that we have created, including a Massive Online Open Course and a professional development course for England's Topol Digital Fellows.
    MeSH term(s) Artificial Intelligence ; Delivery of Health Care ; Health Personnel/education ; Humans ; Workforce
    Language English
    Publishing date 2022-06-08
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI220217
    Database MEDical Literature Analysis and Retrieval System OnLINE

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