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Hebert S, Tietze M, Gaines C. A Practical Approach to Integrating a Telehealth Course and Health Informatics Skills Into a Curriculum for Advanced-Level Nursing Students. J Nurs Educ 2024:1-4. [PMID: 38916867 DOI: 10.3928/01484834-20240423-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
BACKGROUND Telemedicine and health informatics are a common aspect of patient care delivery in the United States. Graduate-level nursing students must be knowledgeable of telehealth and health informatics prior to entering the workforce as an advanced practice nurse. Nursing educators must provide educational opportunities within the curriculum that focus on telehealth and health informatics concepts that align with competencies. The Essentials: Core Competencies for Professional Nursing Education includes a new Domain #8 called, "Informatics and Healthcare Technologies," where five key subdomains of this competency are defined. METHOD This article describes the college's approach to incorporating telehealth and health informatics into the graduate-level curriculum and the associated alignment to the 2022 Essentials. RESULTS Faculty professional development and course revision strategies improved the infrastructure for teaching telehealth and health informatics. CONCLUSION The new Domain, #8, Informatics and Healthcare Technologies, can be successfully infused into the DNP curriculum with student engagement. [J Nurs Educ. 2024;63(X):XXX-XXX.].
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O'Connor S, Cave L, Philips N. Informing nursing policy: An exploration of digital health research by nurses in England. Int J Med Inform 2024; 185:105381. [PMID: 38402804 DOI: 10.1016/j.ijmedinf.2024.105381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 02/15/2024] [Accepted: 02/16/2024] [Indexed: 02/27/2024]
Abstract
AIMS Digital health technologies are designed, implemented, and evaluated to support clinical practice, enable patients to self-manage illness, and further public and global health. Nursing and health policies often emphasise the importance of evidence-based digital health services to deliver better care. However, the contribution nurses make to digital health research in many countries is unknown. Hence, this study aims to examine digital health research conducted by nurses in England. DESIGN A bibliometric analysis. METHODS The CINAHL, MEDLINE, and Scopus databases were searched between 2000 and 2022, and supplemented with a hand search of nurses' research profiles. Results were screened by title, abstract, and full text against eligibility criteria. Data were extracted and bibliometric analysis used to summarise the findings. RESULTS Mental health nurses produced the most digital health research in England, followed by nurses working in community care, with several disciplines underrepresented or missing. Web/online health services or information was the most researched technology, followed by mobile health and telehealth. Nurses based in the south-east and north-west of England produced the most digital health research, with other regions less well represented. CONCLUSION Nurse leaders should support nurses to conduct more digital health research by providing dedicated time, funding, and professional development opportunities, particularly in under researched clinical areas, technologies, and geographic regions to further evidence-based practice and patient care. More digital nursing data is needed to support nurse led research in areas like artificial intelligence and data science. The findings supported the national Philips Ives Review by identifying areas of digital nursing research that need more investment in England.
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Affiliation(s)
- Siobhan O'Connor
- Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, United Kingdom.
| | - Louise Cave
- NHS England Transformation Directorate, NHS England, United Kingdom.
| | - Natasha Philips
- School of Health & Society, University of Salford, United Kingdom.
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Wu C, Zhang H, Lin Y, Yuan W, He J, Li L, Jiang D, Ji Z, Lang H. Construction and application of the core competence course training system for infectious disease specialist nurses. BMC MEDICAL EDUCATION 2024; 24:410. [PMID: 38622627 PMCID: PMC11017496 DOI: 10.1186/s12909-024-05405-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 04/09/2024] [Indexed: 04/17/2024]
Abstract
OBJECTIVES This study aims to construct and apply a training course system which was scientific and comprehensive to foster the core competence of infectious disease specialist nurses. DESIGN A two-round Delphi consultation survey was carried out to collect feedback from experts on constructing the training course system of core competence for infectious disease specialist nurses. Besides, a non-randomized controlled experimental study was adopted to check the application effect of the courses. METHODS This study adopted a series of methods including group discussion, theoretical analysis and Delphi consultation to draft the training course content of core competence of infectious disease specialist nurses. Twenty-one Chinese experts were invited to participate in the Delphi consultation from November 2021 to December 2021. From October 2022 to January 2023, a total of 105 infectious disease specialist nurses from two training bases were selected by the convenience sampling method, of which the nurses in one training base were the control group and the nurses in the other training base were the observation group. The observation group was trained by the constructed core competence training course. Questionnaire evaluation was used to compare the core competence of infectious disease specialist nurses and the training effect. RESULTS The experts, regarded as the authorities on the subject, were highly motivated in this study. Besides, they reached a consensus on the results. The final training course system of core competence for infectious disease specialist nurses focused on 5 competence modules and was composed of 12 categories of courses with 66 classes and corresponding objectives. The core competence scores of the observation group were significantly higher than those in the control group after training (P < 0.05), which proved the training system can effectively enhance the core competence of infectious disease specialist nurses. CONCLUSIONS The research methods embodied scientific and precise properties. The course system was comprehensive in content and reliable in results. It could serve as a reference for training infectious disease specialist nurses.
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Affiliation(s)
- Chao Wu
- Nursing Department, Air Force Medical University, No. 169 Changle West Road, 710032, Shaanxi, Shaanxi, China
| | - Hongli Zhang
- Nursing Department, Air Force Medical University, No. 169 Changle West Road, 710032, Shaanxi, Shaanxi, China
- School of Nursing, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Yawei Lin
- Department of Anesthesiology, 956Th Hospital of the Chinese People's Liberation Army, Nyingchi, China
| | - Weiyun Yuan
- Xijing Hospital of Air Force Medical University, Shaanxi, China
| | - Jing He
- Laboratory Department, Yan'an University Affiliated Hospital, Yan'an, China
| | - Lu Li
- Tangdu Hospital of Air Force Medical University, Shaanxi, China
| | - Donglei Jiang
- Department of Foreign Languages, School of Basic Medicine, Air Force Medical University, No. 169 Changle West Road, 710032, Shaanxi, Shaanxi, China.
| | - Zhaohua Ji
- Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Shaanxi, China.
| | - Hongjuan Lang
- Nursing Department, Air Force Medical University, No. 169 Changle West Road, 710032, Shaanxi, Shaanxi, China.
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Brommeyer M, Liang Z, Whittaker M, Mackay M. Developing Health Management Competency for Digital Health Transformation: Protocol for a Qualitative Study. JMIR Res Protoc 2023; 12:e51884. [PMID: 37921855 PMCID: PMC10656658 DOI: 10.2196/51884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/09/2023] [Accepted: 10/13/2023] [Indexed: 11/04/2023] Open
Abstract
BACKGROUND Globally, the health care system is experiencing a period of rapid and radical change. In response, innovative service models have been adopted for the delivery of high-quality care that require a health workforce with skills to support transformation and new ways of working. OBJECTIVE The aim of this research protocol is to describe research that will contribute to developing the capability of health service managers in the digital health era and enabling digital transformation within the Australian health care environment. It also explains the process of preparing and finalizing the research design and methodologies by seeking answers to the following three research questions: (1) To what extent can the existing health service management and digital health competency frameworks guide the development of competence for health service managers in understanding and managing in the digital health space? (2) What are the competencies that are necessary for health service managers to acquire in order to effectively work with and manage in the digital health context? (3) What are the key factors that enable and inhibit health service managers to develop and demonstrate digital health competence in the workplace? METHODS The study has adopted a qualitative approach, guided by the empirically validated management competency identification process, using four steps: (1) health management and digital health competency mapping, (2) scoping review of literature and policy analysis, (3) focus group discussions with health service managers, and (4) semistructured interviews with digital health leaders. The first 2 steps were to confirm the need for updating the current health service management curriculum to address changing competency requirements of health service managers in the digital health context. RESULTS Two initial steps have been completed confirming the significance of the study and study design. Step 1, competency mapping, found that nearly half of the digital competencies were only partially or not addressed at all by the health management competency framework. The scoping review articulated the competencies health service managers need to effectively demonstrate digital health competence in the workplace. The findings effectively support the importance of the current research and also the appropriateness of the proposed steps 3 and 4 in answering the research questions and achieving the research aim. CONCLUSIONS This study will provide insights into the health service management workforce performance and development needs for digital health and inform credentialing and professional development requirements. This will guide health service managers in leading and managing the adoption and implementation of digital health as a contemporary tool for health care delivery. The study will develop an in-depth understanding of Australian health service managers' experiences and views. This research process could be applied in other contexts, noting that the results need contextualization to individual country jurisdictions and environments. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/51884.
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Affiliation(s)
- Mark Brommeyer
- College of Public Health, Medical and Veterinary Science, James Cook University, Townsville, Australia
| | - Zhanming Liang
- College of Public Health, Medical and Veterinary Science, James Cook University, Townsville, Australia
| | - Maxine Whittaker
- College of Public Health, Medical and Veterinary Science, James Cook University, Townsville, Australia
| | - Mark Mackay
- College of Public Health, Medical and Veterinary Science, James Cook University, Townsville, Australia
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5
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Lingham V, Chandwarkar A, Miller M, Baker C, Genes N, Hellems M, Khanna R, Mize D, Silverman H. A Systematic Approach to the Design and Implementation of Clinical Informatics Fellowship Programs. Appl Clin Inform 2023; 14:951-960. [PMID: 38057262 PMCID: PMC10700146 DOI: 10.1055/s-0043-1776404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 09/20/2023] [Indexed: 12/08/2023] Open
Abstract
Clinical Informatics (CI), a medical subspecialty since 2011, has grown from the initial four fellowship programs accredited by the Accreditation Council for Graduate Medical Education (ACGME) in 2014 to more than 50 and counting in the present day. In parallel, the literature guiding Clinical Informatics Fellowship training and the curriculum evolved from the original core content published in 2009 to the more recent CI Subspecialty Delineation of Practice and the updated ACGME Milestones 2.0 for CI. In this paper, we outline this evolution and its impact on CIF Curricula. We then propose a framework, specific processes, and tools to standardize the design and optimize the implementation of CIF programs.
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Affiliation(s)
- Veena Lingham
- Department of Biomedical Informatics, Stony Brook Medicine, Stony Brook, New York, United States
| | - Aarti Chandwarkar
- Divisions of Clinical Informatics and Primary Care Pediatrics, Nationwide Children's Hospital, Columbus, Ohio, United States
| | - Michael Miller
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States
| | - Carrie Baker
- Department of Family Medicine, Kettering Health, Indu and Raj Soin Medical Center, Dayton, Ohio, United States
| | - Nicholas Genes
- Ronald O Perelman Department of Emergency Medicine, NYU Grossman School of Medicine, New York, New York, United States
| | - Martha Hellems
- Department of Pediatrics, University of Virginia School of Medicine, Charlottesville, Virginia, United States
| | - Raman Khanna
- Division of Hospital Medicine, UCSF, San Francisco, California, United States
| | - Dara Mize
- Department of Biomedical Informatics and Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States
| | - Howard Silverman
- Department of Biomedical Informatics, The University of Arizona College of Medicine Phoenix, Phoenix, Arizona, United States
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Asthana S, Prime S. The role of digital transformation in addressing health inequalities in coastal communities: barriers and enablers. FRONTIERS IN HEALTH SERVICES 2023; 3:1225757. [PMID: 37711604 PMCID: PMC10498291 DOI: 10.3389/frhs.2023.1225757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 08/14/2023] [Indexed: 09/16/2023]
Abstract
Healthcare systems worldwide are striving for the "quadruple aim" of better population health and well-being, improved experience of care, healthcare team well-being (including that of carers) and lower system costs. By shifting the balance of care from reactive to preventive by facilitating the integration of data between patients and clinicians to support prevention, early diagnosis and care at home, many technological solutions exist to support this ambition. Yet few have been mainstreamed in the NHS. This is particularly the case in English coastal areas which, despite having a substantially higher burden of physical and mental health conditions and poorer health outcomes, also experience inequalities with respect to digital maturity. In this paper, we suggest ways in which digital health technologies (DHTs) can support a greater shift towards prevention; discuss barriers to digital transformation in coastal communities; and highlight ways in which central, regional and local bodes can enable transformation. Given a real risk that variations in digital maturity may be exacerbating coastal health inequalities, we call on health and care policy leaders and service managers to understands the potential benefits of a digital future and the risks of failing to address the digital divide.
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Affiliation(s)
- Sheena Asthana
- Centre for Health Technology, University of Plymouth, Plymouth, United Kingdom
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Scott IA, Shaw T, Slade C, Wan TT, Coorey C, Johnson SLJ, Sullivan CM. Digital health competencies for the next generation of physicians. Intern Med J 2023; 53:1042-1049. [PMID: 37323107 DOI: 10.1111/imj.16122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 04/24/2023] [Indexed: 06/17/2023]
Abstract
As health care continues to change and evolve in a digital society, there is an escalating need for physicians who are skilled and enabled to deliver care using digital health technologies, while remaining able to successfully broker the triadic relationship among patients, computers and themselves. The focus needs to remain firmly on how technology can be leveraged and used to support good medical practice and quality health care, particularly around resolution of longstanding challenges in health care delivery, including equitable access in rural and remote areas, closing the gap on health outcomes and experiences for First Nations peoples and better support in aged care and those living with chronic disease and disability. We propose a set of requisite digital health competencies and recommend that the acquisition and evaluation of these competencies become embedded in physician training curricula and continuing professional development programmes.
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Affiliation(s)
- Ian A Scott
- Department of Internal Medicine and Clinical Epidemiology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
- Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Tim Shaw
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Christine Slade
- Institute for Teaching and Learning Innovation (ITaLI), University of Queensland, Brisbane, Queensland, Australia
| | - Tai T Wan
- Department of Rehabilitation Medicine, Fairfield Hospital, Sydney, New South Wales, Australia
| | - Craig Coorey
- Department of Cardiology, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Sandra L J Johnson
- Department of Child and Adolescent Health, Children's Hospital, Westmead, Sydney, New South Wales, Australia
| | - Clair M Sullivan
- Queensland Digital Health Centre, University of Queensland, Brisbane, Queensland, Australia
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8
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Davies A, Hassey A, Williams J, Moulton G. Creation of a core competency framework for clinical informatics: From genesis to maintaining relevance. Int J Med Inform 2022; 168:104905. [DOI: 10.1016/j.ijmedinf.2022.104905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 10/04/2022] [Accepted: 10/23/2022] [Indexed: 11/07/2022]
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Wang F, Ma L, Moulton G, Wang M, Zhang L. Clinician Data Scientists-Preparing for the Future of Medicine in the Digital World. HEALTH DATA SCIENCE 2022; 2022:9832564. [PMID: 38487487 PMCID: PMC10880145 DOI: 10.34133/2022/9832564] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 09/12/2022] [Indexed: 03/17/2024]
Affiliation(s)
- Fulin Wang
- National Institute of Health Data Science at Peking University, Beijing, China
- Institute of Medical Technology, Peking University Health Science Center, Beijing, China
| | - Lin Ma
- Peking University Health Science Center, Beijing, China
| | - Georgina Moulton
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Mai Wang
- National Institute of Health Data Science at Peking University, Beijing, China
- Advanced Institute of Information Technology, Peking University, China
| | - Luxia Zhang
- National Institute of Health Data Science at Peking University, Beijing, China
- Advanced Institute of Information Technology, Peking University, China
- Institute of Nephrology, Peking University First Hospital, China
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10
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What unique knowledge and experiences do healthcare professionals have working in clinical informatics? INFORMATICS IN MEDICINE UNLOCKED 2022. [DOI: 10.1016/j.imu.2022.101014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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11
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Data science in undergraduate medicine: Course overview and student perspectives. Int J Med Inform 2021; 159:104668. [PMID: 35033982 DOI: 10.1016/j.ijmedinf.2021.104668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 12/14/2021] [Accepted: 12/15/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND Despite the growing interest in health data science education, it is not embedded in undergraduate medical curricula and little is known about best teaching practices. This paper presents a highly innovative course in a UK university that introduces undergraduate medical students to data science. It also discusses a study on student perspectives on the learning and teaching of health data science. METHODS The pedagogical design elements of the Data Science in Medicine course are discussed, along with its syllabus, assessment methodology and flipped classroom delivery. The course has been offered to approximately 630 students over three years. Student perspectives were investigated through three focus groups with the participation of 19 students across different study years in medicine. An experiment was conducted regarding instructor-led vs. video-based modalities of online programming labs, with the participation of 8 students. RESULTS The course has led to improved data competency among medical students and to a positive change in their opinions about data science. Motivating the course and showing relevance to clinical practice was one of the biggest challenges. Statistics was perceived by focus group participants as an essential data skill. Including data science in the medical curriculum was perceived as important by Year 1 students, while opinions varied between Year 4/5 participants. Video-based online labs were preferred over instructor-led online labs, and they were found to be more useful and enjoyable, without leading to any significant difference in academic performance. CONCLUSIONS Teaching data science to undergraduate medicine students is highly desirable and feasible. We recommend including statistics in the curriculum and practical skill development through simple and clinically-relevant data science tasks, supported through video-based online labs. Further reporting on similar courses is needed, as well as larger-scale studies on student perspectives.
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Davies A, Mueller J, Hassey A, Moulton G. Development of a core competency framework for clinical informatics. BMJ Health Care Inform 2021; 28:e100356. [PMID: 34266851 PMCID: PMC8286765 DOI: 10.1136/bmjhci-2021-100356] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 06/07/2021] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVES Until this point there was no national core competency framework for clinical informatics in the UK. We report on the final two iterations of work carried out in the formation of a national core competency framework. This follows an initial systematic literature review of existing skills and competencies and a job listing analysis.MethodsAn iterative approach was applied to framework development. Using a mixed-methods design we carried out semi-structured interviews with participants involved in informatics (n=15). The framework was updated based on the interview findings and was subsequently distributed as part of a bespoke online digital survey for wider participation (n=87). The final version of the framework is based on the findings of the survey. RESULTS Over 102 people reviewed the framework as part of the interview or survey process. This led to a final core competency framework containing 6 primary domains with 36 subdomains containing 111 individual competencies. CONCLUSIONS An iterative mixed-methods approach for competency development involving the target community was appropriate for development of the competency framework. There is some contention around the depth of technical competencies required. Care is also needed to avoid professional burnout, as clinicians and healthcare practitioners already have clinical competencies to maintain. Therefore, how the framework is applied in practice and how practitioners meet the competencies requires careful consideration.
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Affiliation(s)
- Alan Davies
- School of Health Sciences, The University of Manchester, Manchester, Cheshire, UK
| | | | - Alan Hassey
- The Faculty of Clinical Informatics (FCI), London, UK
| | - Georgina Moulton
- School of Health Sciences, The University of Manchester, Manchester, Cheshire, UK
- Health Data Research UK, London, UK
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Schedlbauer J, Raptis G, Ludwig B. Medical informatics labor market analysis using web crawling, web scraping, and text mining. Int J Med Inform 2021; 150:104453. [PMID: 33862508 DOI: 10.1016/j.ijmedinf.2021.104453] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 03/18/2021] [Accepted: 03/29/2021] [Indexed: 11/27/2022]
Abstract
OBJECTIVES The European University Association (EUA) defines "employability" as a major goal of higher education. Therefore, competence-based orientation is an important aspect of education. The representation of a standardized job profile in the field of medical informatics, which is based on the most common labor market requirements, is fundamental for identifying and conveying the learning goals corresponding to these competences. METHODS To identify the most common requirements, we extracted 544 job advertisements from the German job portal, STEPSTONE. This process was conducted via a program we developed in R with the "rvest" library, utilizing web crawling, web extraction, and text mining. After removing duplicates and filtering for jobs that required a bachelor's degree, 147 job advertisements remained, from which we extracted qualification terms. We categorized the terms into six groups: professional expertise, soft skills, teamwork, processes, learning, and problem-solving abilities. RESULTS The results showed that only 45% of the terms are related to professional expertise, while 55% are related to soft skills. Studies of employee soft skills have shown similar results. The most prevalent terms were programming, experience, project, and server. Our second major finding is the importance of experience, further underlining how essential practical skills are. CONCLUSIONS Previous studies used surveys and narrative descriptions. This is the first study to use web crawling, web extraction, and text mining. Our research shows that soft skills and specialist knowledge carry equal weight. The insights gained from this study may be of assistance in developing curricula for medical informatics.
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Affiliation(s)
| | | | - Bernd Ludwig
- University of Regensburg, Universitätsstraße 31, 93053 Regensburg, Germany.
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McLane TM, Hoyt R, Hodge C, Weinfurter E, Reardon EE, Monsen KA. What Industry Wants: An Empirical Analysis of Health Informatics Job Postings. Appl Clin Inform 2021; 12:285-292. [PMID: 33792008 DOI: 10.1055/s-0041-1726423] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
OBJECTIVES To describe the education, experience, skills, and knowledge required for health informatics jobs in the United States. METHODS Health informatics job postings (n = 206) from Indeed.com on April 14, 2020 were analyzed in an empirical analysis, with the abstraction of attributes relating to requirements for average years and types of experience, minimum and desired education, licensure, certification, and informatics skills. RESULTS A large percentage (76.2%) of posts were for clinical informaticians, with 62.1% of posts requiring a minimum of a bachelor's education. Registered nurse (RN) licensure was required for 40.8% of posts, and only 7.3% required formal education in health informatics. The average experience overall was 1.6 years (standard deviation = 2.2), with bachelor's and master's education levels increasing mean experience to 3.5 and 5.8 years, respectively. Electronic health record support, training, and other clinical systems were the most sought-after skills. CONCLUSION This cross-sectional study revealed the importance of a clinical background as an entree into health informatics positions, with RN licensure and clinical experience as common requirements. The finding that informatics-specific graduate education was rarely required may indicate that there is a lack of alignment between academia and industry, with practical experience preferred over specific curricular components. Clarity and shared understanding of terms across academia and industry are needed for defining and advancing the preparation for and practice of health informatics.
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Affiliation(s)
- Tara M McLane
- Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, United States
| | - Robert Hoyt
- Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, Virginia, United States
| | - Chad Hodge
- Department of Health Sciences and Administration, University of West Florida, Pensacola, Florida, United States
| | - Elizabeth Weinfurter
- Health Sciences Library, University of Minnesota, Minneapolis, Minnesota, United States
| | - Erin E Reardon
- Health Sciences Library, University of Minnesota, Minneapolis, Minnesota, United States
| | - Karen A Monsen
- Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, United States.,School of Nursing, University of Minnesota, Minneapolis, Minnesota, United States
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15
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Affiliation(s)
- Videha Sharma
- Centre for Health Informatics, University of Manchester Faculty of Biology, Medicine and Health, Manchester, UK
- Department of Renal and Pancreatic Transplantation, Manchester Academic Health Science Centre, Manchester, UK
| | - Georgina Moulton
- Centre for Health Informatics, University of Manchester Faculty of Biology, Medicine and Health, Manchester, UK
| | - John Ainsworth
- Centre for Health Informatics, University of Manchester Faculty of Biology, Medicine and Health, Manchester, UK
| | - Titus Augustine
- Department of Renal and Pancreatic Transplantation, Manchester Academic Health Science Centre, Manchester, UK
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16
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Van Dort BA, Zheng WY, Sundar V, Baysari MT. Optimizing clinical decision support alerts in electronic medical records: a systematic review of reported strategies adopted by hospitals. J Am Med Inform Assoc 2021; 28:177-183. [PMID: 33186438 PMCID: PMC7810441 DOI: 10.1093/jamia/ocaa279] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 10/27/2020] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE To identify and summarize the current internal governance processes adopted by hospitals, as reported in the literature, for selecting, optimizing, and evaluating clinical decision support (CDS) alerts in order to identify effective approaches. MATERIALS AND METHODS Databases (Medline, Embase, CINAHL, Scopus, Web of Science, IEEE Xplore Digital Library, CADTH, and WorldCat) were searched to identify relevant papers published from January 2010 to April 2020. All paper types published in English that reported governance processes for selecting and/or optimizing CDS alerts in hospitals were included. RESULTS Eight papers were included in the review. Seven papers focused specifically on medication-related CDS alerts. All papers described the use of a multidisciplinary committee to optimize alerts. Other strategies included the use of clinician feedback, alert data, literature and drug references, and a visual dashboard. Six of the 8 papers reported evaluations of their CDS alert modifications following the adoption of optimization strategies, and of these, 5 reported a reduction in alert rate. CONCLUSIONS A multidisciplinary committee, often in combination with other approaches, was the most frequent strategy reported by hospitals to optimize their CDS alerts. Due to the limited number of published processes, variation in system changes, and evaluation results, we were unable to compare the effectiveness of different strategies, although employing multiple strategies appears to be an effective approach for reducing CDS alert numbers. We recommend hospitals report on descriptions and evaluations of governance processes to enable identification of effective strategies for optimization of CDS alerts in hospitals.
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Affiliation(s)
- Bethany A Van Dort
- Discipline of Biomedical Informatics and Digital Health, School of Medical Sciences, Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Wu Yi Zheng
- Discipline of Biomedical Informatics and Digital Health, School of Medical Sciences, Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Vivek Sundar
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Melissa T Baysari
- Discipline of Biomedical Informatics and Digital Health, School of Medical Sciences, Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
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