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DOI: 10.4338/ACI-2017-08-RA-0136
The Effectiveness of Hands-on Health Informatics Skills Exercises in the Multidisciplinary Smart Home Healthcare and Health Informatics Training Laboratories
Publication History
13 August 2017
08 November 2017
Publication Date:
22 December 2017 (online)
Abstract
Objective This article aimed to evaluate the effectiveness of newly established innovative smart home healthcare and health informatics laboratories, and a novel laboratory course that focuses on experiential health informatics training, and determine students' self-confidence to operate wireless home health monitoring devices before and after the hands-on laboratory course.
Materials and Methods Two web-based pretraining and posttraining questionnaires were sent to 64 students who received hands-on training with wireless remote patient monitoring devices in smart home healthcare and health informatics laboratories.
Results All 64 students completed the pretraining survey (100% response rate), and 49 students completed the posttraining survey (76% response rate). The quantitative data analysis showed that 95% of students had an interest in taking more hands-on laboratory courses. Sixty-seven percent of students had no prior experience with medical image, physiological data acquisition, storage, and transmission protocols. After the hands-on training session, 75.51% of students expressed improved confidence about training patients to measure blood pressure monitor using wireless devices. Ninety percent of students preferred to use a similar experiential approach in their future learning experience. Additionally, the qualitative data analysis demonstrated that students were expecting to have more courses with hands-on exercises and integration of technology-enabled delivery and patient monitoring concepts into the curriculum.
Conclusion This study demonstrated that the multidisciplinary smart home healthcare and health informatics training laboratories and the hands-on exercises improved students' technology adoption rates and their self-confidence in using wireless patient monitoring devices.
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References
- 1 Greenes RA, Shortliffe EH. Medical informatics. An emerging academic discipline and institutional priority. JAMA 1990; 263 (08) 1114-1120
- 2 Cano I, Lluch-Ariet M, Gomez-Cabrero D. , et al; Synergy-COPD Consortium. Biomedical research in a Digital Health Framework. J Transl Med 2014; 12 (Suppl. 02) S10
- 3 World Population Prospects. The 2017 Revision, Key Findings and Advance Tables. United Nations, Department of Economic and Social Affairs, Population Division; 2017 . Available at: https://esa.un.org/unpd/wpp/Publications/Files/WPP2017_KeyFindings.pdf
- 4 Kim KI, Gollamudi SS, Steinhubl S. Digital technology to enable aging in place. Exp Gerontol 2017; 88: 25-31
- 5 Chan M, Estève D, Escriba C, Campo E. A review of smart homes- present state and future challenges. Comput Methods Programs Biomed 2008; 91 (01) 55-81
- 6 Forkan ARM, Khalil I, Tari Z, Foufou S, Bouras A. A context-aware approach for long-term behavioral change detection and abnormality prediction in ambient assisted living. Pattern Recognit 2015; 48 (03) 628-641
- 7 Fischinger D, Einramhof P, Papoutsakis K. , et al. Hobbit, a care robot supporting independent living at home: first prototype and lessons learned. Robot Auton Syst 2016; 75: 60-78
- 8 Minerva R, Biru A, Rotondi D. Towards a definition of the Internet of Things (IoT). IEEE Internet Initiative; 2015. Available at: http://iot.ieee.org/images/files/pdf/IEEE_IoT_Towards_Definition_Internet_of_Things_Revision1_27MAY15.pdf . Accessed July 15, 2017
- 9 Vegesna A, Tran M, Angelaccio M, Arcona S. Remote patient monitoring via non-invasive digital technologies: a systematic review. Telemed J E Health 2017; 23 (01) 3-17
- 10 Friedman CP, Altman RB, Kohane IS. , et al; American College of Medical Informatics. Training the next generation of informaticians: the impact of “BISTI” and bioinformatics–a report from the American College of Medical Informatics. J Am Med Inform Assoc 2004; 11 (03) 167-172
- 11 Hersh W, Junium K, Mailhot M, Tidmarsh P. Implementation and evaluation of a distance learning introductory course in medical informatics. Stud Health Technol Inform 2001; 84 (Pt 2): 1023-1027
- 12 Hasman A, Mantas J. IMIA accreditation of health informatics programs. Healthc Inform Res 2013; 19 (03) 154-161
- 13 The TIGER Virtual Demonstration Collaborative Team. A TIGER Collaborative Report. 2009. Available at: http://s3.amazonaws.com/rdcms-himss/files/production/public/FileDownloads/tiger-report-virtual-learning-center.pdf . Accessed July 15, 2017
- 14 Milano CE, Hardman JA, Plesiu A, Rdesinski RE, Biagioli FE. Simulated electronic health record (Sim-EHR) curriculum: teaching EHR skills and use of the EHR for disease management and prevention. Acad Med 2014; 89 (03) 399-403
- 15 The Office of the National Coordinator for Health Information Technology. Health IT Workforce Development Program. Available at: https://www.healthit.gov/sites/default/files/pdf/fact-sheets/get-the-facts-about-health-it-workforce-development-program.pdf . Accessed July 15, 2017
- 16 Mohan V, Abbott P, Acteson S. , et al. Design and evaluation of the ONC health information technology curriculum. J Am Med Inform Assoc 2014; 21 (03) 509-516
- 17 The Office of the National Coordinator for Health Information Technology, U.S. Department of Health and Human Services. Implementation of ONC's Workforce Development Program. 2013. Available at: https://www.healthit.gov/sites/default/files/communitycollegeevaluationsitevisitreport.pdf . Accessed July 15, 2017
- 18 The Office of the National Coordinator for Health Information Technology, U.S. Department of Health and Human Services. Workforce Training Program Awardees. Available at: https://www.healthit.gov/providers-professionals/workforce-development-programs . Accessed July 15, 2017
- 19 NORC at the University of Chicago. Final Report: Executive Summary. Evaluation of the Information Technology Professionals in Health Care (“Workforce”) Program - Summative Report. 2014. Available at: https://www.healthit.gov/sites/default/files/workforceevaluationsummativerpt_execsummary.pdf . Accessed July 15, 2017
- 20 Sikka N, Choudhri T, Jarrin R. The George Washington University Emergency Medicine Telemedicine and Digital Health Fellowship. Virtual Mentor 2014; 16 (12) 976-980
- 21 Triola MM, Friedman E, Cimino C, Geyer EM, Wiederhorn J, Mainiero C. Health information technology and the medical school curriculum. Am J Manag Care 2010; 16 (12, Suppl HIT): SP54-SP56
- 22 Gardner RM, Overhage JM, Steen EB. , et al; AMIA Board of Directors. Core content for the subspecialty of clinical informatics. J Am Med Inform Assoc 2009; 16 (02) 153-157
- 23 Safran C, Shabot MM, Munger BS. , et al; AMIA Board of Directors. Program requirements for fellowship education in the subspecialty of clinical informatics. J Am Med Inform Assoc 2009; 16 (02) 158-166
- 24 Moore RA, Berner ES. Comparing health/medical informatics graduate program curricula against two sets of professional criteria. J Healthc Inf Manag 2004; 18 (03) 44-50
- 25 Brinton TJ, Kurihara CQ, Camarillo DB. , et al. Outcomes from a postgraduate biomedical technology innovation training program: the first 12 years of Stanford Biodesign. Ann Biomed Eng 2013; 41 (09) 1803-1810
- 26 Zuckerman B, Margolis PA, Mate KS. Health services innovation: the time is now. JAMA 2013; 309 (11) 1113-1114
- 27 Loftus PD, Elder CT, D'Ambrosio T, Langell JT. Addressing challenges of training a new generation of clinician-innovators through an interdisciplinary medical technology design program: bench-to-bedside. Clin Transl Med 2015;4(1). Available at: http://www.clintransmed.com/content/4/1/15 . Accessed July 15, 2017
- 28 Loftus PD, Elder CT, Sorensen MW. , et al. Creating a Benchmark Medical Technology Entrepreneurship Competition. The University of Utah Bench-to-Bedside Medical Device Design Competition. NCIIA Open Conference Report; 2014. Available at: http://venturewell.org/open2014/wp-content/uploads/2013/10/LANGELL.pdf . Accessed July 15, 2017
- 29 The University of Utah. The University of Utah Health Sciences Center for Medical Innovation: Bench-to-Bedside Competition Report 2012. 2012. Available at: https://library.med.utah.edu/e-channel/wp-content/uploads/2016/06/EndofYearReport2012.pdf . Accessed July 15, 2017
- 30 Gelijns AC, Thier SO. Medical innovation and institutional interdependence: rethinking university-industry connections. JAMA 2002; 287 (01) 72-77
- 31 Ritko AL, Odlum M. Gap analysis of biomedical informatics graduate education competencies. AMIA Annu Symp Proc 2013; 2013: 1214-1223
- 32 Mantas J, Ammenwerth E, Demiris G. , et al. Recommendations of the International Medical Informatics Association (IMIA) on education in biomedical and health informatics-first revision. Acta Inform Med 2010; 18 (01) 4
- 33 American Telemedicine Association. Practice Guidelines & Resources. Available at: http://hub.americantelemed.org/resources/telemedicine-practice-guidelines
- 34 Himmelfarb CRD, Commodore-Mensah Y, Hill MN. Expanding the role of nurses to improve hypertension care and control globally. Ann Glob Health 2016; 82 (02) 243-253
- 35 Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006; 3 (02) 77-101
- 36 United Nations. World Population Ageing. 2015. Available at: http://www.un.org/en/development/desa/population/publications/pdf/ageing/WPA2015_Report.pdf
- 37 Demiris G, Rantz M, Aud M. , et al. Older adults' attitudes towards and perceptions of “smart home” technologies: a pilot study. Med Inform Internet Med 2004; 29 (02) 87-94
- 38 Ammenwerth E, Knaup P, Winter A. , et al. On teaching international courses on health information systems. Lessons learned during 16 years of Frank - van Swieten Lectures on strategic information management in health information systems. Methods Inf Med 2017; 56 (Open): e39-e48
- 39 Sweeney G. The challenge for basic science education in problem-based medical curricula. Clin Invest Med 1999; 22 (01) 15-22
- 40 Demiris G, Zierler B. Integrating problem-based learning in a nursing informatics curriculum. Nurse Educ Today 2010; 30 (02) 175-179
- 41 Zhao B, Potter DD. Comparison of lecture-based learning vs discussion-based learning in undergraduate medical students. J Surg Educ 2016; 73 (02) 250-257
- 42 Choi E, Lindquist R, Song Y. Effects of problem-based learning vs. traditional lecture on Korean nursing students' critical thinking, problem-solving, and self-directed learning. Nurse Educ Today 2014; 34 (01) 52-56
- 43 Miles MB, Huberman AM, Saldaña J. Qualitative data analysis: a methods sourcebook. 3rd ed. Thousand Oaks, CA: Sage Publications, Inc; 2014: 381