Evaluating the advantages of electronic medical records in nursing
Review article
Keywords:
Electronic Medical Records, Nursing Care, Patient Safety, Healthcare Quality, Scoping Review, AustraliaAbstract
Background: Electronic Medical Records (EMRs) have increasingly transformed healthcare systems worldwide by centralizing patient information and improving accessibility. In Australia, where the healthcare system is publicly funded and largely based on a British model of care, EMRs present a unique opportunity to enhance nursing practices and patient outcomes. Despite their potential, evaluations of EMRs have predominantly focused on economic aspects rather than the quality and safety of nursing care. Aim: This scoping review aims to assess the impact of EMR implementation on nursing work quality and safety in Australian hospitals. It seeks to identify appropriate metrics to evaluate the benefits of EMRs on nursing care and patient outcomes, guiding future assessments and improvements in clinical practice. Methods: The review utilized Arksey and O’Malley’s five-step scoping review framework to explore relevant literature. A comprehensive search was conducted across five healthcare databases and supplemented by grey literature. The review process involved screening papers, data extraction, and analysis based on Donabedian’s quality of care model and frameworks related to nursing care. The studies included were published between 2002 and 2017, encompassing various international perspectives with a focus on nursing.
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References
Advisory Board International Global Centre for Nursing Executives. (2015). Nursing’s role in achieving care continuity: Building a system that never discharges a patient Retrieved from. https://www.advisory.com/research/ nursing-executive-center/studies/2015/achieving-care-continuity
Akhu-Zaheya, L., Al-Maaitah, R., & Bany Hani, S. (2017). Quality of nursing documentation: Paper-based health records versus electronic-based health records. Journal of Clinical Nursing, 27(3–4), e578–e589. http://dx.doi.org/10. 1111/jocn.14097
Ali, S., & Sieloff, C. L. (2017). Nurse’s use of power to standardise nursing terminology in electronic health records. Journal of Nursing Management, 25(5), 346–353. http://dx.doi.org/10.1111/jonm.12471
Allen, G. B., Miller, V., Nicholas, C., Hess, S., Cordes, M. K., Fortune, J. B., . . . & Ricci, M. (2014). A multitiered strategy of simulation training, kit consolidation, and electronic documentation is associated with a reduction in central line-associated bloodstream infections. American Journal of Infection Control, 42(6), 643–648. http://dx.doi.org/10.1016/j.ajic.2014.02.014
Amato, M. G., Salazar, A., Hickman, T. T., Quist, A. J., Volk, L. A., Wright, A., . . . & Schiff, G. D. (2017). Computerized prescriber order entry-related patient safety reports: Analysis of 2522 medication errors. Journal of the American Medical Informatics Association, 24(2), 316–322. http://dx.doi.org/10.1093/jamia/ ocw125
Amland, R. C., & Hahn-Cover, K. E. (2016). Clinical decision support for early recognition of sepsis. American Journal of Medical Quality, 31(2), 103–110. http://dx.doi.org/10.1177/1062860614557636
Arksey, H., & O’Malley, L. (2005). Scoping studies: Towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19–32. http://dx.doi.org/10.1080/1364557032000119616
Asaro, P. V., & Boxerman, S. B. (2008). Effects of computerized provider order entry and nursing documentation on workflow. Academic Emergency Medicine, 15(10), 908–915. http://dx.doi.org/10.1111/j.1553-2712.2008.00235.x
Australian Commission on Safety, & Quality in Health Care. (2010). Australian safety and quality framework for health care. Sydney, NSW: ACSQHC.
Australian Commission on Safety and Quality in Health Care. (2017a). National safety and quality health service standards. Sydney, NSW: ACSQHC.
Australian Commission on Safety and Quality in Health Care. (2017b). Vital signs 2017: The state of safety and quality in Australian health care. Sydney, NSW: ACSQHC.
Australian Council on Health Care Standards. (2010). The ACHS equip 5 guide. Sydney, NSW: ACHS.
Australian Institute of Health and Welfare. (2018). Australia’s health, 2018. Canberra, ACT: AIHW.
Bardach, S. H., Real, K., & Bardach, D. R. (2017). Perspectives of healthcare practitioners: An exploration of interprofessional communication using electronic medical records. Journal of Interprofessional Care, 31(3), 300–306. http://dx.doi.org/10.1080/13561820.2016.1269312
Barker, L. A., Gout, B. S., & Crowe, T. C. (2011). Prevalence, identification and impact on patients and the healthcare system. International Journal of Environmental Research and Public Health, 8(2), 514–527. http://dx.doi.org/10.3390/ ijerph8020514
Bates, D. W., & Gawande, A. A. (2003). Improving safety with information technology. The New England Journal of Medicine, 348(25), 2526–2534.
Baysari, M. T., Jackson, N., Ramasamy, S., Santiago, P., Xiong, J., Westbrook, J., . . . & Day, R. O. (2016). Exploring sub-optimal use of an electronic risk assessment tool for venous thromboembolism. Applied Ergonomics, 55, 63–69. http://dx. doi.org/10.1016/j.apergo.2016.01.003
Bingham, G., Fossum, M., Barratt, M., & Bucknall, T. (2015). Clinical review criteria and medical emergency teams: Evaluating a two-tier rapid response system. Critical Care and Resuscitation, 17(3), 167–173.
Black, A. D., Car, J., Pagliari, C., Anandan, C., Cresswell, K., Bokun, T., . . . & Sheikh, A. (2011). The impact of eHealth on the quality and safety of health care: A systematic overview. PLoS Medicine, 8(1), e1000387 http://dx.doi.org/10.1371/ journal.pmed.1000387
Blackman, I., Henderson, J., Willis, E., Hamilton, P., Toffoli, L., Verrall, C., . . . & Harvey, C. (2015). Factors influencing why nursing care is missed. Journal of Clinical Nursing, 24(1-2), 47–56. http://dx.doi.org/10.1111/jocn.12688
Bond, C. A., & Raehl, C. L. (2007). Clinical pharmacy services, pharmacy staffing, and hospital mortality rates. Pharmacotherapy, 27(4), 481–493. http://dx.doi.org/ 10.1592/phco.27.4.481
Bragadottir, H., Kalisch, B. J., & Tryggvadottir, G. B. (2017). Correlates and predictors of missed nursing care in hospitals. Journal of Clinical Nursing, 26(11-12), 1524–1534. http://dx.doi.org/10.1111/jocn.13449
Brandt, B. N., Gartner, A. B., Moncure, M., Cannon, C. M., Carlton, E., Cleek, C., . . . & Simpson, S. Q. (2015). Identifying severe sepsis via electronic surveillance. American Journal of Medical Quality, 30(6), 559–565. http://dx.doi.org/10.1177/ 1062860614541291
Brown, C. L., Mulcaster, H. L., Triffitt, K. L., Sittig, D. F., Ash, J. S., Reygate, K., . . . & Slight, S. P. (2017). A systematic review of the types and causes of prescribing errors generated from using computerized provider order entry systems in primary and secondary care. Journal of the American Medical Informatics Association, 24(2), 432–440. http://dx.doi.org/10.1093/jamia/ocw119
Brown, D. S., Donaldson, N., Bolton, L. B., & Aydin, C. E. (2010). Nursing-sensitive benchmarks for hospitals to gauge high-reliability performance. Journal for Healthcare Quality, 32(6), 9–17.
Burkett, E., Martin-Khan, M. G., & Gray, L. C. (2017). Quality indicators in the care of older persons in the emergency department: A systematic review of the literature. Australasian Journal on Ageing, 36(4), 286–298. http://dx.doi.org/10. 1111/ajag.12451
Burns, A., Gallagley, A., Byrne, J., & Delirium. (2004). Journal of Neurology, Neurosurgery & Psychiatry, 75(3), 362–367. http://dx.doi.org/10.1136/jnnp. 2003.023366
Burton-Jones, A., & Volkoff, O. (2017). How can we develop contextualized theories of effective use? A demonstration in the context of community-care electronic health records. Information Systems Research, 28(3), 468–489. http://dx.doi.org/ 10.1287/isre.2017.0702
Callen, J., Hordern, A., Gibson, K., Li, L., Hains, I. M., & Westbrook, J. I. (2013). Can technology change the work of nurses? Evaluation of a drug monitoring system for ambulatory chronic disease patients. International Journal of Medical Informatics, 82(3), 159–167. http://dx.doi.org/10.1016/j.ijmedinf.2012.11.009
Campanella, P., Lovato, E., Marone, C., Fallacara, L., Mancuso, A., Ricciardi, W., . . . & Specchia, M. L. (2016). The impact of electronic health records on healthcare quality: A systematic review and meta-analysis. European Journal of Public Health, 26(1), 60–64. http://dx.doi.org/10.1093/eurpub/ckv122
Chaboyer, W., Wallis, M., Duffield, C., Courtney, M., Seaton, P., Holzhauser, K., . . . & Bost, N. (2008). A comparison of activities undertaken by enrolled and registered nurses on medical wards in Australia: An observational study. International Journal of Nursing Studies, 45(9), 1274–1284. http://dx.doi.org/10. 1016/j.ijnurstu.2007.10.007
Chand, S., & Sarin, J. (2014). Electronic nursing documentation. International Journal of Information Dissemination and Technology, 4(4), 328–331.
Chaudhry, B., Wang, J., Wu, S., Maglione, M., Mojica, W., Roth, E., . . . & Shekelle, P. G. (2006). Systematic review: Impact of health information technology on quality, efficiency, and costs of medical care. Annals of Internal Medicine, 144, 742–752.
Cho, I., & Noh, M. (2010). Braden scale: Evaluation of clinical usefulness in an intensive care unit. Journal of Advanced Nursing, 66(2), 293–302. http://dx.doi. org/10.1111/j.1365-2648.2009.05153.x
Cho, I., Park, I., Kim, E., Lee, E., & Bates, D. W. (2013). Using ehr data to predict hospital-acquired pressure ulcers: A prospective study of a bayesian network model. International Journal of Medical Informatics, 82(11), 1059–1067. http:// dx.doi.org/10.1016/j.ijmedinf.2013.06.012
Cox, J. (2011). Predictors of pressure ulcers in adult critical care patients. American Journal of Critical Care, 20(5), 364–375. http://dx.doi.org/10.4037/ajcc2011934
Despins, L. A. (2017). Automated detection of sepsis using electronic medical record data: A systematic review. Journal for Healthcare Quality, 39(6), 322–333. http://dx.doi.org/10.1097/JHQ.0000000000000066
Donabedian, A. (1988). The quality of care: How can it be assessed? Journal of the American Medical Association, 260(12), 1743–1748.
Dowding, D. W., Turley, M., & Garrido, T. (2012). The impact of an electronic health record on nurse sensitive patient outcomes: An interrupted time series analysis. Journal of the American Medical Informatics Association, 19(4), 615–620. http://dx.doi.org/10.1136/amiajnl-2011-000504
Duckett, S., Jorm, C., Danks, L., & Moran, G. (2018). All complications should count: Using our data to make hospitals safer. Grattan Institute.
Duffield, C., Gardner, G., & Catling-Paull, C. (2008). Nursing work and the use of nursing time. Journal of Clinical Nursing, 17(24), 3269–3274. http://dx.doi.org/ 10.1111/j.1365-2702.2008.02637.x
Dunton, N., Gajewski, B., Klaus, S., & Pierson, B. (2007). The relationship of nursing workforce characteristics to patient outcomes. Online Journal of Issues in Nursing, 12(3).
Dunton, N., Gajewski, B., Taunton, R. L., & Moore, J. (2004). Nurse staffing and patient falls on acute care hospital units. Nursing Outlook, 52(1), 53–59. http:// dx.doi.org/10.1016/j.outlook.2003.11.006
Dykes, P. C., & Collins, S. A. (2013). Building linkages between nursing care and improved patient outcomes: The role of health information technology. Online Journal of Issues in Nursing, 18(3), 4. http://dx.doi.org/10.3912/OJIN. Vol18No03Man04
Eden, R., Burton-Jones, A., Scott, I., Staib, A., & Sullivan, C. (2017). The impacts of eHealth upon hospital practice: Synthesis of the current litrerature. Canberra, ACT: Deeble Institute.
Forni, A., Chu, H. T., & Fanikos, J. (2010). Technology utilization to prevent medication errors. Current Drug Safety, 5(1), 13–18.
Furukawa, M. F., Raghu, T. S., & Shao, B. B. (2010). Electronic medical records, nurse staffing, and nurse-sensitive patient outcomes: Evidence from California hospitals, 1998–2007. Health Services Research, 45(4), 941–962. http://dx.doi. org/10.1111/j.1475-6773.2010.01110.x
Garcia-Fernandez, F. P., Pancorbo-Hidalgo, P. L., & Agreda, J. J. (2014). Predictive capacity of risk assessment scales and clinical judgment for pressure ulcers: A meta-analysis. Journal of Wound Ostomy & Continence Nursing, 41(1), 24–34. http://dx.doi.org/10.1097/01.WON.0000438014.90734.a2
Global eHealth Executive Council. (2014). Reducing hospital lengths of stay with EMRs and other information technologies. London, United Kingdom: The Advisory Board Company.
Griffiths, P., Recio-Saucedo, A., Dall’Ora, C., Briggs, J., Maruotti, A., Meredith, P., . . . & Smith, G. B. (2017). The association between nurse staffing and omissions in nursing care: A systematic review. Journal of Advanced Nursing, http://dx.doi. org/10.1111/jan.13564
Gunningberg, L., Dahm, M. F., & Ehrenberg, A. (2008). Accuracy in the recording of pressure ulcers and prevention after implementing an electronic health record in hospital care. Quality & Safety in Health Care, 17(4), 281–285. http://dx.doi. org/10.1136/qshc.2007.023341
Gunningberg, L., & Ehrenberg, A. (2004). Accuracy and quality in the nursing documentation of pressure ulcers: A comparison of record content and patient examination. Journal of Wound Ostomy & Continence Nursing, 31(6), 328–335.
Gunningberg, L., Fogelberg-Dahm, M., & Ehrenberg, A. (2009). Improved quality and comprehensiveness in nursing documentation of pressure ulcers after implementing an electronic health record in hospital care. Journal of Clinical Nursing, 18(11), 1557–1564. http://dx.doi.org/10.1111/j.1365-2702.2008. 02647.x
Haines, T. P., Hill, A.-M., Hill, K. D., Brauer, S. G., Hoffmann, T., Etherton-Beer, C., & McPhail, S. M. (2013). Cost effectiveness of patient education for the prevention of falls in hospital: Economic evaluation from a randomized controlled trial. BMC Medicine, 11(135), 1–12. http://dx.doi.org/10.1186/1741-7015-11-135
Hakes, B., & Whittington, J. (2008). Assessing the impact of an electronic medical record on nurse documentation time. CIN Computers, Informatics, Nursing, 26(4), 234–241. http://dx.doi.org/10.1097/01.NCN.0000304801.00628.ab
Harmon, C. S., Fogle, M., & Roussel, L. (2015). Then and now: Nurses’ perceptions of the electronic health record. Online Journal of Nursing Informatics, 19(1).
Harrison, R., Walton, M., Manias, E., Smith-Merry, J., Kelly, P., Iedema, R., & Robinson, L. (2015). The missing evidence: A systematic review of patients’ experiences of adverse events in health care. International Journal for Quality in Health Care, 27(6), 424–442. http://dx.doi.org/10.1093/intqhc/mzv075
Hauck, K., & Zhao, X. (2011). How dangerous is a day in hospital? A model of adverse events and length of stay for medical inpatients. Medical Care, 49(12), 1068–1075. http://dx.doi.org/10.1097/MLR.0b013e31822efb09
Haynes, K., Linkin, D. R., Fishman, N. O., Bilker, W. B., Strom, B. L., Pifer, E. A., & Hennessy, S. (2011). Effectiveness of an information technology intervention to improve prophylactic antibacterial use in the postoperative period. Journal of the American Medical Informatics Association, 18(2), 164–168. http://dx.doi. org/10.1136/jamia.2009.002998
Herasevich, V., Pieper, M. S., Pulido, J., & Gajic, O. (2011). Enrollment into a time sensitive clinical study in the critical care setting: Results from computerized septic shock sniffer implementation. Journal of the American Medical Informatics Association, 18(5), 639–644. http://dx.doi.org/10.1136/amiajnl-2011-000228
Hollenbeak, C. S. (2011). The cost of catheter-related bloodstream infections: Implications for the value of prevention. Journal of Infusion Nursing, 34(5), 309–313. http://dx.doi.org/10.1097/NAN.0b013e3182285e43
Hooper, K., & Jacobs, P. (2009). Halting the sepsis cascade. The Cerner Quarterly, 5(1), 15–23.
Hoover, R. (2016). Benefits of using an electronic health record. Nursing, 46(7), 21–22. http://dx.doi.org/10.1097/01.NURSE.0000484036.85939.06
Hope, C., Estrada, N., Weir, C., Teng, C.-C., Damal, K., & Sauer, B. C. (2014). Documentation of delirium in the VA electronic health record. BMC Research Notes, 3(7), 208–217. http://dx.doi.org/10.1186/1756-0500-7-208
Hripcsak, G., Vawdrey, D. K., Fred, M. R., & Bostwick, S. B. (2011). Use of electronic clinical documentation: Time spent and team interactions. Journal of the American Medical Informatics Association, 18(2), 112–117. http://dx.doi.org/10. 1136/jamia.2010.008441
Inacio, M. C., Paxton, E. W., Chen, Y., Harris, J., Eck, E., Barnes, S., . . . & Ake, C. F. (2011). Leveraging electronic medical records for surveillance of surgical site infection in a total joint replacement population. Infection Control & Hospital Epidemiology, 32(4), 351–359. http://dx.doi.org/10.1086/658942
Jayawardena, S., Eisdorfer, J., Indulkar, S., Ajith Pal, S., Sooriabalan, D., & Cucco, R. (2007). Prescription errors and the impact of computerized prescription order entry system in a community-based hospital. American Journal of Therapeutics, 14(4), 336–340. http://dx.doi.org/10.1097/01.mjt.0000209681.22077.b9
Jheeta, S., & Franklin, B. D. (2017). The impact of a hospital electronic prescribing and medication administration system on medication administration safety: An observational study. BMC Health Services Research, 17(1), 547. http://dx.doi. org/10.1186/s12913-017-2462-2
Jin, Y., Piao, J., & Lee, S. M. (2015). Evaluating the validity of the Braden scale using longitudinal electronic medical records. Research in Nursing & Health, 38(2), 152–161. http://dx.doi.org/10.1002/nur.21642
Johnson, M., Jefferies, D., & Nicholls, D. (2012). Developing a minimum data set for electronic nursing handover. Journal of Clinical Nursing, 21(3-4), 331–343. http://dx.doi.org/10.1111/j.1365-2702.2011.03891.x
Jones, T. L., Hamilton, P., & Murry, N. (2015). Unfinished nursing care, missed care, and implicitly rationed care: State of the science review. International Journal of Nursing Studies, 52(6), 1121–1137. http://dx.doi.org/10.1016/j.ijnurstu.2015. 02.012
Kaewprag, P., Newton, C., Vermillion, B., Hyun, S., Huang, K., & Machiraju, R. (2017). Predictive models for pressure ulcers from intensive care unit electronic health records using bayesian networks. BMC Medical Informatics and Decision Making, 17(Supplement 2), 65. http://dx.doi.org/10.1186/s12911-017-0471-z
Kahn, S. R., Lim, W., Dunn, A. S., Cushman, M., Dentali, F., Akl, E. A., . . . & Murad, M. H. (2012). Prevention of VTE in nonsurgical patients: Antithrombotic therapy and prevention of thrombosis, 9th ed: American college of chest physicians evidence-based clinical practice guidelines. Chest, 141(Supplement 2), e195S–e226S. http://dx.doi.org/10.1378/chest.11-2296
Kalisch, B. J., Tschannen, D., & Lee, K. H. (2012). Missed nursing care, staffing, and patient falls. Journal of Nursing Care Quality, 27(1), 6–12. http://dx.doi.org/10. 1097/NCQ.0b013e318225aa23
Keenan, G., Yakel, E., Dunn Lopez, K., Tschannen, D., & Ford, Y. B. (2013). Challenges to nurses’ efforts of retrieving, documenting, and communicating patient care information. Journal of the American Medical Informatics Association, 20(2), 245–251. http://dx.doi.org/10.1136/amiajnl-2012-000894
Khan, A., Simpson, M., Singh, M., Hook, M., Geng, Y., & Malone, M. L. (2015). Innovative approach to measure delirium in hospitalized older adults using the electronic health record. Journal of the American Geriatrics Society, 63(3), 593–594.
Khurana, H. S., Groves, RH, Jr., Simons, M. P., Martin, M., Stoffer, B., Kou, S., . . . & Parthasarathy, S. (2016). Real-time automated sampling of electronic medical records predicts hospital mortality. The American Journal of Medicine, 129(7), 688–698. http://dx.doi.org/10.1016/j.amjmed.2016.02.037
Kim, M. O., Coiera, E., & Magrabi, F. (2017). Problems with health information technology and their effects on care delivery and patient outcomes: A systematic review. Journal of the American Medical Informatics Association, 24(2), 246–250. http://dx.doi.org/10.1093/jamia/ocw154
Kitson, A., Conroy, T., Kuluski, K., Locock, L., & Lyons, R. (2013). Reclaiming and redefining the fundamentals of care: Nursing’s response to meeting patients’ basic human needs. Adelaide, South Australia: School of Nursing, The University of Adelaide.
Kossman, S. P., & Scheidenhelm, S. L. (2008). Nurses’ perceptions of the impact of electronic health records on work and patient outcomes. CIN Computers Informatics Nursing, 26(2), 69–77.
Kurczewski, L., Sweet, M., McKnight, R., & Halbritter, K. (2015). Reduction in time to first action as a result of electronic alerts for early sepsis recognition. Critical Care Nursing Quarterly, 38(2), 182–187. http://dx.doi.org/10.1097/CNQ. 0000000000000060
Lake, E. T., Shang, J., Klaus, S., & Dunton, N. E. (2010). Patient falls: Association with hospital magnet status and nursing unit staffing. Research in Nursing & Health, 33(5), 413–425. http://dx.doi.org/10.1002/nur.20399
Leonard, M., Graham, S., & Bonacum, D. (2004). The human factor: The critical importance of effective teamwork and communication in providing safe care. Quality & Safety in Health Care, 13(S1), i85–i90. http://dx.doi.org/10.1136/qshc. 2004.010033
Levac, D., Colquhoun, H., & O’Brien, K. K. (2010). Scoping studies: Advancing the methodology. Implementation Science, 5, 69. http://dx.doi.org/10.1186/1748- 5908-5-69
Li, D., & Korniewicz, D. M. (2013). Determination of the effectiveness of electronic health records to document pressure ulcers. Medsurg Nursing, 22(1), 17–25.
Lim, S. L., Ong, K. C., Chan, Y. H., Loke, W. C., Ferguson, M., & Daniels, L. (2012). Malnutrition and its impact on cost of hospitalization, length of stay, readmission and 3-year mortality. Clinical Nutrition, 31(3), 345–350. http://dx. doi.org/10.1016/j.clnu.2011.11.001
Liu, J., Luo, L., Zhang, R., & Huang, T. (2013). Patient satisfaction with electronic medical/health record: A systematic review. Scandinavian Journal of Caring Sciences, 27(4), 785–791. http://dx.doi.org/10.1111/scs.12015
Liu, X., Zheng, J., Liu, K., Baggs, J. G., Liu, J., Wu, Y., . . . & You, L. (2018). Hospital nursing organizational factors, nursing care left undone, and nurse burnout as predictors of patient safety: A structural equation modeling analysis. International Journal of Nursing Studies, 86, 82–89. http://dx.doi.org/10.1016/j. ijnurstu.2018.05.005
Lo, Y. S., Lee, W. S., & Liu, C. T. (2013). Utilization of electronic medical records to build a detection model for surveillance of healthcare-associated urinary tract infections. Journal of Medical Systems, 37(2), 9923. http://dx.doi.org/10.1007/ s10916-012-9923-2
Manaktala, S., & Claypool, S. R. (2017). Evaluating the impact of a computerized surveillance algorithm and decision support system on sepsis mortality. Journal of the American Medical Informatics Association, 24(1), 88–95. http://dx. doi.org/10.1093/jamia/ocw056
Marier, A., Olsho, L. E., Rhodes, W., & Spector, W. D. (2016). Improving prediction of fall risk among nursing home residents using electronic medical records. Journal of the American Medical Informatics Association, 23(2), 276–282. http:// dx.doi.org/10.1093/jamia/ocv061
Mattison, M., Afonso, K. A., Ngo, L. H., & Mukamal, K. J. (2010). Preventing potentially inappropriate medication use in hospitalized older patients with a Computerized Provider Order Entry Warning System. Archives of Internal Medicine, 170(5), 1331–1336.
McRee, L., Thanavaro, J. L., Moore, K., Goldsmith, M., & Pasvogel, A. (2014). The impact of an electronic medical record surveillance program on outcomes for patients with sepsis. Heart & Lung, 43(6), 546–549. http://dx.doi.org/10.1016/j. hrtlng.2014.05.009
Miller, D. M., Neelon, L., Kish-Smith, K., Whitney, L., & Burant, C. J. (2017). Pressure injury knowledge in critical care nurses. Journal of Wound Ostomy & Continence Nursing, 44(5), 455–457. http://dx.doi.org/10.1097/WON.0000000000000350
Miller, N., Frankenfield, D., Lehman, E., Maguire, M., & Schirm, V. (2016). Predicting pressure ulcer development in clinical practice: Evaluation of braden scale scores and nutrition parameters. Journal of Wound Ostomy & Continence Nursing, 43(2), 133–139. http://dx.doi.org/10.1097/WON.0000000000000184
Moon, K. J., Jin, Y., Jin, T., & Lee, S. M. (2018). Development and validation of an automated delirium risk assessment system (Auto-DelRAS) implemented in the electronic health record system. International Journal of Nursing Studies, 77, 46–53. http://dx.doi.org/10.1016/j.ijnurstu.2017.09.014
Nabhan, M., Elraiyah, T., Brown, D. R., Dilling, J., LeBlanc, A., Montori, V. M., . . . & Murad, M. H. (2012). What is preventable harm in healthcare? A systematic review of definitions. BMC Health Services Research, 25(12), 128. http://dx.doi. org/10.1186/1472-6963-12-128
Narayanan, N., Gross, A. K., Pintens, M., Fee, C., & MacDougall, C. (2016). Effect of an electronic medical record alert for severe sepsis among ED patients. The American Journal of Emergency Medicine, 34(2), 185–188. http://dx.doi.org/10. 1016/j.ajem.2015.10.005
Nebeker, J. R. (2002). Developing a taxonomy for research in adverse drug events: Potholes and signposts. Journal of the American Medical Informatics Association, 9(6), S80–S85. http://dx.doi.org/10.1197/jamia.M1234
Nguyen, L., & Wickramasinghe, N. (2017). An examination of the mediating role for a nursing information system. Australasian Journal of Information Systems, 21, 1–21.
Nguyen, S. Q., Mwakalindile, E., Booth, J. S., Hogan, V., Morgan, J., Prickett, C. T., . . . & Wang, H. E. (2014). Automated electronic medical record sepsis detection in the emergency department. PeerJ, 2, e343. http://dx.doi.org/10.7717/peerj.343
Nursing and Midwifery Board of Australia. (2016). Registered nurse standards for practice. Melbourne, VIC: Nursing and Midwifery Board of Australia.
Nursing and Midwifery Board of Australia. (2018a). Professional codes & guidelines: Professional standards Retrieved from. http://www.nursingmidwiferyboard. gov.au/Codes-Guidelines-Statements/Professional-standards.aspx Nursing and Midwifery Board of Australia. (2018b). Professional codes & guidelines: Guidelines Retrieved from. http://www.nursingmidwiferyboard.gov.au/CodesGuidelines-Statements/Codes-Guidelines.aspx
Nursing and Midwifery Board of Australia. (2018c). Professional codes & guidelines: Policies Retrieved from. http://www.nursingmidwiferyboard.gov.au/CodesGuidelines-Statements/Policies.aspx
O’Tuathail, C., & Taqi, R. (2011). Evaluation of three commonly used pressure ulcer risk assessment scales. British Journal of Nursing, 20(6), S27–S34. http://dx.doi. org/10.12968/bjon.2011.20.Sup2.S27
Olenick, E. M., Zimbro, K. S., D’Lima, G. M., Ver Schneider, P., & Jones, D. (2017). Predicting sepsis risk using the “sniffer” algorithm in the electronic medical record. Journal of Nursing Care Quality, 32(1), 25–31. http://dx.doi.org/10.1097/ NCQ.0000000000000198
Oh, S. H., Park, E. J., Jin, Y., Piao, J., & Lee, S. M. (2014). Automatic delirium prediction system in a Korean surgical intensive care unit. Nursing in Critical Care, 19(6), 281–291. http://dx.doi.org/10.1111/nicc.12048
Ortega, A., Aguinagalde, A., Lacasa, C., Aquerreta, I., Fernandez-Benitez, M., & Fernandez, L. M. (2008). Efficacy of an adverse drug reaction electronic reporting system integrated into a hospital information system. The Annals of Pharmacotherapy, 42(10), 1491–1496. http://dx.doi.org/10.1345/aph.1L130
Osheroff, J. A., Teich, J. M., Middleton, B., Steen, E. B., Wright, A., & Detmer, D. E. (2007). A Roadmap for national action on clinical decision support. Journal of the American Medical Informatics Association, 14(2), 141–145.
Pageler, N. M., Longhurst, C. A., Wood, M., Cornfield, D. N., Suermondt, J., Sharek, P. J., . . . & Franzon, D. (2014). Use of electronic medical record-enhanced checklist and electronic dashboard to decrease CLABSIs. Pediatrics, 133(3), e738–746. http://dx.doi.org/10.1542/peds.2013-2249
Park, S. H., Blegen, M. A., Spetz, J., Chapman, S. A., & De Groot, H. A. (2015). Comparison of nurse staffing measurements in staffing-outcomes research. Medical Care, 53(1), e1–e8.
Paul, L., & Robinson, K. M. (2012). Capture and documentation of coded data on adverse drug reactions: An overview. Health Information Management Journal, 41(3), 27–36.
Piscotty, R. J., Kalisch, B., Gracey-Thomas, A., & Yarandi, H. (2015). Electronic nursing care reminders: Implications for nursing leaders. JONA The Journal of Nursing Administration, 45(5), 239–242. http://dx.doi.org/10.1097/NNA. 0000000000000192
Plaskitt, A., Heywood, N., & Arrowsmith, M. (2015). Recording pressure ulcer risk assessment and incidence. Nursing Standard, 29(46), 54–61.
Ray, S., Laur, C., & Golubic, R. (2014). Malnutrition in healthcare institutions: A review of the prevalence of under-nutrition in hospitals and care homes since 1994 in England. Clinical Nutrition, 33(5), 829–835. http://dx.doi.org/10.1016/j. clnu.2013.10.017
Redley, B., & Baker, T. (2018). Have you SCAND MMe please? A framework to prevent harm during acute hospitalisation of older persons: A retrospective audit. Journal of Clinical Nursing, 28(3-4), 560–574. http://dx.doi.org/10.1111/ jocn.14650
Redley, B., & Raggatt, M. (2017). Use of standard risk screening and assessment forms to prevent harm to older people in Australian hospitals: A mixed methods study. BMJ Quality & Safety, 26(9), 704–713. http://dx.doi.org/10. 1136/bmjqs-2016-005867
Roberts, L. L., Ward, M. M., Brokel, J. M., Wakefield, D. S., Crandall, D. K., & Conlon, P. (2010). Impact of health information technology on detection of potential adverse drug events at the ordering stage. American Journal of Health-System Pharmacy, 67(21), 1838–1846. http://dx.doi.org/10.2146/ajhp090637
Rogers, M. L., Sockolow, P. S., Bowles, K. H., Hand, K. E., & George, J. (2013). Use of a human factors approach to uncover informatics needs of nurses in documentation of care. International Journal of Medical Informatics, 82(11), 1068–1074.
Rossi, M., Campbell, K. L., & Ferguson, M. (2014). Implementation of the nutrition care process and international dietetics and nutrition terminology in a single-center hemodialysis unit: Comparing paper vs electronic records. Journal of the Academy of Nutrition and Dietetics, 114(1), 124–130. http://dx.doi. org/10.1016/j.jand.2013.07.033
Rothman, M., Levy, M., Dellinger, R. P., Jones, S. L., Fogerty, R. L., Voelker, K. G., & Beals, J. T. (2017). Sepsis as 2 problems: Identifying sepsis at admission and predicting onset in the hospital using an electronic medical record-based acuity score. Journal of Critical Care, 38, 237–244. http://dx.doi.org/10.1016/j. jcrc.2016.11.037
Rudolph, J. L., Doherty, K., Kelly, B., Driver, J. A., & Archambault, E. (2016). Validation of a delirium risk assessment using electronic medical record information. Journal of the American Medical Directors Association, 17(3), 244–248. http://dx.doi.org/10.1016/j.jamda.2015.10.020
Runciman, W., Hibbert, P., Thomson, R., Van Der Schaaf, T., Sherman, H., & Lewalle, P. (2009). Towards an international classification for patient safety: Key concepts and terms. International Journal for Quality in Health Care, 21(1), 18–26.
Rycroft-Malone, J., & Bucknall, T. (Eds.). (2010). Models and frameworks for implementing evidence-based practice: Linking evidence to action. Chichester, England: John Wiley & Sons.
Saranto, K., Kinnunen, U. M., Kivekas, E., Lappalainen, A. M., Liljamo, P., Rajalahti, E., . . . & Hypponen, H. (2014). Impacts of structuring nursing records: A systematic review. Scandinavian Journal of Caring Sciences, 28(4), 629–647. http://dx.doi.org/10.1111/scs.12094
Saum, L., & Reeves, D. (2016). Venous thromboembolism prophylaxis compliance before and after electronic health record implementation. Hospital Pharmacy, 51(2), 142–148. http://dx.doi.org/10.1310/hpj5102-142
Seidling, H. M., Al Barmawi, A., Kaltschmidt, J., Bertsche, T., Pruszydlo, M. G., & Haefeli, W. E. (2007). Detection and prevention of prescriptions with excessive doses in electronic prescribing systems. European Journal of Clinical Pharmacology, 63(12), 1185–1192. http://dx.doi.org/10.1007/s00228-007- 0370-9
Seidling, H. M., Schmitt, S. P., Bruckner, T., Kaltschmidt, J., Pruszydlo, M. G., Senger, C., . . . & Haefeli, W. E. (2010). Patient-specific electronic decision support reduces prescription of excessive doses. Quality & Safety in Health Care, 19(5), e15. http://dx.doi.org/10.1136/qshc.2009.033175
Siddiqi, N., & House, A. (2006). Delirium: An update on diagnosis, treatment and prevention. Clinical Medicine, 6(6), 540–543.
Smith, D. H., Perrin, N., Feldstein, A., Yang, X., Kuang, D., Simon, S. R., . . . & Soumerai, S. B. (2006). The impact of prescribing safety alerts for elderly persons in an electronic medical record: An interrupted time series evaluation. Archives of Internal Medicine, 166(10), 1098–1104.
Snowden, A., & Kolb, H. (2017). Two years of unintended consequences: Introducing an electronic health record system in a hospice in Scotland. Journal of Clinical Nursing, 26(9–10), 1414–1427. http://dx.doi.org/10.1111/jocn.13576
Stalpers, D., de Brouwer, B. J., Kaljouw, M. J., & Schuurmans, M. J. (2015). Associations between characteristics of the nurse work environment and five nurse-sensitive patient outcomes in hospitals: A systematic review of literature. International Journal of Nursing Studies, 52(4), 817–835. http://dx.doi. org/10.1016/j.ijnurstu.2015.01.005
Stevenson, J. E., & Nilsson, G. (2012). Nurses’ perceptions of an electronic patient record from a patient safety perspective: A qualitative study. Journal of Advanced Nursing, 68(3), 667–676. http://dx.doi.org/10.1111/j.1365-2648. 2011.05786.x
Stevenson, J. E., Nilsson, G. C., Petersson, G. I., & Johansson, P. E. (2010). Nurses’ experience of using electronic patient records in everyday practice in acute/inpatient ward settings: A literature review. Health Informatics Journal, 16(1), 63–72. http://dx.doi.org/10.1177/1460458209345901
Stockton, K. R., Wickham, M. E., Lai, S., Badke, K., Dahri, K., Villanyi, D., . . . & Hohl, C. M. (2017). Incidence of clinically relevant medication errors in the era of electronically prepopulated medication reconciliation forms: A retrospective chart review. CMAJ Open, 5(2), E345–E353. http://dx.doi.org/10.9778/cmajo. 20170023
Sutcliffe, K. M., Lewton, E., & Rosenthal, M. M. (2004). Communication failures: An insidious contributor to medical mishaps. Academic Medicine, 79(2), 186–194.
Swan, B. A., Becker, J., Rickie Brawer, R., & Sciamanna, C. N. (2011). Factors influencing the implementation of a point-of-care screening tool for delirium. Medsurg Nursing, 20(6), 318–322.
Takian, A., Sheikh, A., & Barber, N. (2012). We are bitter, but we are better off: Case study of the implementation of an electronic health record system into a mental health hospital in England. BMC Health Services Research, 12, 484. http://dx.doi.org/10.1186/1472-6963-12-484
Taylor, S. P., Ledford, R., Palmer, V., & Abel, E. (2014). We need to talk: An observational study of the impact of electronic medical record implementation on hospital communication. BMJ Quality & Safety, 23(7), 584–588. http://dx. doi.org/10.1136/bmjqs-2013-002436
Tescher, A. N., Branda, M. E., Byrne, T. J., & Naessens, J. M. (2012). All at-risk patients are not created equal: Analysis of braden pressure ulcer risk scores to identify specific risks. Journal of Wound Ostomy & Continence Nursing, 39(3), 282–291. http://dx.doi.org/10.1097/WON.0b013e3182435715
Thompson, G., O’Horo, J. C., Pickering, B. W., & Herasevich, V. (2015). Impact of the electronic medical record on mortality, length of stay, and cost in the hospital and ICU: A systematic review and metaanalysis. Critical Care Medicine, 43(6), 1276–1282. http://dx.doi.org/10.1097/CCM.0000000000000948
Tornvall, E., Wilhelmsson, S., & Wahren, L. K. (2004). Electronic nursing documentation in primary health care. Scandinavian Journal of Caring Sciences, 18, 310–317. http://dx.doi.org/10.1111/j.1471-6712.2004.00282.x
Tsai, H.-S., & Kong, E. (2013). Using electronic and mobile data services in the Australian healthcare sector: The challenges from end-users’ viewpoints. The International Journal of Technology, Knowledge, and Society, 9, 63–71.
Tubaishat, A., Tawalbeh, L. I., Azzam, M. A., AlBashtawy, M., & Batiha, A.-M. (2015). Electronic versus paper records: Documentation of pressure ulcer data. British Journal of Nursing, 24(6), S30–S37. http://dx.doi.org/10.12968/bjon.2015.24. Sup6.S30
VanFosson, C. A., Jones, T. L., & Yoder, L. H. (2016). Unfinished nursing care: An important performance measure for nursing care systems. Nursing Outlook, 64(2), 124–136. http://dx.doi.org/10.1016/j.outlook.2015.12.010
Verrall, C., Abery, E., Harvey, C., Henderson, J., Willis, E., Hamilton, P., . . . & Blackman, I. (2015). Nurses and midwives perceptions of missed nursing care – a South Australian study. Collegian, 22(4), 413–420. http://dx.doi.org/10.1016/j. colegn.2014.09.001
Wang, N., Yu, P., & Hailey, D. (2013). Description and comparison of documentation of nursing assessment between paper-based and electronic systems in 582 R.M. Jedwab et al. / Collegian 26 (2019) 562–582 Australian aged care homes. International Journal of Medical Informatics, 82(9), 789–797. http://dx.doi.org/10.1016/j.ijmedinf.2013.05.002
Ward, M. J., Froehle, C. M., Hart, K. W., Collins, S. P., & Lindsell, C. J. (2014). Transient and sustained changes in operational performance, patient evaluation, and medication administration during electronic health record implementation in the emergency department. Annals of Emergency Medicine, 63(3), 320–328. http://dx.doi.org/10.1016/j.annemergmed.2013.08.019
Weiss, M. E., Yakusheva, O., & Bobay, K. L. (2011). Quality and cost analysis of nurse staffing, discharge preparation, and postdischarge utilization. Health Services Research, 46(5), 1473–1494. http://dx.doi.org/10.1111/j.1475-6773.2011. 01267.x
Whitman, G. R., Kim, Y., Davidson, L. J., Wolf, G. A., & Wang, S.-L. (2002). The impact of staffing on patient outcomes across specialty units. Journal of Nursing Administration, 32(12), 633–639.
Wickramasinghe, N., Kent, B., Moghimi, F. H., Stien, M., Nguyen, L., Redley, B., & Botti, M. (2014). Using technology solutions to streamline healthcare processes for nursing: The case of an intelligent operational planning and support tool (IOPST) solution. In N.
Wickramasinghe, L. Hakim, C. Gonzalez, & J. Tan (Eds.), Lean thinking for healthcare: healthcare delivery in the information age (pp. 405–430). New York, NY: Springer.
Witlox, J., Eurelings, L. S. M., De Jonghe, J. F. M., Kalisvaart, K. J., Eikelenboom, P., & Van Gool, W. A. (2010). Delirium in elderly patients and the risk of postdischarge mortality, institutionalization, and dementia: A meta-analysis. Journal of the American Medical Association, 304(4), 443–451. http://dx.doi.org/10.1001/jama.2010.1013
Wright, A., Sittig, D. F., Ash, J. S., Bates, D. W., Feblowitz, J., Fraser, G., . . . & Middleton, B. (2011). Governance for clinical decision support: Case studies and recommended practices from leading institutions. Journal of the American Medical Informatics Association, 18(2), 187–194. http://dx.doi.org/10.1136/ jamia.2009.002030
Wright, A., Sittig, D. F., Ash, J. S., Sharma, S., Pang, J. E., & Middleton, B. (2009). Clinical decision support capabilities of commercially-available clinical information systems. Journal of the American Medical Informatics Association, 16(5), 637–644. http://dx.doi.org/10.1197/jamia.M3111
Zhang, M., Holman, C. D., Preen, D. B., & Brameld, K. (2007). Repeat adverse drug reactions causing hospitalization in older australians: A population-based longitudinal study 1980-2003. British Journal of Clinical Pharmacology, 63(2), 163–170. http://dx.doi.org/10.1111/j.1365-2125.2006.02839.x
Zhang, X. Y., & Zhang, P. (2016). Recent perspectives of electronic medical record systems. Experimental and Therapeutic Medicine, 11(6), 2083–2085. http://dx. doi.org/10.3892/etm.2016.3233
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