Meaningful Use
Meaningful Use for Nurses:
Implications and Recommendations
Sheena Eisen H. Adrados
Chamberlain College of Nursing
Meaningful Use for Nurses: Implications and Recommendations
Over the past decade, virtually every major industry invested heavily in computerization. The heath care industry was no exception to the rise in the use of technology. These technologies are starting to allow health care practitioners to offer faster, and more efficient patient care than ever before. No doubt this is the right direction we expect health care to follow.
Health information technology (HIT) is revolutionizing the way we interact with health-related data. One example of this is the obvious rise in the adoption rates of electronic health records by health care providers. Nursing plays a vital role in electronic health record (EHR) adoption because of their intimate understanding of the workflow. HIT is changing the way the health information is documented, stored, viewed, retrieved, shared, managed, and consumed (Health IT dashboard, 2013). These technologies include EHRs, personal health information (PHI), electronic medication prescribing, personal health tools, and online communities. Recent changes in legislation had a major impact on healthcare. This paper aims to discuss the overview of Meaningful Use, the implications of Meaningful Use core criteria, and evidence-based recommendations for additional criteria.
Overview of Meaningful Use
In direct response to the economic crisis and at the urging of President Obama, the US Congress passed the American Recovery and Reinvestment Act of 2009 (ARRA) or commonly referred to as the “stimulus package”. ARRA includes many measures to modernize our nation’s infrastructure, one of which is the Health Information Technology for Economic and Clinical Health (HITECH) Act. The ARRA has earmarked approximately $19 billion to help physicians and hospitals to achieve “meaningful
Implications and Recommendations
Sheena Eisen H. Adrados
Chamberlain College of Nursing
Meaningful Use for Nurses: Implications and Recommendations
Over the past decade, virtually every major industry invested heavily in computerization. The heath care industry was no exception to the rise in the use of technology. These technologies are starting to allow health care practitioners to offer faster, and more efficient patient care than ever before. No doubt this is the right direction we expect health care to follow.
Health information technology (HIT) is revolutionizing the way we interact with health-related data. One example of this is the obvious rise in the adoption rates of electronic health records by health care providers. Nursing plays a vital role in electronic health record (EHR) adoption because of their intimate understanding of the workflow. HIT is changing the way the health information is documented, stored, viewed, retrieved, shared, managed, and consumed (Health IT dashboard, 2013). These technologies include EHRs, personal health information (PHI), electronic medication prescribing, personal health tools, and online communities. Recent changes in legislation had a major impact on healthcare. This paper aims to discuss the overview of Meaningful Use, the implications of Meaningful Use core criteria, and evidence-based recommendations for additional criteria.
Overview of Meaningful Use
In direct response to the economic crisis and at the urging of President Obama, the US Congress passed the American Recovery and Reinvestment Act of 2009 (ARRA) or commonly referred to as the “stimulus package”. ARRA includes many measures to modernize our nation’s infrastructure, one of which is the Health Information Technology for Economic and Clinical Health (HITECH) Act. The ARRA has earmarked approximately $19 billion to help physicians and hospitals to achieve “meaningful
References: Health IT Dashboard. (2013). Office of the National Coordinator for Health Information Technology (ONC). http://dashboard.healthit.gov/HITAdoption/. Meaningful Use. (2012). Center for Disease Control and Prevention. Retrieved from http://www.cdc.gov/ehrmeaningfuluse/introduction.html. Meystre, S., Friedlin, F., South, B., Shen, S., & Samore, M. (2010). Automatic de-identification of textual documents in the electronic health record: a review of recent research. BMC Medical Research Methodology, 1070. doi:10.1186/1471-2288-10-70 Mominah, M. & Househ, M, (2013). Identifying computerized provider order entry (CPOE) medication errors… international Conference of Informatics, Management, and Technology in Healthcare (ICIMTH) Conference, July 5-7th, Athens, Greece. Studies In Health Technology And Informatics, 1902, 210-212. doi: 10.3233/978-1-61499-276-9 210 NLM: The Hippocratic Oath 2002 [http://www.nlm.nih.gov/hmd/greek/ greek_oath.html]. Prusch, A. E., Suess, T. M., Paoletti, R. D., Olin, S. T., & Watts, S. D. (2011). Integrating technology to improve medication administration. American Journal Of Health System Pharmacy, 68(9), 835-842. doi:10.2146/ajhp100211 Privacy, Security, and Electronic Health Records. (2013). http://www.hhs.gov/ocr/privacy/hipaa/understanding/consumers/privacy-security electronic-records.pdf Wright, A., Feblowitz, J., Maloney, F., Henkin, S., & Bates, D. (2012). Use of an electronic problem list by primary care providers and specialists. JGIM: Journal Of General Internal Medicine, 27(8), 968-973. doi:10.1007/s11606-012-2033-5