Implementing Electronic Medical Record Systems

MacKinnon, W.; Wasserman, Mark

doi:10.1109/mitp.2009.125

Cited by 14 publications

(15 citation statements)

References 11 publications

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“…After HISs have become common, many efforts are ongoing to efficiently represent medical information in EMR [1,2] and to efficiently manage them [3,4]. Some previous works presented analysis or processing methods [5][6][7][8] and transfer or exchange systems [9,10] for medical images.…”

Section: Related Workmentioning

confidence: 99%

“…Nowadays most of medical institutions like hospitals naturally use HIS. Recently, many studies [1][2][3][4][5][6][7][8][9][10] have tried to efficiently store, transfer, and manage clinical materials. However, HIS consists of several systems such as Order Communication System (OCS), Electronic Medical Record (EMR), and Picture Archiving and Communication System (PACS) and they generate clinical materials of different types.…”

Section: Introductionmentioning

confidence: 99%

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Image-Centric Integrated Data Model of Medical Information by Diseases: Two Case Studies for AMI and Ischemic Stroke

2016

J Inf Process Syst

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In the medical fields, many efforts have been made to develop and improve Hospital Information System (HIS) including Electronic Medical Record (EMR), Order Communication System (OCS), and Picture Archiving and Communication System (PACS). However, materials generated and used in medical fields have various types and forms. The current HISs separately store and manage them by different systems, even though they relate to each other and contain redundant data. These systems are not helpful particularly in emergency where medical experts cannot check all of clinical materials in the golden time. Therefore, in this paper, we propose a process to build an integrated data model for medical information currently stored in various HISs. The proposed data model integrates vast information by focusing on medical images since they are most important materials for the diagnosis and treatment. Moreover, the model is disease-specific to consider that medical information and clinical materials including images are different by diseases. Two case studies show the feasibility and the usefulness of our proposed data model by building models about two diseases, acute myocardial infarction (AMI) and ischemic stroke.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Image-Centric Integrated Data Model of Medical Information by Diseases: Two Case Studies for AMI and Ischemic Stroke

2016

J Inf Process Syst

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“…EMR also streamlines management of hospital functions and processes, for example inventory of resources such as drugs (Fraser et al, 2005). Other benefits of EMR include reduced errors and improvement in the quality of service in health centres (MacKinnon & Wasserman, 2009). Improved patient participation is also another incentive of EMR use in health care centres (Ved, Agarwal & Pandya, 2011).…”

Section: Benefits Of Emrmentioning

confidence: 99%

Implementation of Electronic Medical Records—A Case Study of an Eye Hospital

Missah¹,

Dighe²,

Miller³

et al. 2013

South Asian Journal of Business and Management Cases

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Health care organizations around the world are recognizing the benefits of maintaining electronic medical records for patients with improved quality of service, free flow of information (across multiple locations), reduced cost of operations resulting in cost efficiencies, better health and efficient utilization of resources. Recognizing these benefits as opportunities, health care providers have or are in the process of migrating from paper-based health care records to electronic medical systems. This transition is not always free from challenges. This study presents recommendations for managing challenges with data conversion from paper form to electronic database based on a case study done by students from Colorado Technical University, Colorado Springs, CO, USA, for a prominent eye hospital in Jalna, India, using appreciative inquiry. The Culture, Administrative, Geographic and Economic (CAGE) framework at the industrial level is applied to evaluate the options considered for data conversion and transition.

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“…Overcoming that resistance and getting users to embrace and use new technology is a major undertaking for organizations (Benjamin & Levinson, 1993;Liang et al, 2010;Robey, Ross, & Boudreau, 2002). Visible top management support of new information systems is a critical success factor for information systems implementation (Liang, Nilesh, Hu, & Xue, 2007;Liang et al, 2010;MacKinnon & Wasserman, 2009) and executive level change management efforts are antecedent to proper use of new information systems (Motwani, Mirchandani, Madan, & Gunasekaran, 2002;Motwani, Subramanian, & Gopalakrishna, 2005;Trice & Treacy, 1988). Once organizational actors are convinced of the efficacy of the new system and become accustomed to its use, it becomes selfreinforcing.…”

Section: Change Managementmentioning

confidence: 99%

“…Handel and Hackman (2010) suggest that one of the biggest challenges is translating the patient -physician encounter, which is essentially narrative in nature, to template-ized information. Clinicians resist the changes to medical practice required by the EMR system and feel like they are losing the art of healthcare (MacKinnon & Wasserman, 2009;Winston & Medlin, 2011). They feel a loss of professional autonomy and an overdependence on technology (Handel & Hackman, 2010).…”

Section: Clinician Resistancementioning

confidence: 99%

The Impact of Electronic Medical Records Systems on Healthcare Subunit Performance: A Dynamic Capabilities Study

MacKinnon¹

Self Cite

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This thesis focuses on the impact of electronic medical records (EMR) systems on healthcare subunit performance. EMR systems are a relatively new artifact in the healthcare industry and have come under a great deal of attention lately, seen as a way of reducing healthcare costs and improving healthcare quality. We have taken a dynamic capabilities perspective for this research. We developed a model that suggests that two dynamic capabilities: process management and change management, will positively impact usage of EMR systems, and that EMR use is the key driver of operational performance at the subunit level. We tested our theory with a sequential mixed method approach. Our unit of analysis was hospital emergency clinicians. Our quantitative data collection method was through the use of an online survey of mainly nurse and nurse managers. Survey data was analyzed using structural equation modeling. Our qualitative data collection method was through the use of qualitative interviews with emergency department stakeholders. The interviews were conducted to obtain additional insight into the issues surrounding implementation and use of EMR systems and to help explain our quantitative results. We found that process management and pre-implementation change management positively impact EMR use, and that EMR use positively impacts clinician related performance. Post-implementation change management was found to have a negative effect on EMR use. Finally, we found that process management had a direct positive effect on patient-related performance and EMR use had an indirect positive effect on patient-related performance, mediated by clinician-related performance. iii Acknowledgements This thesis would not have been possible without the support of my family. I am thankful to my wife Miriam and my children, Justin and Jenna. Their patience and encouragement through this long and arduous process has been greatly appreciated. I am also very grateful for the tremendous amount of help, support, advice and encouragement that I have received from my friends and colleagues at Clarkson University. I am also thankful for the advice and contacts I have made through friends and family who are members of the healthcare community, and the new friendships I have made in the process of this research.

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Implementing Electronic Medical Record Systems

Cited by 14 publications

References 11 publications

Image-Centric Integrated Data Model of Medical Information by Diseases: Two Case Studies for AMI and Ischemic Stroke

Image-Centric Integrated Data Model of Medical Information by Diseases: Two Case Studies for AMI and Ischemic Stroke

Implementation of Electronic Medical Records—A Case Study of an Eye Hospital

The Impact of Electronic Medical Records Systems on Healthcare Subunit Performance: A Dynamic Capabilities Study

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