Medical Device Integration of Neurodiagnostic Equipment with Hospital Electronic Medical Records/Hospital Information Systems at UMass Memorial Medical Center

2011 ◽  
Vol 36 (4) ◽  
pp. 157-165 ◽  
Author(s):  
Pratyusha Mattegunta
2011 ◽  
pp. 1874-1899 ◽  
Author(s):  
Morgan Price

The purpose of this chapter is to provide the reader with an overview of several models and theories from the general HCI literature, highlighting models at three levels of focus: biomechanical interactions, individual-cognitive interactions, and social interactions. This chapter will also explore how these models were or could be applied to the design and evaluation of clinical information systems, such as electronic medical records and hospital information systems. Finally, it will conclude with how an understanding at each level compliments the other two in order to create a more complete understanding of the interactions of information systems in healthcare.


2017 ◽  
Vol 5 (3) ◽  
pp. e26 ◽  
Author(s):  
Zilma Silveira Nogueira Reis ◽  
Thais Abreu Maia ◽  
Milena Soriano Marcolino ◽  
Francisco Becerra-Posada ◽  
David Novillo-Ortiz ◽  
...  

Author(s):  
Morgan Price

The purpose of this chapter is to provide the reader with an overview of several models and theories from the general HCI literature, highlighting models at three levels of focus: biomechanical interactions, individual-cognitive interactions, and social interactions. This chapter will also explore how these models were or could be applied to the design and evaluation of clinical information systems, such as electronic medical records and hospital information systems. Finally, it will conclude with how an understanding at each level compliments the other two in order to create a more complete understanding of the interactions of information systems in healthcare.


Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 13
Author(s):  
Nielsen ◽  
Saavedra ◽  
Villarreal ◽  
Muñoz ◽  
Castillo

The existing technologies, systems, or models in the hospital system, in certain aspects have, in terms of integrity, difficulties in carrying out an adequate, systematic, and automated record of patient data. To this end, the electronic health records (EHR) have been designed to provide updated information to the entire health system. This document is one of the most important that exists within the hospital system throughout the country, and its main objective is the care, treatment, and monitoring of peoples’ health in a simple and conceptualized way. This article proposes the design of a flexible electronic health record system (FLEXEHR), integrating generic systems and totally flexible, based on web services so that different hospital information systems can be interconnected, thus creating a patient data gateway in an orderly and structured way, considering its availability, confidentiality, and integrity. In Panama, existing health systems have the disadvantage that they are not interoperable, which generates duplication of EHR according to the type of health entity visited.


2017 ◽  
Vol 121 ◽  
pp. 469-474 ◽  
Author(s):  
Ekaterina V. Bolgva ◽  
Nadezhda E. Zvartau ◽  
Sergey V. Kovalchuk ◽  
Marina A. Balakhontceva ◽  
Oleg G. Metsker

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Kuang-Ming Kuo ◽  
Paul C. Talley ◽  
Tain-Junn Cheng

Abstract Background This study explored the possible antecedents that will motivate hospital employees’ compliance with privacy policy related to electronic medical records (EMR) from a deterrence perspective. Further, we also investigated the moderating effect of computer monitoring on relationships among the antecedents and the level of hospital employees’ compliance intention. Methods Data was collected from a large Taiwanese medical center using survey methodology. A total of 303 responses was analyzed via hierarchical regression analysis. Results The results revealed that sanction severity and sanction certainty significantly predict hospital employees’ compliance intention, respectively. Further, our study found external computer monitoring significantly moderates the relationship between sanction certainty and compliance intention. Conclusions Based on our findings, the study suggests that healthcare facilities should take proactive countermeasures, such as computer monitoring, to better protect the privacy of EMR in addition to stated privacy policy. However, the extent of computer monitoring should be kept to minimum requirements as stated by relevant regulations.


2020 ◽  
Author(s):  
Sam Ransbotham ◽  
Eric M. Overby ◽  
Michael C. Jernigan

Information systems generate copious trace data about what individuals do and when they do it. Trace data may affect the resolution of lawsuits by, for example, changing the time needed for legal discovery. Trace data might speed resolution by clarifying what events happened when, or they might slow resolution by generating volumes of new and potentially irrelevant data that must be analyzed. To investigate this, we analyze the effect of electronic medical records (EMRs) on malpractice claim resolution time. Use of EMRs within hospitals at the time of the alleged malpractice is associated with a four-month (12%) reduction in resolution time. Because unresolved malpractice claims impose substantial costs on the entire healthcare system, our finding that EMRs are associated with faster resolution has broad welfare implications. Furthermore, as we increasingly digitize society, the ramifications of trace data on legal outcomes matter beyond the medical context. This paper was accepted by Teck Ho, information systems.


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