Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time

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.

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

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 ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document