Modern Patient Identification And Patient Matching Systems

In the healthcare industry, several modern patient identification and patient matching systems have been introduced. Most of these implement patient identification by their first, middle and last names. They also use Social security number and other similar national identifiers. These methods may not work for many developing and underdeveloped countries where patient identification is a challenge with highly redundant and interchangeable first and last names of the patient, this is aggravated by the absence of a national identification system. In order to make the patient identification more efficient, Muzima, an interface of OpenMRS (Open source medical records system) introduced an additional identifier, fingerprint, through a module to the system. Ordinary and Time Petri nets are used to analyze this module. Chapter 1 introduces Muzima fingerprint module and describes the workflow of this interface followed by the related work, importance and applications of Petri nets. Chapter 2 introduces Ordinary and Time Petri nets using examples. Chapter 3 discusses about the mathematical modeling of Muzima Fingerprint module using Petri nets. Chapter 4 explains the qualitative and quantitative analysis done on the Muzima fingerprint module. Chapter 5 discusses about the programming and simulation done to prove the theoretical results obtained. Chapter 6 provides the summary of each chapter, conclusion and future work for the thesis. In the healthcare sector around the world, theShow MoreRelatedThe Problem Of Patient Registration At The Hospital2892 Words   |  12 PagesIntroduction Failure to identify patients correctly results in wrong person, medication errors, transfusion errors, diagnosis and testing errors. This chapter investigates the potential benefits and uses of technological solutions to patient misidentification. Also, this chapter discusses the statistics of patient misidentifications to stress its importance. 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