A semantic wiki for user training in ePrescribing processes

Abstract

With the number of prescriptions rising nationally each year, it is required that web-based technology will fully embraced in the pharmacy industry as an aid to quality-assuring prescribing processes. Electronic prescribing (ePrescribing) has the ability not only to streamline the prescription writing process, but also to reduce the number of errors that may be incurred with handwritten prescriptions. The adoption of ePrescribing nationwide through an ePrescribing system premises active participation of users who are familiar with the cooperative and collaborative nature of healthcare delivery. Thus, there is a need for reusable, flexible, agile and adaptable training content with the objective to enable healthcare professionals instill their knowledge and expertise in the ePrescribing process. To this end, social software, such as a wiki, could be used as it supports cooperation and collaboration anytime, anywhere, combined with semantic web technology that enables structuring pieces of information for easy retrieval, reuse and exchange between different systems and tools. In this paper a semantic wiki is presented as a means for developing training material for healthcare providers regarding ePrescribing process. The semantic wiki should act as a collective online memory containing training material that is accessible to authorized users, thus enhancing the training process with collaboration and cooperation capabilities. It is proposed that the wiki is stored in a secure virtual private cloud that is accessible from anywhere, be it an excessively open environment, while meeting the requirements of redundancy, high performance and autoscaling.

A scoping review of cloud computing in healthcare

“…electroencephalography, electrocardiograph) analysis system but it hard to identify where exactly the cloud component can be found in their system architecture [ 71 ]. Papakonstantinou et al describe the prototype of a semantic wiki to support training in healthcare process management which allows cost savings, accelerated time to delivery, and offloaded maintenance [ 72 ].…”

“…12 articles include descriptions of basic conceptual work for cloud projects, but included no creation of a real system [ 16 , 30 , 35 , 46 , 53 , 54 , 63 , 77 , 88 - 92 ]. If applications are described they are usually in a prototype status [ 1 , 7 , 10 - 13 , 15 , 17 - 22 , 28 , 29 , 31 , 33 , 34 , 39 - 45 , 47 , 48 , 55 , 58 , 59 , 61 - 70 , 72 - 75 , 93 - 101 ]. Successful implementations of cloud systems in healthcare were only described in 13 of the 104 articles [ 9 , 25 , 27 , 32 , 36 - 38 , 51 , 57 , 60 , 71 , 78 , 102 ].…”

“…Most cloud-based services are provided using own, proprietary infrastructure. If commercial services are used, Amazon services are applied most often: Elastic Computing Cloud (EC2) is referred to eleven times [ 13 , 34 , 48 , 61 , 63 , 66 , 72 , 90 , 93 , 97 ] and Amazon’s S3 service (Simple Storage Service) three times [ 25 , 29 , 40 ]. One application [ 65 ] used the Virtual Private Cloud (Amazon VPC) to provide more secure services.…”

“…First, in our literature we found that many authors mentioned data privacy and data confidentiality concerns. There is the fear that unauthorized persons might access sensible medical data in a cloud [ 1 , 5 , 13 , 18 , 24 , 25 , 28 , 29 , 31 , 46 , 51 , 52 , 63 , 65 - 67 , 72 , 81 , 83 , 85 , 88 , 94 , 96 ] which might hurt confidentiality of sensitive data about patients, therapies or physicians [ 41 , 103 ].…”

Use of a wiki as an interactive teaching tool in pathology residency education: Experience with a genomics, research, and informatics in pathology course

“…make a proposal for the usage of such a wiki to serve as a “collective memory” containing material pertinent to user training in healthcare process management, but to the best of our knowledge this has not yet grown beyond the proposal stage. [ 28 ] Kardong-Edgren et al . describe the use of another such “collective memory” wiki – this time for tracking of information and data in a nursing CPR education trial – but the group's final report on the results of the trial does not comment on how efficacious their use of wiki technology was.…”