A Review of Evaluation and Selection of Open Source Software in Electronic Medical Record

Abstract

The valuation and choice of unsuitable open source software in electronic medical record (OSS-EMR) groups negatively affects the functions of organization and business processes. This study provides an insight into the assessment and choice of OSS-EMR groups in two ways. Firstly, quality characteristics are determined to evaluate OSS-EMR sets according to current frameworks and quality models. Secondly, the capabilities of appropriate choose methods for resolving OSS-EMR groups problems are discussed on the basis of Multi-criteria assessment and select issues are considered for choosing the best OSS-EMR. The obtained results can be attributed to the following:(1) quality characteristics considered for the evaluation of OSS-EMR groups; (2) the gap in the assessment criteria used in EMR and other issues; and Multi-Criteria or Multi-Attribute Decision Making techniques used in framework for evaluating and selecting OSS in health informatics as part of a recommended solution.

Systematic Selection of Blockchain Platforms Using Fuzzy Ahp-Topsis

“…A reciprocal value will be automatically assigned to the reverse comparison within the matrix. For example, if criteria 1 is "Strongly Important" than criteria 2, the decision maker will assign a triangular scale (6,7,8) in the 𝑎 ̃12 . On the other hand, the reciprocal value (1/8,1/7,1/6) will be assigned to the reverse pairwise comparison of criteria 2 to criteria 1, 𝑎 ̃21 .…”

“…Choosing the right blockchain platform is considered a challenging selection process because it involves complex, multi-criterion problems [5] whose objectives may conflict. Furthermore, the excessive amount of information with conflicting objectives in a multi-attribute problem is beyond the capability of the human brain [6] and needs a sufficient selection method. With an increment in the number of decision-makers, alternatives and features, analysis becomes perplexing and difficult to decide.…”

“…Referring to the comparison of studies that have applied MCDM techniques (Table 1), the authors usually used a combination of the AHP method with other MCDM techniques [19,[23][24][25][26][27][28][29] in their proposed decision-making process in different application domains. AHP can be used for weight calculation [6,22] and TOPSIS is one of the most practical methods which helps identify the most suitable alternatives quickly [19]. In this study, Fuzzy AHP has been combined with Fuzzy TOPSIS to efficiently handle the fuzziness problem of the information involved in deciding the most suitable blockchain platform.…”