@article {Bachiri202036, title = {A Complete Prenatal Solution for a Reproductive Health Unit in Morocco}, journal = {Advances in Intelligent Systems and Computing}, volume = {1161 AISC}, year = {2020}, note = {cited By 0}, pages = {36-43}, abstract = {A prenatal mobile Personal Health Records (mPHR), along with an Electronic Health Records (EHR) are, respectively, exploited in order to permit both the pregnant women and gynecologists or obstetricians monitor the pregnancy progress in the best conditions. For this intent, a complete solution consisting of a prenatal mPHR and an EHR were developed for the maternity {\textquotedblleft}Les Orangers{\textquotedblright} of the Avicenne University Hospital in Rabat. The complete solution provides the main functionalities of a prenatal service. Thereafter, the solution will be validated by conducting an experiment for quality and potential assessment. Hence, a recruitment process has been determined to identify the eligibility criteria to enroll participants (pregnant women and gynecologists), in addition to planning the course of the experiment. {\textcopyright} 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.}, keywords = {Complete solutions, electronic health record, Eligibility criterion, Health, Information systems, Information use, Personal health record, Pregnant woman, Recruitment process, reproductive health}, doi = {10.1007/978-3-030-45697-9_4}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085481969\&doi=10.1007\%2f978-3-030-45697-9_4\&partnerID=40\&md5=e3d4adffd953495adbfb14b0d483c067}, author = {Bachiri, M. and Idri, A. and Rachad, T. and Alami, H. and Redman, L.M.} } @article {Bachiri2018, title = {Evaluating the Privacy Policies of Mobile Personal Health Records for Pregnancy Monitoring}, journal = {Journal of Medical Systems}, volume = {42}, number = {8}, year = {2018}, doi = {10.1007/s10916-018-1002-x}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049316852\&doi=10.1007\%2fs10916-018-1002-x\&partnerID=40\&md5=39f7d1b8a34c6a17937d6935246cf95b}, author = {Bachiri, M. and Idri, A. and Fernandez-Aleman, J.L. and Toval, A.} } @conference {Idri2017262, title = {ISO/IEC 25010 Based Evaluation of Free Mobile Personal Health Records for Pregnancy Monitoring}, booktitle = {Proceedings - International Computer Software and Applications Conference}, volume = {1}, year = {2017}, note = {cited By 0}, pages = {262-267}, abstract = {Background: Mobile Personal Health Records (mPHRs) are mobile applications that allow organizing and saving the patients{\textquoteright} health data in order to ease their management and access for both patients and doctors. Objective: This study aims to evaluate, based on ISO/IEC 25010 quality standard, the software quality of mPHRs for pregnancy monitoring. Method: An External quality evaluation was carried out on 17 pregnancy monitoring mPHRs for iOS and Android. The evaluation consisted of performing a set of tasks and filling in a quality assessment questionnaire that covers the four External quality characteristics: Functional suitability, Operability, Performance efficiency and Reliability. Moreover, 14 mPHRs for pregnancy monitoring were used to study the relationship between the External quality and the Quality in-use by means of four classification techniques: Iterative Dichotomiser 3 (ID3), C4.5, K-nearest neighbors (K-NN) and Na{\"\i}ve Bayes. Results: Functional suitability and Reliability are the most covered quality characteristics by the 17 apps compared to Operability and Performance efficiency. Furthermore, K-NN and C4.5 obtained the highest accuracy rates, as evaluating the accuracy rate of each classification technique can determine if a classifier can be designed to predict the Quality in-use from the External Quality for the apps used in this study. Conclusion: The need of studying the relationship between fulfilling the External quality and the Quality in-use for pregnancy monitoring mPHRs, is of great importance for the developers of these apps for future improvements. {\textcopyright} 2017 IEEE.}, doi = {10.1109/COMPSAC.2017.159}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031943834\&doi=10.1109\%2fCOMPSAC.2017.159\&partnerID=40\&md5=33e58a2940bb96d4a2c3c7a272a519e5}, author = {Idri, A. and Bachiri, M. and Fernandez-Aleman, J.L. and Toval, A.} }