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"Penelitian mengenai aplikasi m-Health mengungkapkan bahwa privasi dan keamanan masih menjadi isu yang penting pada aplikasi tersebut. Indonesia sendiri masih sering dihadapkan dengan insiden kebocoran data pengguna pada aplikasi m-Health. Oleh karena itu, penelitian ini bertujuan untuk mengevaluasi kepatuhan kebijakan privasi berdasarkan hukum yang berlaku, serta menganalisis sejauh mana aplikasi m-Health di Indonesia melindungi privasi pengguna dan menjaga keamanan aplikasinya ditinjau dari sisi teknis. Dilakukan penilaian kepatuhan kebijakan privasi terhadap Undang-Undang Nomor 27 Tahun 2022 tentang Pelindungan Data Pribadi (UU PDP) dan analisis keamanan aplikasi secara statis dan dinamis dengan menggunakan tools, seperti MobSF dan Fiddler (proxy), untuk mengidentifikasi celah keamanan berdasarkan standar yang ada, dalam hal ini CWE (Common Weakness Enumeration). Hasil yang didapatkan menunjukkan bahwa skor penilaian kepatuhan kebijakan privasi tertinggi hanya mencapai 65% dan setiap aplikasi setidaknya diduga memiliki satu kelemahan pada fitur keamanan yang diimplementasikan. Dengan begitu, dapat disimpulkan bahwa kebijakan privasi aplikasi m-Health di Indonesia belum sepenuhnya sesuai dengan apa yang ditetapkan dalam UU PDP dan masih banyak celah keamanan pada aplikasi m-Health yang dapat dieksploitasi.

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The research on m-Health applications reveals that privacy and security remain significant concerns in these applications. Indonesia itself frequently faces incidents of user data breaches in m-Health applications. Therefore, this study aims to evaluate compliance with privacy policies based on applicable law and analyze the extent to which m-Health applications in Indonesia protect user privacy and maintain application security from a technical perspective. The assessment includes evaluating privacy policy compliance with Undang-Undang Nomor 27 Tahun 2022 tentang Pelindungan Data Pribadi (UU PDP) and conducting static and dynamic application security analysis using tools such as MobSF and Fiddler (proxy). This analysis aims to identify security vulnerabilities based on a standard, specifically Common Weakness Enumeration (CWE). The results indicate that the highest privacy policy compliance score reaches only 65%, and each application is suspected of having at least one weakness in the implemented security features. Consequently, it can be concluded that the privacy policies of m-Health applications in Indonesia are not fully aligned with the provisions of the UU PDP. Additionally, there are still numerous security vulnerabilities in m-Health applications that could be exploited."

"This book constitutes the refereed proceedings of the 4th International Conference on Information Technologies in Biomedicine, ITIB 2012, held in Goglin, Poland, in June 2012. The 60 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on image analysis, signal processing, biocybernetics, biomaterials, bioinformatics and biotechnology, biomechanics and rehabilitation, and assisted living systems."

"This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference, eHealth 2010, held in Casablanca, Morocco, in December 2010. The 30 revised full papers presented along with 12 papers from 2 collocated workshops were carefully reviewed and selected from 70 submissions in total and cover a wide range of topics including web intelligence, privacy, trust and security, ontologies and knowledge management, eLearning and education, Web 2.0 and online communications of practice, and performance monitoring and evaluation frameworks for healthcare."

"In this book, present a number of computational medicine topics at several scales: from molecules to cells, organs, and organisms. At the molecular level, tools for the analysis of genome variations as well as cloud computing resources for medical genetics are reviewed. Then, an analysis of gene expression data and the application to the characterization of microbial communities are highlighted. At the protein level, two types of analyses for mass spectrometry data are reviewed, labeled quantitative proteomics and lipidomics, followed by protein sequence analysis and a 3D structure and drug design chapter. Finally, three chapters on clinical applications focus on the integration of biomolecular and clinical data for cancer research, biomarker discovery, and network-based methods for computational diagnostics."

"Rapid progress in health research has led to generation of new knowledge and innovative practices in management of illness. This has resulted in a significant challenge for health professionals, if today we discovered a new therapy through research, when will this discovery be regularly prescribed or utilized to treat all patients suffering from this condition? Knowledge translation is the non-linear and often complicated process of translating knowledge into routine health practices. Technology enabled knowledge translation (TEKT) is the use of information and communication technologies (ICT) to accelerate knowledge translation. With the ubiquity of the internet, the proliferation of different approaches in communication and social networking, and the continuously improving technologies from netbooks to smartphones, there are rich opportunities for TEKT in health education, service delivery, and research."