HIPAAChecker: The Comprehensive Solution for HIPAA Compliance in Android mHealth Apps

• URL: http://arxiv.org/abs/2306.06448v1
• Date: Sat, 10 Jun 2023 14:03:59 GMT
• Title: HIPAAChecker: The Comprehensive Solution for HIPAA Compliance in Android mHealth Apps
• Authors: Bilash Saha, Sharaban Tahora, Abdul Barek, Hossain Shahriar
• Abstract summary: The proliferation of mobile health technology, or mHealth apps, has necessitated the paramount importance of safeguarding personal health records. Many mobile app developers, including those of mHealth apps, are not fully cognizant of the HIPAA security and privacy guidelines. This presents a unique opportunity for research to develop an analytical framework that can aid developers in maintaining a secure and HIPAA-compliant source code.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The proliferation of mobile health technology, or mHealth apps, has necessitated the paramount importance of safeguarding personal health records. These digital platforms afford individuals the ability to effortlessly monitor and manage their health-related issues, as well as store, share, and access their medical records and treatment information. As the utilization of mHealth apps becomes increasingly widespread, it is imperative to ensure that protected health information (PHI) is effectively and securely transmitted, received, created, and maintained in accordance with the regulations set forth by the Health Insurance Portability and Accountability Act (HIPAA). However, it is unfortunate to note that many mobile app developers, including those of mHealth apps, are not fully cognizant of the HIPAA security and privacy guidelines. This presents a unique opportunity for research to develop an analytical framework that can aid developers in maintaining a secure and HIPAA-compliant source code, while also raising awareness among consumers about the privacy and security of sensitive health information. The plan is to develop a framework which will serve as the foundation for developing an integrated development environment (IDE) plugin for mHealth app developers and a web-based interface for mHealth app consumers. This will help developers identify and address HIPAA compliance issues during the development process and provide consumers with a tool to evaluate the privacy and security of mHealth apps before downloading and using them. The goal is to encourage the development of secure and compliant mHealth apps that safeguard personal health information.

Related papers

• Balancing Patient Privacy and Health Data Security: The Role of Compliance in Protected Health Information (PHI) Sharing [0.312488427986006]
  Protected Health Information (PHI) sharing significantly enhances patient care quality and coordination, contributing to more accurate diagnoses, efficient treatment plans, and a comprehensive understanding of patient history. Compliance with strict privacy and security policies, such as those required by laws like HIPAA, is critical to protect PHI. We propose a blockchain technology that integrates smart contracts to partially automate consent-related processes and ensuring that PHI access and sharing follow patient preferences and legal requirements.
  arXiv  Detail & Related papers  (2024-07-03T02:49:33Z)
• A Qualitative Analysis Framework for mHealth Privacy Practices [0.0]
  This paper introduces a novel framework for the qualitative evaluation of privacy practices in mHealth apps. Our investigation encompasses an analysis of 152 leading mHealth apps on the Android platform. Our findings indicate persistent issues with negligence and misuse of sensitive user information.
  arXiv  Detail & Related papers  (2024-05-28T08:57:52Z)
• White paper on cybersecurity in the healthcare sector. The HEIR solution [1.3717071154980571]
  Patient data, including medical records and financial information, are at risk, potentially leading to identity theft and patient safety concerns. The HEIR project offers a comprehensive cybersecurity approach, promoting security features from various regulatory frameworks. These measures aim to enhance digital health security and protect sensitive patient data while facilitating secure data access and privacy-aware techniques.
  arXiv  Detail & Related papers  (2023-10-16T07:27:57Z)
• Blockchain-empowered Federated Learning for Healthcare Metaverses: User-centric Incentive Mechanism with Optimal Data Freshness [66.3982155172418]
  We first design a user-centric privacy-preserving framework based on decentralized Federated Learning (FL) for healthcare metaverses. We then utilize Age of Information (AoI) as an effective data-freshness metric and propose an AoI-based contract theory model under Prospect Theory (PT) to motivate sensing data sharing.
  arXiv  Detail & Related papers  (2023-07-29T12:54:03Z)
• A Comprehensive Picture of Factors Affecting User Willingness to Use Mobile Health Applications [62.60524178293434]
  The aim of this paper is to investigate the factors that influence user acceptance of mHealth apps. Users' digital literacy has the strongest impact on their willingness to use them, followed by their online habit of sharing personal information. Users' demographic background, such as their country of residence, age, ethnicity, and education, has a significant moderating effect.
  arXiv  Detail & Related papers  (2023-05-10T08:11:21Z)
• The Design and Implementation of a National AI Platform for Public Healthcare in Italy: Implications for Semantics and Interoperability [62.997667081978825]
  The Italian National Health Service is adopting Artificial Intelligence through its technical agencies. Such a vast programme requires special care in formalising the knowledge domain. Questions have been raised about the impact that AI could have on patients, practitioners, and health systems.
  arXiv  Detail & Related papers  (2023-04-24T08:00:02Z)
• User-Centric Health Data Using Self-sovereign Identities [69.50862982117127]
  This article presents the potential use of the issuers Self-Sovereign Identities (SSI) and Distributed Ledger Technologies (DLT) to improve the privacy and control of health data. The paper lists the prominent use cases of decentralized identities in the health area, and discusses an effective blockchain-based architecture.
  arXiv  Detail & Related papers  (2021-07-26T17:09:52Z)
• Using a Personal Health Library-Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data [0.11470070927586014]
  This paper reports the implementation of a mobile health digital intervention that incorporates both digital health data stored in patients PHLs and other sources of contextual knowledge. We describe the technological infrastructures used to construct, manage, and integrate the types of knowledge stored in the PHL. The proposed PHL helps patients and their caregivers take a central role in making decisions regarding their health.
  arXiv  Detail & Related papers  (2021-03-16T20:43:17Z)
• Assessing the Severity of Health States based on Social Media Posts [62.52087340582502]
  We propose a multiview learning framework that models both the textual content as well as contextual-information to assess the severity of the user's health state. The diverse NLU views demonstrate its effectiveness on both the tasks and as well as on the individual disease to assess a user's health.
  arXiv  Detail & Related papers  (2020-09-21T03:45:14Z)
• An Empirical Study on Developing Secure Mobile Health Apps: The Developers Perspective [0.0]
  MHealth apps (mHealth apps for short) are becoming integral part of mobile and pervasive computing to improve the availability and quality of healthcare services. Despite the offered benefits, mHealth apps face a critical challenge, i.e., security of health critical data that is produced and consumed by the app. Several studies have revealed that security specific issues of mHealth apps have not been adequately addressed.
  arXiv  Detail & Related papers  (2020-08-07T08:23:21Z)
• Digital Ariadne: Citizen Empowerment for Epidemic Control [55.41644538483948]
  The COVID-19 crisis represents the most dangerous threat to public health since the H1N1 pandemic of 1918. Technology-assisted location and contact tracing, if broadly adopted, may help limit the spread of infectious diseases. We present a tool, called 'diAry' or 'digital Ariadne', based on voluntary location and Bluetooth tracking on personal devices.
  arXiv  Detail & Related papers  (2020-04-16T15:53:42Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.