Patient confidentiality, data security, and provider liabilities in diabetes management.

Background: Telemedicine, facilitating medical services remotely, introduces ethical concerns. Safeguarding patient data, ensuring informed consent, addressing access disparities, and managing biases in artificial intelligence-driven diagnoses are critical. Navigating these challenges ethically is essential for harnessing telemedicine benefits while upholding patient trust and welfare. Objective: To ascertain the primary obstacles affecting global telemedicine practice, including issues concerning patient confidentiality, privacy, autonomy, informed consent, and data security. Methodology: Conducted a systematic literature review, for which we searched two databases (Pubmed and Google Scholar) between January 2018 to December 2022. Broad terms such as ethical issues, legal issues, health care providers were used as keyword searches. The authors used a narrative approach according to PRISMA guidelines 2020 (Checklist). The authors did a qualitative synthesis of selected studies according to inclusion criteria. The inclusion criteria required articles that reported ethical and legal concerns associated with the use of telemedicine; the full texts articles were electronically available and published in English. Systematic reviews and papers in other languages are not a part of the study. Results: Results showed that most reported ethical and legal concerns were related to privacy and confidentiality, followed by informed consent, patient autonomy and data security. From the 16 papers reviewed, authors identified or discussed the following ethical concerns faced by healthcare professionals during the use of telemedicine: patient privacy was addressed in 75% (n = 12/16) studies, informed consent 56.25% (n = 9/16), patient autonomy 31.25% (n = 5/16), data security 25% (n = 4/16). Conclusions: In the dynamic landscape of telemedicine, healthcare providers and policy makers play pivotal roles in addressing its ethical and legal concerns. Collaborative efforts are essential to establish clear guidelines, secure patient data, ensure informed consent, and create adaptable regulations, fostering a responsible and effective telemedicine ecosystem.

In a rapidly evolving healthcare landscape, the prospects for big data analytics to enhance patient outcomes, disease management, and healthcare performance are immense. However, this transformation doesn't come without a big caveat: privacy of patients and security of data. This chapter depicts a qualitative study by comprehensive literature review, expert interviews, surveys, document analyses, and case studies. During this time whereby big data analytics is front and centre, there is a need for a deeper understanding of the risks and perhaps benefits one may experience while trying to protect patient data. The research contributes a conceptual framework outlining key factors and strategies in patient data security and privacy, offering actionable recommendations for healthcare organizations, policymakers, and data custodians. It underscores the necessity of proactive measures to mitigate risks, enhance data security, and preserve patient trust in the burgeoning field of big data healthcare applications.

The fast growth of digital health tools has changed the way healthcare is provided, making it easier for both people and healthcare workers to get the care they need and more efficient. On the other side, digitising health data seriously compromises patient privacy and data security. The various hazards resulting from violations of data privacy in digital health records are discussed in this article. It emphasises the larger picture for healthcare systems and how these breaches can compromise patient privacy. Patient data is saved and distributed across many platforms as Electronic Health Records (EHRs), cloud computing, and telemedicine become more and more common. This article discusses typical hazards that could lead to unauthorised sharing of private medical records. These cover technological problems in healthcare information systems, insiders, and hackers. The General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA) among other laws, norms, and ethics aimed to safeguard patient data are discussed as well. Making ensuring health data is kept, shared, and accessed securely remains difficult even with current initiatives. Furthermore discussed in this study are many approaches to safeguard patient data including encryption, multi-factor login, and very strong safety measures. Finally, it emphasises how crucial it is for healthcare institutions to have a thorough data security strategy in place so as to establish patient confidence and guarantee adherence to all policies. Keeping data privacy current as digital health technologies evolve helps to safeguard patient privacy and maintain seamless operations of healthcare systems.

E-Health involves new forms of patient-physician interaction and poses new ethical challenges and threats to patient privacy. This paper reviews Health On the Net Foundation Code of Conduct (HONcode) accredited e-Health websites that provide online appointment services in the U.S.A for compliance with basic principles of security and privacy. We found that 20 of 30 HON sites we reviewed are secure sites but only 8 of 20 secure sites state that it is secure. Most HON sites require patients to submit confidential data. 12 of 30 websites do not display privacy notice on the web appointment request page. The reading level might be a problem for the patients who have lower educational background to understand the privacy notice. Regulations and guidelines do not ensure that privacy protection and data security is done appropriately or well. More attention to security methods and procedures is needed to safeguard patients 'privacy rights.

Blockchain Technology for Ophthalmology: Coming of Age?

Increasing demands on healthcare require greater efficiencies in communications and services, particularly in rural areas. E-communications may improve clinic efficiency and delivery of healthcare but raises concerns about patient privacy and data security. We conducted an environmental scan at one family health team clinic, a high-volume interdisciplinary primary care practice in rural southwestern Ontario, Canada, to determine the feasibility of implementing an e-communications system between its patients and staff. A total of 28 qualitative interviews were conducted (with six physicians, four phone nurses, four physicians' nurses, five receptionists, one business office attendant, five patients, and three pharmacists who provide care to the clinic's patients) along with quantitative surveys of 131 clinic patients. Findings Patients reported using the internet regularly for multiple purposes. Patients indicated they would use email to communicate with their family doctor for prescription refills (65% of respondents), appointment booking (63%), obtaining lab results (60%), and education (50%). Clinic staff expressed concerns about patient confidentiality and data security, the timeliness, complexity and responsibility of responses, and increased workload. Clinic staff members are willing to use an e-communications system but clear guidelines are needed for successful adoption and to maintain privacy of patient health data. E-communications might improve access to and quality of care in rural primary care practices.

Safe and Secure? Healthcare in The Cyberworld

Patients' rights for privacy and confidentiality extend to publications. This author describes how authors, reviewers, and editors can ensure patient confidentiality in manuscripts.

From Hippocrates to HIPAA: Privacy and confidentiality in Emergency Medicine—Part I: Conceptual, moral, and legal foundations

Confidentiality and security of patient data in hospitals is very important and data protection is mandatory. In this study, a problem was found, namely that there was no guarantee of protecting the security and confidentiality of patient data which allowed the data to leak. This study aims to design an information technology-based medical record governance system to maintain the confidentiality and security of patient data. The research technique uses a qualitative methodology with a descriptive approach and collects data through observation, interviews and literature studies. While the waterfall method is used to develop the system through the stages of needs analysis, design, implementation and testing. The system design was carried out using Microsoft Visual Studio 2010 which was implemented using the AES (Advanced Encryption Standard) Rijndael cryptography algorithm. The results of the research that has been done are obtained that the existence of information technology-based medical record governance in handling the confidentiality and security of patient data using AES cryptography can increase the confidentiality and security of patient data in medical record management.

The Blockchain-based Electronic Health Record (B-EHR) system represents a significant advancement in healthcare data management. Concerns over data confidentiality and security have become increasingly critical in the healthcare sector, given the need for immediate data accessibility. Traditional centralized systems face accessibility issues, necessitating a transformative solution, and blockchain technology emerges as a promising candidate. This research introduces a patient-controlled, blockchain-based system that efficiently manages and safeguards individuals' health-related data. By harnessing the Ethereum network and utilizing tools such as Ganache, Solidity, and web3.js, this system takes a systematic approach to overcome the limitations of centralized systems. Smart contracts, the basis of blockchain technology, serve as the backbone for storing and processing patients' data in a decentralized manner. Transactions are conducted securely through these smart contracts, ensuring patient privacy and data security. Notably, any modifications to transactions can be verified and propagated across the entire distributed network, enhancing data integrity. Complementing this system is a cryptocurrency wallet like MetaMask, providing a centrally controlled repository where records can be swiftly accessed and secured by authorized individuals, including doctors and patients. This integration significantly improves data accessibility and security within the healthcare domain. Ultimately, this research aims to leverage blockchain technology for simultaneous data retrieval, enhancing efficiency, credibility, and accessibility. It offers a robust framework for securely storing data with tailored access permissions and facilitates the safe transfer of patient medical records. In essence, it introduces a swift and secure health record system and an innovative protocol, promoting greater transparency and ownership of sensitive data in the healthcare sector through blockchain integration.

Artificial intelligence (AI) holds immense potential to revolutionize dental care, offering advancements in diagnostic accuracy, personalized treatments, and overall patient outcomes. However, AI's ability to deliver these benefits hinges on the availability of large, high-quality datasets, especially electronic patient records (EPR). These records, encompassing diagnostic images, treatment histories, patient demographics, and clinical outcomes, are critical for training AI models to enhance clinical decision-making. However, as the demand for data grows, so do the ethical concerns surrounding its collection and use. Ethical Challenges in Data Collection While the benefits of AI in dentistry are undeniable, collecting and using patient data for training AI models raises several ethical challenges that must be addressed Patient Privacy and Consent: Informed consent is essential before patient data can be used for AI training. Patients must fully understand how their data will be utilized, with strict adherence to privacy regulations such as HIPAA (USA) or GDPR (EU). Data Ownership: Determining clear ownership of patient data—whether it belongs to patients, healthcare providers, or third parties—is crucial. This ensures ethical use in AI research while protecting patient autonomy. Bias and Fairness: AI models can be skewed by biased or unrepresentative data, leading to unfair outcomes for marginalized or underserved patient groups. Transparency and Accountability: The integration of AI in dentistry demands transparency in how models are trained and deployed. Accountability mechanisms must be in place to address errors and prioritize patient safety and well-being. Balancing Innovation with Ethics Dental professionals, researchers, and policymakers must collaborate to create a framework that ensures data is collected, used, and protected responsibly. To leverage AI’s potential while addressing these ethical concerns, several strategies can be adopted: Anonymization of Patient Data: One way to protect patient privacy while still allowing data to be used for AI training is to anonymize patient records. This ensures that individual identities are kept confidential while still providing valuable data for research and development. Clear Ethical Guidelines: There is an urgent need for standardized guidelines regarding the ethical collection, use, and sharing of patient data in AI training. These guidelines should prioritize patient rights, data security, and fairness in AI development. Patient Education: Raising awareness among patients about the benefits and risks of sharing their data for AI purposes is crucial. Clear communication can foster trust and allow patients to make informed decisions about their participation. The future of dentistry lies in harnessing AI-driven insights for diagnostic precision and personalized treatment plans. However, its success depends on effectively navigating the ethical complexities of data use. By responsibly utilizing EPRs, we can achieve transformative advancements in dental care while maintaining the trust and confidentiality of the patients we serve.

This study discusses the legal and ethical challenges related to digital health data privacy in the context of telemedicine, with a focus on patient rights protection and data security. Along with the development of technology and the widespread use of telemedicine, the issue of health data privacy has become increasingly complex. This study uses a qualitative approach with literature study and library research methods to examine existing academic perspectives related to legal and ethical aspects in digital health data management. Through a review of the current literature and case studies, this article identifies the key challenges faced, including the risk of privacy breaches, concerns related to third-party access, and the potential imbalance between the need for accurate health data and the protection of patient privacy. The study also highlights the importance of adaptive regulation as well as a rigorous ethical framework to ensure that health data security is maintained without compromising patient rights. These findings underscore that solutions that combine strong privacy policies, encryption technologies, and transparency in data management are key in navigating data privacy challenges in the field of telemedicine. This research contributes to a deeper understanding of the legal and ethical challenges in the field of digital health data privacy as well as recommendations for policymakers and health practitioners in safeguarding patient rights in the digital age.

To The Editor We read with interest the article “Smartphone apps for Orthopaedic Surgeons” by Franko in the July 2011 issue of CORR® [5]. We welcome any technology that would augment surgical training and lead to prudent use of time and resources, and even more so in the UK health system. The introduction of the European Working Time Directive [2] has meant shortening of total time spent in training. Although Franko reported that there are few specific highly ranked orthopaedic apps available [5], we think there are numerous applications that may be used to meet the needs of an orthopaedic trainee. Anatomy is the fundamental basis of surgery, and titles such as Grays Anatomy for Students [3], Instant Anatomy [11], Netter’s Atlas of Human Anatomy [8], and others are available as apps in various formats such as flashcards, three-dimensional animation, quizzes, video lectures, and podcasts. Pastest (PasTest Ltd., Knutsford, Cheshire, United Kingdom) also produces a handy revision application that allows access to question banks and podcasts via the smartphone or iPad (Apple Inc, Cupertino, CA), but it requires an existing subscription. AO Surgery Reference (AO Foundation, Davos. Switzerland) is a free comprehensive trauma application. It discusses fracture diagnosis, classification, management of the fracture and the surgical approach to the area in question. The app also explains the evidence basis behind management options. Campbell’s Operative Orthopaedics [1] also has an app that includes images and videos for 242 trauma and elective procedures. CORE (Clinically Relevant Technologies, Philadelphia, PA, USA) is a clinical examination application that uses images, video, and text to show techniques and diagnostic tests and is ideal for clinical examinations and revision. Surgical Instrument app (DD Surgical LLC, Allentown, PA, USA) teaches commonly used surgical instruments via a game. Furthermore the popular resource Orthobullets [9], which has comprehensive information for trauma, elective subspecialties, anatomy, physiology, pathology, and an extensive question bank, is aimed at senior trainees preparing for postgraduate examinations. Orthobullets is free and has a mobile version of its desktop site and is in the process of developing an app. The Kindle app (Amazon Mobile LLC, Seattle, WA, USA) allows many books available on Amazon to be available as ebooks on a smartphone or tablet device. Thus popular titles such as Review of Orthopaedics [7], Netter’s Concise Orthopaedic Anatomy [10], and other books that do not have apps are available on your smartphone. Other useful applications include the Oxford Handbook of Clinical Surgery [6] and the British National Formulary (MedHand International AB, London, UK) which are useful in perioperative and postoperative management of patients, especially for junior doctors. The Journal of Bone and Joint Surgery and many other journals are available as apps, which are useful at numerous levels, but often require a subscription, but provide free abstracts. The eLogbook [4] is an integral part of British surgical training, and Mobile eLogbook app (NR IT LTD, Gravesend, Kent, United Kingdom) that can be used to store and upload operation data to this website is available. Other functions of a smartphone include internet connectivity, email, calculator, camera, voice recording and dictation, and calendar can facilitate organization, administration, and communication between professionals. Many smartphones also can store policies and procedures specific to one’s local hospital. Finally, the use of certain apps and functions of smartphones can be fraught with danger regarding medicolegal and ethical issues. The Mobile eLogbook is one such app that stores patient data such as hospital number, age, sex, date of birth, and operative details. The app has enhanced security in place for users to be sure that patient confidentiality and data are protected. Other functions of a smartphone such as the use of the camera, video, and email have the propensity to breach patient data and confidentiality. Thus, surgeons must remain vigilant as power comes with responsibility, and patient confidentiality and data, and the surgeon’s integrity and professionalism must be safeguarded when using new technologies.

Notification scheduling systems have been an important way to integrate into health care to advance patient outcomes. This approach implies that alerts, reminders, and notifications are delivered gracefully to patients, healthcare providers, and caregivers to improve medication adherence, reduce hospital readmissions, and enhance patient engagement. While such systems provide good benefits, they also involve risks regarding patient privacy and data security. Notification scheduling plays a very important role in healthcare, and this article focuses on why having notification scheduling can enhance patient care and improve outcomes by way of communicating with patients in the most personalized and timely manner possible. The significance of the regulatory standards for healthcare communication is delineated within the paper regarding HIPAA and GDPR, which are imperative for safeguarding patient data. It as well describes the significance of end-to-end and data-at-rest encryption in guarding sensitive health information during transmission and storage. The article discusses the calibration of such strategies, which must be noninvasive and notify users correctly. It has to cover optimizing personalized content, timing, and frequency. It also examines using the existing emergent AI and machine learning technologies to upgrade notification scheduling systems through predictive analytics and personalized notifications. These systems have shown the benefit of reducing medication errors and improving chronic disease management and preventive care. The paper ends by mentioning the future possibilities that notification scheduling can bring us, advancements in wearable devices and telemedicine integration, and the challenges that still need to be solved for patient privacy and data security.