Gotowe bibliografie tematyczne / Healthcare Privacy

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Gotowa bibliografia na temat „Healthcare Privacy”

Autor: Grafiati

Data publikacji: 7 czerwca 2025

Data aktualizacji: 2 sierpnia 2025

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Artykuły w czasopismach na temat "Healthcare Privacy"

Iyengar, Arun, Ashish Kundu, and George Pallis. "Healthcare Informatics and Privacy." IEEE Internet Computing 22, no. 2 (2018): 29–31. http://dx.doi.org/10.1109/mic.2018.022021660.

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Lewitz, Joel A. "Speech privacy for healthcare." Journal of the Acoustical Society of America 116, no. 4 (2004): 2612. http://dx.doi.org/10.1121/1.4785417.

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Marak, Trealindora, Labianglang Sohkhlet, and Upasana Das. "BLOCKCHAIN-BASED HEALTHCARE RECORD MANAGEMENT SYSTEM." International Journal of Engineering Applied Sciences and Technology 6, no. 9 (2022): 288–95. http://dx.doi.org/10.33564/ijeast.2022.v06i09.042.

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Blockchain is an engrossing research field area to introduce in the healthcare sector due to its security, privacy, confidentiality and decentralization. In Blockchain-based systems, data and authority can be distributed, and transparent and reliable transaction ledgers created. Privacy-enabling approaches for Blockchain have been introduced, such as private blockchains, and methods for enabling parties to act pseudonymously. We explore a set of proposed uses of Blockchain within cyber security and consider their requirements for privacy. We compare these requirements with the privacy provisio

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Alalouch, Chaham, Peter A. Aspinall, and Harry Smith. "Design Criteria for Privacy-Sensitive Healthcare Buildings." International Journal of Engineering and Technology 8, no. 1 (2016): 32–39. http://dx.doi.org/10.7763/ijet.2016.v6.854.

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Abdul Manap, Nazura, Mohamad Rizal Abd Rahman, and Siti Nur Farah Atiqah Salleh. "HEALTH DATA OWNERSHIP IN MALAYSIA PUBLIC AND PRIVATE HEALTHCARE: A LEGAL ANALYSIS OF HEALTH DATA PRIVACY IN THE AGE OF BIG DATA." International Journal of Law, Government and Communication 7, no. 30 (2022): 33–41. http://dx.doi.org/10.35631/ijlgc.730004.

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Health data ownership in big data is a new legal issue. The problem stands between the public and private healthcare as the main proprietor of health data. In Malaysia, health data ownership is under government hospitals and private healthcare jurisdictions. Who owns the data will be responsible for safeguarding it, including its privacy. Various technical methods are applied to protect health data, such as aggregation and anonymization. The thing is, do these technical methods are still reliable to safeguard privacy in big data? In terms of legal protection, private healthcare is governed und

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Pasupuleti, Murali Krishna. "Privacy-Preserving Data Sharing Using Differential Privacy in Healthcare." International Journal of Academic and Industrial Research Innovations(IJAIRI) 05, no. 06 (2025): 386–98. https://doi.org/10.62311/nesx/rphcrcscrcp2.

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Abstract: This study evaluates the effectiveness of differential privacy (DP) techniques for privacy-preserving data sharing in healthcare environments. Healthcare data is highly sensitive, making data sharing both a valuable and risky endeavor. Traditional anonymization techniques fail to provide sufficient guarantees against re-identification attacks, particularly in high-dimensional datasets. Differential privacy offers mathematically rigorous privacy guarantees while enabling data utility. Using real-world healthcare datasets, the proposed approach evaluates the trade-off between privacy b

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Tocci, Gregory C., and David Sykes. "Speech privacy in healthcare facilities." Journal of the Acoustical Society of America 122, no. 5 (2007): 3027. http://dx.doi.org/10.1121/1.2942825.

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D Kavitha. "Preserving Privacy of IoT Healthcare Data using Differential Privacy and LSTM." Journal of Electrical Systems 20, no. 7s (2024): 2483–92. http://dx.doi.org/10.52783/jes.4071.

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The Internet of Things (IoT) is a powerful technology creating revolutions in multiple industries for ex: Traffic and Healthcare domains. The patient data collected by continuous monitoring using IoT will support in treating the patients and make a positive impact on patients' well-being and increase the efficiency of healthcare workers. It is crucial to be aware of certain drawbacks and risks associated with protecting the privacy of the patient data which is one of the major problems being faced in the healthcare domain. Harmful individuals/Agencies will use IoT devices to obtain private dat

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D. Rajalakshmi, Et al. "HealthBlock: A Blockchain-IoT Fusion for Secure Healthcare Data Exchange." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 2018–23. http://dx.doi.org/10.17762/ijritcc.v11i9.9199.

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Managing healthcare data while ensuring its security and privacy is critical to providing quality care to patients. However, traditional approaches to healthcare data sharing have limitations, including the risk of data breaches and the lack of privacy-preserving mechanisms. This research paper proposes a novel hybrid blockchain-IoT approach for privacy-preserving healthcare data sharing that addresses these challenges. Our system incorporates a private blockchain for protected and tamper-proof data sharing, with privacy-preserving techniques such as differential privacy and homomorphic encryp

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Rozprawy doktorskie na temat "Healthcare Privacy"

Smith, Tanshanika Turner. "Examining Data Privacy Breaches in Healthcare." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2623.

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Healthcare data can contain sensitive, personal, and confidential information that should remain secure. Despite the efforts to protect patient data, security breaches occur and may result in fraud, identity theft, and other damages. Grounded in the theoretical backdrop of integrated system theory, the purpose of this study was to determine the association between data privacy breaches, data storage locations, business associates, covered entities, and number of individuals affected. Study data consisted of secondary breach information retrieved from the Department of Health and Human Services

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Ganta, Srivatsava Ranjit Acharya Rajgopal Sundaraj. "Fusion-aware privacy andwarehousing for healthcare databases." [University Park, Pa.] : Pennsylvania State University, 2009. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-3567/index.html.

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Harvey, Brett D. "A code of practice for practitioners in private healthcare: a privacy perspective." Thesis, Nelson Mandela Metropolitan University, 2007. http://hdl.handle.net/10948/521.

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Whereas there are various initiatives to standardize the storage, processing and use of electronic patient information in the South African health sector, the sector is fragmented through the adoption of various approaches on national, provincial and district levels. Divergent IT systems are used in the public and private health sectors (“Recommendations of the Committee on …” 2003). Furthermore, general practitioners in some parts of the country still use paper as a primary means of documentation and storage. Nonetheless, the use of computerized systems is increasing, even in the most remote

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An, Nan. "Protect Data Privacy in E-Healthcare in Sweden." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1619.

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<p>Sweden healthcare adopted much ICT (information and communication technology). It is a highly information intensive place. This thesis gives a brief description of the background of healthcare in Sweden and ICT adoption in healthcare, introduces an Information system security model, describes the technology and law about data privacy and carries out a case through questionnaire and interview.</p>

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Yesmin, Sabina. "Mobile Application for Secure Healthcare System." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-127456.

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Usage of mobile applications and wireless networks is growing rapidly at different sectors in the world. Mobile healthcare application is devotedly accepted by the healthcare organizations and also by patients. The reasons behind accepting mobile healthcare applications are as user friendly, reliable, low cost, time efficient, mobility etc. Though the use of mobile applications is rising day by day in the healthcare sectors still those applications are not completely secure to prevent disclosure and misuse of patient’s sensitive data. However, security issues in healthcare applications get att

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Neuhaus, Christian, Andreas Polze, and Mohammad M. R. Chowdhuryy. "Survey on healthcare IT systems : standards, regulations and security." Universität Potsdam, 2011. http://opus.kobv.de/ubp/volltexte/2011/5146/.

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IT systems for healthcare are a complex and exciting field. One the one hand, there is a vast number of improvements and work alleviations that computers can bring to everyday healthcare. Some ways of treatment, diagnoses and organisational tasks were even made possible by computer usage in the first place. On the other hand, there are many factors that encumber computer usage and make development of IT systems for healthcare a challenging, sometimes even frustrating task. These factors are not solely technology-related, but just as well social or economical conditions. This report describes s

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Friedman, Laurie A. "Patient Experience of Privacy while Participating in Group Healthcare: A Phenomenographic Description." Thesis, Boston College, 2015. http://hdl.handle.net/2345/bc-ir:104883.

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Thesis advisor: Danny G. Willis<br>Purpose: The purpose of this qualitative research was to describe the phenomenon of privacy as experienced and conceptualized by patients who participated in the CenteringPregnancy model of group healthcare. Background: In healthcare, privacy is an ethical and legal right. Healthcare providers have an obligation to protect patient privacy and confidentiality. Group healthcare is an innovative approach that brings together a group of patients with a team of providers, offering the opportunity for holistic, integrated, and coordinated healthcare. Group healthca

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Jellen, Isabel. "Towards Security and Privacy in Networked Medical Devices and Electronic Healthcare Systems." DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2141.

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E-health is a growing eld which utilizes wireless sensor networks to enable access to effective and efficient healthcare services and provide patient monitoring to enable early detection and treatment of health conditions. Due to the proliferation of e-health systems, security and privacy have become critical issues in preventing data falsification, unauthorized access to the system, or eavesdropping on sensitive health data. Furthermore, due to the intrinsic limitations of many wireless medical devices, including low power and limited computational resources, security and device performance c

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de, Lavaine Scarlette. "The age of consent: digital photography and privacy in general healthcare practice." Thesis, de Lavaine, Scarlette (2016) The age of consent: digital photography and privacy in general healthcare practice. Honours thesis, Murdoch University, 2016. https://researchrepository.murdoch.edu.au/id/eprint/35142/.

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Digital photography can be invaluable in visually oriented medical practice. Providing a visual record, digital photographs aid diagnosis, monitor change and quantify response to therapy. Incorporating digital photography into general practice is growing easier. Widespread ownership of smartphones with inbuilt cameras has stimulated this practice. Smartphone cameras are simple and familiar to use, capture high resolution images that enhance the medical record, expedite advice and, ultimately, can improve patient care. The development and use of the smartphone is part of a broad wave of acce

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Saleh, Yasmine. "A study of privacy-preserving mechanisms for wireless multimedia sensor networks in healthcare." Thesis, Staffordshire University, 2018. http://eprints.staffs.ac.uk/4833/.

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Although the importance of privacy is well-acknowledged for sensitive data, a significant research effort is still needed to develop robust privacy protection solutions for Wireless Sensor Networks (WSNs) used in the context of healthcare. The focus of this doctoral research is to investigate privacy-preserving mechanisms for Wireless Multimedia Sensor Networks (WMSNs) for use in healthcare, to ensure privacy-aware transmission (from sensors to the base station) of multimedia data captured for healthcare. Towards achieving the goal stated above, the following research questions are addressed i

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Książki na temat "Healthcare Privacy"

Robichau, Bernard Peter. Healthcare Information Privacy and Security. Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6677-8.

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Elngar, Ahmed, Ambika Pawar, and Prathamesh Churi. Data Protection and Privacy in Healthcare. Edited by Ahmed Elngar, Ambika Pawar, and Prathamesh Churi. CRC Press, 2021. http://dx.doi.org/10.1201/9781003048848.

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Zhang, Kuan, and Xuemin Shen. Security and Privacy for Mobile Healthcare Networks. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24717-5.

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Tomes, Jonathan P. Healthcare privacy & confidentiality: The complete legal guide. Probus, 1994.

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Koontz, Linda D. Information privacy in the evolving healthcare environment. HIMSS, 2013.

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Zhu, Dan, Dengguo Feng, and Xuemin Shen. Privacy-Preserving Techniques with e-Healthcare Applications. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-76922-1.

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Singh, Anuj Kumar, and Sachin Kumar. Security, Privacy, and Trust in WBANs and E-Healthcare. CRC Press, 2024. http://dx.doi.org/10.1201/9781032635101.

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Vajjhala, Narasimha Rao, Edlira Martiri, Fisnik Dalipi, and Bian Yang, eds. Artificial Intelligence in Healthcare Information Systems—Security and Privacy Challenges. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-84404-1.

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Brzezinski, Robert K. HIPAA privacy and security compliance - simplified: Practical guide for healthcare providers and practice managers. 2nd ed. BizWit LLC, 2014.

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Trinckes, Jr., John J. How Healthcare Data Privacy Is Almost Dead ... and What Can Be Done to Revive It! Auerbach Publications, 2017. http://dx.doi.org/10.1201/9781315270692.

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Części książek na temat "Healthcare Privacy"

Motti, Vivian Genaro, and Shlomo Berkovsky. "Healthcare Privacy." In Modern Socio-Technical Perspectives on Privacy. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-82786-1_10.

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AbstractAs healthcare shifts towards the digital realm and healthcare delivery steers to patient-centric solutions, new privacy risks emerge. Such risks are acknowledged, but understanding and addressing them with privacy-enhanced technologies is practically challenging. This chapter describes privacy concerns and risks that emerge with the digitization of healthcare services, the availability of Internet-of-care-things, and the usage of online services for medical data. To ensure patients’ privacy, collaborative efforts from stakeholders are necessary. Patients, practitioners, and family memb

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Williams, Drew, Ivor Addo, Golam Mushih Tanimul Ahsan, Farzana Rahman, Chandana Tamma, and Sheikh Iqbal Ahamed. "Privacy in Healthcare." In Computer Communications and Networks. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08470-1_5.

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Brusil, Paul. "Healthcare Security and Privacy." In Computer Security Handbook. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781118820650.ch71.

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Ebeling, Mary F. E. "Privacy and Data Phantoms." In Healthcare and Big Data. Palgrave Macmillan US, 2016. http://dx.doi.org/10.1057/978-1-137-50221-6_3.

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Singleton, Peter, and Dipak Kalra. "Trust and Privacy in Healthcare." In Future of Trust in Computing. Vieweg+Teubner, 2009. http://dx.doi.org/10.1007/978-3-8348-9324-6_12.

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Bhamare, Mamta, Pradnya V. Kulkarni, Sarika Bobde, and Rachana Y. Patil. "Strengthening Healthcare Security and Privacy." In Cybersecurity and Data Science Innovations for Sustainable Development of HEICC. CRC Press, 2024. https://doi.org/10.1201/9781032711300-7.

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Al-Kuwari, Saif. "Privacy-Preserving AI in Healthcare." In Multiple Perspectives on Artificial Intelligence in Healthcare. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67303-1_6.

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Garg, Disha. "Privacy in Cloud Healthcare Data." In Data Protection and Privacy in Healthcare. CRC Press, 2021. http://dx.doi.org/10.1201/9781003048848-2.

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Tamil Selvi, K., and R. Thamilselvan. "Privacy-preserving Healthcare Informatics using Federated Learning and Blockchain." In Healthcare 4.0. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003217435-1.

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Vijay, J. Antony, C. D. Prem Kumar, and B. Gomathi. "Secure and Privacy-Aware Intelligent Healthcare Systems: A Review." In Intelligent Healthcare. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8150-9_10.

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Streszczenia konferencji na temat "Healthcare Privacy"

Majre, Pawan Shankar, and Nikhita M. Chambhare. "Healthcare Data Security and Privacy." In 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). IEEE, 2024. https://doi.org/10.1109/idicaiei61867.2024.10842924.

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Rani, Shreenagamanjula, Roja Ramani, Sanjana Chinta, Sathvik S. Shet, and Shivani Biradar. "Advancing Healthcare Privacy with Homomorphic Encryption." In 2024 International Conference on Computational Intelligence for Security, Communication and Sustainable Development (CISCSD). IEEE, 2024. https://doi.org/10.1109/ciscsd63381.2024.00036.

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Telrandhe, Paras, and Shivani Makhijani. "AI for Healthcare Data Security and Privacy." In 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). IEEE, 2024. https://doi.org/10.1109/idicaiei61867.2024.10842836.

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Firdous Turak, Saniya, Abhishek Jadhao, and Shivani Makhijani. "AI Used in Healthcare and Data Privacy." In 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). IEEE, 2024. https://doi.org/10.1109/idicaiei61867.2024.10842810.

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Akter, Mahmuda, Nour Moustafa, and Benjamin Turnbull. "PEL: Privacy Embedded Learning in Smart Healthcare Systems." In 2024 21st Annual International Conference on Privacy, Security and Trust (PST). IEEE, 2024. https://doi.org/10.1109/pst62714.2024.10788041.

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Wang, Keke, Pengfei Lu, and Zhenghua Xin. "Research on Blockchain Privacy Preservation in Healthcare Systems." In 2025 11th International Symposium on System Security, Safety, and Reliability (ISSSR). IEEE, 2025. https://doi.org/10.1109/isssr65654.2025.00048.

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Dandu, Hemanth. "Federated Learning for Privacy-Preserving AI in Healthcare." In 2025 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS). IEEE, 2025. https://doi.org/10.1109/icssas66150.2025.11081017.

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Nayak, Surabhi, and Sara Nayak. "Exploring the Accuracy and Privacy Tradeoff in AI-Driven Healthcare Through Differential Privacy." In 11th International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013309500003899.

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V, Dilli Ganesh, R. M. Bommi, and Nandhini T J. "Enhancing Healthcare Data Security and Privacy through AI-Driven Encryption and Privacy-Preserving Techniques." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011747.

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Chaudhari, Archana Kedar, Prasad Prabhakar Mahajan, Viraj Anil Jadhav, and Raj Rajaram Kudtarkar. "Enhancing Patients Privacy in Healthcare Records with Blockchain Technology." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10726265.

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Raporty organizacyjne na temat "Healthcare Privacy"

Di Nuovo, Alessandro, Chris Elliott, Jims Marchang, Helen Meese, Samuele Vinanzi, and Massimiliano Zecca. Security and Privacy in Assistive Robotics:: Cybersecurity Challenges for Healthcare. EPSRC UK-RAS Network, 2023. http://dx.doi.org/10.31256/wp2023.1.

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Smeaton, John, and Lorna Christie. AI and healthcare. Parliamentary Office of Science and Technology, 2021. http://dx.doi.org/10.58248/pn637.

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There are various applications of Artificial Intelligence (AI) in healthcare, such as helping clinicians to make decisions, monitoring patient health, and automating routine administrative tasks. This POSTnote gives an overview of these uses, and their potential impacts on the cost and quality of healthcare, and on the workforce. It summarises the challenges to wider adoption of AI in healthcare, including those relating to safety, privacy, data-sharing, trust, accountability and health inequalities. It also outlines some of the regulations relevant to AI, and how these may change. As healthca

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Pasupuleti, Murali Krishna. Next-Generation Extended Reality (XR): A Unified Framework for Integrating AR, VR, and AI-driven Immersive Technologies. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv325.

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Abstract: Extended Reality (XR), encompassing Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR), is evolving into a transformative technology with applications in healthcare, education, industrial training, smart cities, and entertainment. This research presents a unified framework integrating AI-driven XR technologies with computer vision, deep learning, cloud computing, and 5G connectivity to enhance immersion, interactivity, and scalability. AI-powered neural rendering, real-time physics simulation, spatial computing, and gesture recognition enable more realistic and adap

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de Jesus, Ana, and Sara Melander. From Vision to Practice – Insights from Nordic-Baltic 5G applications across sectors. Nordregio, 2024. http://dx.doi.org/10.6027/r2024:111403-2503.

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This report builds on the findings of the Nordic-Baltic 5G Monitoring Tool (N-B 5G MT) project ‘Analytical Report’, which focused on mapping 5G activities in the Nordic-Baltic region and analysing their roll-out status. In this follow-up report, we delve deeper into actual 5G applications across different verticals (i.e. sectors), including healthcare, transportation/mobility, industry and media/broadcasting. The report identifies challenges in each sector, such as funding constraints in healthcare, technical hurdles in transportation, market immaturity in industry, and infrastructure investme

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Pasupuleti, Murali Krishna. AI-Driven Automation: Transforming Industry 5.0 withMachine Learning and Advanced Technologies. National Education Services, 2025. https://doi.org/10.62311/nesx/rr225.

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Abstract: This article delves into the transformative role of artificial intelligence (AI) and machine learning (ML) in shaping Industry 5.0, a paradigm centered on human- machine collaboration, sustainability, and resilient industrial ecosystems. Beginning with the evolution from Industry 4.0 to Industry 5.0, it examines core AI technologies, including predictive analytics, natural language processing, and computer vision, which drive advancements in manufacturing, quality control, and adaptive logistics. Key discussions include the integration of collaborative robots (cobots) that enhance hu

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Cantor, Amy G., Rebecca M. Jungbauer, Andrea C. Skelly, et al. Respectful Maternity Care: Dissemination and Implementation of Perinatal Safety Culture To Improve Equitable Maternal Healthcare Delivery and Outcomes. Agency for Healthcare Research and Quality (AHRQ), 2024. http://dx.doi.org/10.23970/ahrqepccer269.

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Objective. To summarize current research defining and measuring respectful maternity care (RMC) and evaluate the effectiveness of RMC and implementation strategies to improve health outcomes, particularly for populations at risk for health disparities. Data sources. Ovid MEDLINE®, Embase®, and Cochrane CENTRAL from inception to November 2022 and SocINDEX to July 2023; manual review of reference lists and responses to a Federal Register Notice. Review methods. Dual review of eligible abstracts and full-text articles using predefined criteria. Data abstraction and quality assessment dual reviewe

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Pasupuleti, Murali Krishna. Augmented Human Intelligence: Converging Generative AI, Quantum Computing, and XR for Enhanced Human-Machine Synergy. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv525.

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Abstract: Augmented Human Intelligence (AHI) represents a paradigm shift in human-AI collaboration, leveraging Generative AI, Quantum Computing, and Extended Reality (XR) to enhance cognitive capabilities, decision-making, and immersive interactions. Generative AI enables real-time knowledge augmentation, automated creativity, and adaptive learning, while Quantum Computing accelerates AI optimization, pattern recognition, and complex problem-solving. XR technologies provide intuitive, immersive environments for AI-driven collaboration, bridging the gap between digital and physical experiences.

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Curto, Vilsa, Liran Einav, Amy Finkelstein, Jonathan Levin, and Jay Bhattacharya. Healthcare Spending and Utilization in Public and Private Medicare. National Bureau of Economic Research, 2017. http://dx.doi.org/10.3386/w23090.

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Rosen, Michael, C. Matthew Stewart, Hadi Kharrazi, et al. Potential Harms Resulting From Patient-Clinician Real-Time Clinical Encounters Using Video-based Telehealth: A Rapid Evidence Review. Agency for Healthcare Research and Quality (AHRQ), 2023. http://dx.doi.org/10.23970/ahrqepc_mhs4telehealth.

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Objectives. To review the evidence on harms associated with patient-clinician real time encounters using video-based telehealth and determine the effectiveness of any related patient safety practices (PSPs). PSPs are interventions, strategies, or approaches intended to prevent or mitigate unintended consequences of healthcare delivery and improve patient safety. This review provides information that clinicians and health system leaders need to determine how to minimize harms from increasing real-time use of telehealth. Methods. We followed rapid review processes of the Agency for Healthcare Re

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Gupta, Atul, Sabrina Howell, Constantine Yannelis, and Abhinav Gupta. Does Private Equity Investment in Healthcare Benefit Patients? Evidence from Nursing Homes. National Bureau of Economic Research, 2021. http://dx.doi.org/10.3386/w28474.

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