scholarly journals Healthcare Data Security Technology: HIPAA Compliance

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Scholas Mbonihankuye ◽  
Athanase Nkunzimana ◽  
Ange Ndagijimana

Information technology (IT) plays an increasingly important and prominent role in the health sector. Data security is more important than ever to the healthcare industry and in world in general. The number of data breaches compromising confidential healthcare data is on the rise. For data security, cloud computing is very useful for securing data. Due to data storage issue, there is a need to use the electronic communication, and a number of methods have been developed for data security technology. Health Insurance Portability and Accountability Act (HIPAA) is one of the methods that can help in healthcare research. On stored database of patient in hospital or clinic, we can develop a conservational and analytical method so as to keep the medical records of the patients in a well-preserved and adequate environment. The method includes the improvement of working possibilities by delivering all the details necessary for the patient. All the information must be identified clearly. The protection of the privacy of the patients and the security of their information are the most imperative obstacles to obtain their intakes when considering the adoption of useful health data in the electronic field of healthcare industries.

2019 ◽  
Vol 4 (1) ◽  
pp. 49
Author(s):  
Rani Tiyas Budiyanti ◽  
Penggalih Mahardika Herlambang ◽  
Nurhasmadiar Nandini

Background: Personalized medicine is one of the health treatment approaches that has developed in the last ten years. This treatment is specific because it considers the genomics of patients and requires a complete database or medical record covering clinical and genomic data. Nevertheless, there are ethical and legal challenges in the implementation of electronic medical records in personalized medicine.Objective: This study aimed  to determine the ethical and legal challenges in the use of electronic medical records in personalized medicine based on previous literature.Methods: The method used in this study was literature review with sources from journals, books, and articles on electronic medical records, personalized medicine, as well as legal and ethical aspects related both domestically and abroad. Results: Ethical and legal challenges that can occurred in the use of electronic medical records in the personalized medicine era include security and ownership of data, legal responsibility, genomic discrimination, and changes in the relationship between doctors and patients.Conclusion: Indonesia does not yet have specific regulations regarding data security, data ownership, and data sharing in the health sector. Further regulations regarding the use of electronic medical records in the personalized era are needed so that their implementation does not conflict with the ethics and laws that apply in Indonesia


Author(s):  
Zakariae El Ouazzani ◽  
Hanan El Bakkali ◽  
Souad Sadki

Recently, digital health solutions are taking advantage of recent advances in information and communication technologies. In this context, patients' health data are shared with other stakeholders. Moreover, it's now easier to collect massive health data due to the rising use of connected sensors in the health sector. However, the sensitivity of this shared healthcare data related to patients may increase the risks of privacy violation. Therefore, healthcare-related data need robust security measurements to prevent its disclosure and preserve patients' privacy. However, in order to make well-informed decisions, it is often necessary to allow more permissive security policies for healthcare organizations even without the consent of patients or against their preferences. The authors of this chapter concentrate on highlighting these challenging issues related to patient privacy and presenting some of the most significant privacy preserving approaches in the context of digital health.


2022 ◽  
pp. 431-454
Author(s):  
Pinar Kirci

To define huge datasets, the term of big data is used. The considered “4 V” datasets imply volume, variety, velocity and value for many areas especially in medical images, electronic medical records (EMR) and biometrics data. To process and manage such datasets at storage, analysis and visualization states are challenging processes. Recent improvements in communication and transmission technologies provide efficient solutions. Big data solutions should be multithreaded and data access approaches should be tailored to big amounts of semi-structured/unstructured data. Software programming frameworks with a distributed file system (DFS) that owns more units compared with the disk blocks in an operating system to multithread computing task are utilized to cope with these difficulties. Huge datasets in data storage and analysis of healthcare industry need new solutions because old fashioned and traditional analytic tools become useless.


Author(s):  
Amavey Tamunobarafiri ◽  
Shaun Aghili ◽  
Sergey Butakov

Cloud computing has been massively adopted in healthcare, where it attracts economic, operational, and functional advantages beneficial to insurance providers. However, according to Identity Theft Resource Centre, over twenty-five percent of data breaches in the US targeted healthcare. The HIPAA Journal reported an increase in healthcare data breaches in the US in 2016, exposing over 16 million health records. The growing incidents of cyberattacks in healthcare are compelling insurance providers to implement mitigating controls. Addressing data security and privacy issues before cloud adoption protects from monetary and reputation losses. This article provides an assessment tool for health insurance providers when adopting cloud vendor solutions. The final deliverable is a proposed framework derived from prominent cloud computing and governance sources, such as the Cloud Security Alliance, Cloud Control Matrix (CSA, CCM) v 3.0.1 and COBIT 5 Cloud Assurance.


2020 ◽  
Vol 81 (6) ◽  
pp. 1-8
Author(s):  
James Houston ◽  
Luke Ashby ◽  
Jonathan Ogidi ◽  
Daren F Lui ◽  
Alex J Trompeter

Open fractures incur significant morbidity and mortality, and as such have standardised guidelines for their management. Photography of open fractures is an essential component of documentation in the treatment of open fractures as per the British Orthopaedic Association Standards of Trauma and National Institute for Health and Care Excellence guidelines. Smartphones have made photography easily accessible to the clinician, but serious concerns exist regarding data security and the consent process around the use of sensitive clinical images. This project sought to overcome this issue by developing a Caldicott-compliant hospital imaging protocol that allows clinicians to use their smartphone to upload open fracture images into the patient's permanent record. Implementation of the protocol was audited and resulted in the increase of safe and secure open fracture photographic storage to inpatient medical records. This protocol would be transferrable to other hospital trusts and could be adopted across major trauma networks.


2020 ◽  
Vol 34 (1) ◽  
pp. 21-25
Author(s):  
Reg Joseph ◽  
Antonio Bruni ◽  
Chris Carvalho

Health City was established in the fall of 2018 as a Canadian not-for-profit corporation that works with numerous stakeholders to develop new pathways of care that can drive better health outcomes and economic development in the health sector. Data, artificial intelligence, and extended reality are technology platforms in healthcare that are highlighted in the context of Health City Initiatives presented here. Health City’s future area of focus in addressing challenges in procurement for health innovations is also discussed as a new approach that connects the health industry to healthcare. Health City has been an active stakeholder in health innovation in Edmonton and will continue to focus on developing a global niche and owning that space through meaningful partnerships and impactful projects. This will drive improved health outcomes and economic development for the Edmonton region and Canada that can be scaled globally.


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