Challenges Associated with Privacy in Health Care Industry: Implementation of HIPAA and the Security Rules

Choi, Young B.; Capitan, K.E.; Krause, Joshua S.; Streeper, Meredith M.

doi:10.1007/s10916-006-7405-0

Cited by 76 publications

(36 citation statements)

References 5 publications

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“…It also includes standards for the transfer of healthcare information that are designed to protect the privacy of sensitive patient medical information. The Privacy and Security Rules of HIPAA require covered entities to ensure implementation of administrative safeguards in the form of policies, personnel and physical safeguards to their information infrastructure, and technical safeguards to monitor and control intra and inter-organizational information access (Choi, et al 2006). Those rules were phased in over time with compliance maturing nearly five years ago (Privacy Rules in April 2003 and Security Rules in April 2005).…”

Section: Resultsmentioning

confidence: 99%

Data Hemorrhages in the Health-Care Sector

Johnson

2009

Financial Cryptography and Data Security

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Abstract. Confidential data hemorrhaging from health-care providers pose financial risks to firms and medical risks to patients. We examine the consequences of data hemorrhages including privacy violations, medical fraud, financial identity theft, and medical identity theft. We also examine the types and sources of data hemorrhages, focusing on inadvertent disclosures. Through an analysis of leaked files, we examine data hemorrhages stemming from inadvertent disclosures on internet-based file sharing networks. We characterize the security risk for a group of health-care organizations using a direct analysis of leaked files. These files contained highly sensitive medical and personal information that could be maliciously exploited by criminals seeking to commit medical and financial identity theft. We also present evidence of the threat by examining user-issued searches. Our analysis demonstrates both the substantial threat and vulnerability for the health-care sector and the unique complexity exhibited by the US health-care system.

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Section: Resultsmentioning

confidence: 99%

Data Hemorrhages in the Health-Care Sector

Johnson

2009

Financial Cryptography and Data Security

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“…This led to more time-consuming methods of printing paper reports and faxing the report to each individual facility. Although hospitals must comply with privacy and confidentiality regulations related to the distribution of patient information, electronically sharing patient data has been successfully implemented for billing and for sharing information across providers by using effective technical security mechanisms [4]. EMR designers should consider this ability to electronically transmit patient information to external facilities when designing for nonclinical users.…”

Section: Improving Emr Design For Collaboration and Empowerment Of Nomentioning

confidence: 99%

Exploring the perceptions and use of electronic medical record systems by non-clinicians

Reddy

McNeese

2014

Proceedings of the 2014 Conference on Designing Interactive Systems

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Electronic medical record (EMR) systems are used by a wide variety of users. However, current research on the design and use of the EMR primarily focuses on clinical users such as physicians and nurses. While it is important to understand EMR use by clinicians, there is also a need to understand how non-clinicians use these systems because of the important role they play in the patient-care process. In this note, we present results of an ethnographic field study on the use and perceptions of EMR systems by nonclinicians in an emergency department. We then discuss design implications that can improve the system usability and strengthen the empowerment of these non-clinicians.

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“…HIPAA's "minimum necessary standard" requires medical entities to limit the disclosure of protected health information [11]. In order to comply with this regulation we selected a subset of patients and data fields from the EHR database to focus on in this first exploration.…”

Section: B Data Selectionmentioning

confidence: 99%

An Empirical Analysis of Topic Modeling for Mining Cancer Clinical Notes

Chan¹,

Lou²,

Karaletsos³

et al. 2013

2013 IEEE 13th International Conference on Data Mining Workshops

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Using a variety of techniques including Topic Modeling, Principal Component Analysis and Bi-clustering, we explore electronic patient records in the form of unstructured clinical notes and genetic mutation test results. Our ultimate goal is to gain insight into a unique body of clinical data, specifically regarding the topics discussed within the note content and relationships between patient clinical notes and their underlying genetics.

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Challenges Associated with Privacy in Health Care Industry: Implementation of HIPAA and the Security Rules

Cited by 76 publications

References 5 publications

Data Hemorrhages in the Health-Care Sector

Data Hemorrhages in the Health-Care Sector

Exploring the perceptions and use of electronic medical record systems by non-clinicians

An Empirical Analysis of Topic Modeling for Mining Cancer Clinical Notes

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