Do personal health concerns and trust in healthcare providers mitigate privacy concerns? Effects on patients’ intention to share personal health data on electronic health records

This study explores patients’ perspectives on sharing their personal health data, which is traditionally shared through discussions with peers and relatives. However, other possibilities for sharing have emerged through the introduction of online services such as Patient Accessible Electronic Health Records (PAEHR). In this article, we investigate strategies that patients adopt in sharing their PAEHR. Data were collected through a survey with 2587 patients and through 15 semi-structured interviews with cancer patients. Results show that surprisingly few patients share their information, and that older patients and patients with lower educational levels share more frequently. A large majority of patients trust the security of the system when sharing despite the high sensitivity of health information. Finally, we discuss the design implications addressing identified problems when sharing PAEHR, as well as security and privacy issues connected to sharing.

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Electronic Health Records Implementation in Jordan: Perceptions of Healthcare Providers and Determinant Factors (Preprint)

10.2196/preprints.23732 ◽

2020 ◽

Author(s):

Tamadur Shudayfat ◽

Çağdaş Akyürek ◽

Noha Al-Shdayfat ◽

Hatem Alsaqqa

Keyword(s):

Electronic Health Records ◽

Electronic Health Record ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

Healthcare Providers ◽

Health Record ◽

Health Records ◽

Context Factors ◽

Electronic Health ◽

Acceptance Model

BACKGROUND Acceptance of Electronic Health Record systems is considered an essential factor for an effective implementation among the Healthcare providers. In an attempt to understand the healthcare providers’ perceptions on the Electronic Health Record systems implementation and evaluate the factors influencing healthcare providers’ acceptance of Electronic Health Records, the current research examines the effects of individual (user) context factors, and organizational context factors, using Technology Acceptance Model. OBJECTIVE The current research examines the effects of individual (user) context factors, and organizational context factors, using Technology Acceptance Model. METHODS A quantitative cross-sectional survey design was used, in which 319 healthcare providers from five public hospital participated in the present study. Data was collected using a self-administered questionnaire, which was based on the Technology Acceptance Model. RESULTS Jordanian healthcare providers demonstrated positive perceptions of the usefulness and ease of use of Electronic Health Record systems, and subsequently, they accepted the technology. The results indicated that they had a significant effect on the perceived usefulness and perceived ease of use of Electronic Health Record, which in turn was related to positive attitudes towards Electronic Health Record systems as well as the intention to use them. CONCLUSIONS User attributes, organizational competency, management support and training and education are essential variables in predicting healthcare provider’s acceptance toward Electronic Health records. These findings should be considered by healthcare organizations administration to introduce effective system to other healthcare organizations.

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A Global Socio-economic-medico-legal Model for the Sustainability of Longitudinal Electronic Health Records

Methods of Information in Medicine ◽

10.1055/s-0038-1634081 ◽

2006 ◽

Vol 45 (03) ◽

pp. 240-245 ◽

Cited By ~ 21

Author(s):

A. Shabo

Keyword(s):

Electronic Health Records ◽

Healthcare Providers ◽

Financial Assets ◽

Healthcare Organizations ◽

Health Records ◽

Record Keeping ◽

Proposed Model ◽

Legal Model ◽

Electronic Health

Summary Objectives: This paper pursues the challenge of sustaining lifetime electronic health records (EHRs) based on a comprehensive socio-economic-medico-legal model. The notion of a lifetime EHR extends the emerging concept of a longitudinal and cross-institutional EHR and is invaluable information for increasing patient safety and quality of care. Methods: The challenge is how to compile and sustain a coherent EHR across the lifetime of an individual. Several existing and hypothetical models are described, analyzed and compared in an attempt to suggest a preferred approach. Results: The vision is that lifetime EHRs should be sustained by new players in the healthcare arena, who will function as independent health record banks (IHRBs). Multiple competing IHRBs would be established and regulated following preemptive legislation. They should be neither owned by healthcare providers nor by health insurer/payers or government agencies. The new legislation should also stipulate that the records located in these banks be considered the medico-legal copies of an individual’s records, and that healthcare providers no longer serve as the legal record keepers. Conclusions: The proposed model is not centered on any of the current players in the field; instead, it is focussed on the objective service of sustaining individual EHRs, much like financial banks maintain and manage financial assets. This revolutionary structure provides two main benefits: 1) Healthcare organizations will be able to cut the costs of long-term record keeping, and 2) healthcare providers will be able to provide better care based on the availability of a lifelong EHR of their new patients.

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The process of sourcing and preparing electronic health records data to implement a machine-learning algorithm for early identification of maternal cardiovascular risk (Preprint)

10.2196/preprints.34932 ◽

2021 ◽

Author(s):

Nawar Shara ◽

Kelley M. Anderson ◽

Noor Falah ◽

Maryam F. Ahmad ◽

Darya Tavazoei ◽

...

Keyword(s):

Machine Learning ◽

Cardiovascular Risk ◽

Electronic Health Records ◽

Patient Care ◽

Early Identification ◽

Health Data ◽

Patient Specific ◽

Patient Records ◽

Health Records ◽

Electronic Health

BACKGROUND Healthcare data are fragmenting as patients seek care from diverse sources. Consequently, patient care is negatively impacted by disparate health records. Machine learning (ML) offers a disruptive force in its ability to inform and improve patient care and outcomes [6]. However, the differences that exist in each individual’s health records, combined with the lack of health-data standards, in addition to systemic issues that render the data unreliable and that fail to create a single view of each patient, create challenges for ML. While these problems exist throughout healthcare, they are especially prevalent within maternal health, and exacerbate the maternal morbidity and mortality (MMM) crisis in the United States. OBJECTIVE Maternal patient records were extracted from the electronic health records (EHRs) of a large tertiary healthcare system and made into patient-specific, complete datasets through a systematic method so that a machine-learning-based (ML-based) risk-assessment algorithm could effectively identify maternal cardiovascular risk prior to evidence of diagnosis or intervention within the patient’s record. METHODS We outline the effort that was required to define the specifications of the computational systems, the dataset, and access to relevant systems, while ensuring data security, privacy laws, and policies were met. Data acquisition included the concatenation, anonymization, and normalization of health data across multiple EHRs in preparation for its use by a proprietary risk-stratification algorithm designed to establish patient-specific baselines to identify and establish cardiovascular risk based on deviations from the patient’s baselines to inform early interventions. RESULTS Patient records can be made actionable for the goal of effectively employing machine learning (ML), specifically to identify cardiovascular risk in pregnant patients. CONCLUSIONS Upon acquiring data, including the concatenation, anonymization, and normalization of said data across multiple EHRs, the use of a machine-learning-based (ML-based) tool can provide early identification of cardiovascular risk in pregnant patients. CLINICALTRIAL N/A

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Privacy Concerns Are an Obstacle to Adopting Electronic Health Records

Gastroenterology ◽

10.1053/j.gastro.2010.10.030 ◽

2010 ◽

Vol 139 (6) ◽

pp. 1806-1807

Author(s):

Les Lang

Keyword(s):

Electronic Health Records ◽

Health Records ◽

Privacy Concerns ◽

Electronic Health

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Privacy-Friendly Management of Electronic Health Records in the eHealth Context

Advances in Electronic Government, Digital Divide, and Regional Development - Handbook of Research on Democratic Strategies and Citizen-Centered E-Government Services ◽

10.4018/978-1-4666-7266-6.ch014 ◽

2015 ◽

pp. 251-264

Author(s):

Milica Milutinovic ◽

Bart De Decker

Keyword(s):

Electronic Health Records ◽

Large Scale ◽

Patient Data ◽

Health Records ◽

Privacy Concerns ◽

Ubiquitous Technology ◽

Emergency Situations ◽

User Centric ◽

Electronic Health

Electronic Health Records (EHRs) are becoming the ubiquitous technology for managing patients' records in many countries. They allow for easier transfer and analysis of patient data on a large scale. However, privacy concerns linked to this technology are emerging. Namely, patients rarely fully understand how EHRs are managed. Additionally, the records are not necessarily stored within the organization where the patient is receiving her healthcare. This service may be delegated to a remote provider, and it is not always clear which health-provisioning entities have access to this data. Therefore, in this chapter the authors propose an alternative where users can keep and manage their records in their existing eHealth systems. The approach is user-centric and enables the patients to have better control over their data while still allowing for special measures to be taken in case of emergency situations with the goal of providing the required care to the patient.

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Research using electronic health records: Balancing confidentiality and public good

Journal of Primary Health Care ◽

10.1071/hc18040 ◽

2018 ◽

Vol 10 (4) ◽

pp. 288 ◽

Cited By ~ 2

Author(s):

Katharine A. Wallis ◽

Kyle S. Eggleton ◽

Susan M. Dovey ◽

Sharon Leitch ◽

Wayne K. Cunningham ◽

...

Keyword(s):

Electronic Health Records ◽

Ethical Issues ◽

Personal Health Information ◽

Personal Health ◽

Quality And Safety ◽

Patient Relationship ◽

Health Records ◽

Patient Consent ◽

Information Research ◽

Electronic Health

ABSTRACTGeneral practitioners are increasingly approached to participate in research and share de-identified patient information. Research using electronic health records has considerable potential for improving the quality and safety of patient care. Obtaining individual patient consent for the use of the information is usually not feasible. In this article we explore the ethical issues in using personal health information in research without patient consent including the threat to confidentially and the doctor-patient relationship, and we discuss how the risks can be minimised and managed drawing on our experience as general practitioners and researchers.

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