Impact of a Consumer and Patient Health Information Service on User Satisfaction, Attitudes, and Patient-Health Care Professional Interactions

2012 ◽  
Vol 16 (2) ◽  
pp. 192-212 ◽  
Author(s):  
Martha Earl ◽  
Sandy Oelschlegel ◽  
Alisa Breece
Keyword(s):  
Health Care ◽  
Health Information ◽  
Health Care Professional ◽  
User Satisfaction ◽  
Information Service ◽  
Patient Health ◽  
Patient Health Information ◽  
Professional Interactions

HIPAA Compliance: Lessons from the Repeal of Hawaii's Patient Privacy Law

2002 ◽  
Vol 30 (2) ◽  
pp. 309-312
Author(s):  
Curly Kelly
Keyword(s):  
Health Care ◽  
Health Information ◽  
Health Care Providers ◽  
Care Providers ◽  
Patient Privacy ◽  
Privacy Law ◽  
Department Of Health ◽  
Patient Health ◽  
Final Rule ◽  
Patient Health Information

In 1996, Congress passed the Health Insurance Portability and Accountability Act (HIPAA), which required the enactment of new regulations to protect confidential patient health information. In December 2000, the U.S. Department of Health and Human Services (DHHS) published the agency's final rule on patient privacy and the proper use of privileged health information. The HIPAA privacy regulations cover all health-care providers that handle medical records or other identifiable patient health information. Most health-care organizations have until April 14,2003, to comply with HIPPA.

scholarly journals Blockchain Based Remote Patient Monitoring System

2019 ◽  
Vol 8 (2) ◽  
pp. 111-118
Author(s):  
Bashayer Al-Ahmadi Bashayer Al-Ahmadi
Keyword(s):  
Health Information ◽  
Monitoring System ◽  
Patient Monitoring ◽  
Health Providers ◽  
Remote Patient Monitoring ◽  
Rpm System ◽  
Patient Health ◽  
Patient Monitoring System ◽  
Remote Patient ◽  
Patient Health Information

Remote Patient Monitoring system is an approach of a health care system that enables the patient-user of performing a remote periodical check-up. Unfortunately, these types of systems usually don't provide the advantages of securely sharing the patient health information among different health providers. Many types of research aimed to solve this issue by applying the blockchain technique to the existing patient health information records at hospitals. However; none was found regarding the remote patient monitoring system's generated data. Therefore, this proposal aims to integrate the advantages of blockchain and the Remote Patient Monitoring (RPM) system by building a secure blockchain based RPM system.

Big data or big risk: general practitioner, practice nurse and practice manager attitudes to providing de-identified patient health data from electronic medical records to researchers

2020 ◽  
Vol 26 (6) ◽  
pp. 466
Author(s):  
Timothy Monaghan ◽  
Jo-Anne Manski-Nankervis ◽  
Rachel Canaway
Keyword(s):  
Primary Care ◽  
Health Information ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Health Data ◽  
Positive Effects ◽  
Patient Consent ◽  
Patient Health ◽  
General Practices ◽  
Patient Health Information

Research utilising de-identified patient health information extracted from electronic medical records (EMRs) from general practices has steadily grown in recent years in response to calls to increase use of health data for research and other secondary purposes in Australia. Little is known about the views of key primary care personnel on this issue, which are important, as they may influence whether practices agree to provide EMR data for research. This exploratory qualitative study investigated the attitudes and beliefs of general practitioners (GPs), practice managers (PMs) and practice nurses (PNs) around sharing de-identified EMR patient health information with researchers. Semi-structured interviews were conducted with 11 participants (6 GPs, 3 PMs and 2 PNs) recruited via purposive sampling from general practices in Victoria, Australia. Transcripts were coded and thematically analysed. Participants were generally enthusiastic about research utilising de-identified health information extracted from EMRs for altruistic reasons, including: positive effects on primary care research, clinical practice and population health outcomes. Concerns raised included patient privacy and data breaches, third-party use of extracted data and patient consent. These findings can provide guidance to researchers and policymakers in designing and implementing projects involving de-identified health information extracted from EMRs.

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