On the adoption of personal health records: some problematic issues for patient empowerment

2015 ◽  
Vol 17 (2) ◽  
pp. 113-124 ◽  
Author(s):  
Paraskevas Vezyridis ◽  
Stephen Timmons
Keyword(s):  
Patient Empowerment ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records

scholarly journals Risk factors for clinically relevant deviations in patients’ medication lists reported by patients in personal health records: a prospective cohort study in a hospital setting

2022 ◽  
Author(s):  
Denise J. van der Nat ◽  
Margot Taks ◽  
Victor J. B. Huiskes ◽  
Bart J. F. van den Bemt ◽  
Hein A. W. van Onzenoort
Keyword(s):  
Medication Reconciliation ◽  
Personal Health Record ◽  
Patient Empowerment ◽  
Hospital Setting ◽  
Personal Health Records ◽  
Personal Health ◽  
Related Factors ◽  
Medication Discrepancies ◽  
Health Records ◽  
Medication Error Reporting

AbstractBackground Personal health records have the potential to identify medication discrepancies. Although they facilitate patient empowerment and broad implementation of medication reconciliation, more medication discrepancies are identified through medication reconciliation performed by healthcare professionals. Aim We aimed to identify the factors associated with the occurrence of a clinically relevant deviation in a patient’s medication list based on a personal health record (used by patients) compared to medication reconciliation performed by a healthcare professional. Method Three- to 14 days prior to a planned admission to the Cardiology-, Internal Medicine- or Neurology Departments, at Amphia Hospital, Breda, the Netherlands, patients were invited to update their medication file in their personal health records. At admission, medication reconciliation was performed by a pharmacy technician. Deviations were determined as differences between these medication lists. Associations between patient-, setting-, and medication-related factors, and the occurrence of a clinically relevant deviation (National Coordinating Council for Medication Error Reporting and Prevention class $$\ge$$ ≥ E) were analysed. Results Of the 488 patients approached, 155 patients were included. Twenty-four clinically relevant deviations were observed. Younger patients (adjusted odds ratio (aOR) 0.94; 95%CI:0.91–0.98), patients who used individual multi-dose packaging (aOR 14.87; 95%CI:2.02–110), and patients who used $$\ge$$ ≥ 8 different medications, were at highest risk for the occurrence of a clinically relevant deviation (sensitivity 0.71; specificity 0.62; area under the curve 0.64 95%CI:0.52–0.76). Conclusion Medication reconciliation is the preferred method to identify medication discrepancies for patients with individual multi-dose packaging, and patients who used eight or more different medications.

Popularity of Personal Health Records Growing

2008 ◽  
Vol 41 (3) ◽  
pp. 48-49
Author(s):  
MARY ELLEN SCHNEIDER
Keyword(s):  
Personal Health Records ◽  
Personal Health ◽  
Health Records

Examining non-critical health information seeking: A needs analysis for personal health records

2009 ◽  
Author(s):  
Margaux M. Price ◽  
Richard Pak ◽  
Hendrik Muller ◽  
Aideen Stronge ◽  
Jesse Breedlove
Keyword(s):  
Health Information ◽  
Information Seeking ◽  
Personal Health Records ◽  
Needs Analysis ◽  
Personal Health ◽  
Health Information Seeking ◽  
Health Records

Personal health records

2011 ◽  
Vol 17 (1) ◽  
pp. 63-71 ◽  
Author(s):  
Deborah Beranek Lafky ◽  
Thomas A. Horan
Keyword(s):  
Personal Health Records ◽  
Personal Health ◽  
Health Records

Secret Sharing-based Personal Health Records Management for the Internet of Health Things

2021 ◽  
pp. 103129
Author(s):  
Parsa Sarosh ◽  
Shabir A. Parah ◽  
G. Mohiuddin Bhat ◽  
Ali Asghar Heidari ◽  
Khan Muhammad
Keyword(s):  
Secret Sharing ◽  
Personal Health Records ◽  
The Internet ◽  
Personal Health ◽  
Records Management ◽  
Health Records

scholarly journals Section 1: Health and Clinical Management: Leveraging Information Technology to Improve Quality and Safety

2007 ◽  
Vol 16 (01) ◽  
pp. 22-29
Author(s):  
D. W. Bates ◽  
J. S. Einbinder
Keyword(s):  
Information Technology ◽  
Patient Safety ◽  
Clinical Data ◽  
Data Exchange ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records ◽  
Provider Behavior ◽  
Published Research ◽  
Improve Patient

SummaryTo examine five areas that we will be central to informatics research in the years to come: changing provider behavior and improving outcomes, secondary uses of clinical data, using health information technology to improve patient safety, personal health records, and clinical data exchange.Potential articles were identified through Medline and Internet searches and were selected for inclusion in this review by the authors.We review highlights from the literature in these areas over the past year, drawing attention to key points and opportunities for future work.Informatics may be a key tool for helping to improve patient care quality, safety, and efficiency. However, questions remain about how best to use existing technologies, deploy new ones, and to evaluate the effects. A great deal of research has been done on changing provider behavior, but most work to date has shown that process benefits are easier to achieve than outcomes benefits, especially for chronic diseases. Use of secondary data (data warehouses and disease registries) has enormous potential, though published research is scarce. It is now clear in most nations that one of the key tools for improving patient safety will be information technology— many more studies of different approaches are needed in this area. Finally, both personal health records and clinical data exchange appear to be potentially transformative developments, but much of the published research to date on these topics appears to be taking place in the U.S.— more research from other nations is needed.

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