scholarly journals Security/Privacy Perceptions in Patient Use of Online Medical Records

2021 ◽  
Vol 16 (4) ◽  
pp. 0-0
Keyword(s):  
Health Information ◽  
Medical Records ◽  
Healthcare Providers ◽  
Population Based ◽  
Birth Date ◽  
Personally Identifiable Information ◽  
National Trends ◽  
Patient Use ◽  
Electronic Health Information ◽  
The Relationship

Data breaches expose individuals to economic, mental, and social trauma. Electronic health information of individuals not only includes reports of medical diagnosis, medication histories but also comprises personally identifiable information (PII) (e.g, birth date). We examined the association of vulnerability perception - defined as privacy or security breach concerns and provider encouragement with the use of online medical records (OMR) and moderating effects of provider encouragement and age in the relationship between vulnerability and usage. Data came from a national population-based survey, the Health Information National Trends Survey (HINTS). This study included 1770 adult individuals many of who are chronic disease patients or cancer survivors. The majority of these subjects did report use of OMR. We found security/privacy related vulnerability and provider encouragement significantly predict patients' use of OMR. Healthcare providers and developers should work with patients to mitigate concerns and enable patients to derive benefits from using online medical records.

A Comparison of How Canada, England, and Denmark are Managing their Electronic Health Record Journeys

2010 ◽  
pp. 203-218 ◽  
Author(s):  
Denis Protti
Keyword(s):  
Health Information ◽  
Healthcare Providers ◽  
Healthcare Quality ◽  
Lessons Learned ◽  
Healthcare Sector ◽  
The Public ◽  
Information And Communication ◽  
Electronic Health ◽  
User Friendly ◽  
Electronic Health Information

Healthcare is one of the world’s most information-intensive industries. Every day, volumes of data are produced which, properly used, can improve clinical practice and outcomes, guide planning and resource allocation, and enhance accountability. Electronic health information is fundamental to better healthcare. There will be no significant increase in healthcare quality and efficiency without high quality, user-friendly health information compiled and delivered electronically. The growing use of information and communication technology (ICT) in the healthcare sector has introduced numerous opportunities and benefits to patients, providers and governments alike. Patients are being provided with tools to help them manage and monitor their healthcare, providers are able to seamlessly access up-to-date patient information, and governments are showing transparency to the public by reporting health data and information on their websites. There is mounting evidence that national, regional, and organizational e-health strategies are being developed and implemented worldwide. This chapter provides an overview of three different national e-health strategies, and identifies the lessons learned from the e-health strategies of Canada, England and Denmark.

Abstract 2573: Cancer diagnoses and patient use of electronic health records: results from the health information national trends survey

2016 ◽  
Author(s):  
Alexandra J. Greenberg ◽  
Angela Falisi ◽  
Lila J. Finney Rutten ◽  
Wen-Ying Sylvia Chou ◽  
Richard P. Moser ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Health Information ◽  
Health Records ◽  
Electronic Health ◽  
National Trends ◽  
Patient Use

Multimorbidity and health literacy: A population-based survey among 28,627 Danish adults

2021 ◽  
pp. 140349482110459
Author(s):  
Sofie Emilie Pedersen ◽  
Anna Aaby ◽  
Karina Friis ◽  
Helle Terkildsen Maindal
Keyword(s):  
Health Literacy ◽  
Health Information ◽  
Multiple Logistic Regression Analysis ◽  
Healthcare Providers ◽  
Positive Association ◽  
Population Based ◽  
Literacy Skills ◽  
Physical Conditions ◽  
Healthcare Needs ◽  
Population Based Survey

Aim: Individuals with multimorbidity often have complex healthcare needs challenging their health literacy skills. This study aimed to investigate the association between the number of physical conditions and health literacy and to examine the difference in health literacy levels between individuals with multimorbidity based on physical conditions and individuals with additional mental disorders. Methods: Respondents aged 25 years or older from a Danish population-based survey were included ( N = 28,627). Multimorbidity was assessed based on 18 self-reported chronic conditions; health literacy was measured using two scales from the Health Literacy Questionnaire focusing on understanding health information and engaging with healthcare providers. Associations were examined using multiple logistic regression analysis. Results: We found a positive association between number of physical conditions and the odds of having difficulties in understanding health information and engaging with healthcare providers. For example, the adjusted odds ratio (OR) of having difficulties in understanding health information was 1.45 (95% confidence interval (CI): 1.09–1.94) for individuals with two physical conditions compared with individuals without multimorbidity. The associations formed a positive exposure–response pattern. Furthermore, respondents with both mental and physical conditions had more than twice the odds of having health literacy difficulties compared to respondents with only physical conditions (adjusted OR 2.53 (95% CI 2.02–3.18) and 2.28 (95% CI 1.92–2.72) for the scales, respectively). Conclusions: Our results suggest that responding to patients’ health literacy needs is crucial for individuals with multimorbidity – especially those with combined mental and physical conditions.

scholarly journals EFFECT OF ELECTRONIC HEALTH INFORMATION SYSTEM ON MEDICAL RECORDS MANAGEMENT IN PUBLIC HEALTHCARE INSTITUTIONS

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Ikechukwu Michael Elikwu ◽  
Anthony C. Igbokwe ◽  
Gloria Emokhare
Keyword(s):  
Qualitative Research ◽  
Information System ◽  
Health Information ◽  
Medical Records ◽  
Health Information System ◽  
Public Healthcare ◽  
Records Management ◽  
Patient Waiting Time ◽  
Electronic Health ◽  
Electronic Health Information

The worrisome state of Nigerian hospitals in the last decades owing to continued to adopt the global trend on information systems to move away from healthcare delivery characterised by inefficiencies, poor management practices evidenced by continuous use of the traditional paper record system in most public health facilities in Nigeria, which often time causes delay and long patient waiting time, resulting in cases of infant and maternal mortality. Hence, this study investigated how an electronic health information system can improve medical records management in Nigeria’s public healthcare institutions. The study employed the numerical and qualitative research philosophy, adopted the survey and case study research strategies, the cross-sectional and qualitative research designs. The study sample covered 332 respondents spread across four selected Federal Medical Centres in Makurdi, Keffi, Lokoja and Abuja FCT, all located in the North Central Region of Nigeria. In the collection of primary data, the researcher took cognisance of ethnic consideration regarding the confidentiality of data and protection of respondents’ trust. The study used the simple frequency percentage table to analyse collected data. The finding revealed that, though there is still heavy reliance on traditional paper-based records system, however, adoption of eHIS will reduce risk of treatment errors, decrease patient waiting time, enhance timely communication among practitioners, protects patient information from unauthorised personnel and enhance healthcare service delivery. The study, therefore, recommended that the government and hospital management should prioritise the provision of necessary infrastructure in the health capital budget to support adoption and implementation of the electronic health information system and electronic medical records management to reduce high mortality rates from delayed treatments and preventable medical errors.

The Implementation and Future Directions of e-Health Information Policy

2011 ◽  
Vol 3 (3) ◽  
pp. 1-9 ◽  
Author(s):  
Evagelia C. Lappa ◽  
Georgios A. Giannakopoulos
Keyword(s):  
Information Technology ◽  
Health Information ◽  
Medical Records ◽  
Healthcare Delivery ◽  
Healthcare Providers ◽  
Medical Knowledge ◽  
Classification Systems ◽  
Medical Decision ◽  
Sensitive Information ◽  
Medical Decision Support Systems

Information technology has the potential to transform working procedure in the health care sector. Clinicians have used Health Information Management and Technology (HIM&T) for more than two decades to assist in achieving better healthcare delivery outcomes. Medical knowledge is too complex for humans to master in a single mind, and to remember everything about each patient. Medical data consist of many kinds of data from different sources, requiring the development of many medical decision support systems. Creating and indexing records for hospitals and health systems present difficult challenges, because the medical records contain sensitive information. Increased computerization and other policy factors have contributed to privacy risks. Transforming from paper-based to Electronic Medical Records (EMR) allows healthcare providers to share information across their care ecosystem. Access to this digital lifeline, connecting the EMR to the digital web platforma, is critical to saving lives, preventing medical errors and improving efficiency of healthcare delivery. Choosing the international classification systems for patients, ICD, DRGs, grouped patients according to the resources consumption required for treatment and other clinical characteristics. Information Technology provides solutions to this problem. A vital element of healthcare delivery is to ensure that the patient is always at the centre of everything clinicians do.

scholarly journals Maternal Intravenous Fluids and Infant Weight

2012 ◽  
Vol 3 (2) ◽  
pp. 59-63 ◽  
Author(s):  
Robin Hirth ◽  
Tina Weitkamp ◽  
Alok Dwivedi
Keyword(s):  
Weight Loss ◽  
Birth Weight ◽  
Medical Records ◽  
Healthcare Providers ◽  
Intravenous Fluids ◽  
Maximum Weight ◽  
Cross Sectional ◽  
Relationship Of ◽  
The Relationship ◽  
Maximum Weight Loss

Healthcare providers typically use an infant’s weight loss in the first days of life as a measurement of effective feeding. Additional feeding volumes are often recommended when the infant reaches weight loss of seven to ten percent of their birth weight. This study examined the relationship of the amount of maternal intravenous fluids (IV) given during labor, and infant maximum weight loss during hospital admission. The method was a retrospective cross-sectional review of medical records for 186 healthy mothers and their infants who delivered at a Baby Friendly™ certified hospital in southwest Ohio. Maternal average IV mL per hour positively correlated with infant maximum weight loss.

scholarly journals Hypertension, BMI, and cardiovascular and cerebrovascular diseases

Open Medicine ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. 149-155
Author(s):  
Wenjing Qiao ◽  
Xinyi Zhang ◽  
Bo Kan ◽  
Ann M. Vuong ◽  
Shanshan Xue ◽  
...  
Keyword(s):  
Medical Records ◽  
Body Height ◽  
Population Based ◽  
Cerebrovascular Diseases ◽  
Logistic Regression Models ◽  
Diabetic Status ◽  
Effect Measure ◽  
Effect Measure Modification ◽  
The Relationship ◽  
Height Data

Abstract Hypertension is associated with body mass index (BMI) and cardiovascular and cerebrovascular diseases (CCDs). Whether hypertension modifies the relationship between BMI and CCDs is still unclear. We examined the association between BMI and CCDs and tested whether effect measure modification was present by hypertension. We identified a population-based sample of 3,942 participants in Shuncheng, Fushun, Liaoning, China. Hypertension was defined as any past use of antihypertensive medication or having a measured systolic/diastolic blood pressure ≥130/80 mm Hg. BMI was calculated from measured body weight and body height. Data on diagnosed CCDs were self-reported and validated in the medical records. We used logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between BMI and CCDs. Higher BMI was associated with increased odds of having CCDs (OR = 1.19, 95% CI: 1.07–1.31). This association was significantly modified by hypertension (P for interaction <0.001), with positive associations observed among hypertensive individuals (OR = 1.28, 95% CI: 1.14–1.42). Age, sex, and diabetic status did not modify the relationship between BMI and CCDs (all P for interaction >0.10). Although higher BMI was associated with increased odds of CCDs, the relationship was mainly limited to hypertensive patients.

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