scholarly journals Selecting Mobile Health Technologies for Electronic Health Record Integration: Case Study (Preprint)

2020 ◽  
Author(s):  
Ryan Shaw ◽  
Marissa Stroo ◽  
Christopher Fiander ◽  
Katlyn McMillan
Keyword(s):  
Case Report ◽  
Mobile Health ◽  
Wearable Devices ◽  
Environmental Data ◽  
Health Record ◽  
Health Records ◽  
Health Technologies ◽  
Electronic Health ◽  
Selection Of

UNSTRUCTURED Mobile health (mHealth) technologies, such as wearable devices and sensors that can be placed in the home, allow for the capture of physiologic, behavioral, and environmental data from patients between clinic visits. The inclusion of these data in the medical record may benefit patients and providers. Most health systems now have electronic health records (EHRs), and the ability to pull and send data to and from mobile devices via smartphones and other methods is increasing; however, many challenges exist in the evaluation and selection of devices to integrate to meet the needs of diverse patients with a range of clinical needs. We present a case report that describes a method that our health system uses, guided by a telehealth model to evaluate the selection of devices for EHR integration.

scholarly journals Selecting Mobile Health Technologies for Electronic Health Record Integration: Case Study

10.2196/23314 ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. e23314
Author(s):  
Ryan Shaw ◽  
Marissa Stroo ◽  
Christopher Fiander ◽  
Katlyn McMillan
Keyword(s):  
Case Report ◽  
Mobile Health ◽  
Wearable Devices ◽  
Environmental Data ◽  
Health Record ◽  
Health Records ◽  
Health Technologies ◽  
Electronic Health ◽  
Selection Of

Mobile health (mHealth) technologies, such as wearable devices and sensors that can be placed in the home, allow for the capture of physiologic, behavioral, and environmental data from patients between clinic visits. The inclusion of these data in the medical record may benefit patients and providers. Most health systems now have electronic health records (EHRs), and the ability to pull and send data to and from mobile devices via smartphones and other methods is increasing; however, many challenges exist in the evaluation and selection of devices to integrate to meet the needs of diverse patients with a range of clinical needs. We present a case report that describes a method that our health system uses, guided by a telehealth model to evaluate the selection of devices for EHR integration.

scholarly journals Security and Privacy Concerns Regarding Genetic Data in Mobile Health Record Systems: An Empirical Study from Turkey

2019 ◽  
Author(s):  
Özlem Özkan ◽  
Yeşim Aydin Son ◽  
Arsev Umur Aydinoğlu
Keyword(s):  
Genetic Testing ◽  
Mobile Health ◽  
Genetic Data ◽  
Security And Privacy ◽  
Health Record ◽  
Privacy And Security ◽  
Negative Experience ◽  
Health Records ◽  
Privacy Concerns ◽  
Electronic Health

AbstractWith the increasing use of genetic testing and applications of bioinformatics in healthcare, genetic and genomic data needs to be integrated into electronic health systems. We administered a descriptive survey to 174 participants to elicit their views on the privacy and security of mobile health record systems and inclusion of their genetic data in these systems. A survey was implemented online and on site in two genetic diagnostic centres. Nearly half of the participants or their close family members had undergone genetic testing. Doctors constituted the only profession group that people trusted for the privacy of their health and genetic data; however, people chose to limit even their doctor’s access to their genetic/health records. The majority of the respondents preferred to keep full access for themselves. Several participants had negative experience or preconceptions about electronic health records: the medical reports of 9.7% of the respondents had been used or released without their consent, 15.1% stated that they avoided being tested due to violation risks, and 3.5% asked their doctors to enter a less embarrassing health status in their records. The participants wanted to see some regulations and security measurements before using any system for their health/genetic data. In addition, significantly more participants stating that storing genetic data in a mobile system was riskier compared to other health data. Furthermore, the comparative analysis revealed that being young, being a woman and having higher education were associated with having greater privacy concerns.

scholarly journals Challenges associated with missing data in electronic health records: A case study of a risk prediction model for diabetes using data from Slovenian primary care

2017 ◽  
Vol 25 (3) ◽  
pp. 951-959 ◽  
Author(s):  
Gregor Stiglic ◽  
Primoz Kocbek ◽  
Nino Fijacko ◽  
Aziz Sheikh ◽  
Majda Pajnkihar
Keyword(s):  
Missing Data ◽  
Electronic Health Records ◽  
Prediction Model ◽  
Electronic Health Record ◽  
Health Record ◽  
Electronic Health Record Data ◽  
Health Records ◽  
Record Data ◽  
Electronic Health

The increasing availability of data stored in electronic health records brings substantial opportunities for advancing patient care and population health. This is, however, fundamentally dependant on the completeness and quality of data in these electronic health records. We sought to use electronic health record data to populate a risk prediction model for identifying patients with undiagnosed type 2 diabetes mellitus. We, however, found substantial (up to 90%) amounts of missing data in some healthcare centres. Attempts at imputing for these missing data or using reduced dataset by removing incomplete records resulted in a major deterioration in the performance of the prediction model. This case study illustrates the substantial wasted opportunities resulting from incomplete records by simulation of missing and incomplete records in predictive modelling process. Government and professional bodies need to prioritise efforts to address these data shortcomings in order to ensure that electronic health record data are maximally exploited for patient and population benefit.

scholarly journals A Survey on Efficient Block Chain Authentication Scheme Based on Electronic Health Records

2020 ◽  
Vol 5 (6) ◽  
pp. 265-269
Author(s):  
Swati Laxmeshwar ◽  
Deepak N.R
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Positive Solution ◽  
Health Record ◽  
Information Protection ◽  
Health Providers ◽  
Health Records ◽  
Block Chain ◽  
Electronic Health ◽  
Selection Of

With the quick selection of the Cloud-based Electronic Health Record ( EHR) frameworks, health providers are particularly concerned about overseeing cloud-based information protection. Current methodologies either have a flexibility bottleneck requiring patients to accept each sharing of their clinical details or a confidence bottleneck by providing a sole power control of each entry, thus increasing the issue of a single intention of attack. The exchange of electronic health records ( EHRs) has a very good centrality for infection studies and the commitment of specialists Lately, a cloud-based electronic health record sharing program has offered a range of conveniences, but cloud centralization unfailingly opens up risks to information security and safety. Blockchain innovation can be seen as a positive solution to addressing these issues by virtue of its one kind of decentralization, namelessness, unforgeability, and unquestionable status.

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

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.

scholarly journals Pilot Study of Meaningful Use of Electronic Health Records in Radiation Oncology

2012 ◽  
Vol 8 (4) ◽  
pp. 219-223 ◽  
Author(s):  
Xinglei Shen ◽  
Adam P. Dicker ◽  
Laura Doyle ◽  
Timothy N. Showalter ◽  
Amy S. Harrison ◽  
...  
Keyword(s):  
Pilot Study ◽  
Electronic Health Records ◽  
Electronic Health Record ◽  
Radiation Oncology ◽  
Meaningful Use ◽  
Health Record ◽  
Health Records ◽  
Widespread Adoption ◽  
Electronic Health

Most large academic radiation oncology practices have incorporated electronic health record systems into practice and plan to meet meaningful use requirements. Further work should focus on needs of smaller practices, and specific guidelines may improve widespread adoption.

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