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Concept: Medical informatics

172

BACKGROUND: Implementation and use of electronic health records (EHRs) could lead to potential improvements in quality of care. However, the use of EHRs also introduces unique and often unexpected patient safety risks. Proactive assessment of risks and vulnerabilities can help address potential EHR-related safety hazards before harm occurs; however, current risk assessment methods are underdeveloped. The overall objective of this project is to develop and validate proactive assessment tools to ensure that EHR-enabled clinical work systems are safe and effective. METHODS: This work is conceptually grounded in an 8-dimension model of safe and effective health information technology use. Our first aim is to develop self-assessment guides that can be used by health care institutions to evaluate certain high-risk components of their EHR-enabled clinical work systems. We will solicit input from subject matter experts and relevant stakeholders to develop guides focused on 9 specific risk areas and will subsequently pilot test the guides with individuals representative of likely users. The second aim will be to examine the utility of the self-assessment guides by beta testing the guides at selected facilities and conducting on-site evaluations. Our multidisciplinary team will use a variety of methods to assess the content validity and perceived usefulness of the guides, including interviews, naturalistic observations, and document analysis. The anticipated output of this work will be a series of self-administered EHR safety assessment guides with clear, actionable, checklist-type items. DISCUSSION: Proactive assessment of patient safety risks increases the resiliency of health care organizations to unanticipated hazards of EHR use. The resulting products and lessons learned from the development of the assessment guides are expected to be helpful to organizations that are beginning the EHR selection and implementation process as well as those that have already implemented EHRs. Findings from our project, currently underway, will inform future efforts to validate and implement tools that can be used by health care organizations to improve the safety of EHR-enabled clinical work systems.

Concepts: Health care, Evaluation, Risk, Implementation, Electronic health record, Health informatics, Medical informatics, Personal health record

171

Purchasing electronic health records (EHRs) typically follows a process in which potential adopters actively seek information, compare alternatives, and form attitudes towards the product. A potential source of information on EHRs that can be used in the process is vendor websites. It is unclear how much product information is presented on EHR vendor websites or the extent of its value during EHR purchasing decisions.

Concepts: Electronic health record, Electronic medical record, Medical record, Health informatics, Medical informatics, Personal health record, Gramophone record, Public records

171

BACKGROUND: Various problems concerning the introduction of personal health records in everyday healthcare practice are reported to be associated with physicians' unfamiliarity with systematic means of electronically collecting health information about their patients (e.g. electronic health records - EHRs). Such barriers may further prevent the role physicians have in their patient encounters and the influence they can have in accelerating and diffusing personal health records (PHRs) to the patient community. One way to address these problems is through medical education on PHRs in the context of EHR activities within the undergraduate medical curriculum and the medical informatics courses in specific. In this paper, the development of an educational PHR activity based on Google Health is reported. Moreover, student responses on PHR’s use and utility are collected and presented. The collected responses are then modelled to relate the satisfaction level of students in such a setting to the estimation about their attitude towards PHRs in the future. METHODS: The study was conducted by designing an educational scenario about PHRs, which consisted of student instruction on Google Health as a model PHR and followed the guidelines of a protocol that was constructed for this purpose. This scenario was applied to a sample of 338 first-year undergraduate medical students. A questionnaire was distributed to each one of them in order to obtain Likert-like scale data on the sample’s response with respect to the PHR that was used; the data were then further analysed descriptively and in terms of a regression analysis to model hypothesised correlations. RESULTS: Students displayed, in general, satisfaction about the core PHR functions they used and they were optimistic about using them in the future, as they evaluated quite high up the level of their utility. The aspect they valued most in the PHR was its main role as a record-keeping tool, while their main concern was related to the negative effect their own opinion might have on the use of PHRs by patients. Finally, the estimate of their future attitudes towards PHR integration was found positively dependent of the level of PHR satisfaction that they gained through their experience (rho = 0.524, p <0.001). CONCLUSIONS: The results indicate that students support PHRs as medical record keeping helpers and perceive them as beneficial to healthcare. They also underline the importance of achieving good educational experiences in improving PHR perspectives inside such educational activities. Further research is obviously needed to establish the relative long-term effect of education to other methods of exposing future physicians to PHRs.

Concepts: Health care, Medicine, Education, Physician, Electronic health record, Health informatics, Medical informatics, Personal health record

166

Personally controlled health management systems (PCHMS), which include a personal health record (PHR), health management tools, and consumer resources, represent the next stage in consumer eHealth systems. It is still unclear, however, what features contribute to an engaging and efficacious PCHMS.

Concepts: Psychology, Physical examination, Control, Electronic health record, Medical informatics, Personal health record, Personal, Health management system

165

The objective was to find evidence to substantiate assertions that electronic applications for medication management in ambulatory care (electronic prescribing, clinical decision support (CDSS), electronic health record, and computer generated paper prescriptions), while intended to reduce prescribing errors, can themselves result in errors that might harm patients or increase risks to patient safety.

Concepts: Health care, Medicine, Evidence-based medicine, Decision theory, Management, Electronic health record, Clinical decision support system, Medical informatics

165

Frankel and colleagues have compared Israel and the U.S.’s experiences with health information exchange (HIE). They highlight the importance of institutional factors in fostering HIE development, notably the influence of local structures, experience and incentives. Historically, information infrastructure in the U.S. has been limited due to lack of standards, fragmented institutions and competition. The Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009 authorized billions of dollars for the adoption and “Meaningful Use” of electronic health records. HITECH programs and Meaningful Use incentives target the advancement of HIE through 1) building blocks, 2) local support and 3) payment incentives. Meaningful Use requirements create a roadmap to broader electronic exchange of health information among providers and with patients. Ultimately, successful HIE in the U.S. will depend on whether Meaningful Use can address institutional needs within local markets.This is a commentary on http://www.ijhpr.org/content/2/1/722.

Concepts: Health care, Experience, Information, Electronic health record, Health informatics, Institution, Medical informatics, Health information exchange

160

Automatic monitoring of Adverse Drug Reactions (ADRs), defined as adverse patient outcomes caused by medications, is a challenging research problem that is currently receiving significant attention from the medical informatics community. In recent years, user-posted data on social media, primarily due to its sheer volume, has become a useful resource for ADR monitoring. Research using social media data has progressed using various data sources and techniques, making it difficult to compare distinct systems and their performances. In this paper, we perform a methodical review to characterize the different approaches to ADR detection/extraction from social media, and their applicability to pharmacovigilance. In addition, we present a potential systematic pathway to ADR monitoring from social media.

Concepts: Pharmacology, Medicine, Performance, Adverse drug reaction, Pharmacy, Pharmacovigilance, American Depositary Receipt, Medical informatics

110

Methods to identify and study safety risks of electronic health records (EHRs) are underdeveloped and largely depend on limited end-user reports. “Safety huddles” have been found useful in creating a sense of collective situational awareness that increases an organization’s capacity to respond to safety concerns. We explored the use of safety huddles for identifying and learning about EHR-related safety concerns.

Concepts: Electronic health record, Electronic medical record, Health informatics, Medical informatics, Personal health record

54

Most electronic health record systems provide laboratory test results to patients in table format. We tested whether presenting such results in visual displays (number lines) could improve understanding.

Concepts: Electronic health record, Electronic medical record, Health informatics, Andrew Martin, Medical informatics, Personal health record

46

frailty is an especially problematic expression of population ageing. International guidelines recommend routine identification of frailty to provide evidence-based treatment, but currently available tools require additional resource.

Concepts: Health care, Demography, Population, Evidence-based medicine, Electronic health record, Medical informatics