Abstract:BackgroundThe dual model approach represents a promising solution for achieving semantically interoperable standardized electronic health record (EHR) exchange. Its acceptance, however, will depend on the effort required for integrating archetypes into legacy EHR systems.MethodsWe propose a corresponding approach that: (a) automatically generates entry forms in legacy EHR systems from archetypes; and (b) allows the immediate export of EHR documents that are recorded via the generated forms and stored in the EH… Show more
“…Although interactivity is generally sought by people experiencing schizophrenia spectrum disorders or other psychotic disorders, sites devoted to schizophrenia and psychoses offer limited interactivity when compared to other information sites [71]. …”
BackgroundStudies show that the Internet has become an influential source of information for people experiencing serious psychiatric conditions such as schizophrenia spectrum disorders or other psychotic disorders, among which the rate of Internet users is growing, with rates ranging from 33.3% to 79.5% given the country. Between 20.5% and 56.4% of these Internet users seek mental health information.ObjectiveFocusing on this population’s Web searches about their mental health, this paper examines what type of content they look for and what could be the benefits and disadvantages of this navigation.MethodsWe conducted a literature review through medical and psychological databases between 2000 and 2015 using the keywords “Internet,” “Web,” “virtual,” “health information,” “schizophrenia,” “psychosis,” “e-mental health,” “e-support,” and “telepsychiatry.”ResultsPeople experiencing schizophrenia spectrum disorders or other psychotic disorders wish to find on the Internet trustful, nonstigmatizing information about their disease, flexibility, security standards, and positive peer-to-peer exchanges. E-mental health also appears to be desired by a substantial proportion of them. In this field, the current developments towards intervention and early prevention in the areas of depression and bipolar and anxiety disorders become more and more operational for schizophrenia spectrum disorders and other psychotic disorders as well. The many benefits of the Internet as a source of information and support, such as empowerment, enhancement of self-esteem, relief from peer information, better social interactions, and more available care, seem to outbalance the difficulties.ConclusionsIn this paper, after discussing the challenges related to the various aspects of the emergence of the Internet into the life of people experiencing schizophrenia spectrum disorders or other psychotic disorders, we will suggest areas of future research and practical recommendations for this major transition.
“…Although interactivity is generally sought by people experiencing schizophrenia spectrum disorders or other psychotic disorders, sites devoted to schizophrenia and psychoses offer limited interactivity when compared to other information sites [71]. …”
BackgroundStudies show that the Internet has become an influential source of information for people experiencing serious psychiatric conditions such as schizophrenia spectrum disorders or other psychotic disorders, among which the rate of Internet users is growing, with rates ranging from 33.3% to 79.5% given the country. Between 20.5% and 56.4% of these Internet users seek mental health information.ObjectiveFocusing on this population’s Web searches about their mental health, this paper examines what type of content they look for and what could be the benefits and disadvantages of this navigation.MethodsWe conducted a literature review through medical and psychological databases between 2000 and 2015 using the keywords “Internet,” “Web,” “virtual,” “health information,” “schizophrenia,” “psychosis,” “e-mental health,” “e-support,” and “telepsychiatry.”ResultsPeople experiencing schizophrenia spectrum disorders or other psychotic disorders wish to find on the Internet trustful, nonstigmatizing information about their disease, flexibility, security standards, and positive peer-to-peer exchanges. E-mental health also appears to be desired by a substantial proportion of them. In this field, the current developments towards intervention and early prevention in the areas of depression and bipolar and anxiety disorders become more and more operational for schizophrenia spectrum disorders and other psychotic disorders as well. The many benefits of the Internet as a source of information and support, such as empowerment, enhancement of self-esteem, relief from peer information, better social interactions, and more available care, seem to outbalance the difficulties.ConclusionsIn this paper, after discussing the challenges related to the various aspects of the emergence of the Internet into the life of people experiencing schizophrenia spectrum disorders or other psychotic disorders, we will suggest areas of future research and practical recommendations for this major transition.
“…Consistently, in a previous analysis to understand trade-offs African Americans and Whites employ in making cancer pain decisions, we found that African Americans were more likely to make analgesic use decisions based on side-effects whereas Whites were more likely to make analgesic use decisions based on amount of relief expected from using pain medications. 24 …”
Despite well-documented disparities in cancer pain outcomes among African Americans, surprisingly little research exists on adherence to analgesia for cancer pain in this group. We compared analgesic adherence for cancer-related pain over a 3-month period between African Americans and Whites using Medication Event Monitoring System [MEMS]. Patients (n=207) were recruited from outpatient medical oncology clinics of an academic medical center in Philadelphia [≥18 years of age, diagnosed with solid tumors or multiple myeloma, with cancer-related pain, and at least one prescription of oral around-the-clock analgesic (ATC)]. African Americans reported significantly greater cancer pain (P<.001), were less likely than Whites to have a prescription of long acting opioids (P<.001), and more likely to have a negative pain management index (P<.001). There were considerable differences between African Americans and Whites in the overall MEMS dose adherence, i.e., percentage of the total number of prescribed doses that were actually taken (53% vs. 74%, P<.001). On sub-analysis, analgesic adherence rates for African Americans ranged from 34% (for weak opioids) to 63% (for long acting opioids). Unique predictors of analgesic adherence varied by race; income levels, analgesic side-effects, and fear of distracting providers predicted analgesic adherence for African Americans but not for Whites.
“…This approach enables the development of specific transformationss that produce the artefacts needed for a certain use case. Similar approaches for generating entry forms based on openEHR CIMs were presented by Atalag [25], Chen [32] and Duftschmid [33]. Fig.…”
BackgroundSmart Health is known as a concept that enhances networking, intelligent data processing and combining patient data with other parameters. Open data models can play an important role in creating a framework for providing interoperable data services that support the development of innovative Smart Health applications profiting from data fusion and sharing.MethodsThis article describes a model-driven engineering approach based on standardized clinical information models and explores its application for the development of interoperable electronic health record systems. The following possible model-driven procedures were considered: provision of data schemes for data exchange, automated generation of artefacts for application development and native platforms that directly execute the models. The applicability of the approach in practice was examined using the openEHR framework as an example.ResultsA comprehensive infrastructure for model-driven engineering of electronic health records is presented using the example of the openEHR framework. It is shown that data schema definitions to be used in common practice software development processes can be derived from domain models. The capabilities for automatic creation of implementation artefacts (e.g., data entry forms) are demonstrated. Complementary programming libraries and frameworks that foster the use of open data models are introduced. Several compatible health data platforms are listed. They provide standard based interfaces for interconnecting with further applications.ConclusionOpen data models help build a framework for interoperable data services that support the development of innovative Smart Health applications. Related tools for model-driven application development foster semantic interoperability and interconnected innovative applications.
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