Shared clinical information is an important contribution to regional medicine. Clinical information sharing with patients is also recommended to motivate patients and promote health. On the other hand, the threat of information leaks, caused by internet connected records, is critical to hospitals. The traditional approach is complete isolation of hospital networks, instead of information sharing. The authors propose methods here to maximize information sharing by following hospital preferences for electronic health records.
The present paper deals with intellectual systems for patient's level adherence determination. The most popular novadays technique for adherence evaluation is interview. We advise new automation approach, which compares direct pation data with treatment plan using fuzzy logic and stanard ISO 13606. For this research data entered by users. The results can be useful for medical organisation with lind-term patients.
Oldagesolutions.org is a web portal for older persons in india created as apart of Technology Interventations for Elderly (TIE) intitated by the science and society division for benefit of elderly people keeping in view of the National Policy on Older People (NPOP). This is a collative effort of the multidisplinary team at All India Institute of Medical Sciences (AIIMS) comprising of doctors, genetic nurses, netritionist and physiotherapists who provide their valuable collective insights for an elderly centric approach.
Many isolated EHRs in Japan hinders the availability of patients' clinical data who need treatment in a region outside the scope of their local EHR. We propose a timelier approach that increases availability of patient clinical data to unknown doctors and has the patient and their representative involved; they can grant access to doctors who are anonymous to the patients' local EHR domain.
Matthew E. Nolan, Brian W. Pickering, Vitaly Herasevich
1309 - 1309
Clinical research often requires direct observation of clinicians performing routine tasks, but few effective data collection instruments exist. We describe the development of DOCtimer – a web-based, platform-independent timing and counting application that allows researchers to easily record numerous tracking elements on a single screen, faciltating robust data collection for direct observational research.
With healthcare coming into the era of Precision Healthcare, it will facilitate the development of health informatics from information processing, integration, analysis, application and other uses. If we ignore the e-health development of developing areas, it will bring a health digital divide. This study takes Yunnan province as an example, and analyzes the problems of e-health development in a developing area, hoping to get more attention from researchers and regulators.
Jonathan L. Schaffer, Peter Haddad, Nilmini Wickramasinghe
1311 - 1311
The healthcare industry is increasingly investing in information systems / Information technology to enhance patient outcomes and organizational performance. This study qualitatively investigates the relationship between the overall satisfaction and five key aspects of clinical information systems. The results show that intuitive, easy-to-use, and collaboration enabling systems are more likely to satisfy users. The level of technical support and training also play key roles in determining user satisfaction in the clinical domain.
The policies that address health information exchanges for research purposes in Australia, Austria, Finland, Switzerland, and the USA apply accountability and/or adequacy to protect privacy. Specific requirements complicate the exchanges: inform data subjects of data use purposes; assure that the subjects are no longer identifiable; destroy the data in the end; and not to use cloud computing without specific permission.
Nilmini Wickramasinghe, Peter Haddad, Imran Muhammad
1313 - 1313
The adoption of clinical information systems by healthcare organizations has become a strategic necessity today. For these situations to be successful, their fit becomes an important consideration. This research-in-progress study assesses the fit of three different clinical information systems in an Australian private not-for-profit healthcare group, and the readiness of this organization to adopt these systems. In so doing, it identifies key factors for the successful adoption of IS/IT in healthcare contexts. The study adopts a mixed methods approach using semi-structured interviews and an online survey.
To explore the current status, attitudes and barriers of nursing undergraduates toward mobile learning, 157 nursing students were investigated. more than half of them used mobile learning frequently in past half year. The mean score of students' intention towards mobile learning was 10.5 (ranged from 6 to 15), and it related to students' gender, expected effect, ease of operation, influence of other students, self-learning management and perceived interest. Some barriers affected students' mobile learning. Therefore, students had positive attitude and perception toward mobile learning, then we should create enough conditions to promote students' mobile learning.
T. Xu, V.S. Thiemann, R. Röhrig, D. Brammen, R.W. Majeed
1315 - 1315
As part of the German Project AKTIN, data security arises as an important issue. The context of this issue was detailed and the requirements were determined, with special focus on the hospital's point of view. The solution is illustrated in this poster. Further use cases in other medical or study context are also discussed.
José Astudillo, Javier Zelechower, Francisco Traversaro, Francisco Redelico, Daniel Luna, Fernan Quiros, Marcelo Risk, Eduardo San Román
1319 - 1319
Intensive care represents the critical care setting of a hospital, where fundamental, precise, and fast decisions have to be made. These decisions will affect the outcome of the patients in a matter of few hours. The knowledge of the therapeutic interventions applied in this setting is evolving, thus the perspective of Big Data may provide a new paradigm in the ICU. The conformation of a multidisciplinary team is essential to develop Big Data in the ICU.
Medical and nursing students need to be trained in critical evaluation of mobile health applications (m-health apps) in order to see their potential and to understand the need for their validation and certification. Students should develop positive attitudes but also critical views on such apps in order to be prepared for responsible and ethical use of m-health in their future professional practice.
Jamila Chihab, Hildegard Franke, Ian McNicoll, Matthew W. Darlison
1321 - 1321
We present the first public openEHR archetypes and templates for physiotherapy, and the context of multidisciplinary academic-industry partnership that has enabled their production by a team led by a clinically trained student on the UCL health informatics MSc programme.
Lilian Mie Mukai Cintho, Diego Garcia, Bruno Henrique da Silva Santos, Lucia Sacchi, Silvana Quaglini, Claudia Maria Cabral Moro
1322 - 1322
Studies describing Computer-Interpretable Clinical Guidelines (CIG) with temporal constrains (TC) generally have not addressed issues related to their integration into Electronic Health Record (EHR) systems. This study aimed to represent TCs contained in clinical guidelines by applying archetypes and Guideline Definition Language (GDL) to incorporate decision support into EHRs. An example of each TC class in the clinical guideline for management of Atrial Fibrillation was represented using archetypes and GDL.
Diagnostic delay involves the peril of information becoming outdated. It is a challenging task to quantify the up-to-dateness of clinical information and the consequences of diagnostic delay with the goal of considering them in clinical decision support. We propose an approach to integrating the up-to-dateness of clinical information in a model-based therapy decision support system.
Critical decisions are made at tumor boards (TB). Further research is needed to guide the design and implementation of clinical decision support systems (CDSS) for highly interactive, fast-paced, and complex TB decision making. We highlight two key human factors that should be considered in the design and Implementation of CDSS for multidisciplinary deliberations: cognitive burden and trust.
Yi Hong, Ying Zhu, Selen Bozkurt, Jin Zhang, Charles E. Kahn Jr.
1325 - 1325
This study provides insights that could help to improve the Radiological Society of North America (RSNA) Reporting Template Digital Library, based on a usability evaluation. The results show that most users have been satisfied with the website. The general comments for the library are positive, although the participants suggested quite a few areas to improve. About 40% are returning visitors which means people often come back to the website.
Guoqian Jiang, Richard Kiefer, Eric Prud'hommeaux, Harold R. Solbrig
1327 - 1327
The OHDSI Common Data Model (CDM) is a deep information model, in which its vocabulary component plays a critical role in enabling consistent coding and query of clinical data. The objective of the study is to create methods and tools to expose the OHDSI vocabularies and mappings as the vocabulary mapping services using two HL7 FHIR core terminology resources ConceptMap and ValueSet. We discuss the benefits and challenges in building the FHIR-based terminology services.
Mass screening of adults was performed to manage employee healthcare. The screening service defined the data collection format as HL7 Clinical Document Architecture (CDA) R2. To capture mass screening data for nationwide electronic health records (her), we programmed a model within the CDA format and mapped the data items to the ISO13606/openEHR archetype for semantic interoperabiilty.
The efficiency and acceptance of clinical decision support systems (CDSS) can increase if they reuse medical data captured during health care delivery. High heterogeneity of the existing legacy data formats has become the main barrier for the reuse of data.
Hao Liu, Ling Zheng, Yehoshua Perl, Yan Chen, Gai Elhanan
1330 - 1330
In previous research we have shown that hierarchically complex overlapping concepts have a higher error rate of errors versus control concepts. In this poster we show an exmaple from Neoplasm concepts of the NCI thesaurus (NCIt) demonstrating that erroneous overplapping concepts, reflected in the partial-area units of a partial-area taxonomy, display visual complexity. Furthermore, correcting these erroneous concepts causes visual simplification.
We propose a cognitive system for patient-centric care that leverages and combines natural language processing, semantics, and learning from users over time to support care professionals working with large volumes of patient notes. The proposed methods highlight the entities embedded in the unstructured data to provide a holistic semantic view of an individual. A user-based evaluation is presented, showing consensus between the users and the system.