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Healthcare Informatics

Michael Popovich, Brandy Altstadter, Lara Hargraves Popovich, B S Biology
The Health Information Technology for Economic and Clinical Health (HITECH) Act encourages health information exchange between clinical care and public health through Meaningful Use measures. Meaningful Use specifically identifies objectives to support a number of public health programs including immunizations, cancer registries, syndromic surveillance, and disease case reports. The objective is to improve public and population health. Stage 2 of Meaningful Use focused on compliance to sending of information to public health...
2016: Online Journal of Public Health Informatics
Izet Masic
No abstract text is available yet for this article.
July 16, 2016: Acta Informatica Medica: AIM
Kuan Wang, Jiebo Luo
Recent years have witnessed an increasing interest in the application of machine learning to clinical informatics and healthcare systems. A significant amount of research has been done on healthcare systems based on supervised learning. In this study, we present a generalized solution to detect visually observable symptoms on faces using semi-supervised anomaly detection combined with machine vision algorithms. We rely on the disease-related statistical facts to detect abnormalities and classify them into multiple categories to narrow down the possible medical reasons of detecting...
December 2016: EURASIP Journal on Bioinformatics & Systems Biology
Arielle M Fisher, Michael Q Ding, Harry Hochheiser, Gerald P Douglas
BACKGROUND: Free and charitable clinics are a critical part of America's healthcare safety net. Although informatics tools have the potential to mitigate many of the organizational and service-related challenges facing these clinics, little research attention has been paid to the workflows and potential impact of electronic systems in these settings. In previous work, we performed a qualitative investigation at a free clinic dispensary to identify workflow challenges that may be alleviated through introduction of informatics interventions...
September 29, 2016: BMC Health Services Research
Peter Rijnbeek
Massive numbers of electronic health records are currently being collected globally, including structured data in the form of diagnoses, medications, laboratory test results, and unstructured data contained in clinical narratives. This opens unprecedented possibilities for research and ultimately patient care. However, actual use of these databases in a multi-center study is severely hampered by a variety of challenges, e.g., each database has a different database structure and uses different terminology systems...
September 2016: Journal of Hypertension
Ting Qian, Aaron J Masino
Commonly referred to as predictive modeling, the use of machine learning and statistical methods to improve healthcare outcomes has recently gained traction in biomedical informatics research. Given the vast opportunities enabled by large Electronic Health Records (EHR) data and powerful resources for conducting predictive modeling, we argue that it is yet crucial to first carefully examine the prediction task and then choose predictive methods accordingly. Specifically, we argue that there are at least three distinct prediction tasks that are often conflated in biomedical research: 1) data imputation, where a model fills in the missing values in a dataset, 2) future forecasting, where a model projects the development of a medical condition for a known patient based on existing observations, and 3) new-patient generalization, where a model transfers the knowledge learned from previously observed patients to newly encountered ones...
2016: PloS One
Harry Hochheiser, Melissa Castine, David Harris, Guergana Savova, Rebecca S Jacobson
BACKGROUND: Standards, methods, and tools supporting the integration of clinical data and genomic information are an area of significant need and rapid growth in biomedical informatics. Integration of cancer clinical data and cancer genomic information poses unique challenges, because of the high volume and complexity of clinical data, as well as the heterogeneity and instability of cancer genome data when compared with germline data. Current information models of clinical and genomic data are not sufficiently expressive to represent individual observations and to aggregate those observations into longitudinal summaries over the course of cancer care...
2016: BMC Medical Informatics and Decision Making
Luís Velez Lapão
The digital revolution is gradually transforming our society. What about the effects of digitalization and Internet of Things in healthcare? Among researchers two ideas are dominating, opposing each other. These arguments will be explored and analyzed. A mix-method approach combining literature review with the results from a focus group on eHealth impact on employment is used. Several experts from the WHO and from Health Professional Associations contributed for this analysis. Depending on the type of service it will entail reductions or more need of healthcare workers, yet whatever the scenario medical informatics will play an increasing role...
2016: Studies in Health Technology and Informatics
Katherine N Cahill, Christina B Johns, Jing Cui, Paige Wickner, David W Bates, Tanya M Laidlaw, Patrick E Beeler
BACKGROUND: Aspirin-exacerbated respiratory disease (AERD) is characterized by 3 clinical features: asthma, nasal polyposis, and respiratory reactions to cyclooxygenase-1 inhibitors (nonsteroidal anti-inflammatory drugs). Electronic health records (EHRs) contain information on each feature of this triad. OBJECTIVE: We sought to determine whether an informatics algorithm applied to the EHR could electronically identify patients with AERD. METHODS: We developed an informatics algorithm to search the EHRs of patients aged 18 years and older from the Partners Healthcare system over a 10-year period (2004-2014)...
July 25, 2016: Journal of Allergy and Clinical Immunology
Christopher A Harle, Gloria Lipori, Robert W Hurley
INTRODUCTION: Advances in health policy, research, and information technology have converged to increase the electronic collection and use of patient-reported outcomes (PROs). Therefore, it is important to share lessons learned in implementing PROs in research information systems. CASE DESCRIPTION: The purpose of this case study is to describe a novel information system for electronic PROs and lessons learned in implementing that system to support research in an academic health center...
2016: EGEMS
Guillermo Molina Recio, Laura García-Hernández, Rafael Molina Luque, Lorenzo Salas-Morera
BACKGROUND: Several studies have estimated the potential economic and social impact of the mHealth development. Considering the latest study by Institute for Healthcare Informatics, more than 165.000 apps of health and medicine are offered including all the stores from different platforms. Thus, the global mHealth market was an estimated $10.5 billion in 2014 and is expected to grow 33.5 percent annually between 2015 and 2020s. In fact, apps of Health have become the third-fastest growing category, only after games and utilities...
2016: Biomedical Engineering Online
(no author information available yet)
There's never been a more exciting time to be involved with health informatics. In the last few decades, health informaticians have established the knowledge base and practical expertise to facilitate the development of ever-more capable technical systems, increasing connectivity, expanding access and greater mobility of e-health and information management systems. We have seen the evolution from simple computer based records to systems that allow intra-organisational, national, even international communication and information exchange...
2016: Studies in Health Technology and Informatics
Frederick North, Samuel Fox, Rajeev Chaudhry
BACKGROUND: Risk calculation is increasingly used in lipid management, congestive heart failure, and atrial fibrillation. The risk scores are then used for decisions about statin use, anticoagulation, and implantable defibrillator use. Calculating risks for patients and making decisions based on these risks is often done at the point of care and is an additional time burden for clinicians that can be decreased by automating the tasks and using clinical decision-making support. METHODS: Using Morae Recorder software, we timed 30 healthcare providers tasked with calculating the overall risk of cardiovascular events, sudden death in heart failure, and thrombotic event risk in atrial fibrillation...
2016: BMC Medical Informatics and Decision Making
Roger Y Chung, Stewart W Mercer, Benjamin H K Yip, Stephanie W C Chan, Francisco T T Lai, Harry H X Wang, Martin C S Wong, Carmen K M Wong, Regina W S Sit, Eng-Kiong Yeoh, Samuel Y S Wong
Using data collected from 25,780 Hong Kong citizens in a household survey, this study aimed to investigate the association between having regular source of primary care and hospitalization amongst people with and without multimorbidity (two or more chronic conditions). Potential interaction effects of regular primary care with multimorbidity were also examined. Results revealed a significant association between having regular source of primary care from General Practitioners and reduced hospitalization amongst respondents with multimorbidity (RR = 0...
2016: Scientific Reports
Marjorie A Vogt, Barbara H Schaffner
Nursing education is challenged to prepare students for complex healthcare needs through the integration of teamwork and informatics. Technology has become an important teaching tool in the blended classroom to enhance group based learning experiences. Faculty evaluation of classroom technologies is imperative prior to adoption. Few studies have directly compared various technologies and their impact on student satisfaction and learning. The purpose of this study was to evaluate technology enhanced teaching methods on the learning and satisfaction of graduate students in an advanced pharmacology class using an unfolding case study...
July 2016: Nurse Education in Practice
(no author information available yet)
The current volume presents the accepted papers of the ICIMTH (International Conference on Informatics, Management, and Technology in Healthcare) Conference, which is being held from 1 to 3 July 2016 in Athens, Greece. The ICIMTH 2016 Conference is the 14th Annual Conference in this series of scientific events, gathering scientists from all continents as well as from the hosting country, in the field of Biomedical and Health Informatics. The main theme of the Conference is unifying the applications and foundations of Biomedical Informatics in the whole spectrum from Clinical Informatics, Health Informatics to Public Health Informatics as applied in the Healthcare domain...
2016: Studies in Health Technology and Informatics
Rodolfo A Fiorini, Piero De Giacomo, Luciano L'Abate
The proper use of healthcare informatics technology and multidimensional conceptual clarity are fundamental to create and boost outstanding clinical and telepractice results. Avoiding even terminology ambiguities is mandatory for high quality of care service. For instance, well-being or wellbeing is a different way to write the same concept only, or there is a good deal of ambiguity around the meanings of these terms the way they are written. In personal health, healthcare and healthcare informatics, this kind of ambiguity and lack of conceptual clarity has been called out repeatedly over the past 50 years...
2016: Studies in Health Technology and Informatics
Richard W Jones, George Despotou
Root Cause Analysis (RCA) is the most widely used system analysis tool for investigating safety related incidents in healthcare. This contribution reviews RCA techniques, using a Health Informatics example, and discusses barriers to their successful uptake by healthcare organisations. It is concluded that a critical assessment to examine the uptake and evaluate the success of RCA, and other safety related techniques, within healthcare is long overdue.
2016: Studies in Health Technology and Informatics
(no author information available yet)
On behalf of the Scientific Program Committee, I extend a warm welcome to the IMIA-NI members, students, practitioners, informatics researchers, industry partners, and others interested in health and nursing informatics who have come to attend the NI 2016, 13th International Congress on Nursing Informatics. NI 2016 is a biennial conference of the IMIA-NI and the leading scientific meeting for health and nursing informatics research and practice. NI 2016 presents work not only from the discipline of nursing but also from many other disciplines and specialties including both basic and applied informatics...
2016: Studies in Health Technology and Informatics
Kavitha Karthik, Suresh Munuswamy
This proposed study will be conducted in Telangana and Tamil Nadu states in India. Mapping of Health care Professionals by a web-based Delphi technique followed by Focus Group Discussion and Evaluation of Knowledge, Attitude, Practise and Adoption among Health Care Professionals for informatics/computerised technology systems by using structured questionnaire for knowledge and practice and for Attitudes toward Computers in Healthcare (P.A.T.C.H.) Scale will be used to collect the data. This study results will create evidence on present and relevant informatics/computerized technology systems needs and help the research team to develop informatics competencies list and design an online or offline skill up gradation programs for health professionals in India according to their diverse roles in the health care system...
2016: Studies in Health Technology and Informatics
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