PharmActa: Personalized pharmaceutical care eHealth platform for patients and pharmacists.

Abstract:

:Community pharmacists are critically placed in the patient care chain being an extended frontline within primary healthcare networks across Europe. They are trained to ensure safe and effective medication use, a crucial and responsible role, extending beyond the common misconception limited to just providing timely access to medicines for the population. Technology-wise, eHealth being committed to an effective, networked, patient-centered and accessible healthcare would prove a real asset in this direction by achieving improved therapy adherence with better outcomes and direct contribution to a cost-effective healthcare system. In this work, we present PharmActa, a personalized eHealth platform that addresses key features of pharmaceutical care and enhances communication of pharmacists with patients for optimizing pharmacotherapy. PharmActa empowers patients by providing pharmaceutical care services, such as drug interactions tools, reminders for assisting adhesion and compliance, information regarding adverse drug reactions, as well as pharmacovigilance along with related tools for healthcare management. In addition, it allows the pharmacists to review the medication history in order to provide personalized pharmaceutical care services; thus enhancing their role as healthcare providers. Finally, a mechanism allowing such a system to be interconnected with a developed medical repository following European and International interoperability standards, is also presented. Thus far, the evaluation results presented in this work indicate that PharmActa can be of great benefit to healthcare professionals, especially pharmacists and patients.

journal_name

J Biomed Inform

authors

Spanakis M,Sfakianakis S,Kallergis G,Spanakis EG,Sakkalis V

doi

10.1016/j.jbi.2019.103336

subject

Has Abstract

pub_date

2019-12-01 00:00:00

pages

103336

eissn

1532-0464

issn

1532-0480

pii

S1532-0464(19)30255-2

journal_volume

100

pub_type

杂志文章
  • Identifying complexity in infectious diseases inpatient settings: An observation study.

    abstract:BACKGROUND:Understanding complexity in healthcare has the potential to reduce decision and treatment uncertainty. Therefore, identifying both patient and task complexity may offer better task allocation and design recommendation for next-generation health information technology system design. OBJECTIVE:To identify spe...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2016.10.018

    authors: Roosan D,Weir C,Samore M,Jones M,Rahman M,Stoddard GJ,Del Fiol G

    更新日期:2017-07-01 00:00:00

  • Grounding a new information technology implementation framework in behavioral science: a systematic analysis of the literature on IT use.

    abstract::Many interventions to improve the success of information technology (IT) implementations are grounded in behavioral science, using theories, and models to identify conditions and determinants of successful use. However, each model in the IT literature has evolved to address specific theoretical problems of particular ...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章,评审

    doi:10.1016/j.jbi.2003.09.002

    authors: Kukafka R,Johnson SB,Linfante A,Allegrante JP

    更新日期:2003-06-01 00:00:00

  • Modelling and analysing the dynamics of disease progression from cross-sectional studies.

    abstract::Clinical trials are typically conducted over a population within a defined time period in order to illuminate certain characteristics of a health issue or disease process. These cross-sectional studies give us a 'snapshot' of this disease process over a large number of people but do not allow us to model the temporal ...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2012.11.003

    authors: Li Y,Swift S,Tucker A

    更新日期:2013-04-01 00:00:00

  • Integrated network analysis of symptom clusters across disease conditions.

    abstract::Identifying the symptom clusters (two or more related symptoms) with shared underlying molecular mechanisms has been a vital analysis task to promote the symptom science and precision health. Related studies have applied the clustering algorithms (e.g. k-means, latent class model) to detect the symptom clusters mostly...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103482

    authors: Lu K,Yang K,Niyongabo E,Shu Z,Wang J,Chang K,Zou Q,Jiang J,Jia C,Liu B,Zhou X

    更新日期:2020-07-01 00:00:00

  • Comparison of reversible-jump Markov-chain-Monte-Carlo learning approach with other methods for missing enzyme identification.

    abstract::Computational identification of missing enzymes plays a significant role in accurate and complete reconstruction of metabolic network for both newly sequenced and well-studied organisms. For a metabolic reaction, given a set of candidate enzymes identified according to certain biological evidences, a powerful mathemat...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2007.09.002

    authors: Geng B,Zhou X,Zhu J,Hung YS,Wong ST

    更新日期:2008-04-01 00:00:00

  • Colorado Care Tablet: the design of an interoperable Personal Health Application to help older adults with multimorbidity manage their medications.

    abstract::Medication errors are common and cause serious health issues during care transitions, particularly for older adults with multiple chronic conditions. In this paper, we discuss the design and evaluation of the Colorado Care Tablet, a Personal Health Application (PHA) that helps older adults and their lay caregivers man...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2010.05.007

    authors: Siek KA,Ross SE,Khan DU,Haverhals LM,Cali SR,Meyers J

    更新日期:2010-10-01 00:00:00

  • An ontology-based measure to compute semantic similarity in biomedicine.

    abstract::Proper understanding of textual data requires the exploitation and integration of unstructured and heterogeneous clinical sources, healthcare records or scientific literature, which are fundamental aspects in clinical and translational research. The determination of semantic similarity between word pairs is an importa...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2010.09.002

    authors: Batet M,Sánchez D,Valls A

    更新日期:2011-02-01 00:00:00

  • Evaluation of an Enhanced Role-Based Access Control model to manage information access in collaborative processes for a statewide clinical education program.

    abstract:BACKGROUND:Managing information access in collaborative processes is a critical requirement to team-based biomedical research, clinical education, and patient care. We have previously developed a computation model, Enhanced Role-Based Access Control (EnhancedRBAC), and applied it to coordinate information access in the...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2013.11.007

    authors: Le XH,Doll T,Barbosu M,Luque A,Wang D

    更新日期:2014-08-01 00:00:00

  • Induction of comprehensible models for gene expression datasets by subgroup discovery methodology.

    abstract::Finding disease markers (classifiers) from gene expression data by machine learning algorithms is characterized by a high risk of overfitting the data due the abundance of attributes (simultaneously measured gene expression values) and shortage of available examples (observations). To avoid this pitfall and achieve pr...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2004.07.007

    authors: Gamberger D,Lavrac N,Zelezný F,Tolar J

    更新日期:2004-08-01 00:00:00

  • Facilitating pre-operative assessment guidelines representation using SNOMED CT.

    abstract:OBJECTIVE:To investigate whether SNOMED CT covers the terms used in pre-operative assessment guidelines, and if necessary, how the measured content coverage can be improved. METHODS:Pre-operative assessment guidelines were retrieved from the websites of (inter)national anesthesia-related societies. The recommendations...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2010.07.009

    authors: Ahmadian L,Cornet R,de Keizer NF

    更新日期:2010-12-01 00:00:00

  • Predicting severe clinical events by learning about life-saving actions and outcomes using distant supervision.

    abstract::Medical error is a leading cause of patient death in the United States. Among the different types of medical errors, harm to patients caused by doctors missing early signs of deterioration is especially challenging to address due to the heterogeneity of patients' physiological patterns. In this study, we implemented r...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103425

    authors: Lee DH,Yetisgen M,Vanderwende L,Horvitz E

    更新日期:2020-07-01 00:00:00

  • Characterizing and optimizing human anticancer drug targets based on topological properties in the context of biological pathways.

    abstract::One of the challenging problems in drug discovery is to identify the novel targets for drugs. Most of the traditional methods for drug targets optimization focused on identifying the particular families of "druggable targets", but ignored their topological properties based on the biological pathways. In this study, we...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2015.02.007

    authors: Zhang J,Wang Y,Shang D,Yu F,Liu W,Zhang Y,Feng C,Wang Q,Xu Y,Liu Y,Bai X,Li X,Li C

    更新日期:2015-04-01 00:00:00

  • Understanding infusion administration in the ICU through Distributed Cognition.

    abstract::To understand how healthcare technologies are used in practice and evaluate them, researchers have argued for adopting the theoretical framework of Distributed Cognition (DC). This paper describes the methods and results of a study in which a DC methodology, Distributed Cognition for Teamwork (DiCoT), was applied to s...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2012.02.003

    authors: Rajkomar A,Blandford A

    更新日期:2012-06-01 00:00:00

  • Analysis of microarray leukemia data using an efficient MapReduce-based K-nearest-neighbor classifier.

    abstract::Microarray-based gene expression profiling has emerged as an efficient technique for classification, prognosis, diagnosis, and treatment of cancer. Frequent changes in the behavior of this disease generates an enormous volume of data. Microarray data satisfies both the veracity and velocity properties of big data, as ...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2016.03.002

    authors: Kumar M,Rath NK,Rath SK

    更新日期:2016-04-01 00:00:00

  • An automated reasoning framework for translational research.

    abstract::In this paper we propose a novel approach to the design and implementation of knowledge-based decision support systems for translational research, specifically tailored to the analysis and interpretation of data from high-throughput experiments. Our approach is based on a general epistemological model of the scientifi...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2009.11.005

    authors: Riva A,Nuzzo A,Stefanelli M,Bellazzi R

    更新日期:2010-06-01 00:00:00

  • Chronic disease modeling and simulation software.

    abstract::Computers allow describing the progress of a disease using computerized models. These models allow aggregating expert and clinical information to allow researchers and decision makers to forecast disease progression. To make this forecast reliable, good models and therefore good modeling tools are required. This paper...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2010.06.003

    authors: Barhak J,Isaman DJ,Ye W,Lee D

    更新日期:2010-10-01 00:00:00

  • A comparison of two methods for retrieving ICD-9-CM data: the effect of using an ontology-based method for handling terminology changes.

    abstract:OBJECTIVE:Most existing controlled terminologies can be characterized as collections of terms, wherein the terms are arranged in a simple list or organized in a hierarchy. These kinds of terminologies are considered useful for standardizing terms and encoding data and are currently used in many existing information sys...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2011.01.005

    authors: Yu AC,Cimino JJ

    更新日期:2011-04-01 00:00:00

  • Quality assurance of chemical ingredient classification for the National Drug File - Reference Terminology.

    abstract::The National Drug File - Reference Terminology (NDF-RT) is a large and complex drug terminology consisting of several classification hierarchies on top of an extensive collection of drug concepts. These hierarchies provide important information about clinical drugs, e.g., their chemical ingredients, mechanisms of acti...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2017.07.013

    authors: Zheng L,Yumak H,Chen L,Ochs C,Geller J,Kapusnik-Uner J,Perl Y

    更新日期:2017-09-01 00:00:00

  • A kernel-based clustering method for gene selection with gene expression data.

    abstract::Gene selection is important for cancer classification based on gene expression data, because of high dimensionality and small sample size. In this paper, we present a new gene selection method based on clustering, in which dissimilarity measures are obtained through kernel functions. It searches for best weights of ge...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2016.05.007

    authors: Chen H,Zhang Y,Gutman I

    更新日期:2016-08-01 00:00:00

  • Medical speciality classification system based on binary particle swarms and ensemble of one vs. rest support vector machines.

    abstract::Nowadays, artificial intelligence plays an integral role in medical and healthcare informatics. Developing an automatic question classification and answering system is essential for coping with constant advancements in science and technology. However, efficient online medical services are required to promote offline m...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103525

    authors: Faris H,Habib M,Faris M,Alomari M,Alomari A

    更新日期:2020-09-01 00:00:00

  • A comparison of machine learning methods for the diagnosis of pigmented skin lesions.

    abstract::We analyze the discriminatory power of k-nearest neighbors, logistic regression, artificial neural networks (ANNs), decision tress, and support vector machines (SVMs) on the task of classifying pigmented skin lesions as common nevi, dysplastic nevi, or melanoma. Three different classification tasks were used as benchm...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1006/jbin.2001.1004

    authors: Dreiseitl S,Ohno-Machado L,Kittler H,Vinterbo S,Billhardt H,Binder M

    更新日期:2001-02-01 00:00:00

  • Personal discovery in diabetes self-management: Discovering cause and effect using self-monitoring data.

    abstract:OBJECTIVE:To outline new design directions for informatics solutions that facilitate personal discovery with self-monitoring data. We investigate this question in the context of chronic disease self-management with the focus on type 2 diabetes. MATERIALS AND METHODS:We conducted an observational qualitative study of d...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2017.09.013

    authors: Mamykina L,Heitkemper EM,Smaldone AM,Kukafka R,Cole-Lewis HJ,Davidson PG,Mynatt ED,Cassells A,Tobin JN,Hripcsak G

    更新日期:2017-12-01 00:00:00

  • Prediction of influenza vaccination outcome by neural networks and logistic regression.

    abstract::The major challenge in influenza vaccination is to predict vaccine efficacy. The purpose of this study was to design a model to enable successful prediction of the outcome of influenza vaccination based on real historical medical data. A non-linear neural network approach was used, and its performance compared to logi...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2010.04.011

    authors: Trtica-Majnaric L,Zekic-Susac M,Sarlija N,Vitale B

    更新日期:2010-10-01 00:00:00

  • A novel web informatics approach for automated surveillance of cancer mortality trends.

    abstract::Cancer surveillance data are collected every year in the United States via the National Program of Cancer Registries (NPCR) and the Surveillance, Epidemiology and End Results (SEER) Program of the National Cancer Institute (NCI). General trends are closely monitored to measure the nation's progress against cancer. The...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2016.03.027

    authors: Tourassi G,Yoon HJ,Xu S

    更新日期:2016-06-01 00:00:00

  • Predicting changes in systolic blood pressure using longitudinal patient records.

    abstract:OBJECTIVE:This paper introduces a model that predicts future changes in systolic blood pressure (SBP) based on structured and unstructured (text-based) information from longitudinal clinical records. METHOD:For each patient, the clinical records are sorted in chronological order and SBP measurements are extracted from...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2015.06.024

    authors: Solomon JW,Nielsen RD

    更新日期:2015-12-01 00:00:00

  • Interacting agents through a web-based health serviceflow management system.

    abstract::The management of chronic and out-patients is a complex process which requires the cooperation of different agents belonging to several organizational units. Patients have to move to different locations to access the necessary services and to communicate their health status data. From their point of view there should ...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2006.12.002

    authors: Leonardi G,Panzarasa S,Quaglini S,Stefanelli M,van der Aalst WM

    更新日期:2007-10-01 00:00:00

  • A machine-learned knowledge discovery method for associating complex phenotypes with complex genotypes. Application to pain.

    abstract:BACKGROUND:The association of genotyping information with common traits is not satisfactorily solved. One of the most complex traits is pain and association studies have failed so far to provide reproducible predictions of pain phenotypes from genotypes in the general population despite a well-established genetic basis...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2013.07.010

    authors: Lötsch J,Ultsch A

    更新日期:2013-10-01 00:00:00

  • On the reproducibility of results of pathway analysis in genome-wide expression studies of colorectal cancers.

    abstract::One of the major problems in genomics and medicine is the identification of gene networks and pathways deregulated in complex and polygenic diseases, like cancer. In this paper, we address the problem of assessing the variability of results of pathways analysis identified in different and independent genome wide expre...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2009.09.005

    authors: Maglietta R,Distaso A,Piepoli A,Palumbo O,Carella M,D'Addabbo A,Mukherjee S,Ancona N

    更新日期:2010-06-01 00:00:00

  • Does the use of structured reporting improve usability? A comparative evaluation of the usability of two approaches for findings reporting in a large-scale telecardiology context.

    abstract::One of the main reasons that leads to a low adoption rate of telemedicine systems is poor usability. An aspect that influences usability during the reporting of findings is the input mode, e.g., if a free-text (FT) or a structured report (SR) interface is employed. The objective of our study is to compare the usabilit...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2014.07.002

    authors: Lacerda TC,von Wangenheim CG,von Wangenheim A,Giuliano I

    更新日期:2014-12-01 00:00:00

  • Quantifying semantic similarity of clinical evidence in the biomedical literature to facilitate related evidence synthesis.

    abstract:OBJECTIVE:Published clinical trials and high quality peer reviewed medical publications are considered as the main sources of evidence used for synthesizing systematic reviews or practicing Evidence Based Medicine (EBM). Finding all relevant published evidence for a particular medical case is a time and labour intensiv...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103321

    authors: Hassanzadeh H,Nguyen A,Verspoor K

    更新日期:2019-12-01 00:00:00