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PubMed2004

Universal electronic health record MUDR.

One of the important research tasks of the European Centre for Medical Informatics, Statistics and Epidemiology - Cardio (EuroMISE Centre - Cardio) is the applied research in the field of electronic health record design including electronic medical guidelines and intelligent systems for data mining and decision support. The research in the field of data storage and data acquisition was inspired by several European projects and standards, mostly by the I4C and TripleC projects. Based on experience gathered during cooperation in the TripleC project we have proposed a description of a flexible information storage model. The motivation for this effort was the large variability of the set of collected features in different departments - including temporal variability. Therefore, a dynamically extensible and modifiable structure of items is needed. In our model we use two basic structures called the knowledge base and data files. The main function of the knowledge base is to express the hierarchy of collectable features - medical concepts, their characteristics and relations among them. The data files structure is used to store the patient's data itself. These two structures can be described using graph theory expressions. Based on this model, a three-layer system architecture named "Multimedia Distributed Record" (MUDR) has been proposed and implemented. During the implementation, modern technologies such as Web Services, SOAP and XML were used. For the practical usage of EHR MUDR, an intelligent application called MUDRc (MUDR Client) was created. It enables physicians to use EHR MUDR in a flexible way. During the development process, maximum emphasis was placed on user-friendliness and comfortable usage of this application. Several methods of data entry can be used: pre-defined forms, direct entry into the tree data structure of the EHR MUDR, or automatic unstructured free-text report parsing and data retrieval. The system enables fast and simple importing and exporting of data as well. The system integrates modern multimedia formats (X-ray photos, sonography and other pictures, video-sequences, audio records) as well as progressive methods of decision support systems realized by medical guidelines and other modules.

Artificial Intelligence↗

PubMed2006

Using the grid to analyze the pharmacokinetic modelling after contrast administration in dynamic MRI.

The analysis of the angiogenesis in hepatic lesions is an important marker of tumour aggressiveness and response to therapy. However, the quantitative analysis of this fact requires a deep knowledge of the hepatic perfusion. The development of pharmacokinetic models constitutes a very valuable tool, but it is computationally intensive. Moreover, abdominal imaging processing increases the computational requirements since the movement of the patient makes images in a time series incomparable, requiring a previous pre-processing. This work presents a Grid environment developed to deal with the computational demand of pharmacokinetic modelling. This article proposes and implements a four-level software architecture that provides a simple interface to the user and deals transparently with the complexity of Grid environment. The four layers implemented are: Grid Layer (the closest to the Grid infrastructure), the Gate-to- Grid (which transforms the user requests to Grid operations), the Web Services layer (which provides a simple, standard and ubiquitous interface to the user) and the Application Layer. An application has been developed on top of this architecture to manage the execution of multi-parametric groups of co-registration actions on a large set of medical images. The execution has been performed on the EGEE Grid infrastructure. The application is platform-independent and can be used from any computer without special requirements.

Computer Simulation↗

PubMedDate not supplied

[A computer system for the systematization of MR findings in knee joint diseases].

An inexpensive, easy-access computer-based system is proposed, which was developed for the systematization of the clinical series of knee joint disorders studied with Magnetic Resonance Imaging (MRI). The system is based upon the integration of multimedia technology and Data Base Management Systems (DBMS). The hardware configuration for this project included an Apple Macintosh workstation based on a Motorola 68040 microprocessor and a customized application developed by the authors with the 4th Dimension software. The MR images available only on film were digitized off-line with a solid-state Charge Coupled Device (CCD) scanner with back-light cover for transparency. Otherwise, MR images were acquired on-line through an Ethernet-based local area network from the MR unit or from a SparcStation-Advantage Windows workstation connected with the MR unit. Image post-processing was performed with the Adobe PhotoShop software. The system was devoted to the systematization and analysis of a clinical series of 800 MR studies of the knee. A mean of 10 significant MR images were stored for each examination with a standard image compression algorithm--the Joint Photographic Experts Group (JPEG). This permitted us to save the system's storage space and at the same time to preserve image quality for consultation and teaching purposes, not for diagnosis which is made on the backboard or on the MR unit's or Advantage Window's monitor. Finally, MR findings were indexed with a customized check-list specific for knee joint disorders. On the basis of stored and selected information, it was thus possible to carry out a statistical analysis and to make detailed reports which are useful for scientific purposes, such as the preparation of lectures and papers. Moreover, the system was very useful for patients' follow-up and for the preparation of hypermedia teaching applications on knee joint disorders which are available on the Internet at our World-Wide Web server (URL: http://mbox.unipa.it/radpa/radpa ++ +.html). In conclusion, the system is a cost-effective and user-friendly solution for the multipurpose management of radiologic series.

Humans↗

PubMed2003

Conceptual framework for a new tool for evaluating the quality of diabetes consumer-information Web sites.

BACKGROUND: Most existing tools for measuring the quality of Internet health information focus almost exclusively on structural criteria or other proxies for quality of information, rather than evaluating information accuracy and comprehensiveness. OBJECTIVE: This research sought to build a conceptual framework that could lay the groundwork for a robust performance-measurement system for evaluating the quality of Internet health information. METHODS: Application of the quality-of-care measurement paradigm to developing a conceptual framework for defining and evaluating the quality of diabetes consumer-information Web sites. RESULTS: Performance measures related to accuracy and comprehensiveness of information can be added to structural criteria to provide a more-robust approach to Web site evaluation. CONCLUSIONS: The development and implementation of a reliable and valid method for evaluating the quality of Internet health sites could provide lay people with a tool to identify useful content more easily and distinguish between beneficial and misleading information.

Diabetes Mellitus↗

PubMed2005

PDA application for collecting patient encounter data for Advanced Practice nursing students in a clinical setting.

UNLABELLED: Three years ago we developed a web-based clinical log for Advanced Practice nursing students to record patient encounters. Although it solved many problems, students complained about the time it would take to complete each encounter since they actually entered the data twice, once immediately after seeing the patient and later on the web. THE SOLUTION: Create a PDA version that students populate with data during the day and upload to the main database at night.

Computers, Handheld↗

PubMed2003

Efficient web-based navigation of the Foundational Model of Anatomy.

The University of Washington's Foundational Model of Anatomy (FMA)1 is a complex, frame-based model composed of over 170,000 frames collectively specified by more than 1.4 million slot values. The Foundational Model Explorer (FME) was designed to provide simple and intuitive web access to this complex knowledge base. The Foundational Model Explorer (FME) (Figure 1) is built upon the Protégé 2000 knowledge base access library [http://protege.stanford.edu/]. The FME application, associated libraries, and the FMA database all reside on remote servers. Users of the FME are not required to download, install, or set-up any of these components. The FME application, in response to a query, retrieves the appropriate information from the FMA, formats these data into html documents, and transmits them, via the Internet, back to the client where they can be viewed from any standard web browser

Anatomy↗

PubMed2003

Microplate based biosensing with a computer screen aided technique.

Melanophores, dark pigment cells from the frog Xenopus laevis, have the ability to change light absorbance upon stimulation by different biological agents. Hormone exposure (e.g. melatonin or alpha-melanocyte stimulating hormone) has been used here as a reversible stimulus to test a new compact microplate reading platform. As an application, the detection of the asthma drug formoterol in blood plasma samples is demonstrated. The present system utilizes a computer screen as a (programmable) large area light source, and a standard web camera as recording media enabling even kinetic microplate reading with a versatile and broadly available platform, which suffices to evaluate numerous bioassays. Especially in the context of point of care testing or self testing applications these possibilities become advantageous compared with highly dedicated comparatively expensive commercial systems.

Animals↗

PubMed2026

The application of artificial intelligence in healthcare practice: A mapping review of systematic reviews.

Artificial intelligence (AI) is rapidly transforming healthcare practice, with growing evidence supporting its use in diagnosis, prognosis, treatment planning, and operational decision-making. The proliferation of systematic reviews in recent years underscores the need for an updated synthesis of the literature to inform research, policy, and practice. We searched PubMed, Web of Science, Scopus, IEEE Xplore, and CINAHL for systematic reviews and meta-analyses published between 2019 and February 2026. Eligible reviews focused on AI applications in healthcare practice, were peer-reviewed, and written in English. A total of 368 reviews met the inclusion criteria. Publication volume increased steadily, peaking in 2025. AI research was concentrated in high-density domains, such as radiology, oncology, and critical care. Across reviews, diagnostic imaging, electronic health record (EHR) data, and biomarkers/laboratory results accounted for 68% of training data sources, though newer data types, such as wearable device and sensor data, emerged from 2022 onward. Diagnosis, prognosis, and treatment comprised over 80% of AI applications, with novel uses emerging in recent years, such as AI-assisted clinical documentation (e.g., ambient documentation tools) and patient education. Ethical concerns were reported in 78.5% of reviews, with privacy, model accuracy, data and algorithmic bias, and explainability as recurrent themes. The proportion of reviews reporting ethical concerns increased from 2021 to 2025. AI applications in healthcare are expanding in scope, diversifying in data sources, and evolving toward novel clinical and operational uses. The human-centered AI or augmented intelligence paradigm, integrating computational precision with clinical expertise, holds significant promise but will require parallel advances in governance, regulatory frameworks, and ethical oversight to ensure safe adoption.

Artificial Intelligence↗

PubMed1998

Web based 3-D medical image visualization on the PC.

With the recent advance of Web and its associated technologies, information sharing on distribute computing environments has gained a great amount of attention from many researchers in many application areas, such as medicine, engineering, and business. One basic requirement of distributed medical consultation systems is that geographically dispersed, disparate participants are allowed to exchange information readily with each other. Such software also needs to be supported on a broad range of computer platforms to increase the softwares accessibility. In this paper, the development of world-wide-web based medical consultation system for radiology imaging is addressed to provide platform independence and greater accessibility. The system supports sharing of 3-dimensional objects. We use VRML (Virtual Reality Modeling Language), which is the defacto standard in 3-D modeling on the Web. 3-D objects are reconstructed from CT or MRI volume data using a VRML format, which can be viewed and manipulated easily in Web-browsers with a VRML plug-in. A Marching cubes method is used in the transformation of scanned volume data sets to polygonal surfaces of VRML. A decimation algorithm is adopted to reduce the number of meshes in the resulting VRML file. 3-D volume data are often very large in size, hence loading the data on PC level computers requires a significant reduction of the size of the data, while minimizing the loss of the original shape information. This is also important to decrease network delays. A prototype system has been implemented (http://cybernet5.snu.ac.kr/-cyber/mrivrml .html), and several sessions of experiments are carried out.

Algorithms↗

PubMed2006

Cannibalism, food limitation, intraspecific competition, and the regulation of spider populations.

Cannibalism among generalist predators has implications for the dynamics of terrestrial food webs. Spiders are common, ubiquitous arthropod generalist predators in most natural and managed terrestrial ecosystems. Thus, the relationship of spider cannibalism to food limitation, competition, and population regulation has direct bearing on basic ecological theory and applications such as biological control. This review first briefly treats the different types of spider cannibalism and then focuses in more depth on evidence relating cannibalism to population dynamics and food web interactions to address the following questions: Is cannibalism in spiders a foraging strategy that helps to overcome the effects of a limited supply of calories and/or nutrients? Does cannibalism in spiders reduce competition for prey? Is cannibalism a significant density-dependent factor in spider population dynamics? Does cannibalism dampen spider-initiated trophic cascades?

Animals↗

PubMed2000

Internet resources for dentistry: computer, Internet, reference, and sites for enhancing personal productivity of the dental professional.

At the onset of the new millennium the Internet has become the new standard means of distributing information. In the last two to three years there has been an explosion of e-commerce with hundreds of new web sites being created every minute. For most corporate entities, a web site is as essential as the phone book listing used to be. Twenty years ago technologist directed how computer-based systems were utilized. Now it is the end users of personal computers that have gained expertise and drive the functionality of software applications. The computer, initially invented for mathematical functions, has transitioned from this role to an integrated communications device that provides the portal to the digital world. The Web needs to be used by healthcare professionals, not only for professional activities, but also for instant access to information and services "just when they need it." This will facilitate the longitudinal use of information as society continues to gain better information access skills. With the demand for current "just in time" information and the standards established by Internet protocols, reference sources of information may be maintained in dynamic fashion. News services have been available through the Internet for several years, but now reference materials such as online journals and digital textbooks have become available and have the potential to change the traditional publishing industry. The pace of change should make us consider Will Rogers' advice, "It isn't good enough to be moving in the right direction. If you are not moving fast enough, you can still get run over!" The intent of this article is to complement previous articles on Internet Resources published in this journal, by presenting information about web sites that present information on computer and Internet technologies, reference materials, news information, and information that lets us improve personal productivity. Neither the author, nor the Journal endorses any of the sites or products listed, but include these references and links as a matter of convenience for its readers.

Dentistry↗

PubMed1999

[Uniform access to clinical data in a distributed system. The radiology example].

PURPOSE: Providing medical reports onwards and ambulatory settings in electronic form can improve the quality of health care delivery. Radiology was chosen as an example to demonstrate how to implement uniform access to clinical data in a hospital. METHOD: Medical professionals at the university hospital in Munich, Grosshadern, have access to all radiological reports of their patients. Web browsers are used as a front end. A centralized administration of users and patients is in place. RESULTS: Centralized access control and patient selection guarantee uniform access to all applicable data via intranet and controls access rights. The high acceptance of this service is reflected by the high number of 150 requests per day. DISCUSSION: Access to radiological reports within the Grosshadern University Clinics was enabled via web browsers in a short time. The high acceptance of the system also proves its easy use. Integration of the system in a centralized user and patient identification system supports the unified access to clinical data.

Computer Security↗

PubMed1998

FluNet as a tool for global monitoring of influenza on the Web.

In collaboration with the Institut National de la Santé et de la Recherche Médicale, the World Health Organization (WHO) has developed an Internet application linking the global WHO network of influenza centers (FluNet; http://oms.b3e.jussieu.fr/flunet/). During 1997, 22 pilot centers entered data on influenza activity and viral laboratory results directly into FluNet via secured access. In addition, 54 centers sent data to WHO for entry. Four countries (the Russian Federation, Romania, Sweden, and the United Kingdom) reported widespread outbreaks of at least 4 weeks' duration. The FluNet server ran 24 hours a day without interruption. To improve management and enhance standardization of reporting, this early-alert system for the global monitoring of influenza provides international and national authorities, the public, and the media with full access to real-time epidemiological and virological information.

Disease Outbreaks↗

PubMed2005

A novel algorithm and web-based tool for comparing two alternative phylogenetic trees.

SUMMARY: We describe an algorithm and software tool for comparing alternative phylogenetic trees. The main application of the software is to compare phylogenies obtained using different phylogenetic methods for some fixed set of species or obtained using different gene sequences from those species. The algorithm pairs up each branch in one phylogeny with a matching branch in the second phylogeny and finds the optimum 1-to-1 map between branches in the two trees in terms of a topological score. The software enables the user to explore the corresponding mapping between the phylogenies interactively, and clearly highlights those parts of the trees that differ, both in terms of topology and branch length. AVAILABILITY: The software is implemented as a Java applet at http://www.mrc-bsu.cam.ac.uk/personal/thomas/phylo_comparison/comparison_page.html. It is also available on request from the authors.

Algorithms↗

PubMed2005

Recent studies on the electrospray ionisation mass spectrometric behaviour of selected nitrogen-containing drug molecules and its application to drug analysis using liquid chromatography-electrospray ionisation mass spectrometry.

This review presents recent studies on the electrospray ionisation mass spectrometry (ESI-MS) of selected N-containing drug molecules, their metabolites, formulation degradation products and process impurities taken from both studies in the author's laboratory and the recent literature using the Web of Knowledge database. Molecules of mass less than 500 Da are chosen according to selected structural classes in which they give ESI signals primarily in the positive ion mode as [M+H]+ ions. The structural classes are drugs with amine-containing side chains, drugs with N-containing saturated ring structures, drugs with N-containing unsaturated ring structures and quaternary ammonium drugs. Details are given on the fragmentations, where available, that these ionic species exhibit in-source and in ion-trap, triple quadrupole and time-of flight mass spectrometers. Fragmentation data, again where available, using electron impact mass spectrometry (EI-MS) is included for comparison. A review of applications for the period 2004-2005, again taken from the Web of Knowledge database, of the technique liquid chromatography-electrospray ionisation mass spectrometry (LC-ESI-MS) to the detection and determination of these N-containing drug molecules in biomatrices, pharmaceutical formulations, etc., is then made. Analytical information on, for example, sample concentration techniques, LC separation conditions, recoveries from biological media, degradation products and limits of detection (LODs) are provided. Comparisons, where available, are also made with rival analytical techniques such as gas liquid chromatography-mass spectrometry (GLC-MS), capillary electrophoresis-electrospray ionisation mass spectrometry (CE-ESI-MS) and stripping voltammetry (SV).

Amines↗

PubMed1999

Chemoinformatics--a new name for an old problem?

Library chemistry and high-throughput screening require greater use of chemoinformatics to increase their effectiveness. Recent advances in chemoinformatics include new molecular descriptors and pharmacophore techniques, statistical tools and their applications. Visualisation methods and hardware development are also opening new opportunities. The advent of a chemically aware web language and cross-platform working is ensuring that chemoinformatics methods are becoming available to all chemists in a more appropriate manner. Much time will continue to be wasted with incompatible file types without internationally agreed standards.

Chemical Phenomena↗

PubMed2026

CAUSAL artificial intelligence and data-driven decision intelligence in personalized medicine: a review of healthcare informatics systems.

This review examines the integration of causal artificial intelligence (AI) and data-driven decision intelligence within healthcare informatics systems to advance personalized medicine and clinical decision-making. A narrative review methodology was employed, synthesizing interdisciplinary literature from major databases, including PubMed, Scopus, Web of Science, IEEE Xplore, and ScienceDirect. Studies focusing on causal inference, decision intelligence, and healthcare informatics applications in personalized medicine were included. Data were extracted on methodological approaches, healthcare settings, analytical techniques, and clinical applications, followed by thematic synthesis. Findings indicate that causal AI enhances clinical decision support by enabling estimation of treatment effects and simulation of intervention outcomes at the individual patient level. Integration of multimodal health data such as electronic health records, genomic data, and real-time monitoring improves prediction accuracy and supports tailored treatment strategies. Additionally, causal models improve interpretability, fostering clinician trust and facilitating transparent decision-making. Robust healthcare informatics infrastructures, including interoperable systems and data warehouses, were identified as critical enablers of causal analytics. Overall, causal AI represents a transformative advancement in healthcare analytics, supporting more informed, individualized, and evidence-based clinical decisions. Its integration within healthcare informatics systems has significant potential to improve patient outcomes and guide the future of intelligent, personalized healthcare delivery.

Precision Medicine↗

PubMed2001

Web survey design and administration.

Many claims are being made about the advantages of conducting surveys on the Web. However, there has been little research on the effects of format or design on the levels of unit and item response or on data quality. In a study conducted at the University of Michigan, a number of experiments were added to a survey of the student population to assess the impact of design features on resulting data quality. A sample of 1,602 students was sent an e-mail invitation to participate in a Web survey on attitudes toward affirmative action. Three experiments on design approaches were added to the survey application. One experiment varied whether respondents were reminded of their progress through the instrument. In a second experiment, one version presented several related items on one screen, while the other version presented one question per screen. In a third experiment, for one series of questions a random half of the sample clicked radio buttons to indicate their answers, while the other half entered a numeric response in a box. This article discusses the overall implementation and outcome of the survey, and it describes the results of the imbedded design experiments.

Journal Article↗