[Opportunities and challenges of blockchain technology in the healthcare industry]. / Opportunités et enjeux de la technologie blockchain dans le secteur de la santé.

Often described as a tool to build trust among stakeholders with divergent interests, blockchain technology has been of interest to many sectors since it was first used in 2008. Initially designed to record financial transactions between individuals, its applications have largely evolved with technological advances and the growing interest of international companies. In the healthcare sector, blockchain is interesting for many of its features: its immutability which makes it an excellent support for authenticating sensitive data such as clinical trials consents, the possibility of publishing smart contracts that automate and facilitate many processes or the constitution of a network that agrees on the state of the information. Much acclaimed, blockchain technology is still to be tested in real-life conditions and adapted to a particularly complex regulatory and economic context in the healthcare sector.

Should biomedical research be like Airbnb?

The thesis presented here is that biomedical research is based on the trusted exchange of services. That exchange would be conducted more efficiently if the trusted software platforms to exchange those services, if they exist, were more integrated. While simpler and narrower in scope than the services governing biomedical research, comparison to existing internet-based platforms, like Airbnb, can be informative. We illustrate how the analogy to internet-based platforms works and does not work and introduce The Commons, under active development at the National Institutes of Health (NIH) and elsewhere, as an example of the move towards platforms for research.

The Impact of Environment and Occupation on the Health and Safety of Active Duty Air Force Members: Database Development and De-Identification.

Preparing data for medical research can be challenging, detail oriented, and time consuming. Transcription errors, missing or nonsensical data, and records not applicable to the study population may hamper progress and, if unaddressed, can lead to erroneous conclusions. In addition, study data may be housed in multiple disparate databases and complex formats. Merging methods may be incomplete to obtain temporally synchronized data elements. We created a comprehensive database to explore the general hypothesis that environmental and occupational factors influence health outcomes and risk-taking behavior among active duty Air Force personnel. Several databases containing demographics, medical records, health survey responses, and safety incident reports were cleaned, validated, and linked to form a comprehensive, relational database. The final step involved removing and transforming personally identifiable information to form a Health Insurance Portability and Accountability Act compliant limited database. Initial data consisted of over 62.8 million records containing 221 variables. When completed, approximately 23.9 million clean and valid records with 214 variables remained. With a clean, robust database, future analysis aims to identify high-risk career fields for targeted interventions or uncover potential protective factors in low-risk career fields.

Drug development and nonclinical to clinical translational databases: past and current efforts.

The International Consortium for Innovation and Quality (IQ) in Pharmaceutical Development is a science-focused organization of pharmaceutical and biotechnology companies. The mission of the Preclinical Safety Leadership Group (DruSafe) of the IQ is to advance science-based standards for nonclinical development of pharmaceutical products and to promote high-quality and effective nonclinical safety testing that can enable human risk assessment. DruSafe is creating an industry-wide database to determine the accuracy with which the interpretation of nonclinical safety assessments in animal models correctly predicts human risk in the early clinical development of biopharmaceuticals. This initiative aligns with the 2011 Food and Drug Administration strategic plan to advance regulatory science and modernize toxicology to enhance product safety. Although similar in concept to the initial industry-wide concordance data set conducted by International Life Sciences Institute's Health and Environmental Sciences Institute (HESI/ILSI), the DruSafe database will proactively track concordance, include exposure data and large and small molecules, and will continue to expand with longer duration nonclinical and clinical study comparisons. The output from this work will help identify actual human and animal adverse event data to define both the reliability and the potential limitations of nonclinical data and testing paradigms in predicting human safety in phase 1 clinical trials.

Laboratory and software applications for clinical trials: the global laboratory environment.

The Applied Pharmaceutical Software Meeting is held annually. It is sponsored by The Boston Society, a not-for-profit organization that coordinates a series of meetings within the global pharmaceutical industry. The meeting generally focuses on laboratory applications, but in recent years has expanded to include some software applications for clinical trials. The 2011 meeting emphasized the global laboratory environment. Global clinical trials generate massive amounts of data in many locations that must be centralized and processed for efficient analysis. Thus, the meeting had a strong focus on establishing networks and systems for dealing with the computer infrastructure to support such environments. In addition to the globally installed laboratory information management system, electronic laboratory notebook and other traditional laboratory applications, cloud computing is quickly becoming the answer to provide efficient, inexpensive options for managing the large volumes of data and computing power, and thus it served as a central theme for the meeting.

MyMolDB: a micromolecular database solution with open source and free components.

BACKGROUND: To manage chemical structures in small laboratories is one of the important daily tasks. Few solutions are available on the internet, and most of them are closed source applications. The open-source applications typically have limited capability and basic cheminformatics functionalities. In this article, we describe an open-source solution to manage chemicals in research groups based on open source and free components. It has a user-friendly interface with the functions of chemical handling and intensive searching. RESULTS: MyMolDB is a micromolecular database solution that supports exact, substructure, similarity, and combined searching. This solution is mainly implemented using scripting language Python with a web-based interface for compound management and searching. Almost all the searches are in essence done with pure SQL on the database by using the high performance of the database engine. Thus, impressive searching speed has been archived in large data sets for no external Central Processing Unit (CPU) consuming languages were involved in the key procedure of the searching. AVAILABILITY: MyMolDB is an open-source software and can be modified and/or redistributed under GNU General Public License version 3 published by the Free Software Foundation (Free Software Foundation Inc. The GNU General Public License, Version 3, 2007. Available at: http://www.gnu.org/licenses/gpl.html). The software itself can be found at http://code.google.com/p/mymoldb/.

RIFLE-based data collection/management system applied to a prospective cohort multicenter Italian study on the epidemiology of acute kidney injury in the intensive care unit.

The epidemiology of acute kidney injury (AKI) has been difficult to explore in the past, due to different definitions across various studies. Nevertheless, this is a very important topic today in light of the high morbidity and mortality of critically ill patients presenting renal dysfunction during their stay in the intensive care unit (ICU). The case mix has changed over the years, and AKI is a common problem in critically ill patients often requiring renal replacement therapy (RRT). The RIFLE and AKIN initiatives have provided a unifying definition for AKI, making possible large retrospective studies in different countries. The present study aims at validating a unified web-based data collection and data management tool based on the most recent AKI definition/classification system. The interactive database is designed to elucidate the epidemiology of AKI in a critically ill population. As a test, we performed a prospective observational multicenter study designed to prospectively evaluate all incident admissions in ten ICUs in Italy and the relevant epidemiology of AKI. Thus, a simple user-friendly web-based data collection tool was created with the scope to serve for this study and to facilitate future multicenter collaborative efforts. We enrolled 601 consecutive incident patients into the study; 25 patients with end-stage renal disease were excluded, leaving 576 patients for analysis. The median age was 66 (IQR 53-76) years, 59.4% were male, while median Simplified Acute Physiology Score II and Acute Physiology and Chronic Health Evaluation II scores were 43 (IQR 35-54) and 18 (IQR 13-24), respectively. The most common diagnostic categories for ICU admission were: respiratory (27.4%), followed by neurologic (17%), trauma (14.4%), and cardiovascular (12.1%). Crude ICU and hospital mortality were 21.7% and median ICU length of stay was 5 (IQR 3-14) days. Of 576 patients, 246 patients (42.7%) had AKI within 24 h of ICU admission, while 133 developed new AKI later during their ICU stay. RIFLE-initial class was Risk in 205 patients (54.1%), Injury in 99 (26.1%) and Failure in 75 (19.8%). Progression of AKI to a worse RIFLE class was seen in 114 patients (30.8% of AKI patients). AKI patients were older, with higher frequency of common risk factors. 116 AKI patients (30.6%) fulfilled criteria for sepsis during their ICU stay, compared to 33 (16.7%) of non-AKI patients (p < 0.001). 48 patients (8.3%) were treated with RRT in the ICU. Patients were started on RRT a median of 2 (IQR 0-6) days after ICU admission. AKI patients were started on RRT a median of 1 (IQR 0-4) day after fulfilling criteria for AKI. Median duration of RRT was 5 (IQR 2-10) days. AKI patients had a higher crude ICU mortality (28.8 vs. 8.1%, non-AKI; p < 0.001) and longer ICU length of stay (median 7 vs. 3 days, non-AKI; p < 0.001). Crude ICU mortality and ICU length of stay increased with greater severity of AKI. 225 (59.4% of AKI patients) had complete recovery of renal function, with a serum creatinine at time of ICU discharge which was ≤120% of baseline; an additional 51 AKI patients (13.5%) had partial renal recovery, while 103 (27.2%) had not recovered renal function at the time of death or ICU discharge. The study supports the use of RIFLE as an optimal classification system to stage AKI severity. AKI is indeed a deadly complication for ICU patients, where the level of severity is correlated with mortality and length of stay. The tool developed for data collection was user-friendly and easy to implement. Some of its features, including a RIFLE class alert system, may help the treating physician to systematically collect AKI data in the ICU and possibly may guide specific decisions on the institution of RRT.

Picture, archiving and communication system in the Italian NHS: a primer on diffusion and evaluation analysis.

This contribution focuses on picture archiving and communication systems (PACS) in the Italian National Healthcare System (NHS). It finally aims to test the Chiefs Radiology Department's perceptions about PACS along the main evaluation dimensions emerging from the literature. First, a brief review of the main literature concerning PACS evaluation leads the authors to classify the different approaches undertaken and highlight the main variables of investigation. Second, the evidence emerging from a survey is presented and discussed in the light of the literature review. The survey aims to: (a) map out the degree of PACSs diffusion and their main features in the Italian NHS; (b) verify whether and how PACS impact the dimensions analyzed in many evaluation studies carried out to date; (c) test the relationship between some measured impacts and specific PACS features.

HCLS 2.0/3.0: health care and life sciences data mashup using Web 2.0/3.0.

We describe the potential of current Web 2.0 technologies to achieve data mashup in the health care and life sciences (HCLS) domains, and compare that potential to the nascent trend of performing semantic mashup. After providing an overview of Web 2.0, we demonstrate two scenarios of data mashup, facilitated by the following Web 2.0 tools and sites: Yahoo! Pipes, Dapper, Google Maps and GeoCommons. In the first scenario, we exploited Dapper and Yahoo! Pipes to implement a challenging data integration task in the context of DNA microarray research. In the second scenario, we exploited Yahoo! Pipes, Google Maps, and GeoCommons to create a geographic information system (GIS) interface that allows visualization and integration of diverse categories of public health data, including cancer incidence and pollution prevalence data. Based on these two scenarios, we discuss the strengths and weaknesses of these Web 2.0 mashup technologies. We then describe Semantic Web, the mainstream Web 3.0 technology that enables more powerful data integration over the Web. We discuss the areas of intersection of Web 2.0 and Semantic Web, and describe the potential benefits that can be brought to HCLS research by combining these two sets of technologies.

Space jam. Are digital imaging systems straining your storage resources?

The growth in digital imaging is a boon for quality of care, but storage systems are bursting at the seams, creating complications both technological and financial.

OpenSourcePACS: an extensible infrastructure for medical image management.

The development of comprehensive picture archive and communication systems (PACS) has mainly been limited to proprietary developments by vendors, though a number of freely available software projects have addressed specific image management tasks. The openSourcePACS project aims to provide an open source, common foundation upon which not only can a basic PACS be readily implemented, but to also support the evolution of new PACS functionality through the development of novel imaging applications and services. openSourcePACS consists of four main software modules: 1) image order entry, which enables the ordering and tracking of structured image requisitions; 2) an agent-based image server framework that coordinates distributed image services including routing, image processing, and querying beyond the present digital image and communications in medicine (DICOM) capabilities; 3) an image viewer, supporting standard display and image manipulation tools, DICOM presentation states, and structured reporting; and 4) reporting and result dissemination, supplying web-based widgets for creating integrated reports. All components are implemented using Java to encourage cross-platform deployment. To demonstrate the usage of openSourcePACS, a preliminary application supporting primary care/specialist communication was developed and is described herein. Ultimately, the goal of openSourcePACS is to promote the wide-scale development and usage of PACS and imaging applications within academic and research communities.

Development of a module for point-of-care charge capture and submission using an anesthesia information management system.

BACKGROUND: The use of electronic charge vouchers in anesthesia practice is limited, and the effects on practice management are unreported. The authors hypothesized that the new billing technology would improve the effectiveness of the billing interface and enhance financial practice management measures. METHODS: A custom application was created to extract billing elements from the anesthesia information management system. The application incorporates business rules to determine whether individual cases have all required elements for a complete and compliant bill. The metrics of charge lag and days in accounts receivable were assessed before and after the implementation of the electronic charge voucher system. RESULTS: The average charge lag decreased by 7.3 days after full implementation. The total days in accounts receivable, controlling for fee schedule changes and credit balances, decreased by 10.1 days after implementation, representing a one-time revenue gain equivalent to 3.0% of total annual receipts. There are additional ongoing cost savings related to reduction of personnel and expenses related to paper charge voucher handling. CONCLUSIONS: Anesthesia information management systems yield financial and operational benefits by speeding up the revenue cycle and by reducing direct costs and compliance risks related to the billing and collection processes. The observed reductions in charge lag and days in accounts receivable may be of benefit in calculating the return on investment that is attributable to the adoption of anesthesia information management systems and electronic charge transmission.

Primary healthcare information system--the cornerstone for the next generation healthcare sector in Republic of Croatia.

At no time in the history of medicine has the growth in knowledge and technologies been so profound [Crossing the Quality Chasm: A New Health System for the 21st Century, Institute of Medicine (IOM), 2001. ISBN 0-309-07280-8]. However, healthcare delivery systems today are not able to keep up with the pace. Studies have shown that it takes an average of about 17 years for new knowledge generated by randomized trials to be incorporated into practice [B. Andrew, S. Boren, Managing clinical knowledge for health care improvement, in: Yearbook of Medical Informatics, National Library of Medicine, Bethesda, MD, 2000, pp. 65-70]. It is safe to say that today healthcare systems "have the data, but not information". In order to provide highest quality patient care, Republic of Croatia has started the process of introducing enterprise information systems to support business processes in the healthcare domain. Two major requirements are in focus: to provide efficient healthcare related data management in support of decision-making processes; and to support continuous process of healthcare resources spending optimization. The first initiated project refers to Primary Healthcare Information System (PHCIS) that provides domain of primary care with state-of-the-art enterprise information system that connects General Practitioners, Pediatricians and Gynecologists offices with the Croatian Institute for Health Insurance and Public Health Institute. In the years to come, PHCIS will serve as the main integration platform for connecting all other stakeholders and levels of healthcare (e.g. hospitals, pharmacies, laboratories) into single enterprise healthcare network. This article gives an overview of PHCIS, explains challenges that were faced in designing and implementing the system, and elaborates PHCIS role as the cornerstone for the next generation healthcare provisioning in Republic of Croatia.

E-health progresses in Romania.

The paper is presenting the recent evolution of e-health aspects in Romania. Data presented are based on governmental reports. Surveys organized by the "Lucian Blaga" University of Sibiu and studies carried on by the national Institute for Research and Development in Informatics (I.C.I.) have shown that Romania has important health problems, from cardio vascular diseases (CVD) to cancer and infectious diseases, a high score on mortality and morbidity and a low one on natality. Poor management of the health sector did not help to solve all these problems. In the last 14 years there were several attempts to reform healthcare but none succeeded until now. The health insurance system is operational but needs still to be improved. Acknowledging the deep crisis of the health system the Prime Minister nominated a new minister of health and important changes in the health management approach are to be envisaged. One of this is the introduction of the e-procurement system for all health related goods. In spite of the crisis of the health system, e-health applications are flourishing. We can distinguish applications at national and local level and also punctual applications. The main applications refer to hospital information systems (HIS), electronic health records (EHR), e-procurement, image processing, diagnosis and treatment aids, telediagnosis, teleconsultation, education, research and domain oriented web support services. Most academic clinical hospital is now members of a web community "mednet". Unfortunately a lot of medical web sites have disappeared for lack of funds. As the health sector is in general funded from the public budget and the health crisis is deepened in the last years, the driving force in implementing e-health concepts and technologies is not the Ministry of Health but the Information Technology (IT) community, with a strong support from the Ministry of Information Technology and Communications and also from the Ministry of Education and Research, the Romanian Academy and professional non-governmental organizations. Our government has established the strategy for achieving the e-society for almost all domains but healthcare is still the Cinderella. It is expected that IT will play the role of the Fair Godmother by improving the general health status of the population through a better management of health services and better access to information and knowledge, for both major actors: the health professionals and the citizens.