Vendor Information Research Articles

Use of a Set-up Fee to Encourage Survey Participation and Electronic Health Record Submission for a National Health Care Survey.

In 2021, the National Ambulatory Medical Care Survey Health Center (NAMCS HC) Component modernized its data collection and began collecting clinical visit data from health centers using transmission of electronic health record (EHR) data. With this redesign, there are potential cost implications for a health center to participate. Beginning in 2021, a one-time set-up fee (i.e., payment) of up to $10,000 was offered to centers who participated in the NAMCS HC Component. Starting in 2022, a Set-up Fee Questionnaire was used to capture data on the use of this money. Results show on average the fee appeared adequate in covering participation costs, with the fee most often used to cover costs of health center and EHR vendor information technology staff. Although this fee was offered only during the initial year of participation, retention rates for centers appeared high. Implications from the findings of this case study on use of a set-up fee in establishment surveys are also briefly discussed.

Design Android-Based Mobile Food Vendor Location Search Application

The development of culinary business in Indonesia is progressing from time to time. This was helped by the development of increasingly rapid technology. Non-formal business actors also develop, especially mobile food vendors. The author wants to create an application that can improve the competitiveness of mobile food vendors by providing information that is easily obtained by the public to find out information and locations of mobile food vendors that can be accessed via mobile devices connected to the internet. This research offers an android application that can track the presence of traders in realtime making it easier for users to find food vendors around them using the Location Based Service (LBS) method using Global Positioning System (GPS) technology. In addition, this application also uses Google Maps API technology for map and Firebase needs for database needs.

Toward Automatically Connecting IoT Devices with Vulnerabilities in the Wild

With the increasing number of Internet of Things (IoT) devices connected to the internet, the industry and research community have become increasingly concerned about their security impact. Adversaries or hackers often exploit public security flaws to compromise IoT devices and launch cyber attacks. However, despite this growing concern, little effort has been made to investigate the detection of IoT devices and their underlying risks. To address this gap, this article proposes to automatically establish relationships between IoT devices and their vulnerabilities in the wild. Specifically, we construct a deep neural network (DNN) to extract semantic information from IoT packets and generate fine-grained fingerprints of IoT devices. This enables us to annotate IoT devices in cyberspace, including their device type, vendor, and product information. We collect vulnerability reports from various security sources and extract IoT device information from these reports to automatically match vulnerabilities with the fingerprints of IoT devices. We implemented a prototype system and conducted extensive experiments to validate the effectiveness of our approach. The results show that our DNN model achieved a 98% precision rate and a 95% recall rate in IoT device fingerprinting. Furthermore, we collected and analyzed over 13,063 IoT-related vulnerability reports and our method automatically built 5,458 connections between IoT device fingerprints and their vulnerabilities. These findings shed light on the ongoing threat of cyber-attacks on IoT systems as both IoT devices and disclosed vulnerabilities are targets for malicious attackers.

SuperNatural 3.0-a database of natural products and natural product-based derivatives.

Natural products (NPs) are single chemical compounds, substances or mixtures produced by a living organism - found in nature. Evolutionarily, NPs have been used as healing agents since thousands of years and still today continue to be the most important source of new potential therapeutic preparations. Natural products have played a key role in modern drug discovery for several diseases. Furthermore, following consumers' increasing demand for natural food ingredients, many efforts have been made to discover natural low-calorie sweeteners in recent years. SuperNatural 3.0 is a freely available database of natural products and derivatives. The updated version contains 449 058 natural compounds along with their structural and physicochemical information. Additionally, information on pathways, mechanism of action, toxicity, vendor information if available, drug-like chemical space prediction for several diseases as antiviral, antibacterial, antimalarial, anticancer, and target specific cells like the central nervous system (CNS) are also provided for the natural compounds. The updated version of the database also provides a valuable pool of natural compounds in which potential highly sweet compounds are expected to be found. The possible taste profile of the natural compounds was predicted using our published VirtualTaste models. The SuperNatural 3.0 database is freely available via http://bioinf-applied.charite.de/supernatural_3, without any login or registration.

Systematic evaluation and meta-analysis of Chinese medicine in the treatment of centrally mediated abdominal pain syndrome.

Background:This study aimed to evaluate the clinical efficacy of Chinese medicine for the treatment of centrally mediated abdominal pain syndrome (CAPS) using a meta-analysis system.Methods:Six databases, including China National Knowledge Infrastructure, Vendor Information Pages, Chinese Biomedical Database, Wanfang, PubMed, and Embase were searched for randomized controlled trials related to the treatment of CAPS with traditional Chinese medicine. The bias risk assessment tool and RevMan5.3 software (Copenhagen, The Nordic Cochrane Centre, The Cochrane Collaboration) were used to conduct quality assessment and meta-analysis, and the GRADE grading system was used to evaluate the quality of evidence for outcome indicators.Results:Fifteen articles were included in this study. Meta-analysis results showed that the treatment group was more effective in terms of the total effective rate (relative risk = 1.27; 95% confidence interval [CI], 1.19–1.34; P < .00001), Behavioral Rating Scale-6 pain score (mean difference [MD] = −0.79; 95% CI, −0.99 to −0.59; P < .00001), and traditional Chinese medicine (TCM) symptom score (MD = −1.74; 95% CI, −2.23 to −1.26; P < .00001) than the control group (P < .05). However, in terms of numerical rating scale pain score (MD = 0.79; 95% CI, −1.70 to 0.12; P = .09), the efficacy was comparable between the 2 groups, and the difference was not statistically significant (P > .05). In terms of verbal rating scale pain, depression, and anxiety scores, the data could not be combined due to inconsistent scoring criteria, and only descriptive analysis was performed. The results showed that the treatment group was slightly better than the control group in terms of relieving verbal rating scale pain and improving anxiety and depression (P < .05).Conclusion:Chinese medicine can effectively improve the pain and TCM clinical symptoms of patients with CAPS and relieve patients’ anxiety and depression with fewer adverse effects, which has certain therapeutic advantages. However, because of the low methodological quality assessment of the included literature, the quality of GRADE evidence for outcome indicators is of mostly low and very low quality, the strength of recommendation is weak, and the credibility of the conclusion is average. More rigorous, larger sample, and higher-quality clinical trials are required to provide a higher level of evidence-based medicine for the development of TCM treatment standards for CAPS.

“EHR GENIUS BAR”: ELECTRONIC HEALTH RECORD OPTIMIZATION FOR CHILD AND ADOLESCENT PSYCHIATRISTS

The objectives of this presentation are to help attendees be able to: 1) describe the categories of work, and cognitive burden, of electronic health record (EHR) systems in mental health care; 2) understand the options for personalization and localization in EHR systems; 3) develop at least one specific practice change in the participant's EHR that they can personalize on their own; and 4) develop at least one specific practice change in the participant’s EHR that they can implement by partnering with their vendor or local information technology (IT) department.

Information blocking remains prevalent at the start of 21st Century Cures Act: results from a survey of health information exchange organizations.

Recent policy making aims to prevent health systems, lectronic health record (EHR) vendors, and others from blocking the electronic sharing of patient data necessary for clinical care. We sought to assess the prevalence of information blocking prior to enforcement of these rules. We conducted a national survey of health information exchange organizations (HIEs) to measure the prevalence of information blocking behaviors observed by these third-party entities. Eighty-nine of 106 HIEs (84%) meeting the inclusion criteria responded. The majority (55%) of HIEs reported that EHR vendors at least sometimes engage in information blocking, while 30% of HIEs reported the same for health systems. The most common type of information blocking behavior EHR vendors engaged in was setting unreasonably high prices, which 42% of HIEs reported routinely observing. The most common type of information blocking behavior health systems engaged in was refusing to share information, which 14% of HIEs reported routinely observing. Reported levels of vendor information blocking was correlated with regional competition among vendors and information blocking was concentrated in some geographic regions. Our findings are consistent with early reports, revealing persistently high levels of information blocking and important variation by actor, type of behavior, and geography. These trends reflect the observations and experiences of HIEs and their potential biases. Nevertheless, these data serve as a baseline against which to measure the impact of new regulations and to inform policy makers about the most common types of information blocking behaviors. Enforcement aimed at reducing information blocking should consider variation in prevalence and how to most effectively target efforts.

Voter Participation in the Absence of the 1965 Voting Rights Act

In June 2013, the Supreme Court ruled in Shelby County v. Holder that states with a history of racial discrimination no longer needed to approve proposed changes to their voting procedures with the federal government. The court ruled that the coverage formula was based on 40-year-old data that was not applicable to current needs. Thus the 2016 presidential election was the first in 50 years without the full protections of the Voting Rights Act. The objective of this paper is to examine the changes in voter turnout between the 2012 and the 2016 national elections due to the changes in the Voting Rights Act. Using data from the voter file vendor Catalist and information from the U.S. Census Bureau, this paper examined changes in turnout rates for different racial/ethnic groups between 2012 and 2016. The findings indicated (1) African American turnout declined substantially; (2) white turnout increased considerably; (3) Latino American turnout increased, and (4) in the key swing states of Michigan, Wisconsin, and Pennsylvania, fluctuations in voter participation were especially strong. Voter enthusiasm and perceived voter suppression efforts had a huge impact on voter turnout. In addition, not being able to identify with candidates or properly researching candidates’ political goals hampered the desire to vote, especially in Black Americans.

Bioleta: collaborative mapping and a fairer trade for artisans

BIOLETA is an interdisciplinary proposal, developed by using the User-Centered Design (UCD) approach, that aims to create a collaborative network to promote fair trade and the revalorization of artisanal work through an app that facilitates the sale of artisan’s products without intermediaries, which is a win-win for artisans and clients. The app, named BIOLETA for the biodiversity that artisanal work requires, has two goals: to create a reliable database of Mexican crafts after the self-registration of artisans from all over the country and therefore to facilitate the direct contact and relationship of artisans with buyers and institutions. The second goal is to generate a collaborative mapping of street vendors of artisanal work that do not have a digital presence. With the help of potential buyers, neighbors, and/or people interested in artisanal work, the "mapper" will introduce the possible geolocations, recommendations and if available, the contact information of the street vendors to increase their sales during -and after- the emergency caused by COVID-19.

The neighborhood food environment modifies the effect of the 2009 WIC food package change on childhood obesity in Los Angeles County, California

BackgroundFood packages provided by the Special Supplemental Nutrition Program for Women, Infants and Children (WIC) were revised in 2009 to better align them with the Dietary Guidelines for Americans. This study was conducted to evaluate whether the effect of the food package change on childhood obesity varied by the food environment in the neighborhoods where WIC-participating children live.MethodsAdministrative data from participating children in Los Angeles County, California (2003–2016) were merged with geocoded food vendor information by neighborhood of residence. Obesity risk at age 4 was compared between children receiving old (2003–2009) and new (2010–2016) WIC food packages using sex-stratified Poisson regression models, with interaction terms between WIC package and neighborhood density (number per square mile) of healthy and unhealthy food outlets.ResultsThe new food package was associated with a significant decrease in obesity risk. Among boys, the new food package was associated with 8 to 18% lower obesity risk at all healthy and unhealthy food outlet densities, and the association was not modified by neighborhood food outlet density. Among girls, the association of the new food package with obesity risk was protective in neighborhoods with high healthy and low unhealthy food outlet densities, and adverse in neighborhoods with high unhealthy and low healthy food outlet densities. The effect of the new food package among girls was modified by unhealthy food outlet density, with significantly smaller (p-value = 0.004) decreases in obesity risk observed in neighborhoods with higher unhealthy food outlet density.ConclusionsThe impact of the food package change was modified by the neighborhood food environment among girls only. Future policy changes should incorporate consideration of ways to mitigate potentially inequitable geographic distribution of the health benefits of policy changes.

Invoice Processing Using Robotic Process Automation

This paper describes our recent effort to develop a automative application to transform invoice processing in Finance operations. As a prime example of the technology’s potential for driving efficiency, Robotic Process Automation (RPA) can be applied to a number of finance and accounting operations, invoice processing. RPA DataBot can automate data input, error reconciliation, and some of the decision-making required by finance staff when processing invoices. At the same time, automation is able to limit errors in such processes and reduce the need for manual exception handling. UiPath’s RPA DataBot are able to constantly monitor a dedicated folder where invoices are saved by employees (or other DataBot) in PDF format. Once robots detect the presence of an invoice in the folder, they begin to extract information from the document. Using intelligent Optical Character Recognition (OCR) and natural language processing capabilities, DataBot are able to read out the information that is visible on the invoice. After robots extract the key information from each invoice, they use their credentials to open the company’s database or enterprise resource planning system, if not already open. The robots then start processing the invoices one-by-one by transferring over the relevant invoice information. During this whole process, the DataBot are also running background activities such as monitoring the dedicated invoice folder or its email address, performing basic checks to see if the company’s database is open, and verifying whether vendor information (e.g. VAT number) on the invoice matches what is already in the database.

The Hedge Fund Industry Is Bigger (and Has Performed Better) Than You Think

Of first-order importance to the study of potential systemic risks in hedge funds is the aggregate size of the industry. The worldwide hedge fund industry has been estimated by regulators and industry experts as having total net assets under management of $2.3-3.7 trillion as of the end of 2016. Using a newly combined database of several hedge fund information vendors, augmented by the first detailed, systematic regulatory collection of data on large hedge funds in the United States, we estimate that the worldwide net assets under management were at least $5.2 trillion in 2016, over 40% larger than the most generous estimate. Gross assets, which represent the balance sheet value of hedge fund assets, exceeds $8.5 trillion. We further decompose hedge fund assets by their self-reported strategy and by fund domicile. We also show that the total returns earned by funds that report to the public databases are significantly lower than the returns of funds that report only on regulatory filings, both in aggregate and within nearly every fund strategy. This difference appears to be driven entirely by alpha, rather than by differences in exposures to systematic risk factors. However, net investor flows are considerably higher for funds reporting publicly, suggesting previous estimates of the flow-performance relationship are likely biased. Our new, and much larger, estimates of the size of the hedge fund industry should help regulators and prudential authorities to better gauge the systemic risks posed by the industry, and to better evaluate potential data gaps in private funds. Our results also suggest that systematic risk is roughly similar in publicly and non-publicly reporting funds.

Russian market of electronic resources: providers and users

Aim. The article aims at the analysis of the dynamics and the structure of the Russian markets of scholarly electronic information broken by reference groups of providers and users.Materials and Methods. Materials comprise results of the data processing of the Russian surveys on acquisition budgets in 2012–2018 and published results of the international surveys. We analyze three main reference groups and four sub-groups of the Russian organizations and three reference groups of providers of the electronic scholarly information. We obtained market shares of different reference groups of Russian subscribers and analyzed temporal dynamics of the market structure in 2012–2018.We obtained subscription chains and preferences broken by resource providers in Russia and compared our results with the results of the 2018 survey of American academics. We developed Russian rating of information providers and estimated market shares of each reference group.Results. The market of electronic scholarly information shows continuous concentration towards the group of universities. In 2018, relative share of the university segment of the market of electronic resources made 94%. Since 2015, the share of the reference group of the universities of the 5/100 project increased from 36% to 46%, whereas the share of two national Russian universities shrank from 12% to 9% in 2017–2018. The Russian market of electronic resources is broken in three nearly equal parts related to three groups of resource providers and producers: 35% belong to the group of international publishers, 36% – to the Russian subscription agents and 29% – to the Russian producers and providers of electronic information. Nine of ten organizations responded that they subscribe via Russian information vendors and subscription agents and four of ten – directly via international publishers. This result corresponds to the results of the Academic Library Collection Development Survey 2018.Conclusions. One can conclude that the Russian market of electronic resources is monopolized as referred to the users/consumers of scholarly electronic information and non-monopolized referring the providers and producers of electronic resources. The market comprises three almost equal segments related to three reference groups of providers and producers of electronic resources. The majority of Russian organizations subscribe to electronic resources via Russian electronic information producers or agents.

Brucella-positive raw milk cheese sold on the inner European market: A public health threat due to illegal import?

Travel and migration are the major drivers of human brucellosis in Western Europe. The infection is usually transmitted through the consumption of unpasteurized milk or dairy products in or from endemic regions. Although eradicated from livestock in Germany and most Member States of the European Union, considerable numbers of domestic human brucellosis cases have been reported annually. The actual source of these autochthonous cases in non-endemic countries remains to be elucidated.We therefore evaluated the presence of Brucella spp. in 200 cheese samples originating from endemic countries which were sold at weekly markets, in supermarkets and by delis in Berlin (Germany) as well as online. The cheese samples included loose, non-labelled and pre-packed, labelled cheese of five types (brine, cream, soft, semi-hard and hard cheese), made from bovine, ovine and caprine milk. The cheese was mainly declared as raw milk cheese by the retailers. We screened for and confirmed the presence of Brucella-DNA in cheese using genus-specific quantitative real-time PCRs targeting IS711 and bcsp31, respectively. The molecular prevalence of Brucella was 20.5% (n = 41), but viable Brucellae could not be isolated from the positively tested samples using classical culture methods. The logistic regression model indicated that Brucella was significantly more often detected in late summer purchases (p = 0.036) as well as in cheese from Bulgaria, France, Greece and Turkey (p = 0.017). In contrast to the vendor information, essentially only three positive cheese samples were made from raw milk. Moreover, positive samples clustered at certain vendors which indicates large-scale illegal imports.In summary, Brucella in imported raw milk cheese seems to be still a challenge for food safety standards in the European Union. Uncontrolled import of dairy products from endemic regions might explain human Brucella infections acquired in non-endemic EU countries.

Blockchain For Facilities Management

Facilities management encompasses assets management, space management, IoT management, regulatory/compliance adherence and purchasing and billing issuance. Assets management requires monitoring, fault detection and the use of IoT for detecting conditions and triggering events. Facilities management involves tracking work orders, schedule maintenance, doing preventive management, and also tracking assets status through equipment warranties, life cycle assessments, contracts and agreements. Data management of facilities can now be done using a blockchain instead of a database. Blockchain is a peer-to-peer distributed digital ledger that records data which is accessible and shared by multiple qualifying parties with security enabled. The beauty of blockchain is it provides transparency in data handling, traceability of all transactions and ease of collaboration between qualifying parties. Since facilities management involves issuance of contracts and agreements, smart contracts can be deployed to provides a transparent and faster way to make transactions since they can be automated in blockchain network. In this paper, we have implemented a simple facilities management model using Hyperledger Composer Playground. To quickly develop and test the blockchain business networks, we have chosen to use Playground. In our model, we have built in employee information, vendor information, equipment tracking, fault report and maintenance report information. A token asset is employed to incentivize work completed to satisfaction. We will discuss how parameters like lifecycle, discount factor and depreciation information of equipment and facilities can be built into the model to present a more holistic view of the overall worth of assets at a snapshot.

Warnings for drug–drug interactions in consumer medication information provided by community pharmacies

ObjectivesIn 2006, the U.S. Food and Drug Administration (FDA) issued a draft guidance for pharmacies to provide consumer medication information (CMI) to patients receiving prescription medications. The objective of this study was to evaluate CMI leaflets provided by community pharmacies for accuracy and completeness regarding drug–drug interactions (DDIs). MethodsCMI leaflets were obtained for 3 commonly prescribed medications (azithromycin, ciprofloxacin, and simvastatin) from 14 community pharmacies that are part of 6 chain organizations that operate in southern Arizona. Three to 4 salient interacting medications for each leaflet medication were identified with the use of 2 well recognized drug compendia. The content of the DDI information in the leaflets was evaluated for completeness. The font size and reading level of each leaflet were assessed as well. ResultsThe CMI provided by 14 pharmacies appeared to be produced by 2 information vendors, Wolters Kluwer and First Databank. This was evident based on the identical wording and attribution (e.g., copyright statements) on the leaflets. The CMI from First Databank mentioned 5 of the 11 previously identified interactions with the target medications, although 1 chain in this group chose not to print the DDI section at all and as a result scored 0. The CMI developed by Wolters Kluwer mentioned only 2 of the 11 identified DDIs. The average reading grade level for First Databank leaflets was 10.6 (SD 2.87), and the reading level for the CMI from Wolters Kluwer was 5.0 (SD 1.02). The font sizes varied from 8 to 12 points; FDA recommends that the information be printed in 12-point size or larger. ConclusionCommunity pharmacies appear to be distributing CMI leaflets with limited warnings about serious and well known DDIs. The results of this study suggest that consumers are not being informed through the CMI about important known DDIs.

Intelligent Asset Allocation via Market Sentiment Views

The sentiment index of market participants has been extensively used for stock market prediction in recent years. Many financial information vendors also provide it as a service. However, utilizing market sentiment under the asset allocation framework has been rarely discussed. In this article, we investigate the role of market sentiment in an asset allocation problem. We propose to compute sentiment time series from social media with the help of sentiment analysis and text mining techniques. A novel neural network design, built upon an ensemble of evolving clustering and long short-term memory, is used to formalize sentiment information into market views. These views are later integrated into modern portfolio theory through a Bayesian approach. We analyze the performance of this asset allocation model from many aspects, such as stability of portfolios, computing of sentiment time series, and profitability in our simulations. Experimental results show that our model outperforms some of the most successful forecasting techniques. Thanks to the introduction of the evolving clustering method, the estimation accuracy of market views is significantly improved.

Emergency Physician Use of the Alberta Netcare Portal, a Province-Wide Interoperable Electronic Health Record: Multi-Method Observational Study.

BackgroundThe adoption and use of an electronic health record (EHR) can facilitate real-time access to key health information and support improved outcomes. Many Canadian provinces use interoperable EHRs (iEHRs) to facilitate health information exchange, but the clinical use and utility of iEHRs has not been well described.ObjectiveThe aim of this study was to describe the use of a provincial iEHR known as the Alberta Netcare Portal (ANP) in 4 urban Alberta emergency departments. The secondary objectives were to characterize the time spent using the respective electronic tools and identify the aspects that were perceived as most useful by emergency department physicians.MethodsIn this study, we have included 4 emergency departments, 2 using paper-based ordering (University of Alberta Hospital [UAH] and Grey Nuns Community Hospital [GNCH]) and 2 using a commercial vendor clinical information system (Peter Lougheed Centre [PLC] and Foothills Medical Centre [FMC]). Structured clinical observations of ANP use and system audit logs analysis were compared at the 4 sites from October 2014 to March 2016.ResultsObservers followed 142 physicians for a total of 566 hours over 376 occasions. The median percentage of observed time spent using ANP was 8.5% at UAH (interquartile range, IQR, 3.7%-13.3%), 4.4% at GNCH (IQR 2.4%-4.4%), 4.6% at FMC (IQR 2.4%-7.6%), and 5.1% at PLC (IQR 3.0%-7.7%). By combining administrative and access audit data, the median number of ANP screens (ie, results and reports displayed on a screen) accessed per patient visit were 20 at UAH (IQR 6-67), 9 at GNCH (IQR 4-29), 7 at FMC (IQR 2-18), and 5 at PLC (IQR 2-14). When compared with the structured clinical observations, the statistical analysis of screen access data showed that ANP was used more at UAH than the other sites.ConclusionsThis study shows that the iEHR is well utilized at the 4 sites studied, and the usage patterns implied clinical value. Use of the ANP was highest in a paper-based academic center and lower in the centers using a commercial emergency department clinical information system. More study about the clinical impacts of using iEHRs in the Canadian context including longer term impacts on quality of practice and safety are required.

Effect of combined ursodeoxycholic acid and glucocorticoid on the outcome of Kasai procedure: A systematic review and meta-analysis.

Introduction:Multiple studies have investigated the effect of ursodeoxycholic acid (UDCA) or glucocorticoid (GC) on the outcome of the hepatoportoenterostomy (Kasai procedure) in patients with biliary atresia (BA). However, the combined effect of these drugs (UDCA + GC) is little understood.Methods:This meta-analysis specifically evaluated the effect of UDCA + GC after the Kasai procedure in patients with BA. A comprehensive literature search was conducted for all relevant articles in the electronic databases Medline, PubMed, Cochrane, Excerpta Medica Database (EMBASE), China National Knowledge Infrastructure (CNKI), Chinese Biomedical Literature Database on Disc (CBM-disc), and Vendor Information Pages (VIP).Results:Eight studies with BA patients were finally included in our meta-analysis. The 8 identified studies consisted of 3 case-control, 3 cohort, and 2 randomized controlled trials (RCTs) with overall 530 subjects (144, 152, and 234 subjects, respectively). Among them, 312 patients were treated with UDCA + GC, while 218 received placebo or other intervention. The meta-analysis indicated that groups that received UDCA + GC had significantly lower rates of postoperative jaundice relative to the controls (pooled, odds ratio [OR] = 2.41; 95% confidence interval [CI] 1.44–4.04; Z = 3.34; P = .0008), while rates of cholangitis were similar (pooled, OR = 0.87; 95% CI 0.43–1.74; Z = 0.40; P = .69).Conclusions:Combined UDCA and GC intervention was superior to that of the control in accelerating the clearance of serum bilirubin in patients with BA after the Kasai procedure. However, this conclusion requires further confirmation using RCTs of high methodological quality.

In the News

Welcome to the June 2018 issue of C&amp;RL News. Every two years, ACRL’s Research Planning and Review Committee produces their “Top trends in academic libraries.” The 2018 edition discusses the publisher and vendor landscape, fake news and information literacy, project management, textbook affordability, the ethics of learning analytics and data collection, data sets and text mining, demand-driven acquisitions, open access, and legacy print collections. Many thanks to the committee for pulling together this important and popular survey of the current landscape of academic and research librarianship.