Google Queries Research Articles

Online Public Interest in Urological Cancers During the COVID-19 Pandemic: What Can “Dr. Google” Teach Us?

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has greatly affected health care priorities. ObjectiveTo explore and analyse trends in public online search for urological cancers. Design, setting, and participantsWe performed a retrospective analysis using the Google Health Trends online tool. Data related to urological cancer terms (“prostate cancer”, “kidney cancer”, and “bladder cancer”) were extracted. We analysed trends for the whole world and for five countries: Italy, the UK, France, Sweden, and the USA. Outcome measurements and statistical analysisA join-point regression model was used to define significant changes in trends over time. Week percentage changes (WPCs) were estimated to summarise linear trends. The Mann-Whitney test was used to compare the search volume during the COVID-19 pandemic period (from January 2020 to April 2021) and the equivalent period of 2018 and 2019. Results and limitationsDuring COVID-19, worldwide online interest decreased significantly for all urological cancers, especially prostate cancer (WPC: –13.9%, p = 0.004; WPC: –5.4%, p < 0.001; and WPC: –4.3%, p < 0.001, for prostate, kidney, and bladder cancers, respectively). The most important decline was observed in the USA. The interest for all cancers was significantly less during the COVID-19 pandemic than in the same periods of 2018 and 2019. ConclusionsOnline interest in urological cancers decreased significantly during the COVID-19 pandemic. Future studies will tell us whether this will translate into worse oncological outcomes. Patient summaryPatients are increasingly searching the Internet to get information on cancer. We explored Google queries during the COVID-19 pandemic and found that online interest decreased significantly for all urological cancers, especially prostate cancer. We do not know yet whether this will translate into worse prognosis for patients.

FORECASTING VIX INDEX AS A MEASURE OF MARKET VOLATILITY BY THE USE OF GOOGLE QUERIES

Modelling human behavior is rather challenging as imitating it with proxy variables is not straightforward. In recent years, search engines collect and provide us with a plethora of data, which might be a rather effective way of analyzing or forecasting human behavior. Although several authors tried to answer various questions on the usage of Google Trends data in financial markets, to the best of our knowledge, there are no previous studies carried out to forecast VIX Index using the Google searches on oil and related terms. In this paper we use Google searches on oil and related terms as a proxy variable for human expectations to model the CBOE Volatility Index. To that end, tradetional ARDL modelling was applied. The results indicate that there is statistically signify-cant relationship between Google queries on oil and market volatility. We explain this from the perspective of decision making since certain search activities on Google reveal the urge to show certain behavior and, on the other hand, the same behavior affects the market volatility.

What threatens stock markets more - The coronavirus or the hype around it?

We use a linear regularized model with structural changes and found that the coronavirus pandemic had a direct and an indirect effect (via media hype) on stock markets. We reveal a correlation between internet search queries, discussions of the pandemic in the press and social media, and changes in stock market indices. We demonstrated that the effect of the pandemic coverage in digital and printed media and the effect of Google queries was comparable to, and sometimes even exceeded, the effect of the pandemic itself. We showed the effect of hype on the volume of Google queries and social media publications.

How Search Engines Handle Suicide Queries

&#x0D; &#x0D; &#x0D; The suicide contagion effect posits that exposure to suicide- related content increases the likelihood of an individual engaging in suicidal behavior. Internet suicide-related queries correlate with suicide prevalence. However, suicide-related searches also lead people to access help resources. This article systematically evaluates the results returned from both general suicide terms and terms related to specific suicide means across three popular search engines—Google, Bing, DuckDuckGo— in both English and Spanish. We find that Bing and DuckDuckGo surface harmful content more often than Google. We assess whether search engines show suicide prevention hotline information, and find that 53% of English queries have this information, compared to 13% of Spanish queries. Looking across platforms, 55% of Google queries include hotline information, compared to 35% for Bing and 10% for DuckDuckGo. Specific suicide means queries are 20% more likely to surface harmful results on Bing and DuckDuckGo compared to general suicide term queries, with no difference on Google.&#x0D; &#x0D; &#x0D;

The Retrospective Analysis of Google Queries Related to Cardiovascular Diseases Symptoms in the Years 2004-2019.

The Internet enables immediate access to health-related information. We aimed to rank the complaints related to cardiovascular diseases among Google users globally and locally as well as investigate secular and seasonal trends in the years 2004 to 2019. We used Google Trends (GT) to identify and analyze course over time and regional interest of seven topics: "Chest pain," "Cyanosis," "Edema," "Orthopnea," "Palpitation," "Shortness of breath," and "Syncope." We analyzed secular trends using the seasonal Mann-Kendall test and seasonal variation using time series decomposition. We calculated the interest of all topics in proportion to the relative search volume (RSV) of "Chest Pain." Globally the most popular topics were: "Edema" (proportion to RSV of "Chest pain," 1.39), "Chest pain" (1.00), and Syncope (0.71). "Chest pain" was predominately searched in n = 25 countries, while "Edema" in n = 24, "Syncope" in n = 9, and "Shortness of breath" in n = 3. The RSV of all topics increases over time and the most dynamically for "Chest pain" (4.30 RSV/year), "Shortness of breath" (3.87 RSV/year), and "Palpitations" (3.69 RSV/year). Interest in "Chest pain," "Cyanosis," "Orthopnea," "Palpitations," and "Syncope" peaks in fall and winter, while interest in "Edema" in midsummer and "Shortness of breath" in April. Google users were particularly interested in "Edema," "Chest pain," and "Syncope." The interest in cardiovascular diseases-related symptoms increases over time and presents explicable seasonal variations. The Internet plays the acquisition of health-related information; thus, professionals should create and recommend evidence-based information sources for their patients.

Seasonal variation in lifestyle behavior in Poland: Google searches and market sales analysis

BackgroundDetection of the seasonal patterns of healthy and unhealthy behavior could be helpful for designing individual and population health interventions programs. This study investigates the seasonal variation in sales of common types of products in Poland and Polish Google queries related to healthy behavior.MethodsData of index sales from a large Polish retail store franchise, from January 2014 to August 2019, has been analyzed. The commercial data included twelve types of products. The interest of Google users was investigated using Google Trends statistics for the same period for six lifestyle-related topics. The seasonality was checked using time series analysis.ResultsSix of the consumer goods (dairy, ready-made meals, salty snacks, meats, beer, and cigarettes) were most commonly purchased in summer months, four (processed fish, food fats, wine, and alcohol 30%+) in December, and two (bread and sweets) in October. The lowest sales indexes were observed mostly in February. The interest in four topics that have been analyzed (“Diet,” “Dietitian,” “Weight loss,” and “Gym”), was highest in January, while interest in “Dietary supplements” was high in February, and “Running” in May. The search volume of the Google topics were the lowest in December.ConclusionThe purchase of food, drinks, and cigarettes, and the interest in information regarding different components of a healthy lifestyle has seasonal variation. New Year and Lent might be good periods to encourage healthy behavior. The motivation may decrease in summer and during Christmas.

Effect of Infodemic Regarding the Illegal Sale of Medications on the Internet: Evaluation of Demand and Online Availability of Ivermectin during the COVID-19 Pandemic.

The COVID-19 pandemic and the related infodemic generated confusion and increased demand of various pharmaceuticals, ushering in the opportunity for illicit online vendors to fill a gap in the marketplace using potentially dangerous products. The aim of our study is to provide evidence regarding increased demand, online availability and consumer accessibility of ivermectin, an anthelmintic agent, without substantiated indications in reference to SARS-CoV-2. In our study, we combined infodemiology methodology aligned with search engine result assessment and website analytics to evaluate patient safety risks. Users’ Google queries regarding ivermectin were trending and peaked during the last week of November 2020 and March 2021. Consumers more likely found links leading directly or indirectly (via redirection) to illegal online retailers representing nearly half (53.3%) of search engine result links regarding the first three result pages in December 2020 and topped off at 73.3% by March 2021. Illicit medicine retailers outnumbered and outranked their legitimate counterparts and dominated the first search engine results page. A vast majority (77.7%) of the identified online pharmacies were characteristically rogue; more than half (55.5%) offered prescription-only products without a valid medical prescription. Our results illustrate connection between infodemic and its consequences on the illicit online pharmacy market

Multivariate Analysis of Cryptocurrencies

Recently, the world of cryptocurrencies has experienced an undoubted increase in interest. Since the first cryptocurrency appeared in 2009 in the aftermath of the Great Recession, the popularity of digital currencies has, year by year, risen continuously. As of February 2021, there are more than 8525 cryptocurrencies with a market value of approximately USD 1676 billion. These particular assets can be used to diversify the portfolio as well as for speculative actions. For this reason, investigating the daily volatility and co-volatility of cryptocurrencies is crucial for investors and portfolio managers. In this work, the interdependencies among a panel of the most traded digital currencies are explored and evaluated from statistical and economic points of view. Taking advantage of the monthly Google queries (which appear to be the factors driving the price dynamics) on cryptocurrencies, we adopted a mixed-frequency approach within the Dynamic Conditional Correlation (DCC) model. In particular, we introduced the Double Asymmetric GARCH–MIDAS model in the DCC framework.

Availability and Promotion of Cannabidiol (CBD) Products in Online Vape Shops.

Vaping products containing cannabidiol (CBD), a cannabis-derived compound used in wellness products and available in all 50 US states, were recently implicated in outbreaks of poisonings. Little is known about the commercial availability of CBD products in vape shops (i.e., stores that sell e-cigarettes). To document the availability and marketing of CBD products in online vape shops, in June 2020, we used the Google Chrome browser without cached data to collect the first two pages of search results generated by five Google queries (n = 100 search results) indicative of shopping for vaping products (e.g., “order vapes”). We then determined whether and what type of CBD products could be mail-ordered from the returned websites, and whether any explicit health claims were made about CBD. Over a third of the search results (n = 37; 37.0%) directed to vape shops that allowed visitors to also mail-order CBD. These shops sold 12 distinct categories of CBD products–some with direct analogs of tobacco or cannabis products including CBD cigarettes, edibles, flowers, pre-rolled joints, and vapes. Two vape shops made explicit health claims of the therapeutic benefits of CBD use, including in the treatment of anxiety, inflammation, pain, and stress. The abundance and placement of CBD in online vape shops suggests a growing demand and appeal for CBD products among e-cigarette users. Additional surveillance on the epidemiology of CBD use and its co-use with tobacco is warranted.

Google Trends Analysis Shows Increasing Public Interest in Platelet-Rich Plasma Injections for Hip and Knee Osteoarthritis

BackgroundOsteoarthritis is a chronic musculoskeletal condition that frequently affects the hip and knee joints. Given the burden associated with surgical intervention for hip and knee osteoarthritis, patients continue to search for potential nonoperative treatments. One biologic therapy with mixed clinical and basic science evidence for treating osteoarthritis is platelet-rich plasma injections into the affected joint. We used the Google Trends tool to provide a quantitative analysis of national interest in platelet-rich plasma injections for hip and knee osteoarthritis. MethodsGoogle Trends parameters were selected to obtain search data from January 2009 to December 2019. Various combinations of “arthritis,” “osteoarthritis,” “PRP,” “platelet-rich plasma,” “knee,” and “hip” were entered into the Google Trends tool and trend analyses were performed. ResultsThree linear models were generated to display search volume trends in the United States for platelet-rich plasma and osteoarthritis, hip osteoarthritis, and knee osteoarthritis, respectively. All models showed increased Google queries as time progressed (P < .001), with R2 ranging from 0.837 to 0.940. Seasonal, income-related, and geographic variations in public interest in platelet-rich plasma for osteoarthritis were noted. ConclusionOur results demonstrate a significant rise in Google queries related to platelet-rich plasma injections for osteoarthritis of the hip and knee since 2009. Surgeons treating hip and knee osteoarthritis patients can expect continued interest in platelet-rich plasma, despite inconclusive clinical and basic science data. Trends in public interest may inform patient counseling, shared decision-making, and directions for future clinical research.

Exploring the role of non-pharmaceutical interventions (NPIs) in flattening the Greek COVID-19 epidemic curve

Due to the COVID-19 pandemic originating in China in December 2019, apart from the grave concerns on the exponentially increasing casualties, the affected countries are called to deal with severe repercussions in all aspects of everyday life, from economic recession to national and international movement restrictions. Several regions managed to handle the pandemic more successfully than others in terms of life loss, while ongoing heated debates as to the right course of action for battling COVID-19 have divided the academic community as well as public opinion. To this direction, in this paper, an autoregressive COVID-19 prediction model with heterogeneous explanatory variables for Greece is proposed, taking past COVID-19 data, non-pharmaceutical interventions (NPIs), and Google query data as independent variables, from the day of the first confirmed case—February 26th—to the day before the announcement for the quarantine measures’ softening—April 24th. The analysis indicates that the early measures taken by the Greek officials positively affected the flattening of the epidemic curve, with Greece having recorded significantly decreased COVID-19 casualties per million population and managing to stay on the low side of the deaths over cases spectrum. In specific, the prediction model identifies the 7-day lag that is needed in order for the measures’ results to actually show, i.e., the optimal time-intervention framework for managing the disease’s spread, while our analysis also indicates an appropriate point during the disease spread where restrictive measures should be applied. Present results have significant implications for effective policy making and in the designing of the NPIs, as the second wave of COVID-19 is expected in fall 2020, and such multidisciplinary analyses are crucial in order to understand the evolution of the Daily Deaths to Daily Cases ratio along with its determinants as soon as possible, for the assessment of the respective domestic health authorities’ policy interventions as well as for the timely health resources allocation.

The Impact of COVID-19 Lockdown on Public Online Interest in Food Priorities in Thailand: A Google Trends Analysis During ‘National Hard’ and ‘Localized Soft’ Lockdown

ObjectivesThailand has experienced two waves of COVID-19 pandemic with different levels of restrictive measures has been adopted. The first wave led to a ‘national hard’ shutdown with only essential merchandise and takeaway foods were allowed to serve, while a ‘localized soft’ measure with no restrictions on the operating of food supply chains have been implemented in the second wave. The study aimed to investigate the effects of these tiered lockdowns on public online interest in food priorities in Thailanders.MethodsThe Google query's search volume related to food priorities were extracted from a duration of December 1, 2019, to February 1, 2021. Searches were conducted in Thai. A time-series analysis of structural change in linear regression models with Chow test was performed.ResultsResults revealed that when the official statement of COVID-19 outbreaks and lockdown were released, trending online searchesin relation to foodstuff dramatically increased independently with the level of adopted restrictions. Examining 1-month lockdown period, the changes in search frequency were more likely to be greater in ‘national hard’ than ‘localized soft’ measures, with the magnitude of differences ranged from 10% to 30% depends on distinct keywords. The searches reached the highest volume within one to two weeks after the announcement. Interests in essential food items related to health motivation appeared with higher frequency such as vegetables, fruits, and legumes as well as main protein sources like fish, pork, chicken. Searches for long-lasting foodstuffs such as sticky rice, corn, flour, bread, egg, tofu, packaged noodles, canned foods, frozen foods, milk, and dairy products were likewise more popular. Besides, comfort foods were also received more attention during the lockdown period (cakes, desserts, pizza, sausages, fried foods). Contrarily, interest was reduced among short shelf-life foods (seafood).ConclusionsThe contribution of this study provides initial insights into food-seeking behavioral changes during ‘hard’ or ‘soft’ pandemic lockdown in Thailand. COVID-19 has dramatically changed Thai consumer's lifestyle and their food concerns as well as the motivations behind them. Further studies are needed to explore the long-lasting impacts of food consumption behavior on the ‘new normality’.Funding SourcesThis research received no funding.

Employing Google Trends and Deep Learning in Forecasting Financial Market Turbulence

In this paper we apply text mining methodologies on a set of 10,000 Central Bank speeches to construct a financial dictionary, based on which we use Google Trends indices to measure people’s interest in financial news. Particularly, we investigate the relationship between these indices and financial market turbulence leveraging on Deep Learning techniques, which are benchmarked against a variety of Machine Learning algorithms and traditional statistical techniques. Our main finding is that Google queries convey information able to predict future market turbulence in a short time period (one month), and that Deep Learning algorithms clearly outperform over benchmark techniques. Google Trends can provide useful input in the creation of crisis Early Warning Systems, as social data are more responsive compared to official financial indicators, which are usually available with a lag of several weeks or months. Thus, such an Early Warning System (EWS) that is continuously updated with current social data can be a valuable tool for policymakers, as it can immediately identify signs of whether a crisis is imminent or not.

State-level Google search volumes for neck and shoulder pain correlate with psychosocial and behavioral health indicators

BackgroundThere is growing interest in passively-generated online search data for health sciences research, but limited use to address musculoskeletal illness. Questions/purposes(1) To determine geographic and seasonal patterns in Google queries for shoulder, knee, hip, and neck pain across the United States, and (2) to quantify the state-level correlation of the volume of online symptom searches with rates of various population health indicators. MethodsUsing Google trends, we identified queries for shoulder, knee, hip, and neck pain in every state of the United States during 2018. We assessed the correlation of state-level Google search volumes with 9 population health indicators extracted from the 2018 Behavioral Risk Factor Surveillance System survey: tobacco use, obesity, diabetes, hyperlipidemia, depression, arthritis, cardiovascular disease, participation in physical activities, and college education. ResultsNeck and shoulder pain were the most common queries in most Southern states, while knee pain was generally the top query elsewhere. Queries for neck and shoulder pain peaked during the late fall and winter, while searches for knee and hip pain peaked in the spring. State-level search volumes for shoulder and neck pain correlated closely with all health indicators––particularly with tobacco use, obesity, cardiovascular disease, hyperlipidemia, participation in physical activities and college education. The only strong correlation of hip pain queries was with self-reported prevalence of arthritis. Knee pain queries were not associated with any of the studied health indicators. ConclusionThis study highlights the potential of search engine data to be utilized as population-level health indicators. The state-level correlation of psychosocial and behavioral health indicators with online search volumes for neck and shoulder pain may reflect the influence of mental and social health on the experience of pain.

Associations between Google Search Trends for Symptoms and COVID-19 Confirmed and Death Cases in the United States.

We utilize functional data analysis techniques to investigate patterns of COVID-19 positivity and mortality in the US and their associations with Google search trends for COVID-19-related symptoms. Specifically, we represent state-level time series data for COVID-19 and Google search trends for symptoms as smoothed functional curves. Given these functional data, we explore the modes of variation in the data using functional principal component analysis (FPCA). We also apply functional clustering analysis to identify patterns of COVID-19 confirmed case and death trajectories across the US. Moreover, we quantify the associations between Google COVID-19 search trends for symptoms and COVID-19 confirmed case and death trajectories using dynamic correlation. Finally, we examine the dynamics of correlations for the top nine Google search trends of symptoms commonly associated with COVID-19 confirmed case and death trajectories. Our results reveal and characterize distinct patterns for COVID-19 spread and mortality across the US. The dynamics of these correlations suggest the feasibility of using Google queries to forecast COVID-19 cases and mortality for up to three weeks in advance. Our results and analysis framework set the stage for the development of predictive models for forecasting COVID-19 confirmed cases and deaths using historical data and Google search trends for nine symptoms associated with both outcomes.

Forecasting Spanish unemployment with Google Trends and dimension reduction techniques

This paper presents a method to improve the one-step-ahead forecasts of the Spanish unemployment monthly series. To do so, we use numerous potential explanatory variables extracted from searches in Google (Google Trends tool). Two different dimension reduction techniques are implemented (PCA and Forward Stepwise Selection) to decide how to combine the explanatory variables or which ones to use. The results of a recursive forecasting exercise reveal a statistically significant increase in predictive accuracy of 10–25%, depending on the dimension reduction method employed. A deep robustness analysis confirms these findings, as well as the relevance of using a large amount of Google queries together with a dimension reduction technique, when no prior information on which are the most informative queries is available.

Consulting ‘Dr. Google’ for minimally invasive urological oncological surgeries: A contemporary web‐based trend analysis

To determine web-based public interest in minimally invasive surgery (MIS) specifically for urological oncological surgical procedures and how interest in robotics and laparoscopy compares over time. Worldwide search-engine trend analysis included electronic Google queries of MIS urologic options from January 2004 to August 2019, worldwide. Join-point regression was performed. Comparison of annual relative search volume (ARSV) and average annual percentage change (AAPC) were analysed to assess loss or gain of interest. Evaluations were made regarding 1) penetrance of interest for MIS in Urology; 2) how MIS urologic procedures compared over time; and 3) which were the top related queries to searches for urologic oncology procedures. Increased interest was found for all of the MIS procedures evaluated. Mean ARSV for robotic approach was higher for the search term 'prostatectomy" (44.8 vs. 13.5; p<0.001) and 'partial nephrectomy" (27.1 vs.11.5; p=0.02). No statistical difference was found for the search terms 'cystectomy" or 'nephrectomy". The analysis of mean (∆-ARSV) of MIS procedures measured between the first and last 12 months of the study period showed an increased interest with a more pronounced ∆-ARSV for robotic procedures. The top related searches for all surgical procedures were examined showing an increasing inquisitiveness with regards of type of urological cancers, treatment options, type of surgery and prognostic outcomes. People are increasingly searching the web for MIS urological procedures. A growing appeal for robotics is demonstrated, especially for prostatectomy and partial nephrectomy where the robotic approach is gaining traction, suggesting a shift in mind-set amongst people seeking urological healthcare information.

The Influence of Media Coverage and Governmental Policies on Google Queries Related to COVID-19 Cutaneous Symptoms: Infodemiology Study.

BackgroundDuring COVID-19, studies have reported the appearance of internet searches for disease symptoms before their validation by the World Health Organization. This suggested that monitoring of these searches with tools including Google Trends may help monitor the pandemic itself. In Europe and North America, dermatologists reported an unexpected outbreak of cutaneous acral lesions (eg, chilblain-like lesions) in April 2020. However, external factors such as public communications may also hinder the use of Google Trends as an infodemiology tool.ObjectiveThe study aimed to assess the impact of media announcements and lockdown enforcement on internet searches related to cutaneous acral lesions during the COVID-19 outbreak in 2020.MethodsTwo searches on Google Trends, including daily relative search volumes for (1) “toe” or “chilblains” and (2) “coronavirus,” were performed from January 1 to May 16, 2020, with the United States, the United Kingdom, France, Italy, Spain, and Germany as the countries of choice. The ratio of interest over time in “chilblains” and “coronavirus” was plotted. To assess the impact of lockdown enforcement and media coverage on these internet searches, we performed an interrupted time-series analysis for each country.ResultsThe ratio of interest over time in “chilblains” to “coronavirus” showed a constant upward trend. In France, Italy, and the United Kingdom, lockdown enforcement was associated with a significant slope change for “chilblain” searches with a variation coefficient of 1.06 (SE 0.42) (P=0.01), 1.04 (SE 0.28) (P<.01), and 1.21 (SE 0.44) (P=0.01), respectively. After media announcements, these ratios significantly increased in France, Spain, Italy, and the United States with variation coefficients of 18.95 (SE 5.77) (P=.001), 31.31 (SE 6.31) (P<.001), 14.57 (SE 6.33) (P=.02), and 11.24 (SE 4.93) (P=.02), respectively, followed by a significant downward trend in France (–1.82 [SE 0.45]), Spain (–1.10 [SE 0.38]), and Italy (–0.93 [SE 0.33]) (P<.001, P=0.004, and P<.001, respectively). The adjusted R2 values were 0.311, 0.351, 0.325, and 0.305 for France, Spain, Italy, and the United States, respectively, suggesting an average correlation between time and the search volume; however, this correlation was weak for Germany and the United Kingdom.ConclusionsTo date, the association between chilblain-like lesions and COVID-19 remains controversial; however, our results indicate that Google queries of “chilblain” were highly influenced by media coverage and government policies, indicating that caution should be exercised when using Google Trends as a monitoring tool for emerging diseases.

Forecasting building permits with Google Trends

We propose a useful way to predict building permits in the USA, exploiting rich data from web search queries. The relevance of our work relies on the fact that the time series on building permits is used as a leading indicator of economic activity in the construction sector. Nevertheless, new data on building permits are released with a lag of a few weeks. Therefore, an accurate nowcast of this leading indicator is desirable. In this paper, we show that models including Google search queries nowcast and forecast better than many of our good, not naive benchmarks. We show this with both in-sample and out-of-sample exercises. In addition, we show that the results of these predictions are robust to different specifications, the use of rolling or expanding windows and, in some cases, to the forecasting horizon. Since Google queries information is free, our approach is a simple and inexpensive way to predict building permits in the USA.

The Role of Health Informatics in Facilitating Communication Strategies for Community Health Workers in Clinical Settings: A Scoping Review.

Community health workers (CHWs) have been identified as effective members of health care teams in improving health outcomes and reducing health disparities, especially among racial and ethnic minorities. There is a growing interest in integrating CHWs into clinical settings using health informatics-based strategies to help provide coordinated patient care and foster health-promoting behaviors. In this scoping review, we outline health informatics-based strategies for CHW-provider communication that aim to improve integration of CHWs into clinical settings. A scoping review was conducted. US-based sources between 2013 and 2018 were eligible. Literature was identified through PubMed and Google queries and hand searching key reference lists. Articles were screened by title, abstract, and then full-text. Health informatics-based strategies for CHW-provider communication and their impacts on patient care were documented and analyzed. Thirty-one articles discussed health informatics-based strategies for CHW-provider communication and/or integration of CHWs into clinical settings. These strategies include direct CHW documentation of patient encounters in electronic health records (EHRs) and other Web-based applications. The technologies were used to document patient encounters and patient barriers to health care providers but were additionally used for secure messaging and referral systems. These strategies were found to meet the needs of providers and CHWs while facilitating CHW-provider communication, CHW integration, and coordinated care. Health informatics-based strategies for CHW-provider communication are important for facilitating CHW integration and potentially improving patient outcomes and improving disparities among minority populations. This integration can support the development of future disease prevention programs and health care policies in which CHWs are an established part of the public health workforce. However, further investigation must be done on overcoming implementation challenges (eg, lack of time or funding), especially in smaller resource-challenged community-based clinics that serve minority patients.