To rapidly monitor recent changes in the use of telemedicine, the National Center for Health Statistics (NCHS) and the Health Resources and Services Administration’s Maternal and Child Health Bureau (HRSA MCHB) partnered with the Census Bureau on an experimental data system called the Household Pulse Survey. This 20-minute online survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about the impact of the coronavirus pandemic in the U.S. The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of the COVID-19 pandemic on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.
As of 2022, 67 percent of primary care physicians in the United Kingdom reported seeing more than a quarter of their patients through telehealth in a typical week, the highest share among selected high-income countries. On the other hand, 28 percent of physicians in France and 18 percent of physicians in the U.S. reported not using telehealth at all.
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Introduction
Telemedicine Statistics: Telemedicine has emerged as a transformative force in healthcare, revolutionizing care delivery by enabling remote access to medical professionals through digital platforms. It facilitates real-time consultations with doctors, nurses, and specialists, streamlining patient access to care and reducing geographic and logistical barriers.
As of 2024, the number of users engaging in online doctor consultations surpassed 116 million globally, reflecting a twofold increase from approximately 57 million in 2019. This exponential growth is driven by rapid advancements in digital health technologies and a rising global emphasis on accessible, patient-centric care. Increasing reliance on virtual healthcare solutions underscores telemedicine's expanding role in improving patient outcomes, enhancing efficiency, and shaping the future of healthcare delivery.
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Remote Patient Monitoring Statistics: Remote patient monitoring (RPM) refers to using technology to collect health data from individuals outside traditional healthcare settings and transmit this data back to healthcare providers for analysis and monitoring.
RPM allows healthcare professionals to track patients' conditions remotely, monitor vital signs, and manage chronic illnesses without frequent in-person visits.
Remote patient monitoring statistics will help you to show how technological advancements are emerging in the healthcare sector.
This statistic shows the number of telehealth visits in the U.S. from 2013 to 2017, and provides a forecast from 2018 to 2022 (low to high estimates). In 2013, the total number of telehealth visits reached some 22 million.
The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of telemedicine access and use for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about whether providers offered telemedicine (including video and telephone appointments) in the last 2 months—both during and before the pandemic—and about the use of telemedicine in the last 2 months during the pandemic. As a result of the coronavirus pandemic, many local and state governments discouraged people from leaving their homes for nonessential reasons. Although health care is considered an essential activity, telemedicine offers an opportunity for care without the potential or perceived risks of leaving the home. The National Health Interview Survey, conducted by NCHS, added telemedicine questions to its sample adult questionnaire in July 2020. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/telemedicine-use.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of telemedicine use during the pandemic (beginning in Phase 3.1, which started on April 14, 2021). The Household Pulse Survey reports telemedicine use in the last 4 weeks among adults and among households with at least one child under age 18 years. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who have a usual place of care and a provider that offered telemedicine in the past 2 months, who used telemedicine in the past 2 months, or who have a usual place of care and a provider that offered telemedicine prior to the coronavirus pandemic. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/telemedicine.htm#limitations
According to a report carried out by the Consumer Choice Center in 2023, telemedicine had the greatest potential for time savings in healthcare in Australia. It was estimated in the most optimistic scenario those in Australia could save up to *** minutes, or just over *** hours, each year. Even in a conservative estimate, Australians could save almost an **** an half with an uptake in telemedicine use.
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The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates were generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and increased variability from lower sample sizes. Use of the RANDS platform allowed NCHS to produce more timely data than would have been possible using our traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below we provide experimental estimates of telemedicine access and use for two rounds of RANDS during COVID-19. Data collection for the first round occurred between June 9, 2020 and July 6, 2020 and data collection for the second round occurred between August 3, 2020 and August 20, 2020. Information needed to interpret these estimates can be found in the Technical Notes.
NCHS included questions about whether providers offered telemedicine (including video and telephone appointments)—both during and before the pandemic—and about the use of telemedicine during the pandemic. As a result of the coronavirus pandemic, many local and state governments discouraged people from leaving their homes for nonessential reasons. Although health care is considered an essential activity, telemedicine offers an opportunity for care without the potential or perceived risks of leaving the home. The National Health Interview Survey (NHIS), conducted by NCHS, added telemedicine questions to its sample adult questionnaire in July 2020. Currently RANDS is the only NCHS source for statistics related to telemedicine availability and use.
The experimental estimates on this page are derived from RANDS and show the percentage of U.S. adults who have a usual place of care and a provider that offered telemedicine in the past two months, who used telemedicine in the past two months, or who have a usual place of care and a provider that offered telemedicine prior to the coronavirus pandemic.
Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:
See the Splitgraph documentation for more information.
According to our latest research, the global telehealth and telemedicine services market size reached USD 134.6 billion in 2024, with a robust compound annual growth rate (CAGR) of 17.3% expected from 2025 to 2033. By 2033, the market is forecasted to achieve a value of USD 441.1 billion. This exceptional growth is primarily driven by the increasing adoption of digital healthcare solutions, ongoing advancements in communication technologies, and a growing emphasis on remote patient management to enhance healthcare accessibility and efficiency worldwide.
The primary growth factor for the telehealth and telemedicine services market is the global shift toward digital healthcare delivery, propelled by the need for accessible and cost-effective medical services. The COVID-19 pandemic dramatically accelerated the adoption of telemedicine, breaking down regulatory and technological barriers that previously hindered widespread implementation. Patients and healthcare providers have increasingly recognized the convenience, safety, and efficiency of remote consultations, leading to a paradigm shift in healthcare delivery models. Furthermore, the integration of advanced technologies such as artificial intelligence, machine learning, and IoT devices has enabled more accurate remote diagnostics, continuous patient monitoring, and personalized care, further fueling market expansion.
Another significant driver is the growing prevalence of chronic diseases and the rising demand for continuous healthcare monitoring, particularly among aging populations in developed and developing regions. Telehealth platforms now offer comprehensive solutions for managing chronic conditions such as diabetes, hypertension, and cardiovascular diseases, allowing patients to receive timely interventions and reducing the burden on healthcare facilities. Additionally, increased investments from both public and private sectors have facilitated the development of robust telemedicine infrastructure, including secure data exchange, interoperability standards, and user-friendly interfaces, making these services more accessible to both urban and rural populations. The ongoing evolution of regulatory frameworks supporting telemedicine reimbursement and cross-border healthcare delivery is also contributing to sustained market growth.
Healthcare providers and payers are leveraging telehealth and telemedicine services to streamline operations, reduce costs, and expand their reach to underserved communities. The adoption of cloud-based and web-based platforms has enabled seamless integration with existing healthcare systems, improving data management, patient engagement, and care coordination. As governments worldwide continue to prioritize digital health transformation and invest in telemedicine initiatives, the market is expected to witness continuous innovation and expansion. The growing acceptance of telehealth among patients, driven by increased digital literacy and the proliferation of smartphones and connected devices, is further solidifying the market's upward trajectory.
Telehealth Diagnostics is a pivotal component of the telehealth and telemedicine services market, offering innovative solutions for remote patient assessment and management. With the integration of advanced diagnostic tools and real-time data analytics, healthcare providers can now conduct comprehensive evaluations without the need for in-person visits. This capability is particularly beneficial for patients with chronic conditions, as it allows for continuous monitoring and timely interventions. The use of telehealth diagnostics is transforming the way healthcare is delivered, enabling more personalized and efficient care while reducing the burden on healthcare facilities. As technology continues to evolve, telehealth diagnostics is expected to play an increasingly important role in enhancing patient outcomes and expanding access to quality healthcare services.
From a regional perspective, North America currently dominates the telehealth and telemedicine services market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The United States is at the forefront of telemedicine adoption, driven by favorable reimbursement policies, advanced healthcare infrastructure, and
Electronic health record data from 203 community health centers across 13 states between 01/01/2019-6/31/2021 to describe trends in telemedicine visit rates over time. Qualitative data were collected from 13 of those community health centers to understand factors influencing adoption and implementation of telemedicine.
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This data set includes monthly counts and rates (per 1,000 beneficiaries) of services provided via telehealth, including live audio video, remote patient monitoring, store and forward, and other telehealth, to Medicaid and CHIP beneficiaries, by state.
These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating telehealth services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Claims Volume - OT, Procedure Codes - OT Professional. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data.
Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.
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The COVID-19 health pandemic acted as a punctuated event that spurred rapid change in healthcare delivery, pushing us to adopt new socio-cultural norms and ways of communicating. The pandemic also altered several long-standing structures within healthcare organizations. To better understand peoples’ perceptions of how the pandemic shifted technological structures within healthcare, this study examines a telemedicine (TM) Reddit forum. Analyzing language use on Reddit offered a bottom-up means of examining the public’s feelings, understandings, and conceptualizations of TM. Studying language use provides rich insight into how people experience and make sense of the world around them. We specifically examined three time periods: (1): prior to the COVID-19 outbreak, (2), the two years at the center of the outbreak, wherein TM coverage increased—high-risk COVID, and (3) the point at which COVID-19 community risk levels largely diminished —low-risk COVID. Using LIWC, we studied around 1500 conversations posted in the TM forum from 2015 to 2022. Results reveal how people’s language use and emotions surrounding TM meaningfully shifted over-time, along with the pandemic stages. Specifically, negative emotion language significantly increased and positive emotion language significantly decreased during Time 3—low-risk COVID. Use of body and health words increased throughout the time periods, and there were no significantly differences in cognitive processing words use—which were used very frequently across all time periods. Theoretical and practical implications are offered.
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Telemedicine Market Size 2025-2029
The telemedicine market size is forecast to increase by USD 159.4 billion, at a CAGR of 17.5% between 2024 and 2029. Increasing incidence of chronic diseases will drive the telemedicine market.
Major Market Trends & Insights
North America dominated the market and accounted for a 39% growth during the forecast period.
By Application - Telehospital and teleclinic segment was valued at USD 43.10 billion in 2023
By Product - Services segment accounted for the largest market revenue share in 2023
Market Size & Forecast
Market Opportunities: USD 363.12 billion
Market Future Opportunities: USD 159.40 billion
CAGR : 17.5%
North America: Largest market in 2023
Market Summary
The market is experiencing significant growth and transformation, driven by the increasing incidence of chronic diseases and the integration of artificial intelligence (AI) technology. Telemedicine, a digital health solution that enables remote clinical services, is becoming an essential component of modern healthcare systems. According to recent studies, the market is projected to expand at a robust pace, with teleconsultation and remote monitoring services witnessing high demand. Core technologies, such as AI, machine learning, and the Internet of Things (IoT), are revolutionizing telemedicine applications. These technologies enable real-time patient monitoring, automated diagnosis, and personalized treatment plans, enhancing patient care and outcomes.
However, challenges persist, including data security and privacy concerns, which must be addressed to ensure the safe and effective implementation of telemedicine services. Key companies, including Teladoc Health, American Well, and Amwell, are leading the market with innovative solutions. As the telemedicine landscape continues to evolve, it's essential to stay informed about the latest trends and developments.
What will be the Size of the Telemedicine Market during the forecast period?
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How is the Telemedicine Market Segmented and what are the key trends of market segmentation?
The telemedicine industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Application
Telehospital and teleclinic
Telehome
Product
Services
Solutions
Type
Real time
Store and forward
Others
Geography
North America
US
Canada
Europe
France
Germany
Italy
UK
APAC
China
India
Japan
South Korea
Rest of World (ROW)
By Application Insights
The telehospital and teleclinic segment is estimated to witness significant growth during the forecast period.
The market growth is driven by the integration of advanced technologies such as patient education materials, medical device integration, and patient engagement strategies. Telehealth platforms and remote diagnostics enable healthcare providers to offer consultations and treatments remotely, addressing the needs of patients in underserved areas. The market is further propelled by the adoption of data analytics dashboards, clinical decision support systems, and remote patient monitoring, which facilitate proactive healthcare management and improved patient outcomes. Moreover, the market is witnessing significant advancements in tele-surgery robots, digital therapeutics, and chronic disease management solutions. Tele-icu monitoring, remote rehabilitation, and telepharmacy services are also gaining traction, enhancing the overall efficiency and accessibility of healthcare services.
Telehealth platforms and wearable health sensors are revolutionizing home healthcare monitoring, while secure video conferencing and predictive analytics models are transforming mental health teletherapy and virtual consultations. The market's continuous evolution is evident in the emergence of physician communication tools, mhealth applications, and electronic health records. AI-powered diagnostics and interoperability standards are streamlining data exchange and ensuring seamless integration across various healthcare systems. Data encryption protocols and health information exchange are prioritized to maintain data security and privacy. According to recent reports, the market is currently experiencing a 20% increase in adoption, with future industry growth expected to reach 25% in the coming years.
These figures underscore the market's potential and the significant role it plays in shaping the future of healthcare delivery.
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The Telehospital and teleclinic segment was valued at USD 43.10 billion in 2019 and showed a gradual increase during the forecast period.
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Regional Analysis
North
According to our latest research, the global market size for Artificial Intelligence in Telemedicine reached USD 4.2 billion in 2024, driven by the growing adoption of digital health solutions and the integration of advanced AI algorithms in remote healthcare services. The market is projected to expand at a robust CAGR of 28.7% during the forecast period, reaching a value of USD 41.3 billion by 2033. This remarkable growth is underpinned by the increasing demand for efficient and accessible healthcare, especially in the aftermath of the COVID-19 pandemic, and the continuous advancements in machine learning and data analytics technologies.
One of the primary growth factors propelling the Artificial Intelligence in Telemedicine market is the rising necessity for remote healthcare services, particularly in rural and underserved regions. The shortage of healthcare professionals, coupled with the increasing burden of chronic diseases, has necessitated the adoption of telemedicine solutions that leverage AI for enhanced decision-making, diagnosis, and patient monitoring. AI-powered telemedicine platforms enable healthcare providers to deliver high-quality care remotely, reducing the need for in-person visits and thereby improving healthcare accessibility and efficiency. Furthermore, the integration of AI in telemedicine has significantly improved the accuracy and speed of diagnosis, leading to better patient outcomes and optimized resource utilization.
Another critical driver is the rapid technological advancements in AI and machine learning, which have revolutionized the telemedicine landscape. The development of sophisticated algorithms capable of analyzing vast amounts of patient data in real-time has enabled healthcare providers to offer personalized and predictive care. These AI-driven tools assist clinicians in identifying patterns, forecasting disease progression, and recommending tailored treatment plans, thereby enhancing the overall quality of care. Additionally, the proliferation of wearable devices and mobile health applications has facilitated continuous patient monitoring and data collection, further fueling the growth of the Artificial Intelligence in Telemedicine market. The increasing acceptance of these technologies among both patients and healthcare providers is expected to sustain market momentum in the coming years.
Government initiatives and favorable regulatory frameworks have also played a pivotal role in accelerating the adoption of AI in telemedicine. Several countries have introduced policies to support telehealth infrastructure development, promote digital health literacy, and ensure data privacy and security. These initiatives have encouraged investments in AI-powered telemedicine platforms and fostered collaborations between technology companies and healthcare institutions. Moreover, reimbursement models for telemedicine services are evolving, making it financially viable for providers to integrate AI solutions into their practice. The combined effect of these factors is driving the widespread adoption of Artificial Intelligence in Telemedicine, positioning it as a cornerstone of modern healthcare delivery.
From a regional perspective, North America continues to dominate the global Artificial Intelligence in Telemedicine market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The presence of advanced healthcare infrastructure, high digital literacy, and significant investments in AI research and development have contributed to the region’s leadership. Meanwhile, Asia Pacific is witnessing the fastest growth, fueled by increasing healthcare expenditure, expanding telemedicine initiatives, and a large population base. Latin America and the Middle East & Africa are also experiencing steady growth, driven by the growing acceptance of telemedicine and efforts to bridge healthcare gaps in remote areas. The global landscape is expected to remain dynamic, with emerging markets playing an increasingly important role in the market’s expansion.
In a survey of 398 healthcare professionals, it is predicted that after the coronavirus (COVID-19) pandemic almost 20 percent of patient appointments will still be conducted via telemedicine, compared to 2 percent beforehand and 61 perhaps during the pandemic. This statistic shows the percentage of patient appointments in the U.S. conducted via telemedicine before, during and after the COVID-19 pandemic, as of April 21, 2020.
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Artificial Intelligence In Telemedicine Market Size 2025-2029
The artificial intelligence in telemedicine market size is forecast to increase by USD 31.14 billion at a CAGR of 25% between 2024 and 2029.
The Artificial Intelligence (AI) in telemedicine market is witnessing substantial growth, driven by the increasing demand for remote healthcare services and the need for efficient, scalable solutions among healthcare providers. AI integration enhances telemedicine platforms by enabling more accurate diagnostics, personalized treatment recommendations, and improved clinical decision-making, all of which are critical for healthcare organizations aiming to optimize patient outcomes and operational efficiency. The market is further supported by continuous innovation and the launch of advanced AI in telemedicine powered solutions tailored for virtual care environments. However, data privacy and security remain significant concerns, as the digital transmission and storage of sensitive patient information expose healthcare systems to potential breaches and regulatory risks
With the increasing use of telemedicine and AI, sensitive patient data is being transmitted and stored digitally, making data security a major concern. Ensuring the confidentiality and protection of patient data is crucial for the growth and success of AI in Telemedicine market players. Companies must invest in robust security measures and adhere to regulatory standards to mitigate these risks and build trust with their customers.
What will be the Size of the Artificial Intelligence In Telemedicine Market during the forecast period?
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The artificial intelligence (AI) in telemedicine market continues to evolve, with healthcare providers increasingly integrating AI-driven solutions into their virtual care offerings. Telemedicine infrastructure is enhanced through AI-powered virtual assistants, enabling seamless patient engagement and clinical decision support. Personalized medicine benefits from data integration and predictive analytics, while AI-driven diagnostics and machine learning algorithms advance medical imaging analysis. Insurance companies leverage AI for streamlined claims processing and risk assessment. Telehealth platforms incorporate AI for mental health support, virtual care, and emergency medicine. High-speed internet access and cloud computing facilitate remote patient monitoring and real-time data analysis.
Wearable sensors and remote patient monitoring systems collect vast amounts of data, which is analyzed using AI for predictive analytics and clinical decision support. Regulatory compliance is ensured through AI-driven systems, while deep learning and computer vision are applied to drug discovery and specialty care. Natural language processing and video conferencing improve patient education and communication. AI-driven systems also support remote surgery and chronic disease management. Data privacy and big data analytics are essential considerations in the evolving AI telemedicine landscape.
How is this Artificial Intelligence In Telemedicine Industry segmented?
The artificial intelligence in telemedicine industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Component
Software
Hardware
Services
End-user
Pharmaceutical companies
Hospitals
Research institutes
Others
Technology Specificity
Machine Learning
Natural Language Processing
Computer Vision
Deep Learning
Application
Diagnostics
Remote Monitoring
Virtual Assistants
Drug Discovery
Deployment Type
Cloud-Based
On-Premises
Geography
North America
US
Canada
Europe
France
Germany
UK
Middle East and Africa
UAE
APAC
Australia
China
India
South Korea
Rest of World (ROW)
By Component Insights
The software segment is estimated to witness significant growth during the forecast period.
The artificial intelligence (AI) market in telemedicine is experiencing significant growth, with the software segment playing a pivotal role. This segment encompasses diagnostic platforms, virtual assistants, clinical decision support systems, and data analytics tools, all of which leverage machine learning (ML), natural language processing (NLP), and other advanced AI techniques. AI-driven diagnostic software utilizes sophisticated algorithms to analyze medical data, including medical images, electronic health records (EHR), and genetic information, enabling healthcare providers to make more accurate diagnoses and offer evidence-based treatment recommendations. Virtual assistants, powered by AI, enhance patient engagement and streamline workflows, while predictive analytics tools help iden
The National Ambulatory Medical Care Survey (NAMCS), conducted by the National Center for Health Statistics (NCHS), collects data on visits to physician offices to describe patterns of ambulatory care delivery in the United States. As part of NAMCS, the Physician Induction Interview collects information about practice characteristics at physician offices. Partway through the 2020 NAMCS, NCHS added questions to the Physician Induction Interview to assess physician experiences related to COVID-19 in office-based settings. The data include nationally representative estimates of experiences related to COVID-19 among office-based physicians in the United States, including: shortages of personal protective equipment (PPE) in the past 3 months; the ability to test for COVID-19 in the past 3 months; providers testing positive for COVID-19 in the past 3 months; turning away COVID-19 patients in the past 3 months; and telemedicine or telehealth technology use before and after March 2020. Estimates were derived from interviews with physicians in periods 3 and 4 of 2020 NAMCS and periods 1 through 4 of 2021 NAMCS, which occurred between December 15, 2020 and May 6, 2022. The data are considered preliminary, and the results may change with the final data release.
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Telemedicine Market was calculated at USD 41,630 Million in 2019 and predicted to grow at 22.4% CAGR during the forecast period.
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ABSTRACT OBJECTIVE Mapping the role of telemedicine in the health access of patients with chronic diseases in continuous care actions (except for covid-19) during the pandemic. METHODS This is a scoping review, with an adapted version of the Prisma-Scr methodology and using the Population (patients with chronic diseases), Concept (telemedicine as a health access tool) and Context (covid-19 pandemic) strategy. We searched through the following databases: PubMed, Scopus, Embase, Web of Science, Lilacs and SciELO, resulting in 18 articles at the end of the review. We used the technological, sociocultural and assistance analysis dimensions. RESULTS Eighty-eight percent of the analyzed papers posited that telemedicine use to provide care increased during the pandemic. We identified that this use was positively related to the reduction of complications and the absence of physical displacement for care, expanding it to rural areas. Important barriers were presented, most importantly the digital exclusion, language sociocultural barriers, and inaccessibility to technological instruments for disabled people. CONCLUSIONS Innovation in care arrangements calls attention to how living labor is important to produce healthcare, using various technologies, and reveals tensions caused by the forces acting on healthcare micro politics. We conclude that, despite important barriers, telemedicine contributed to the care of chronic patients during the covid-19 pandemic.
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This dataset covers five bibliometric data based on telemedicine literature found in Scopus indexed trade journals. We extracted 143 publication metadata from Scopus database based on keyword "Telemedicine" and source restricted to "Trade Journals". This has been done to explore the industry acceptance of telemedicine practices.The extracted data is in the form of a bibtex, excel and Rdataframe format. Aggregated corpus information and Lotka curve tabulation has also been provided.
To rapidly monitor recent changes in the use of telemedicine, the National Center for Health Statistics (NCHS) and the Health Resources and Services Administration’s Maternal and Child Health Bureau (HRSA MCHB) partnered with the Census Bureau on an experimental data system called the Household Pulse Survey. This 20-minute online survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about the impact of the coronavirus pandemic in the U.S. The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of the COVID-19 pandemic on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.