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.

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

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.

In February 2025, around ** percent of appointments within the specialty of mental health were conducted through telehealth utilization. This was the specialty with the highest telehealth utilization rate throughout the given period, followed by endocrinology, with a telehealth utilization rate of **** percent in February 2025.

According to a survey carried out among U.S. physicians, ** percent of respondents had not used telehealth prior to the outbreak of the COVID-19 pandemic. During the peak of the pandemic, ** percent of physicians were seeing over ** percent of their patients via telehealth technology. In the future, ** percent forecast they will use telehealth for between ** and ** percent of appointments.

According to a survey carried out in Great Britain in 2021, ** percent of respondents overall agreed that telehealth is more time effective than in-person consultations. Furthermore, ** percent agreed that telehealth provides more accessibility to quality healthcare, however, ** percent indicated an unwillingness to use telehealth services post-COVID-19.

Overview

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.

Background: The onset of the pandemic necessitated abrupt transition to telehealth consultations. Although there is a few tools that gauge the patients' perception about their experiences, none of them are contextualized to an emergency in the Middle East and North Africa region. Accordingly, this study aims at developing and validating a tool to address this gap, and deploying it to assess the patients' perception of telehealth services during COVID-19 in Dubai, United Arab Emirates (UAE).Methods: A convergent mixed methods design was adapted. A random selection of 100 patients from Dubai, UAE were invited to participate. Qualitative and quantitative datasets were collected using a tailor-made survey. The qualitative data, collected through open-ended questions, was analyzed using multi-staged thematic analysis. As for the quantitative data, it captured the patients' extent of satisfaction, and was assessed using SPSS (with a series of descriptive and inferential analyses). The qualitative and quantitative findings were then merged via joint display analysis.Results: Out of the 100 patients that were randomly selected, 94 patients participated in this study. The reliability score of Cronbach's Alpha for the instrument was 98.9%. The percentage of the total average of satisfaction was 80.67%. The Principal Component Analysis showed that 88.1% of the variance can be explained by the instrument (p < 0.001). The qualitative data analysis expanded upon the quantitative findings enabling a better understanding of the patients' perception. Three themes, revolving around the quality of the patient telehealth experiences, surfaced: “Factors that worked to the benefit of the patients,” “Factors that the patients were not in favor of,” and “Opportunities for improvements as perceived by the patients.”Discussion: This study introduced a novel patient satisfaction with telehealth consultation survey contextualized to the COVID-19 times in Dubai, UAE. The participants were quite satisfied with the quality of their experience, however they suggested areas for improvement. Regional healthcare decision-makers can leverage the identified advantages and opportunities for improvement of telehealth. This will enable making informed decisions regarding the continuity of telehealth irrespective of how matters unfold in relation to the pandemic. It will also better prepare the healthcare sector for potential resurgence(s) of COVID-19 and/or the occurrence of other similar emergencies.

The Telehealth market size was valued at USD 83.5 billion in 2022 and will be USD 513.85 billion by 2030 with a CAGR of 25.5% during the forecast period. Market Dynamics of Telehealth Market

Key Drivers for Telehealth Market

Increasing digitizing and government initiatives boost the telehealth market growth:

The telehealth market is expected to expand over the projected time, due to expanding government efforts for remote patient monitoring and healthcare digitization. For instance, the government launched a national telemedicine service or eSanjeevaniOPD achieved 8 core teleconsultation as per 2022 report. The global market is anticipated to develop as a result of increasing government and non-government organization efforts encouraging widespread usage of telehealth and remote patient monitoring services for long term care services. As a result, this component spurs telehealth market expansion.

Increasing expenditure on healthcare boosts the telehealth market growth:

Increasing chronic disease along with growing geriatric population drive up healthcare costs dramatically. Additionally, a significant amount is allocated to those with chronic and mental illness. Furthermore, the situation is the same in every nation. The demand for technology driven systems that can deliver high quality healthcare while also lowering cost has surged as a result of this. Telehealth is quickly implemented in all healthcare facilities because it satisfactorily satisfies objectives. The market will most certainly expand due to above mentioned factors.

The Restraining Factor of Telehealth:

Technology barrier hampers the market growth:

Despite the immense potential of teleconsultation, infrastructure and technological limitations are major impediments to the market growth in developing and under developing countries. Development of digital health platforms necessitates the use of cutting-edge telecommunication equipment, high speed internet with a lot of bandwidth and storage space for storing and transmitting medical data, all of which are still in short supply in many developing nations. A significant market limitation is the high cost of implementing the required system, devices and equipment connected with real time measurement of healthcare data.

Key Trends for Telehealth Market

Integration of Artificial Intelligence (AI) and Remote Patient Monitoring (RPM) in Telehealth Services

A notable trend within the telehealth sector is the incorporation of AI-driven tools alongside remote patient monitoring technologies to improve the quality and efficiency of virtual healthcare. AI algorithms are utilized to aid in diagnostics, predictive analytics, patient triage, and the automation of administrative tasks such as scheduling and documentation. When combined with wearable devices and IoT-enabled health trackers, healthcare providers can monitor patients' vital signs, including heart rate, glucose levels, and blood pressure, in real time. This trend is particularly vital for the management of chronic illnesses and elderly patients who need ongoing supervision. As healthcare systems strive to minimize hospital visits and control costs, AI-integrated RPM presents a proactive and personalized method of healthcare delivery, rendering telehealth more intelligent, accessible, and effective.

Expansion of Hybrid Healthcare Models Combining In-Person and Virtual Care

Another significant trend is the emergence of hybrid healthcare delivery models that merge traditional in-person consultations with telehealth services. Instead of completely replacing face-to-face visits, healthcare providers are embracing a blended approach to enhance patient experience, improve accessibility, and optimize efficiency. Patients may initiate care through a teleconsultation and subsequently transition to in-person visits if necessary. This model fosters better continuity of care, particularly for post-operative follow-ups, mental health counseling, and chronic disease management. The COVID-19 pandemic hastened this transition, and healthcare systems are now developing long-term infrastructure to facilitate hybrid workflows. As insurance reimbursement policies adapt and both patients and healthcare professionals grow more accustomed to virtual care, hybrid models are poised to become a lasting component of contemporary healthcare ecosystems.

Impact of th...

The Medicare Telehealth Trends dataset provides information about people with Medicare who used telehealth services between January 1, 2020 and March 31, 2025. The data were used to generate the Medicare Telehealth Trends Report.

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.

Employment statistics on the Telehealth Services industry in the US

In 2021, ** percent of health insurance providers surveyed in Latin America offered telehealth services across all plans/portfolios to their clients, the highest regional share globally. On the other hand, ** percent of insurers from the Middle East and Africa region mentioned that currently they did not provide telehealth services through their current plans but expected it to be added in 2022.

Market Size statistics on the Telehealth Services industry in the US

Abstract: Introduction: Based on a national ordinance that regulates and operationalizes telemedicine as one of the measures to cope with the public health emergency resulting from the COVID-19 epidemic, a partnership was established between the federal university and municipal management for the rapid implementation of the telehealth service for COVID-19. Experience report: Experience report on the implementation process of the specific telehealth service for COVID-19, a partnership between the academy and the service. Discussion: The implementation process requires team sizing, physical space and technological resources, training and continuous education of the team to align the actions, for the agreement and articulation of the call center and telemonitoring flowchart with the local health network at all levels of care, disclosure of the service to the population, attention to ethical aspects, criteria for issuing documents, standing out and integration of the team regarding the clinical approach in teleconsultation and telemonitoring. Conclusion: The experience of implementing the Telehealth Covid service in 27 days is reported in this article, and it is likely to be replicated by other municipalities, as a contingency measure due to COVID-19. The significant number of visits, the social mission of the public university and its articulation with the local health system stand out after two months of operation.

AimsAutonomy support plays a critical role in safeguarding patients’ fundamental rights and promoting health behaviors. The context of autonomy support is transitioning from traditional face-to-face healthcare settings to telehealth, leading to an evolution in the connotation of autonomy support. This study aimed to clarify the connotation of autonomy support in telehealth and to develop a conceptual framework to guide innovations in clinical practice and the advancement of related theories.MethodsRodgers’ evolutionary method was used to clarified attributes, antecedents, and consequences of autonomy support in telehealth. The integrative review strategy of Whittemore and Knafl was used as the methodology for searching relevant literature.ResultsTwenty-five articles were included. The attributes were identified as: (i) technical feedback; (ii) virtual agent; (iii) choice; (iv) rationale; (v) empathy; (vi) collaboration; and (vii) strengths. The antecedents were: (i) telehealth service system; (ii) change in awareness toward autonomy support; and (iii) patient preference of needs for autonomy. The consequences were: (i) multidimensional perception; (ii) emotional experience; (iii) health behavior; (iv) social relation; and (v) technological dependence.ConclusionThis study clarified the attributes, antecedents, and consequences of autonomy support in telehealth, developing and improving a conceptual framework for autonomy support. These findings will provide a theoretical foundation for developing technology-enabled autonomy support strategies in telehealth practice, better adapting to the emerging needs of patients in the context of the digital age.

This is a summary of aggregated data being the foundation of the research study " Perceptions and attitudes of patients and healthcare workers towards the use of telemedicine in Botswana: A qualitative study."

The United States Telehealth Market Report is Segmented by (Products, and Services), Application (Telemedicine, Patient Monitoring, Continuous Medical Education, and Others), Delivery Mode (On-Premise, Cloud Based), and End-User (Healthcare Facilities, Homecare, Others). The Report Offers Market Size and Forecast for all the Above Segments in Value (USD).

ABSTRACT Objective: to report on the creation and implementation of telehealth activities developed by the Forest Health Program in communities in conservation areas, in the state of Amazonas, during the COVID-19 pandemic. Methods: this is an experience report on the creation and implementation of the program. Results: the project began in June 2021 with medical and nursing services and currently has 63 points of connectivity installed. Dermatology was the most requested specialty (30.1%), with dermatitis being the main grievance diagnosed. For nursing, the most requested specialty was obstetrics, followed by pediatrics. Rio Madeira and the Catuá-Ipixema Extractive Reserve requested more than half of all consultations. Conclusion: this project showed a differentiated performance of telehealth in riverside communities in Amazonas, especially in the pandemic context, expanding health care in remote areas, such as these.