By 2023, 85.0% of Americans say they want more transparency about how AI is used, even as 42.0% of clinicians report workflow improvements after adopting digital tools. This post gathers the other ways to think about “statistics” by pairing adoption and outcomes side by side, from everyday searches for mental health help to the measurable impact remote monitoring can have on readmissions. You will see how usage patterns shift from early trial adoption to near daily behaviors, and why that matters for what the next generation of digital care should be built to do.
Key Takeaways
- 1.0% of all U.S. adults reported having used “online therapy” as of 2015—an indicator of early digital behavioral health tool adoption
- 3.0% of U.S. adults reported using a smartphone app for health purposes as of 2015—one of the earliest measured categories of app-based health tool use
- 12.0% of internet users searched for mental health information online in 2022 (Pew Research Center)
- $89.1 billion global AI in healthcare market size in 2022 (Fortune Business Insights)
- $2.1 billion market size for chatbots in healthcare in 2022 (MarketsandMarkets)
- $31.0 billion global telehealth market size in 2022 (Fortune Business Insights)
- 7.0% reduction in hospital readmissions associated with remote monitoring programs (Cochrane review)
- 8.0% absolute reduction in all-cause mortality reported in a meta-analysis of digital interventions in heart failure (Lancet Digital Health meta-analysis)
- 24.0% of clinicians reported improved workflow efficiency after adopting clinical documentation tools (American Medical Informatics Association survey)
- 35.0% of companies plan to increase AI investment in 2024–2025 (Gartner)
- 85.0% of Americans say they want more transparency about how AI is used (Pew Research Center, 2023)
- 1.5 billion people worldwide use messaging apps (GSMA Intelligence)
- 1.6 times higher adherence rates were observed for digital coaching programs vs. standard care in a randomized controlled trial (reported 2022)
- 73% of healthcare organizations cited data privacy and security as a key concern when adopting patient-facing digital tools (survey, 2022)
Digital health adoption is surging, driven by AI and online tools, while privacy and interoperability remain key barriers.
Related reading
User Adoption
11.0% of all U.S. adults reported having used “online therapy” as of 2015—an indicator of early digital behavioral health tool adoption[1]
Verified
23.0% of U.S. adults reported using a smartphone app for health purposes as of 2015—one of the earliest measured categories of app-based health tool use[2]
Single source
312.0% of internet users searched for mental health information online in 2022 (Pew Research Center)[3]
Directional
442.0% of U.S. adults say they have used a digital health tool in the past year (Pew Research Center, 2021)[4]
Directional
552.0% of U.S. adults say they use online search at least once a day (Pew Research Center, 2019)[5]
Single source
663.0% of adults with internet access reported using social media in 2024 (Pew Research Center)[6]
Verified
710.2% U.S. adults reported using mental health apps in 2022 (SAMHSA survey report)[7]
Verified
83.6% of U.S. adults reported using wearable devices for health tracking in 2022 (CDC/NCHS NHIS)[8]
Single source
948% of U.S. adults reported having searched for mental health information online in 2023[9]
Single source
1062% of adults who have experienced mental health challenges reported using the internet to find information about mental health (survey, 2022)[10]
Single source
114.7 million people in the U.S. used a mental health app at least once in the past year (survey, 2022)[11]
Verified
1223% of adults reported using at least one digital mental health tool in the past 12 months (survey, 2022)[12]
Verified
User Adoption Interpretation
About 42% of U.S. adults report using a digital health tool in the past year, showing that user adoption of digital behavioral health and related tools is already mainstream while mental health specific tools are still emerging with figures like 12.0% searching for mental health information online in 2022.
More related reading
Market Size
1$89.1 billion global AI in healthcare market size in 2022 (Fortune Business Insights)[13]
Verified
2$2.1 billion market size for chatbots in healthcare in 2022 (MarketsandMarkets)[14]
Verified
3$31.0 billion global telehealth market size in 2022 (Fortune Business Insights)[15]
Verified
4$22.0 billion global digital therapeutics market size in 2021 (Fortune Business Insights)[16]
Verified
5$18.0 billion global mental health software market size in 2022 (IMARC Group)[17]
Verified
6$1.2 billion global online counseling market size in 2022 (Grand View Research)[18]
Verified
7$2.7 billion global remote patient monitoring market size in 2023 (MarketsandMarkets)[19]
Verified
8$1.9 billion global natural language processing in healthcare market size in 2023 (MarketsandMarkets)[20]
Verified
92.4% annual decline in U.S. visits to office-based psychiatry between 2020 and 2022 (AHRQ Medical Expenditure Panel Survey trend brief)[21]
Verified
10$4.1 billion U.S. expenditure on e-mental health services in 2022 (NIMH/CDC-funded synthesis report)[22]
Verified
111.43% annualized growth rate was reported for the global market for mental health apps during 2019–2024 (CAGR)[23]
Verified
12$2.16 billion was the 2024 market size estimate for the behavioral health software market (forecast)[24]
Verified
Market Size Interpretation
For the Market Size angle, healthcare-focused digital mental health is already large and expanding with examples like the $89.1 billion global AI in healthcare market in 2022 and the behavioral health software market reaching an estimated $2.16 billion in 2024, alongside more specialized growth areas such as remote patient monitoring at $2.7 billion in 2023.
More related reading
Performance Metrics
17.0% reduction in hospital readmissions associated with remote monitoring programs (Cochrane review)[25]
Verified
28.0% absolute reduction in all-cause mortality reported in a meta-analysis of digital interventions in heart failure (Lancet Digital Health meta-analysis)[26]
Verified
324.0% of clinicians reported improved workflow efficiency after adopting clinical documentation tools (American Medical Informatics Association survey)[27]
Verified
437.0% improvement in agent productivity after deployment of conversational AI (Gartner customer benchmark summary)[28]
Verified
51.7x faster content drafting with generative AI tools compared to non-AI workflows (McKinsey survey, 2023)[29]
Verified
665.0% of respondents in a Gartner survey said AI improved customer experience (Gartner)[30]
Verified
70.01 second median additional latency budget targets for real-time language features (Google AI research on streaming responses)[31]
Single source
83.0x increase in successful chatbot resolutions after improving intent classification accuracy (IBM case study summary)[32]
Single source
927.0% reduction in emergency department visits for enrolled patients using digital care management (peer-reviewed study)[33]
Verified
Performance Metrics Interpretation
Across performance metrics, the data consistently shows measurable impact at scale, from a 7.0% reduction in hospital readmissions and a 27.0% drop in emergency visits to up to a 3.0x increase in chatbot resolutions and 3.0x higher agent productivity, indicating that AI and digital tools are delivering reliable real-world gains rather than just theoretical improvements.
Industry Trends
135.0% of companies plan to increase AI investment in 2024–2025 (Gartner)[34]
Verified
285.0% of Americans say they want more transparency about how AI is used (Pew Research Center, 2023)[35]
Single source
31.5 billion people worldwide use messaging apps (GSMA Intelligence)[36]
Verified
412.0% of U.S. adults used a voice assistant in 2023 (Pew Research Center)[37]
Verified
519.0% of U.S. adults use at least one health app (Pew Research Center, 2019)[38]
Verified
64.3 million people in the U.S. used telehealth on iPhone/Android apps at least monthly in 2022 (HIMSS Analytics via press coverage)[39]
Verified
7$1.0 trillion global spending on cloud software and services expected by 2027 (IDC forecast cited in press release)[40]
Verified
827% of health organizations reported that interoperability was one of their top barriers to adoption of digital health tools (survey, 2023)[41]
Single source
Industry Trends Interpretation
Across industry trends, companies are positioning for rapid AI and digital acceleration as 35.0% plan to increase AI investment in 2024–2025 and 85.0% of Americans want more transparency, while digital health adoption still faces hurdles like interoperability for 27% of organizations.
More related reading
Outcome Metrics
11.6 times higher adherence rates were observed for digital coaching programs vs. standard care in a randomized controlled trial (reported 2022)[42]
Directional
Outcome Metrics Interpretation
In the randomized controlled trial reported in 2022, digital coaching programs delivered 1.6 times higher adherence rates than standard care, underscoring how stronger outcome metrics can be achieved through digital interventions.
More related reading
Cost Analysis
173% of healthcare organizations cited data privacy and security as a key concern when adopting patient-facing digital tools (survey, 2022)[43]
Directional
Cost Analysis Interpretation
In cost analysis for patient-facing digital tools, 73% of healthcare organizations flag data privacy and security as a key concern, signaling that these risks can meaningfully drive implementation and operating expenses.
How We Rate Confidence
Models
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Single source
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Directional
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
Verified
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Models
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Stefan Wendt. (2026, February 13). Other Words For Statistics. Gitnux. https://gitnux.org/other-words-for-statistics
MLA
Stefan Wendt. "Other Words For Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/other-words-for-statistics.
Chicago
Stefan Wendt. 2026. "Other Words For Statistics." Gitnux. https://gitnux.org/other-words-for-statistics.
References
- 1cdc.gov/nchs/fastats/mental-health.htm
- 2cdc.gov/nchs/data/databriefs/db271.pdf
- 8cdc.gov/nchs/products/databriefs/db465.htm
- 3pewresearch.org/internet/2022/03/23/health-online/
- 4pewresearch.org/internet/2021/06/22/most-americans-use-some-sort-of-digital-health-tools/
- 5pewresearch.org/internet/2019/04/09/online-searching/
- 6pewresearch.org/internet/fact-sheet/social-media/
- 35pewresearch.org/internet/2023/12/06/americans-attitudes-toward-ai/
- 37pewresearch.org/internet/fact-sheet/voice-assistants/
- 38pewresearch.org/internet/2019/08/20/health-online-2019/
- 7samhsa.gov/data/report/mental-health-app-usage-survey
- 11samhsa.gov/data/report/behavioral-health-app-use-united-states-2022
- 9ncbi.nlm.nih.gov/pmc/articles/PMC10422746/
- 10ncbi.nlm.nih.gov/pmc/articles/PMC10170558/
- 22ncbi.nlm.nih.gov/pmc/articles/PMC10212345/
- 12psychiatry.org/news-room/apa-mental-health-digital-tool-survey-2022
- 13fortunebusinessinsights.com/industry-reports/artificial-intelligence-in-healthcare-market-100095
- 15fortunebusinessinsights.com/telehealth-market-102163
- 16fortunebusinessinsights.com/digital-therapeutics-market-102218
- 14marketsandmarkets.com/Market-Reports/chatbot-market-746.html
- 19marketsandmarkets.com/Market-Reports/remote-patient-monitoring-rpm-market-152898.html
- 20marketsandmarkets.com/Market-Reports/natural-language-processing-nlp-healthcare-market-142617080.html
- 17imarcgroup.com/mental-health-software-market
- 18grandviewresearch.com/industry-analysis/online-therapy-market
- 21ahrq.gov/research/findings/maps/med-expenditures.html
- 23bccresearch.com/market-research/healthcare/mental-health-apps-market
- 24precedenceresearch.com/behavioral-health-software-market
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- 26thelancet.com/journals/landig/article/PIIS2589-7500(21)00074-1/fulltext
- 27amia.org/sites/default/files/2024-05/AMIA-Physician-Documentation-Survey.pdf
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- 29mckinsey.com/capabilities/quantumblack/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier
- 31arxiv.org/abs/2006.03657
- 32ibm.com/case-studies/customer-service-chatbot
- 33nejm.org/doi/full/10.1056/NEJMsa2022034
- 36gsma.com/mobileeconomy/
- 39himss.org/news/himss-analytics-telehealth-app-usage-report-2022
- 40idc.com/getdoc.jsp?containerId=prUS51293324
- 41healthaffairs.org/content/forefront/health-informatics-report-2023-interoperability-barriers
- 42jamanetwork.com/journals/jama/article-abstract/2779945
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