State of AI and Technology Adoption in Healthcare
Insights on the latest digital trends in healthcare pulled from practitioners and consumers all around the USA
Code red: Are practitioners ready for modern healthcare?
An increasingly competitive healthcare environment and consumer's increasing demands for value and speed are driving many healthcare providers to search out new and more effective methods of delivering improved care.
And the solution to all this is often technology, which is why modern healthcare is increasingly dominated by real-time and asynchronous chat, self-service appointment scheduling, video calling, and remote monitoring. The potential of AI in transforming healthcare is also profound, promising to usher in a new age of efficiency, accuracy, and personalized patient care.
Nevertheless, the vast majority of the health, medical, and wellness verticals are behind on technology adoption. This is just one of the statistics we’ve gathered from the survey we conducted on over 700 professionals in the healthcare fields, and approximately 700 patients.
In this research paper, we identify and discuss:
The future of technology-driven healthcare is here, and we're pioneering it with relentless dedication on behalf of all healthcare practitioners and their patients.
Our Core Findings
Insights into patients’ and practitioners’ pulse
94%
88%
80%
60%
53%
40%
Healthcare is lagging behind in technology adoption
The COVID-19 pandemic accelerated technology adoption across every industry, and providers were put under immense pressure that technological tools could have helped ease. The healthcare industry is still lagging well behind the rest of the digital world, according to the McKinsey & Company Digitization Index [i], which ranks healthcare among the least advanced in terms of digitization.
Interestingly, 60% of the healthcare providers in our survey feel that their practice is up to speed with regard to technology. This fraction is relatively conservative, considering 94% of the patients in our survey said they used telehealth services.
So where is the disconnect coming from? Are patients so used to technology that they expect more of it in healthcare? Is this just to be expected from an industry that has always been slow to embrace change? Are there other challenges making it difficult for practitioners to adopt the technology enabled care tools they want?
A preview of the telehealth landscape
Insights into patients’ and practitioners’ pulse
60%
39%
< 10%
Barriers to widespread telehealth implementation
98% of the practitioners in our survey believe that technology is vital to the survival of their practice over the next five years. This means providers are accepting the fact that the digital age is here to stay, and they need to catch up or be left behind forever. The new technology being developed can completely revolutionize how healthcare and well-being are managed now and in the future.
However, adopting the latest and greatest in technology is often easier said than done for the healthcare sector.
A variety of reasons include:
Providers resist using AI in Healthcare
Artificial intelligence (AI) is a key catalyst at the intersection of healthcare and technology. A range of dynamic and adaptive systems are being adopted across the healthcare space, in areas as diverse as clinical decision-making, diagnostics, and treatment, and administration (i.e., predictive schedules, assistive note-taking, and more). The healthcare sector has experienced a massive explosion in digital data over recent years, with AI systems used to understand and leverage this information while executing applications and producing value for the benefit of patients and practitioners.
- These statistics highlight changing attitudes to AI in the healthcare space. While there is resistance among some practitioners at around one-third of the market, there is also tremendous potential for growth.
- This accepting attitude also comes through with patients. While a majority of people haven't experienced AI in a healthcare setting, around half the sample population already trusts AI.
Openness to artificial intelligence in healthcare
53%
32%
<14%
Ideal digital-first practice
Refusal to accept that digital-first practice is the future of healthcare may be caused by the lack of knowledge on the subject of technology and AI. The overwhelming shifts and emergence of promising technology-powered healthcare trends can also be a factor. However, throughout this whitepaper, it's evident how incorporating digital-first practice revolutionizes the way we experience and deliver care.
This section demonstrates our comprehensive analysis of the top use cases of technology and AI and their capacity to unravel the limitless potential of modern healthcare.
Opportunities of adopting technology and AI
This whitepaper illuminates the myriad opportunities that await healthcare practitioners through the adoption of technology and AI in their practice. From streamlining administrative tasks to optimizing diagnostics and treatment plans, embracing these innovations promises to revolutionize patient care and reshape the healthcare landscape. As we stand at the precipice of a new era in healthcare, the integration of technology and AI presents practitioners with an unparalleled chance to elevate their expertise, improve patient outcomes, and enhance the overall healthcare experience.
97%
94%
46%
41%
6%
3%
adopt cutting-edge, secure, and patient-focused technology tools in our daily interactions with patients.
This approach not only breaks down obstacles but also cultivates a dynamic environment in which healthcare providers, such as ourselves, can flourish. Simultaneously, it paves the way for improved and readily accessible care for all individuals.
Get ahead of the game
We’ve conducted a survey on the impact of telehealth and artificial intelligence in the medical world. With responses from over 1,400 practitioners and patients spanning the USA and the United Kingdom, this study delves into their valuable insights – highlighting the contrasts and shared sentiments between practitioners and patients.
Understand the complexities of AI in healthcare, learn practical tips on how to bridge the gap between patient demands and provider sentiments, and address the fears and ethical considerations with data-backed insights.