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The Rise of AI in Remote Patient Monitoring: A 2025 Outlook for Employers and Candidates
- Tarryn Long
- May 13
- 5 min read
As we move into the second quarter of 2025, the healthcare industry is undergoing an unprecedented transformation driven by technological advancements, particularly in the realm of Artificial Intelligence (AI). One area seeing exponential growth is Remote Patient Monitoring (RPM).
The Landscape of Remote Patient Monitoring in 2025
Remote Patient Monitoring (RPM) has been around for a while, but recent advancements in AI have elevated its capabilities. In fact, a report from arXiv notes that AI-powered RPM systems use wearable devices and sensors to continuously track a patient’s health metrics. These systems can gather real-time data, which is then analyzed by AI algorithms to identify early warning signs of deterioration, offering healthcare providers actionable insights to take preemptive measures.
In 2025, the AI-driven RPM market is expected to reach a value of $2.6 billion in the USA alone, growing at an annual rate of 28%. This rapid growth is fueled by the increasing prevalence of chronic diseases such as diabetes, hypertension, and cardiovascular issues, which demand continuous care.
For Employers: Embracing the Future of Healthcare
The rise of AI in RPM presents exciting opportunities for employers in healthcare and tech industries. As RPM systems become more widely adopted, there will be a growing need for skilled professionals who can help build, maintain, and optimize these technologies. Employers will need to focus on hiring talent who possess expertise in AI, data analytics, and healthcare technology integration.
What’s in store for employers?
❍ Talent Scarcity: Companies will be competing for professionals skilled in AI, data science, and healthcare analytics. According to a 2024 survey by Gartner, 61% of healthcare organizations are struggling to find candidates with the right technical skills to meet the demand for AI-driven solutions.
❍ Hybrid Work Environment: With RPM technology allowing for remote monitoring of patients, many healthcare companies will continue to shift toward hybrid and fully remote work environments for technical roles. According to a 2025 study by McKinsey & Co., 70% of tech-based healthcare roles will be remote by the end of 2025.
❍ Compliance and Data Security: As patient data is constantly transmitted and analyzed by AI systems, employers will need professionals skilled in data privacy laws, especially as HIPAA regulations continue to evolve to accommodate AI-powered healthcare solutions. 40% of healthcare leaders cited data security and compliance as major challenges for RPM technologies in a recent Forbes report.
❍ Diverse Skill Sets: Companies will look for individuals who not only have strong technical skills but also an understanding of healthcare systems and patient needs. There will be an increasing demand for interdisciplinary teams that blend AI and clinical knowledge to ensure that AI solutions are not only innovative but also patient-centered.
For Candidates: Capitalizing on the Growth of AI and RPM
For job seekers, particularly those interested in healthtech, the rise of AI in RPM presents a golden opportunity to develop a niche skill set that is in high demand. The technology is transforming not only healthcare delivery but also creating a ripple effect on various job markets across the healthcare and tech industries.
◉ Tip: Develop skills in AI and data analytics to contribute to innovative RPM solutions that enhance patient outcomes and streamline healthcare delivery.
● AI and Machine Learning Expertise: As AI becomes integral to RPM, candidates with skills in machine learning, natural language processing, and predictive analytics will be in high demand. Professionals with a strong foundation in Python, R, or TensorFlow will find themselves sought after by companies integrating AI into their healthcare solutions.
● Data Analytics in Healthcare: With RPM generating massive amounts of health data, employers will need candidates who can sift through this data and derive meaningful insights. Data scientists and healthcare analysts with expertise in handling large datasets, health informatics, and data visualization tools (like Tableau or Power BI) will have a competitive edge.
● Telemedicine and Healthcare IT: As RPM becomes more intertwined with telemedicine, IT professionals with experience in telehealth systems, cloud computing, and cybersecurity will be crucial to maintaining the infrastructure that supports remote monitoring.
● Soft Skills Matter: Beyond technical skills, candidates should also demonstrate an understanding of the patient experience and the ability to communicate effectively with multidisciplinary teams. Healthcare providers want individuals who can not only build and optimize technology but also ensure that it aligns with patient needs and healthcare goals.
● Certifications and Continued Education: As the RPM landscape evolves, candidates can set themselves apart by pursuing certifications in AI, health informatics, or even specialized programs like Remote Patient Monitoring Specialist certifications, which are offered by organizations like the Health Information Management Systems Society (HIMSS).
The Dark Side: Challenges in AI-Powered RPM
While AI’s role in RPM offers numerous benefits, it’s essential to recognize the potential challenges it poses for both employers and candidates in the healthcare industry.
Some of the concerns include:
❍ Data Privacy and Security: The widespread use of AI in RPM increases the amount of personal health data being transmitted and analyzed. If mishandled, this data can be vulnerable to breaches, leading to identity theft and privacy violations. Employers need to stay ahead of compliance regulations, and candidates must be equipped to manage these concerns.
❍ Bias and Inequality: AI algorithms are only as good as the data they are trained on. If the data sets are biased, the AI could provide inaccurate or inequitable care recommendations. This can further widen the healthcare gap among marginalized communities. Companies need professionals who are aware of these biases and work to create equitable AI models.
❍ Job Displacement: As AI-powered systems take over more routine tasks in healthcare, there is concern over job displacement. Healthcare workers who traditionally perform manual tasks, such as monitoring patients in-person, may find their roles diminished. However, this opens up new opportunities for AI specialists and healthcare analysts to step into more strategic, high-value roles.
❍ Adoption Resistance: Both patients and healthcare providers may be hesitant to adopt AI-powered RPM systems, fearing that the technology may replace human doctors or diminish the personal nature of care. Employers will need professionals who can advocate for AI integration while maintaining the compassionate care patients expect.
