Healthcare industry trends 2026: 10 technology & care-delivery shifts to watch
- 10Pearls Editorial Team
- 14 min read
Summary
Healthcare in 2026 is being shaped by connected care, AI, and the growing shift toward care at home. At the same time, tighter margins and workforce shortages are putting more pressure on healthcare organizations to do more with the resources they have. This blog looks at 10 technology trends, from agentic AI to cybersecurity, and the business challenges driving them. It also highlights where organizations can focus their technology investments and what to consider when planning for 2026.
The healthcare industry is in dire need of change as rising costs, workforce shortages, and growing clinical complexity put pressure on traditional hospital-centered models. Healthcare organizations are being asked to serve more patients, manage increasingly complex conditions, and use limited clinical capacity more effectively. These pressures are forcing difficult questions about how care should be organized, where resources should be focused, and what patients should expect from the healthcare system.
The healthcare industry trends in 2026 point to a healthcare system that is changing how and where care takes place. AI and autonomous agents are finding practical uses in clinical and administrative work, while telehealth and remote monitoring are keeping more care connected outside the hospital. Precision medicine, VR and AR, robotic procedures, and interoperable systems are also becoming part of this shift. At the same time, healthcare organizations are dealing with tighter margins, workforce shortages, changing payer economics, and patients who expect more convenient care.
Why healthcare is changing in 2026
Four forces sit behind many of the changes taking place across healthcare this year.
Financial pressure is forcing operational change.
McKinsey reports that healthcare industry earnings before interest, taxes, depreciation, and amortization (EBITDA) fell from 11.2% of national health expenditures in 2019 to 8.9% in 2024, with a further decline to 8.7% projected for 2027. Providers and payers need technology that improves productivity and care economics. A new dashboard alone will not address the pressure.
The workforce is under strain.
Healthcare leaders are using automation to reduce documentation, revenue-cycle, scheduling, and other administrative work. Deloitte’s 2026 global outlook identifies workforce and productivity challenges as leading strategic concerns, while over 90% of surveyed executives say productivity will be a priority.
More healthcare is being delivered outside the hospital.
A patient recovering from a procedure may use remote monitoring at home, while someone managing a chronic condition may be able to handle parts of their care without visiting a clinic. That changes what providers need to plan for. Follow-up, patient communication, monitoring, and escalation all need to work across settings.
Patients expect a simpler experience.
The standard for healthcare is increasingly shaped by how easy it is to book an appointment, communicate with a provider, find relevant information, and access health records. PwC reports that 51% of surveyed consumers believe the US healthcare system is fundamentally broken. Clinical quality remains central, but the way patients navigate the system has become part of how they experience that quality.
US healthcare at a glance
$5T+
Annual US healthcare spending
National health spending data from CMS and CDC
~8%
Annual medical cost growth
Medical cost trend analysis estimated by PwC
25%
Approximate share of US healthcare spending tied to administrative overhead
PwC cites JAMA research on administrative expenses
90%
Approximate share of spending associated with chronic and mental health conditions
CDC data
Top 10 healthcare technology trends for 2026
Healthcare technology in 2026 is moving from experimental pilots into the core of care delivery. The trends below show how agentic AI, connected devices, precision medicine, immersive tools, robotics, interoperable data, and cybersecurity are changing clinical work and patient care.
The 10 trends at a glance
- Agentic AI in everyday healthcare workflows
- Ambient documentation & administrative automation
- EHRs & clinical intelligence
- Predictive & multimodal AI
- Telehealth and remote monitoring
- Personalized medicine & digital twins
- Outpatient, virtual and home-based care
- Robotics, minimally invasive care & VR/AR
- Interoperability & cloud infrastructure
- Cybersecurity & patient safety
1. Agentic AI in everyday healthcare workflows
Generative AI creates text, summaries, and recommendations. Agentic AI goes further by handling a sequence of tasks within a defined workflow. It can check information, take an action, and move the task to its next step, provided it has permission to do so.
Healthcare is a useful example because many administrative processes already involve several handoffs. Consider a referral. Information may arrive through an inbox, need to be checked against the patient record, and then move through scheduling before someone follows up with the patient. An agent could handle parts of that sequence and flag the case when something falls outside its instructions. The same approach can apply to prior-authorization preparation, record summaries, missing-information checks, patient questions, and follow-up.
That is where the distinction between a useful agent and an uncontrolled one matters. If an agent is handling part of a referral workflow, the organization needs to know what it was allowed to do and where its involvement ended. A missed piece of information or an action taken outside that boundary can affect what happens next.
For healthcare leaders, the question in 2026 is therefore less about whether an agent can produce a good response. It is whether agentic AI development services can deliver agents that handle a defined piece of work consistently, stay within their assigned boundaries, and make the overall process easier to manage.
2. Ambient documentation & administrative automation
Ambient documentation uses AI to listen to a clinical conversation, create a draft note, and return it to the clinician for review. For clinicians, the appeal is straightforward. Less time spent documenting an encounter can leave more time for the patient and reduce the work that follows after the visit.
The same opportunity extends into coding, billing, and other revenue-cycle tasks where much of the work involves processing information across established workflows. These are practical places for healthcare organizations to test where custom AI solutions can take on routine work without putting clinical decisions in the hands of a system.
3. EHRs & clinical intelligence
For years, the EHR has been the place where clinicians document visits, enter orders, and access patient records. That role is expanding as healthcare organizations bring more clinical, operational, financial, and research information into the same environment. The question is increasingly what they can do with that information once it is connected.
This matters for AI because patient information rarely sits in one place. A more connected EHR can give clinicians and care teams the context they need for risk identification, clinical decision support, patient flow, population health, and research trial matching.
4. Predictive & multimodal AI
Predictive AI can help clinicians spot signs that a patient may be heading toward a complication before the problem becomes obvious. It can draw on information already collected during care, while multimodal systems can bring together sources such as clinical notes, medical images, lab results, waveforms, and sensor readings.
Medtronic highlights AI-assisted diagnostic applications that can help clinicians identify conditions or abnormalities earlier. One example is GI Genius, which Medtronic says can reduce missed polyps by up to 50%. That result comes from a specific application, so its relevance depends on the device, clinical setting, and study behind it.
One example is GI Genius, which Medtronic says can reduce missed polyps by up to 50%.
5. Telehealth and remote monitoring
A patient can now stay connected with a care team between scheduled visits through a combination of virtual consultations and connected devices. Telehealth covers video visits, phone calls, messaging, and other remote consultations. Remote patient monitoring adds health data collected at home, such as blood pressure, glucose levels, oxygen saturation, or cardiac readings. These devices are part of the broader Internet of Medical Things (IoMT), which connects medical equipment and sensors with the systems used to collect and process their data.
RPM becomes more useful as software gets better at interpreting the volume of data these devices produce. Clinicians do not need to review every reading manually. Healthcare software solutions can flag meaningful changes and bring them to the attention of the care team. This is particularly useful for chronic disease management and post-discharge care, where a patient’s condition can change between scheduled appointments.
6. Personalized medicine & digital twins
Precision medicine uses a patient’s genomic, clinical, imaging, lifestyle, and outcomes data to inform prevention and treatment. Digital twins take a different approach by creating a computational model of a person, organ, or clinical situation that can be used to explore possible scenarios before a decision is made.
A full digital copy of a person is still a future goal in clinical care. More focused models are being explored for specific clinical questions, such as planning a procedure, modeling risk, or assessing how a treatment may affect an individual patient. These applications are much narrower than the idea of creating a complete digital version of a person, but they show where the technology can have practical value today.
7. Outpatient, virtual and home-based care
More care is taking place outside the traditional hospital setting. Ambulatory surgery, urgent care, home health, hospice, and virtual care are taking on a larger role as healthcare organizations deal with limited capacity, workforce constraints, and patients who prefer care closer to home.
For a patient recovering after a procedure, that may mean going home with remote monitoring and scheduled virtual follow-ups. Someone receiving rehabilitation may also spend less time in a hospital or clinic. These changes give providers more options for where care takes place and how often patients need to return to a facility.
8. Robotics, minimally invasive care & VR/AR
Robotic-assisted surgery is being used for a wider range of procedures, alongside minimally invasive techniques that allow surgeons to operate through smaller incisions. In the right cases, this can mean less disruption to the body and a shorter recovery. The results still vary by procedure, patient, surgical team, and technology.
VR is being used in areas such as pain management and rehabilitation. AR has applications inside the operating room, where clinicians can view anatomical images or other information during a procedure. For patients, AR/VR services can also make rehabilitation exercises more interactive and easier to follow.
9. Interoperability & cloud infrastructure
Healthcare data is spread across EHRs, medical devices, laboratories, pharmacies, and other systems. Interoperability makes it possible to share that information across those systems, while cloud infrastructure gives organizations the computing and storage needed to work with larger volumes of data. Together, they can support a more complete view of the patient and give AI systems more context to work with.
The practical question is whether that information reaches the people and systems that need it. A patient moving between a hospital, specialist, and home-based care team may have information recorded in several places. When those systems can exchange relevant data, clinicians have more of the patient’s history available when making decisions.
10. Cybersecurity & patient safety
Healthcare relies on connected systems, medical devices, cloud platforms, and remote access, creating additional points that need to be protected. A cyberattack can disrupt normal operations and affect patient care, including treatment delays or problems with connected devices.
When a hospital loses access to its systems, staff may have to work without electronic records or connected equipment. That can slow down care and put pressure on clinical teams. AI tools bring another concern because staff may come to depend on them for routine clinical and administrative tasks. Their security and privacy need to be considered before those tools are widely used.
The business trends behind healthcare technology in 2026
Healthcare cost pressures in the US
Healthcare costs remain a concern for providers. Prices for hospital and related healthcare services were up 7.6% from a year earlier in February 2026, according to the Bureau of Labor Statistics. With costs rising, providers have less room for technology projects that cannot show a clear financial benefit.
For AI, the focus is likely to be on areas where the financial effect can be tracked. Practical places to look include reducing administrative work, using existing capacity better, improving revenue-cycle performance, and avoiding unnecessary costs. An AI investment needs a measurable business case, especially when budgets are under pressure.
Workforce shortages are driving workflow redesign
Healthcare organizations are using technology to help clinicians work at the top of their licenses. Automation can remove repetitive work, but it can also change roles and introduce new risks. Training, clinical participation, and transparent performance monitoring are necessary to check whether technology improves the employee experience while keeping workload under review.
The WHO projects a global nursing shortage of 4.1 million by 2030. Workforce pressure remains a significant issue for health systems, particularly as demand for care grows. New technology will therefore need to fit into existing teams and workflows rather than simply add another tool for staff to manage.
Digital convenience is changing patient expectations
Patients are more accustomed to using digital services for everyday tasks, and they bring those expectations into healthcare. Booking an appointment, receiving updates, and viewing records should not require repeated calls or visits to different parts of an organization.
Privacy and patient safety still come first. Healthcare organizations can improve the experience by removing unnecessary steps and making it easier for patients to get the information they need.
Payers & providers are adapting to policy & risk changes
The 2026 healthcare market is facing changes in coverage and reimbursement. CMS reported that 23.1 million people selected or were automatically re-enrolled in Affordable Care Act Marketplace plans for 2026. Changes in coverage can affect both insurers and providers. These pressures are likely to increase interest in value-based care, risk stratification, care management, and more efficient back-office operations.
The impact will vary by market. Healthcare leaders need to watch policy changes and consider how they could affect patients, staffing, revenue, and demand.
7.6%
Prices for hospital and related healthcare services were up from a year earlier in February 2026
4.1 million
Projected global nursing shortage by 2030
23.1 million
People selected or were automatically re-enrolled in Affordable Care Act Marketplace plans for 2026
What healthcare leaders should prioritize in 2026
A practical 2026 roadmap has five priorities.
1. Start with a measurable problem.
Choose a workflow with a clear baseline, such as documentation time, referral leakage, length of stay, prior-authorization delays, or readmissions.
2. Build the data and governance foundation.
Define who owns the data, who can access it, how models are evaluated, and when a human must intervene.
3. Pilot inside the real workflow.
A technically successful demonstration may not be clinically useful. Include frontline staff and patients in testing.
4. Measure safety and equity alongside efficiency.
Track error rates, bias, access, clinician workload, patient experience, and outcomes, alongside cost savings.
5. Expand only what earns clinical and operational trust.
Reusable infrastructure, training, monitoring, and change management outweigh a long list of disconnected pilots.
Where the healthcare industry is headed
The defining healthcare industry trends of 2026 point to a structural shift in how healthcare organizations deliver care, use data, and operate their businesses. AI is becoming part of everyday workflows, care is expanding beyond hospital settings, and connected systems are giving clinicians and organizations more information to work with.
Making these changes work in practice requires more than adopting individual technologies. Healthcare organizations need data, cloud infrastructure, interoperability, security, and digital engineering capabilities to connect them to real workflows and patient needs. 10Pearls brings these capabilities together to help healthcare organizations move from AI strategy and data foundations to production-ready digital solutions.
Ready to put AI and digital engineering to work across your healthcare organization?
Talk to 10Pearls about your next initiative.
FAQs about healthcare industry trends 2026
What is the biggest healthcare trend in 2026?
A major healthcare shift in 2026 is the move from isolated AI pilots to AI built into everyday workflows. Ambient documentation and administrative automation are gaining traction, while agentic AI and predictive systems are moving into more complex clinical and operational use cases.
How is AI changing healthcare in 2026?
AI is becoming part of routine healthcare work. Teams are using it to summarize records, draft notes, flag possible risks, and support clinical decisions. Connected devices are also producing more patient data. Doctors and other clinicians still make the final decisions about diagnosis and treatment.
What are the top healthcare technology trends for 2026?
Healthcare technology in 2026 is being shaped by agentic AI, ambient documentation, predictive and multimodal AI, intelligent EHRs, telehealth, remote patient monitoring, IoMT, precision medicine, digital twins, VR and AR, robotic surgery, interoperability, cloud infrastructure, and cybersecurity services.
Will AI replace healthcare workers?
AI is likely to take on more routine admin and information-processing healthcare tasks, such as writing notes, scheduling, and reviewing basic information. Some jobs will change as a result. However, doctors, nurses, and other healthcare workers will retain responsibility for care delivery, clinical judgment, patient relationships, and decisions requiring professional accountability.
Why is interoperability important in healthcare?
Patient information is spread across EHRs, providers, devices, and care settings. Interoperability makes it easier to share that information with the right people. This can help avoid repeated tests, give clinicians a fuller picture of the patient, and provide better data for AI tools.
What is the future of healthcare delivery?
More healthcare will take place outside traditional hospital settings as virtual visits, remote monitoring, connected devices, and home-based care become more common. This does not make hospitals less important. Instead, their role will likely center more on complex cases, acute care, procedures, and patients who need closer supervision.
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