10 Healthcare Technology Trends for 2027, and the Data Behind Each
Andrew BurakCEO and Founder at Relevant SoftwareMedicare paid providers $536 million for remote patient monitoring in 2024. 5 years earlier, the figure was $15 million. This jump came from billing codes, home devices patients already owned, and care teams that learned to act on the readings.
The same pattern defines the healthcare technology trends heading into 2027. Tech scales when payers reimburse it, EHRs support them, or regulations require them. Others remain in pilot programs, regardless of how large their projected markets appear.
Below are 10 healthcare technology trends for 2027, from ambient AI documentation to hospital-at-home programs. For each, we show what is changing, the data that proves it, and what it means for the organization paying for it. Drawing on more than a decade of healthcare software development, we focus on what works in production.
TL;DR
- Clinical AI adoption has accelerated: 81% of U.S. physicians used AI professionally in 2026, up from 38% in 2023. Documentation was the leading use case (AMA, 2026).
- Prior authorization is the next major AI target: 93% of health plan executives expect automation to add value, while Medicare began testing AI-assisted reviews in six states in January 2026 (Deloitte, 2026).
- Telehealth is increasingly focused on behavioral health: Mental health conditions accounted for 52.1% of telehealth diagnoses in Q1 2026 (FAIR Health, 2026).
- Hospital-at-home programs have more time to scale: Congress extended the Medicare waiver through September 30, 2030, in February 2026.
- Healthcare breaches remain costly and slow to resolve: The average breach cost $6.64 million in 2025 and took 247 days to identify and contain (IBM, 2025).
- Emerging technologies still lack clinical evidence: Digital twins, bioprinting, and bioconvergence have large market forecasts but limited clinical records, keeping them on the 2027 watch list.
Healthcare technology trends for 2027 at a glance
The trends below are at different stages of adoption. Some already have dedicated budgets, others are scaling while returns are still being measured, and a few remain driven mainly by forecasts.
| Trend | The number that defines it | Stage going into 2027 |
|---|---|---|
| Ambient AI documentation | 31.5% of US hospitals had generative AI in the EHR in 2024; about 20% of providers finished a full ambient rollout | Scaling, ROI unproven |
| Agentic AI in prior authorization and revenue cycle | 93% of health plan executives expect AI to automate prior auth; CMS WISeR pilot live in 6 states | Early production, under political scrutiny |
| Consumer health AI | 32% of US adults used an AI chatbot for health information in the past year, double the year before | Patient-led, ahead of providers |
| Predictive analytics and AI governance | 71% of US hospitals used predictive AI in 2024; 74% test those models for bias | Standard in large systems |
| Hybrid care and telehealth | 52.1% of telehealth diagnoses were mental health in Q1 2026; Medicare flexibilities end December 31, 2027 | Settled in behavioral health |
| RPM and hospital at home | $536M in Medicare RPM payments in 2024; hospital-at-home waiver extended to 2030 | Reimbursed, under audit |
| Interoperability | 99%+ of hospitals run a certified EHR; 43% do all four exchange functions routinely | Adoption done, exchange unfinished |
| Cybersecurity | 789 breaches covering about 138.5M people reported for 2025 | Permanent operating cost |
| Precision medicine | About 36% of new molecular entities FDA-approved in 2025 were personalized medicines | Standard in oncology |
| Surgical robotics and AR/VR | 3.15M da Vinci procedures in 2025, up 18% | Deployed ahead of the evidence |
10 healthcare technology trends for 2027
The following trends show how healthcare organizations are applying AI, connected care, automation, and new delivery models in practice. Each section examines the evidence behind adoption, the operational impact, and what healthcare decision-makers should watch in 2027.
1. Ambient AI documentation moves from pilot to standard
Ambient AI listens during a clinical visit, drafts the documentation, and sends it to the clinician for review and approval. In 2027, the main question is no longer whether the technology works, but whether the time it saves justifies the cost.
Adoption is already widespread. In 2024, 31.5% of U.S. hospitals had integrated generative AI into their EHRs, while another 24.7% planned to adopt it within a year. AI use among physicians reached 81%, up from 38% in 2023. Discharge instructions and care plans lead the use cases at 30%, followed by visit documentation at 28%.
However, deployment is moving faster than the evidence:
- About 20% of provider organizations have completed a full ambient AI rollout, while roughly 40% remain in the pilot stage.
- Clinician adoption ranges from 20% to 50% in organizations where the tools are available.
- A meta-analysis of 23 studies found a pooled standardized mean difference of -0.71 for documentation burden.
What changes in 2027: Buyers will shift spending from licenses and pilots toward measurable results. They will ask vendors to show minutes saved per encounter, adoption rates, clinician retention, and total operating costs rather than relying on satisfaction surveys.
Consent will also receive more attention. New state laws, including Texas TRAIGA, effective January 2026, require providers to inform patients when AI is involved in their care.
2. Agentic AI takes on prior authorization and the revenue cycle
The most important AI trend for 2027 is outside the exam room. AI agents can gather clinical evidence, complete payer forms, and track requests across prior authorization, coding, and claims workflows.
Regulatory deadlines are accelerating investment. Since January 1, 2026, Medicare Advantage, Medicaid, and ACA plans must decide standard prior authorization requests within 7 days and urgent requests within 72 hours. Starting March 31, 2026, plans must also publish their turnaround times and denial rates.
Payers and providers are moving at different speeds:
- 93% of health plan executives expect AI to create value through prior authorization automation (Deloitte, 2026).
- 86% of payers consider prior authorization and utilization management modernization a high or very high priority (Black Book, 2026).
- Only 16% of provider administrators and 24% of clinicians submit more than 40% of requests digitally. About one-quarter of providers still rely on fax or phone for prior authorization requests (Cohere Health, 2025).
CMS is also testing AI-assisted review. The WISeR model runs from 2026 through 2031 in 6 states and covers selected Medicare Part B services. Criticism from physician groups and members of Congress shows that transparency, human oversight, and accountability will remain central concerns.
What changes in 2027: AI agents on the provider side will increasingly interact with automated payer systems. Effective implementations will submit complete, evidence-linked requests through FHIR-based APIs while keeping humans responsible for adverse coverage decisions.
3. Patients bring their own AI to the visit
Patients adopted healthcare AI before most providers made it available. In the past year, 32% of U.S. adults used an AI chatbot for health information, up from 16% the previous year. General-purpose assistants accounted for most of that use, with 23% of adults using one compared with 5% using a tool provided by their healthcare organization.
Convenience appears to drive adoption more than confidence in accuracy. While 48% of adults describe chatbot health information as highly convenient, only 18% consider it highly accurate. By comparison, 65% trust information from their physician.
Clinical performance also remains inconsistent. Across 30 studies covering 4,762 cases, large language model diagnostic accuracy ranged from 25% to 97.8% and remained below clinician performance.
Patients also expect transparency. 72% of adults say it matters that healthcare providers disclose when AI is being used.
What changes in 2027: Health systems will bring more AI conversations into provider-controlled platforms. These assistants will need to identify themselves as AI, document interactions in the patient record, and route clinical questions to qualified staff. The goal is to keep health-related conversations within the organization responsible for the patient’s care, with relevant interactions documented in the EHR and patient communication managed through a CRM for healthcare providers.
4. Predictive analytics comes with governance attached
Predictive AI is already common in large U.S. hospitals. In 2024, 71% of hospitals used predictive models, up from 66% the previous year.
Adoption varies sharply by organization size and structure. Predictive AI was used by 96% of hospitals with at least 400 beds, compared with 59% of hospitals with fewer than 100 beds. Adoption reached 86% among system-affiliated hospitals but only 37% among independent facilities.
Most hospitals obtain predictive models from several sources. Eighty percent use models supplied by their EHR vendor, while 52% also purchase third-party tools and 50% develop models internally.
Oversight hasn’t kept pace with adoption. Although 82% of hospitals evaluate model accuracy, only 74% test for bias. This means roughly one in four adopting hospitals may operate predictive models without checking them for systematic differences across patient groups.
What changes in 2027: AI governance will become part of procurement. Model inventories, bias testing, performance thresholds, and post-deployment monitoring will move from recommended practices to contract requirements, driven by state laws and payer scrutiny.
Independent hospitals will face the greatest resource constraints. They must either rely on the models included with their EHRs or invest in the data and analytics capabilities needed to validate those tools independently.
5. Hybrid care settles into behavioral health
Telehealth has become primarily a behavioral health channel rather than a general replacement for in-person care. Mental health conditions accounted for 52.1% of telehealth diagnoses in Q1 2026, making them the leading category across every U.S. region and age group.
Use also varies widely by specialty. Among psychiatrists, 68.2% conduct more than one-fifth of visits remotely, compared with 1.8% of ophthalmologists.
Overall telehealth use is declining from its pandemic peak. In traditional Medicare, 25% of beneficiaries used telehealth in 2024, down from 48% in 2020. The share of office-based physicians using telehealth fell from 86.5% in 2021 to 80% in 2024, with the largest decline outside metropolitan areas.
What changes in 2027: Policy deadlines will shape investment. Medicare’s temporary telehealth flexibilities continue through December 31, 2027, while behavioral telehealth has permanent statutory support. Any non-behavioral virtual care program launched now needs a plan for 2028 in case Congress doesn’t extend the temporary rules.
6. Remote monitoring grows into hospital at home
Remote patient monitoring provides one of the clearest examples of reimbursement driving healthcare technology adoption. Medicare payments increased from $15 million in 2019 to $536 million in 2024. That year, 4,639 practices billed monitoring services to nearly one million enrollees.
Monitoring periods also became longer. The average episode increased from 1.7 months in 2019 to 5.2 months in 2023.
Billing rules became more flexible in January 2026. New codes cover between 2 and 15 days of data and 10 to 19 minutes of monthly management. The previous minimums were 16 days of data and 20 minutes of management. Many patients also have compatible hardware, with 57% of U.S. adults owning a connected health device.
Acute care at home is the next stage. In February 2026, Congress extended the Medicare Acute Hospital Care at Home waiver through September 30, 2030, following several short-term renewals and a 43-day lapse. By then, 366 programs across 139 health systems in 37 states had received approval.
What changes in 2027: The longer waiver period turns hospital-at-home expansion from a short-term pilot decision into a capital planning decision. As the Office of Inspector General reviews RPM claims, software requirements will expand to include continuous device feeds, configurable alert thresholds, in-home staff coordination, and detailed billing records.
7. Interoperability shifts from sending records to using them
EHR adoption is largely complete. More than 99% of U.S. hospitals and 91% of office-based physicians use certified EHR systems. Routine data exchange remains less consistent.
70% of hospitals participate in all four exchange functions, but only 43% use all of them routinely. Sending records is relatively common, with 84% of hospitals able to do it. The harder step is retrieving an outside record and incorporating it into the local patient chart.
Standards and national exchange networks are narrowing the gap. In 2024, 71% of hospitals used FHIR-based APIs for patient access. By June 2026, more than 1 billion records had moved through TEFCA, up from 10 million a year earlier.
Information-blocking enforcement adds further pressure. Since April 2021, organizations have filed 2,450 claims involving possible information-blocking violations.
What changes in 2027: The CMS prior authorization rule requires payer APIs for prior authorization and data exchange starting in January 2027. FHIR will move beyond patient access and become part of revenue-cycle infrastructure, directly connecting interoperability with the prior authorization automation described in trend two.
8. Cybersecurity becomes a line item
Healthcare organizations reported 789 breaches affecting at least 500 records in 2025. Together, those incidents exposed information belonging to about 138.5 million people.
The average breach affected 86,699 people, while the median was 4,011. This wide gap shows that a small number of very large incidents accounted for much of the total exposure.
The main entry points are well established. Hacking and IT incidents caused about 73% of healthcare breaches in 2025. Network servers accounted for 61.5% of exposed records, while email systems accounted for 24.9%.
Healthcare also remained the most expensive sector for breaches for the 13th consecutive year. The average incident cost $6.64 million and took 247 days to identify and contain.
Some defensive measures are showing results. Attackers successfully encrypted data in 34% of healthcare ransomware incidents, down from 74%.
What changes in 2027: The HIPAA Security Rule overhaul has been delayed until July 2027. Organizations that wait for the final rule may spend much of the year catching up on network segmentation, email security, access controls, and recovery plans designed for successful encryption attacks.
9. Precision medicine becomes a software problem
Personalized medicine now accounts for more than one-third of new FDA drug approvals. In 2025, 16 newly approved molecular entities were personalized medicines, representing about 36% of the total. This was the sixth consecutive year the share exceeded one-third. Biomarker testing in non-small cell lung cancer reached about 95% by December 2024.
The main bottleneck is interpretation. A sequencing result has limited clinical value until it is matched against variant databases, filtered for actionable findings, and delivered to an oncologist with supporting evidence.
What changes in 2027: Precision medicine will expand beyond oncology into cardiology and pharmacogenomics. Laboratories that automate variant interpretation will process more cases without adding interpretation staff at the same rate.
10. Surgical robotics and AR scale ahead of the evidence
Robotic surgery continues to expand. Surgeons performed about 3.15 million da Vinci procedures in 2025, an increase of 18% from 2024, driven largely by U.S. general surgery. Intuitive projects procedure growth of 13% to 15% in 2026.
Clinical evidence remains mixed. A 2026 meta-analysis covering 38 studies and more than 412,000 cholecystectomy patients found:
| Measure | Robotic | Laparoscopic |
|---|---|---|
| Bile duct injury rate | 0.72% | 0.23% |
| Cost per case | $5,000 to $6,000 | $2,000 to $3,000 |
| Conversion to open surgery | Lower (OR 0.44) | Baseline |
The authors concluded that laparoscopy should remain the standard approach for most cholecystectomy patients.
AR and VR are following a similar path within a narrower set of clinical uses. By June 2026, the FDA had authorized 113 AR and VR medical devices, about 90% of which supported navigation and imaging.
What changes in 2027: Robotic surgery programs will be judged by case selection and reported outcomes rather than procedure volume alone. Both depend on scheduling, instrument tracking, and the data pipelines around the surgical console.
Why providers and patients adopt at different speeds
Clinicians use the AI tools their organizations purchase and their EHRs support. Patients use the tools already available on their phones. This difference helps explain why consumer health AI use doubled within a year while enterprise deployments continue to move slowly.
Among health systems, 33% have deployed AI at enterprise scale, 49% remain in the experimental stage, and 18% haven’t started. Only 30% of completed proofs of concept reach production, while more than half of healthcare leaders identify security as the main barrier.
Among patients who use AI for health purposes, 64% do so at least once a week. At the same time, 53% say they have little or no influence over whether AI is used in their care.
| Providers | Patients | |
|---|---|---|
| Pace | Budget cycles, slow | Months, fast |
| What unlocks it | Budget approval, EHR integration, security review | Hardware they already own |
| What holds it back | Integration cost, unproven return | Doubts about accuracy |
| Where trust comes from | Validation evidence, clear liability | Having tried the tool once |
Emerging healthcare technology trends to watch, but not fund yet
3 emerging trends have market forecasts that extend far beyond their current clinical evidence. They belong on a 2027 watch list, but most organizations will need stronger proof before making large investments.
- Bioprinting. More than 3,000 studies have been published since 2007, but only 11 clinical or observational trials are registered worldwide. None has progressed beyond phase 2.
- Digital twins. A review of 149 published human studies found that only 18 met the full definition of a digital twin: a model that updates with new patient data and supports a clinical decision.
- Bioconvergence. Market forecasts value bioconvergence in the hundreds of billions of dollars. However, no regulator or clinical registry tracks it as a distinct field because the term covers a wide range of technologies already used across modern medicine.
Limited evidence doesn’t make these technologies useless. It means clinical validation hasn’t caught up with market forecasts. Funding decisions based only on projected market size therefore carry little supporting data.
How to decide which healthcare technology trend to fund first
Most organizations can fund only one or two major healthcare technology initiatives each year. These questions can narrow the list faster than a feature comparison.
- Does a payer reimburse it? Reimbursed technology can be funded through operating revenue. Unreimbursed technology usually depends on a smaller innovation budget that is more vulnerable to cuts. RPM, behavioral telehealth, and hospital-at-home programs have established reimbursement paths for 2027.
- What does the evidence measure? Check which patient population the studies covered, who measured the results, and whether monitoring continued after the pilot. Confirm that the reported outcome matches the result you need rather than serving as a proxy.
- What will integration cost each year? The license is rarely the largest recurring expense. EHR connections, field mapping, maintenance, and rework after vendor updates often cost more. Estimate integration costs before comparing license prices.
- Which existing cost will it reduce? New revenue projections are difficult to validate. A proposal is easier to fund when it clearly reduces an existing cost, such as documentation time, claim handling, readmissions, or manual data entry.
| Budget line that already exists | What a technology must reduce to count against it |
|---|---|
| Clinician turnover and recruitment | Hours lost to documentation |
| Administrative processing | Manual prior authorization, coding, claim rework |
| Avoidable admissions and readmissions | Blind periods between visits |
| Downtime after a security incident | Time to detect, contain, and restore |
Before the pilot begins, assign a clear owner and define who will report the results, to whom, by what date, and against which baseline. If you’re evaluating one of these trends for your existing systems, our healthcare IT consulting team can estimate the integration scope and cost before you commit.
Conclusion
The healthcare technology trends most likely to matter in 2027 share one trait: an external incentive is driving adoption. Billing codes helped remote monitoring scale. A 7-day deadline is accelerating AI use in prior authorization. A 5-year waiver made hospital-at-home programs a capital planning decision. Temporary telehealth rules expiring in December 2027 will shape the future of virtual care.
Technologies with large forecasts but few operational drivers, including digital twins and bioprinting, are likely to remain in pilot programs. When planning a 2027 budget, ask which trend already has reimbursement, a regulatory requirement, or a measurable cost reduction behind it.
Once you identify the right opportunity, our team can assess the integration requirements and estimate what implementation would involve for your technology stack.
