Driving Medical Practice Revenue Growth in 2026: 18 Technologies and Strategies to Strengthen Your Practice

Published April 1, 2026 · Last updated May 1, 2026

The financial landscape for physician practices in 2026 is defined by a sharp contradiction: clinical demand is growing, but the margins that sustain independent and mid-size practices continue to narrow. Rising operating costs, ongoing staffing challenges, payer complexity, and a bifurcated 2026 Medicare conversion factor — offering 3.77% increases for advanced alternative payment model (APM) participants and 3.26% for non-participants, alongside a new -2.5% efficiency adjustment on non-time-based services — are pressuring practice economics from every direction. At the same time, the pace of technology adoption in healthcare has accelerated in ways that would have been difficult to predict even three years ago.

Practices that embrace the right mix of technology, operational strategy, and revenue diversification are finding ways not just to survive, but to grow. Those that wait risk falling behind — not only financially but in their ability to attract and retain patients and staff.

This article explores 18 technologies and service strategies that medical practices should evaluate in 2026. Each one is grounded in practical implementation considerations: reimbursement realities, workflow impact, compliance, and the staffing and infrastructure needed to make them work. Whether your practice is already using several of these or just beginning to explore new revenue opportunities, the goal is to help you make smarter, more strategic decisions about where to invest your time and resources.

Quick Reference: All 18 Technologies and Strategies at a Glance

The table below summarizes each of the 18 technologies covered in this article, the primary revenue lever it supports, the most important 2026 change, and a high-level adoption difficulty rating. Use it to prioritize where to focus your evaluation.

What's Changed Since 2023: Key Developments Medical Practices Should Know

When we first published a version of this article in 2023, many of the technologies discussed were still emerging or in early adoption. The past three years have brought meaningful shifts in regulation, reimbursement, and technology maturity that change the calculus for medical practices. The table below summarizes the largest 2023-to-2026 shifts; the narrative that follows expands on the most consequential developments.

1. AI-Powered Revenue Cycle Management

AI-powered revenue cycle management uses machine learning to automate eligibility verification, claim scrubbing, denial prediction, prior authorization documentation, and patient collections across the billing workflow. Artificial intelligence is reshaping every phase of the revenue cycle, from patient scheduling and eligibility verification through claims submission, denial management, and collections. Unlike the broad AI promises of a few years ago, today's tools are purpose-built for specific RCM workflows and increasingly demonstrate measurable returns.

Why it matters now: Prior authorization alone costs the U.S. healthcare system tens of billions of dollars annually in administrative overhead. According to the American Medical Association, physicians complete an average of nearly 39 prior authorizations per week, with staff spending roughly 12–13 hours weekly managing these requests. AI-driven automation can flag claims at high risk of denial before submission, auto-populate prior authorization documentation based on clinical data, verify eligibility in real time, and prioritize follow-up on aged accounts receivable.

Revenue and operational impact: Practices that adopt AI-driven denial prevention can shift from reactive appeals workflows to proactive error correction, reducing first-pass denial rates and shortening days in A/R. While AI-assisted coding tools can improve documentation specificity, they introduce significant compliance risks. The HHS-OIG and DOJ are actively monitoring AI-driven "upcoding" as a primary fraud vector, and providers must maintain strict human-in-the-loop review protocols to mitigate False Claims Act liabilities.

2. Ambient AI Clinical Documentation

Ambient AI clinical documentation refers to tools that use large language models to listen passively to patient–clinician conversations and automatically generate structured clinical notes, freeing physicians from typing during encounters. Ambient AI scribes have moved from niche pilots to widespread deployment in 2026. The VA has rolled the technology out nationwide, and at least one major EHR vendor now includes ambient AI documentation at no additional cost to subscribers.

Why it matters now: Clinical documentation burden remains one of the leading drivers of physician burnout. Time-motion studies consistently show that for every hour of direct patient care, physicians spend approximately two hours on EHR tasks and administrative work. Ambient AI scribes can reduce documentation time, improve the quality and completeness of clinical notes, and allow physicians to be more present during patient encounters.

Revenue and operational impact: Beyond the quality-of-life benefits, more complete and accurate documentation can improve coding accuracy and capture. Some early-adopter health systems have reported increases in work relative value units (wRVUs) and more comprehensive diagnosis documentation per encounter — not through upcoding, but by reducing under-documentation that occurs when busy clinicians omit clinically relevant details. Practices also see potential to increase patient throughput when physicians spend less time on after-hours notes.

3. Remote Patient Monitoring (RPM)

Remote patient monitoring (RPM) is the use of FDA-cleared connected devices to transmit physiologic data — blood pressure, glucose, weight, pulse oximetry — from patients to clinical teams between visits, billed under CPT codes 99453, 99454, 99457, 99458, and the new 2026 short-duration codes 99445 and 99470. RPM uses connected devices to collect and transmit patient health data to clinical teams for review and intervention. It has been a growing revenue opportunity for practices since CMS established dedicated billing codes, and the 2026 updates make it substantially more accessible.

Why it matters now: The new short-duration RPM codes (CPT 99445 and 99470) eliminate the longstanding requirement that practices collect at least 16 days of physiologic data before billing. Practices can now bill for as few as 2–15 days of data transmission and for as little as 10 minutes of treatment management time. This opens RPM to acute and episodic use cases — post-surgical recovery, medication adjustments, care transitions — that were previously unbillable.

Revenue and operational impact: RPM generates recurring monthly revenue per enrolled patient through device supply and treatment management codes. With the new shorter-duration options, practices can enroll patients who would not have met the previous 16-day threshold, expanding the eligible population. RPM also supports better clinical outcomes through early intervention, which can reduce costly emergency visits and hospitalizations — a valuable differentiator in value-based contracts.

4. Electronic Prior Authorization and Interoperability

Electronic prior authorization (ePA) is the FHIR-based, API-driven exchange of authorization requests, clinical documentation, and decisions between providers and payers, replacing the legacy fax-and-phone workflow. The shift toward electronic prior authorization, driven by CMS-0057-F, represents one of the most significant administrative changes in recent years. While the full API requirements do not take effect until January 2027, the operational and reporting requirements that began on January 1, 2026, are already changing payer behavior.

Why it matters now: Prior authorization has long been one of the most time-consuming and frustrating administrative processes for medical practices. The move toward FHIR-based electronic workflows promises to reduce turnaround times, eliminate fax-and-phone cycles, and provide real-time visibility into authorization status and requirements. Beginning March 31, 2026, CMS requires impacted payers to publicly report prior authorization metrics, including approval rates, denial rates, and average turnaround times. Practices should also monitor the CMS WISeR model, which launched in January 2026 to test AI-driven prior authorization for select procedures in Original Medicare.

Revenue and operational impact: Faster prior authorization decisions reduce care delays, improve patient satisfaction, and allow practices to schedule procedures with greater confidence. Reduced administrative time on prior auth frees staff to focus on higher-value work. Over time, practices that have integrated their EHR workflows with payer APIs will experience significantly less friction than those still relying on manual processes.

5. Telemedicine and Virtual Care

Telemedicine is the delivery of clinical care via real-time audio-video or audio-only technology between a patient and clinician in different locations, billed using the same E/M codes as in-person visits with appropriate modifiers and place-of-service coding. Telemedicine has matured well beyond its pandemic-era surge. In 2026, it serves as a standard care-delivery modality across many specialties, supported by established billing codes, expanded payer acceptance, and patient demand for convenience.

Why it matters now: Telemedicine enables practices to extend their reach, reduce no-show rates, and improve access for patients who face transportation, mobility, or scheduling barriers. For practices in competitive markets, offering virtual visit options is increasingly a baseline patient expectation rather than a differentiator.

Revenue and operational impact: Virtual visits can improve provider utilization by filling schedule gaps, reducing in-person visit overhead, and enabling practices to serve patients across a broader geographic area where state licensing permits. Telemedicine also complements RPM and chronic care management programs, creating a connected care model that generates multiple reimbursable touchpoints per patient.

6. Digital Therapeutics

Digital therapeutics (DTx) are evidence-based, often FDA-authorized software products that prevent, manage, or treat medical conditions, distinguished from general wellness apps by clinical trial validation and, in some cases, regulatory clearance. They are used for conditions including substance use disorders, insomnia, chronic pain, diabetes management, and mental health conditions.

Why it matters now: As the evidence base for digital therapeutics grows and payer coverage expands, practices have an opportunity to offer these tools as adjunctive or standalone treatments. For practices focused on chronic disease management, behavioral health, or pain management, DTx can extend the care team's reach between visits and improve treatment adherence.

Revenue and operational impact: Medicare has established specific reimbursement pathways for FDA-cleared Digital Mental Health Treatment (DMHT) devices via HCPCS codes: G0552 for supply and onboarding, G0553 (~$20.06) for the first 20 minutes of monthly management, and G0554 (~$19.73) for additional increments. For value-based care practices, DTx can help improve quality metrics and reduce the total cost of care.

7. Wearable Devices and Connected Health

Wearable health technology refers to consumer and medical-grade devices — smartwatches, continuous glucose monitors, connected blood pressure cuffs, pulse oximeters, and activity trackers — that continuously capture physiologic and behavioral data outside of clinical settings. These devices are generating an unprecedented volume of patient health data; the question for practices is how to translate that data into clinical value and revenue.

Why it matters now: Wearable devices are increasingly capable of detecting clinically meaningful signals: atrial fibrillation, sleep apnea indicators, blood oxygen trends, and activity patterns. When integrated into RPM or chronic care management programs, wearable data can support earlier interventions and better-informed clinical decisions. Patient willingness to use these devices is high, driven by the mainstream adoption of consumer health technology.

Revenue and operational impact: Wearable device data can support RPM billing when the devices meet CMS requirements for physiologic monitoring. Beyond direct reimbursement, wearable-integrated care programs can improve patient engagement and retention, enhance chronic disease management outcomes, and strengthen a practice's position in value-based contracts.

8. Genetic Testing and Precision Medicine

Genetic and genomic testing analyzes a patient's DNA to guide medication selection (pharmacogenomics), assess hereditary disease risk, identify genetic carrier status, or diagnose rare conditions. Pharmacogenomic testing to guide medication selection, hereditary cancer risk panels, carrier screening, and whole-exome sequencing for rare disease diagnosis are all becoming more routine in appropriate clinical settings.

Why it matters now: As the cost of genetic testing has continued to decline and the clinical evidence base has expanded, more payers are covering these tests for indicated populations. Pharmacogenomics, in particular, offers practices the opportunity to improve prescribing accuracy, reduce adverse drug events, and demonstrate value in patient outcomes — all while generating billable services.

Revenue and operational impact: Genetic testing can be billed as a laboratory service, and the interpretation and counseling associated with results can generate evaluation and management charges. While clinically valuable, genetic testing is heavily scrutinized for federal healthcare fraud. Financial relationships with reference labs must comply strictly with the Stark Law, the Anti-Kickback Statute, and EKRA, and testing must be driven solely by documented medical necessity.

9. Chronic Care Management (CCM), Principal Care Management (PCM), and Advanced Primary Care Management (APCM)

Chronic Care Management (CCM), Principal Care Management (PCM), and Advanced Primary Care Management (APCM) are Medicare-recognized programs that reimburse practices for non-face-to-face care coordination delivered to patients with chronic conditions. These programs allow practices to bill for activities they are often already performing — medication reconciliation, care plan updates, coordination with specialists, patient check-ins, and caregiver communication — but not capturing as billable services.

Why it matters now: CCM, PCM, and APCM generate recurring monthly revenue for care coordination activities. APCM, introduced by CMS in 2025, simplifies the billing structure with bundled monthly payments tiered by patient complexity, eliminating the time-tracking burden that has limited adoption of legacy CCM codes.

Revenue and operational impact: A well-structured CCM or APCM program can generate meaningful monthly revenue per enrolled patient, with the potential to scale across a practice's eligible patient panel. Beyond direct reimbursement, these programs improve care continuity, reduce hospitalizations and emergency visits, and enhance patient loyalty and satisfaction.

10. AI-Assisted Diagnostic Imaging and Clinical Decision Support

AI-assisted diagnostic imaging applies machine learning algorithms to medical images — CT, MRI, X-ray, pathology slides, retinal photos, dermatology images — to detect abnormalities, triage urgent findings, and quantify disease characteristics in support of clinician decision-making. Artificial intelligence is increasingly embedded in diagnostic imaging workflows across radiology, pathology, dermatology, ophthalmology, and cardiology.

Why it matters now: The 2026 CPT code updates include new codes for AI-assisted diagnostic and analytic services, including coronary plaque assessment, perivascular fat analysis, and burn wound imaging. These codes signal that AI-assisted diagnostics are moving from research tools to reimbursable clinical services.

Revenue and operational impact: The new Category I CPT code 75577 reimburses for AI-enabled coronary plaque analysis derived from CCTA, with Medicare establishing payment rates exceeding $950–$1,000 depending on the setting. AI tools can also improve workflow efficiency by prioritizing critical findings and reducing turnaround times. For practices participating in value-based arrangements, improved diagnostic accuracy can contribute to better outcomes and quality scores.

11. Biologics and Biosimilar Administration

Biologics are large-molecule drugs derived from living cells used to treat conditions including rheumatoid arthritis, psoriasis, inflammatory bowel disease, and certain cancers; biosimilars are highly similar, lower-cost versions approved after the reference biologic's exclusivity expires. The growing availability of biosimilars is creating new options for practices and patients.

Why it matters now: The biosimilar market continues to expand, offering lower-cost alternatives to reference biologics while maintaining clinical efficacy. For practices that administer biologics in office, this creates opportunities to manage drug costs, improve patient access, and maintain strong reimbursement through buy-and-bill arrangements.

Revenue and operational impact: In-office biologic infusions and injections generate significant revenue through drug administration codes and buy-and-bill margins. Biosimilar adoption can reduce drug acquisition costs while maintaining reimbursement rates that are often linked to the reference product. However, payer policies vary widely, and practices must carefully manage inventory, reimbursement expectations, and patient education.

12. Patient Financial Engagement and Payment Technology

Patient financial engagement technology refers to tools that estimate, communicate, and collect patient out-of-pocket obligations — including real-time eligibility verification, automated cost estimators, text-to-pay, online portals, payment plans, and card-on-file solutions. Patient responsibility for healthcare costs continues to grow, driven by high-deductible health plans and rising out-of-pocket maximums, making this technology essential for revenue integrity.

Why it matters now: Price-transparency regulations, combined with patient expectations for consumer-grade payment experiences, are prompting practices to invest in upfront cost estimation, digital payment options, and automated payment plans. Practices that rely solely on post-visit paper statements are seeing declining collection rates and rising bad debt.

Revenue and operational impact: Real-time eligibility verification, automated cost estimation, point-of-service collection tools, and digital payment platforms can significantly improve patient collections. Reducing the volume of patient statements and collection follow-ups also lowers administrative costs.

13. Immunotherapy and Advanced Oncology Services

Immunotherapy is a class of cancer treatment that activates a patient's own immune system to recognize and attack tumor cells, including checkpoint inhibitors, CAR-T cell therapy, monoclonal antibodies, and cancer vaccines. For oncology practices, staying current with immunotherapy protocols and reimbursement pathways is both a clinical imperative and a financial one.

Why it matters now: The number of FDA-approved immunotherapy indications has grown substantially, and combination approaches involving immunotherapy alongside chemotherapy, radiation, or targeted therapies are becoming standard in many cancer types. For community oncology practices, the ability to offer these treatments locally — rather than referring patients to academic centers — is a key differentiator.

Revenue and operational impact: Immunotherapy drugs carry high acquisition costs but also generate significant reimbursement through drug administration and buy-and-bill models. Practices must carefully manage the financial risk associated with high-cost drug inventory, payer-specific coverage criteria, and the prior authorization requirements that accompany most immunotherapy regimens.

14. Regenerative Medicine and Orthobiologics

Regenerative medicine uses biologic materials — platelet-rich plasma (PRP), bone marrow concentrate, amniotic tissue, and stem cell preparations — to stimulate healing of injured musculoskeletal tissues, primarily in orthopedics, sports medicine, and pain management. The category continues to grow as patient demand for non-surgical alternatives expands.

Why it matters now: Patient demand for non-surgical, biologic-based treatments for joint pain, tendon injuries, and degenerative conditions remains strong. For practices with the appropriate clinical expertise, regenerative medicine services can attract new patients, differentiate the practice, and generate revenue from services that many patients are willing to pay for out of pocket.

Revenue and operational impact: Practices must be transparent about the evidence base, manage patient expectations carefully, and avoid making unsupported claims about outcomes. The marketing of regenerative medicine, particularly stem cell therapies, carries critical regulatory risk. Recent appellate rulings have affirmed the FDA's authority to regulate clinician-created stem cell therapies, and the FTC continues to prosecute clinics for deceptive marketing, resulting in multi-million-dollar penalties.

15. Cybersecurity and Compliance Infrastructure

Healthcare cybersecurity infrastructure encompasses the technical, administrative, and physical safeguards required to protect electronic protected health information (ePHI) under the HIPAA Security Rule — including multi-factor authentication, encryption in transit and at rest, intrusion detection, backup systems, and incident response capabilities. While not revenue-generating in the traditional sense, this infrastructure has become a non-negotiable investment for medical practices. The financial and operational consequences of a data breach, ransomware attack, or HIPAA violation can be devastating — and the risk is increasing.

Why it matters now: Healthcare remains the most targeted industry for cyberattacks, and small to mid-size practices are increasingly in the crosshairs. The HHS Notice of Proposed Rulemaking published in late 2024 would update the HIPAA Security Rule for the first time in over two decades, converting long-standing "addressable" safeguards into mandatory requirements — including Multi-Factor Authentication (MFA) across all systems that access ePHI, mandatory encryption, written incident response plans, and 72-hour data restoration capabilities. Final rule timing remains uncertain, but the direction is clear.

Revenue and operational impact: The revenue impact of cybersecurity is primarily defensive, protecting the practice against catastrophic financial losses. A single ransomware event can cost a practice hundreds of thousands of dollars in recovery costs, lost revenue from downtime, and potential legal liability. Compliance with evolving HIPAA requirements is also a prerequisite for participation in many payer contracts and value-based arrangements.

16. Agentic AI Clinical and Administrative Workflows

Agentic AI is artificial intelligence that autonomously executes multi-step workflows — querying systems, calling APIs, completing tasks — without per-step human prompting, distinguishing it from generative AI, which produces content for human review. Agentic AI acts as an orchestrator rather than an assistant.

Why it matters now: Agentic AI can independently query the EHR for clinical indicators, log into a payer's API portal, submit a prior authorization request, monitor its status, and automatically schedule the patient's procedure upon approval. This end-to-end automation represents a fundamental shift from AI as a tool to AI as a workflow participant.

Revenue and operational impact: Agentic AI enables a "services-as-software" business model, allowing practices to perform complex RCM tasks with software-level margins — fundamentally altering administrative overhead costs.

17. Healthcare Digital Twins

A healthcare digital twin is a continuously updated virtual replica of a physical entity — a patient's organ system, a clinic's operational workflow, or a hospital's infrastructure — that uses real-time data to simulate and predict outcomes before they occur in the real world.

Why it matters now: Fueled by real-time telemetry from EHRs, wearables, and imaging, digital twins use AI to simulate and predict outcomes before they occur in the real world. The technology is transitioning from research settings into practical operational applications.

Revenue and operational impact: Mid-size practices can utilize digital twins of their clinic workflows to simulate patient flow, predict scheduling bottlenecks, and optimize room utilization to maximize daily throughput.

18. Programmable Payments and Stablecoin Integration

Programmable payments use blockchain-based stablecoins and smart contracts to execute financial transactions automatically when predefined conditions are met, enabling near-instant settlement without traditional clearinghouse delays. Following the passage of the GENIUS Act in 2025, this category has unlocked enterprise-grade B2B applications in healthcare.

Why it matters now: Traditional healthcare revenue cycles are plagued by multi-day settlement delays and liquidity bottlenecks. Smart contracts introduce "if-then-else" logic that executes financial transfers instantly when specific conditions are met, bypassing traditional clearinghouse friction.

Revenue and operational impact: For medical practices dealing with complex multi-party supply chains, out-of-network cash-pay services, or cross-border medical commerce, stablecoin architecture ensures 24/7/365 settlement without weekend or holiday delays.

Putting It All Together: A 4-Step Practical Framework for Evaluation

Not every technology on this list is right for every practice. The key is to evaluate each opportunity through the lens of your specific clinical focus, patient population, payer mix, staffing capacity, and strategic goals. The four sequenced steps below provide a logical adoption path for most independent and mid-size practices.

Common Mistakes Medical Practices Make in 2026 Technology Adoption

Across hundreds of medical practice engagements, the same patterns of avoidable error appear repeatedly. The following list highlights the most common — and most costly — mistakes practices make when evaluating and adopting new technologies and service lines in 2026.

1. Treating technology as a line-item expense rather than a strategic investment. Practices that approach AI scribes, RPM platforms, or RCM automation purely as cost decisions tend to under-invest in change management, training, and workflow redesign — which is where most of the value actually lives.
2. Bolting RPM, CCM, or APCM onto a broken revenue cycle. A new service line cannot outrun a high denial rate, slow patient collections, or poor eligibility verification. Fix the foundation first.
3. Skipping documented patient consent for ambient AI scribe audio recording. Many states have one-party or two-party consent laws that govern audio recording. Practices must document consent in the EHR for every patient encounter where ambient AI is used.
4. Failing to differentiate short-duration and standard-duration RPM codes. CPT 99445 (2–15 days) and 99454 (16+ days) are mutually exclusive within the same calendar month, as are CPT 99470 (10 min) and 99457 (20 min). Billing both in the same month triggers automatic denials.
5. Allowing AI-driven coding without human-in-the-loop review. The HHS-OIG and DOJ have signaled that AI-driven upcoding is a primary False Claims Act enforcement priority. Every AI-suggested code must be reviewed and approved by a credentialed coder or clinician before claim submission.
6. Underinvesting in cybersecurity until after a HIPAA risk-assessment finding. Practices routinely defer MFA, encryption, and incident response investments. The proposed 2024 HIPAA Security Rule updates would make these mandatory, and a single ransomware event typically costs more than five years of preventive investment.
7. Signing agentic AI vendor contracts without indemnification for autonomous action. When an AI agent submits a prior authorization, schedules a patient, or triggers a payment, who bears liability if it errs? Practices must ensure vendor contracts explicitly indemnify against autonomous AI actions, hallucinations, and resulting financial or clinical harm.

Glossary of Key Acronyms

The following acronyms appear throughout this article and across CMS, HHS, and CPT documentation referenced in the 2026 healthcare technology and reimbursement landscape.

Frequently Asked Questions

What are the new RPM CPT codes for 2026?

CMS introduced two new short-duration Remote Patient Monitoring codes effective January 1, 2026: CPT 99445 covers device supply for 2–15 days of physiologic data transmission (~$47), and CPT 99470 covers 10 minutes of treatment management (~$26). These are mutually exclusive within a calendar month with the standard-duration codes 99454 (16+ days) and 99457 (20 minutes). Parallel new codes for Remote Therapeutic Monitoring are 98985 and 98979.

What is the 2026 Medicare conversion factor for physicians?

The CY 2026 Medicare Physician Fee Schedule established a bifurcated conversion factor: a 3.77% increase for clinicians in advanced alternative payment models (APMs) and a 3.26% increase for non-APM participants. The MPFS also introduced a -2.5% efficiency adjustment on non-time-based services, partially offsetting the conversion factor increase for many specialties.

When does the CMS-0057-F prior authorization rule take effect?

The CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F) was released January 2024. Operational and public reporting requirements for impacted payers — Medicare Advantage, Medicaid managed care, CHIP, and federal exchange QHPs — became effective January 1, 2026. The first public reporting of prior auth metrics is due March 31, 2026. The more complex FHIR-based API requirements (CRD, DTR, PAS) carry a compliance deadline of January 1, 2027.

What is the difference between CCM, PCM, and APCM?

Chronic Care Management (CCM), codes 99490/99439/99487/99489, covers patients with two or more chronic conditions and is billed by total time spent on care coordination. Principal Care Management (PCM), codes 99424–99427, covers patients with a single high-complexity chronic condition. Advanced Primary Care Management (APCM), codes G0556/G0557/G0558, is a 2025 CMS bundled care management framework reimbursed at flat monthly rates tiered by patient complexity (~$16, ~$54, ~$117), eliminating the time-tracking requirement of legacy CCM.

Are ambient AI scribes reimbursable in 2026?

Ambient AI scribes are not separately reimbursable. They generate revenue indirectly by improving documentation completeness (which can support more accurate evaluation and management coding), reducing physician after-hours work, and increasing daily patient throughput. Practices should never use ambient AI to support upcoding; HHS-OIG and DOJ are actively monitoring AI-driven documentation as a primary False Claims Act enforcement priority.

What is agentic AI in healthcare?

Agentic AI is artificial intelligence that autonomously executes multi-step workflows — querying the EHR, calling payer APIs, submitting prior authorization requests, monitoring status, and scheduling patients — without per-step human prompting. Unlike generative AI, which drafts content for a human to review, agentic AI is a workflow participant. Its emerging healthcare use cases include end-to-end prior authorization automation, denial follow-up, and patient outreach.

What HIPAA Security Rule changes are expected in 2026?

HHS published a Notice of Proposed Rulemaking in late 2024 that would convert long-standing "addressable" safeguards into mandatory requirements, including multi-factor authentication for all systems accessing ePHI, encryption of ePHI in transit and at rest, written incident response and disaster recovery plans, 72-hour data restoration capability, network segmentation, vulnerability scanning, and annual penetration testing. Final rule timing remains uncertain; practices should begin implementation as a defensive measure regardless of when the rule is finalized.

What is CPT 75577?

CPT 75577 is a new 2026 Category I code for AI-enabled coronary plaque analysis derived from coronary CT angiography (CCTA), used to quantify plaque burden, composition, and ischemia risk. Medicare reimbursement exceeds $950–$1,000 depending on the setting. The clinician retains responsibility for final interpretation; AI output is documented as a component of clinical judgment, not a replacement.

How much do prior authorizations cost a medical practice?

According to American Medical Association survey data, physicians complete an average of nearly 39 prior authorizations per week, and practice staff spend roughly 12–13 hours weekly managing prior auth requests. Aggregated across the U.S. healthcare system, prior authorization administrative overhead costs tens of billions of dollars annually and remains one of the largest non-clinical drivers of practice cost.

What is the CMS WISeR model?

WISeR (Wasteful and Inappropriate Service Reduction) is a CMS Center for Medicare and Medicaid Innovation pilot launched January 2026 that uses AI-supported prior authorization for select procedures in Original (Traditional) Medicare. Operating in six states, the model targets services with high rates of inappropriate billing or low-value utilization, marking the first significant test of prior authorization in fee-for-service Medicare.