By Andrew Ehrenberg, Vice President, Neurology Business Unit at Nihon Kohden.
Brain health has long represented one of the most complex frontiers in medicine. Conditions like epilepsy, stroke and traumatic brain injury often require fast, precise insight into the brain’s electrical activity, something only electroencephalography (EEG) can reveal. Once confined to specialized labs, EEG monitoring is now expanding into new environments, from emergency departments and ICUs to patient homes, helping clinicians detect changes sooner and guide care more confidently.
Understanding EEG: A Window into the Brain
EEG works by capturing the brain’s electrical signals through sensors placed on the scalp or into the tissue of the brain itself. These sensors record patterns of activity that reflect how neurons communicate. Because these signals are extremely subtle, up to a hundred times more sensitive than those captured by a cardiac monitor, they provide a uniquely detailed view of neurological function.
For patients who are comatose, non-responsive or experiencing unexplained symptoms, EEG offers a vital diagnostic lifeline. It helps physicians distinguish between seizure activity and other causes of altered consciousness, tailor treatment plans and evaluate how therapies are working in real time.
Expanding Access: From Specialized Labs to Everyday Care
Traditionally, EEG requires patients to remain tethered to large, stationary equipment. Advances in wireless and compact amplifier technologies now make it possible to deliver EEG monitoring virtually anywhere care is provided.
In critical care settings such as the ICU, ED or NICU, rapid-deployment systems allow clinicians to initiate EEG monitoring within minutes, at the bedside, supporting faster triage and early differentiation of nonconvulsive seizures versus other acute neurological conditions. For long-term epilepsy, high-channel systems capture intricate brainwave data over extended periods without limiting patient mobility. In sleep studies, brainwave data is combined with recording of respiratory and cardiac function to diagnose and treat a variety of sleep disorders.
Ambulatory EEG options even enable patients to undergo testing at home, maintaining continuous data collection while allowing natural movement and daily activity. These advancements not only improve comfort but also increase the likelihood of capturing relevant neurological events.
Smarter Integration, Stronger Insights
Modern EEG platforms increasingly operate as part of integrated neurodiagnostic ecosystems, combining hardware, software and connectivity to support seamless workflows. Continuous data streaming through secure hospital networks allows neurologists to review brainwave activity remotely, collaborate with care teams and make timely decisions, regardless of where the patient is located.
For hospitals, interoperability between EEG systems and electronic medical records enhances efficiency and reduces manual data handling. For clinicians, it provides a clearer, consolidated view of patient status across care areas and along their hospital journey, from ED to ICU to EMU to treatment.
Elevating the Patient and Clinician Experience
The evolution of EEG is not only about technology; it’s about experience. For patients, lighter and less intrusive equipment means fewer restrictions, reduced anxiety and a more natural environment during monitoring. For clinicians and technologists, intuitive interfaces and reliable connectivity streamline setup, minimize artifacts and support confident, informed analysis.
The Future of EEG in a Connected Care Landscape
As hospitals and health systems continue to prioritize smarter, more connected care, EEG is emerging as a cornerstone of neurological insight. By enabling earlier detection, continuous visibility and cross-department collaboration, EEG technologies are redefining how clinicians approach brain monitoring—from acute emergencies to long-term management.
Ultimately, EEG is more than a diagnostic test – it’s a bridge between unseen neural activity and actionable clinical understanding. And as innovation grows, it will further strengthen every step of the care continuum, supporting clearer decisions and more efficient care.
By Bobby Ghoshal, Chief Executive Officer, Experity.
Urgent care has become a regular part of how millions of people interact with healthcare and a cornerstone of the broader on-demand care landscape. At its core, on-demand care gives consumers the ability to initiate and access appropriate healthcare services on their terms: when, where, and how they need them, without unnecessary friction.
New federal data reinforces just how mainstream that access point has become. According to the National Center for Health Statistics, 27.6% of Americans visited an urgent care center at least once in 2024. Among adults ages 18 to 64, that figure reached 28.9%.
The encounter may still begin with an immediate need, but patients increasingly arrive with healthcare histories, follow-up needs, and expectations shaped by digital experiences across the rest of their lives. Urgent care leaders have an opportunity to consider how the principles of on-demand care can support more of that journey while preserving the speed, access, and convenience that made the model successful.
A Bigger Role in Healthcare Access
For some patients, urgent care already occupies a larger place in their healthcare lives than the occasional sick visit. In 2024, 8.6% of U.S. adults reported an urgent care center or a clinic in a drug or grocery store as their usual source of healthcare. Among adults ages 18 to 34, the figure was 12.2%. (CDC)
Those numbers should get the industry’s attention. They suggest that the boundaries between traditional categories of healthcare access are becoming less distinct for at least some consumers.
At the same time, urgent care organizations have expanded what they can provide. Depending on the organization and community, patients may encounter urgent care through occupational medicine, diagnostic services, vaccinations and other preventive services, virtual care, or follow-up related to an earlier visit.
The opportunity is substantial, but expansion deserves a clear strategy. Adding services alone does not define the future of urgent care. Leaders need to determine which healthcare needs fit the model, where their organizations can provide meaningful continuity, and how additional services affect clinical and operational complexity.
Preserve What Patients Value About Urgent Care
Growth into a broader access role should begin with the characteristics that made urgent care valuable in the first place. In many ways, urgent care helped establish the expectations that define on-demand care today: patients can initiate care on their terms and access appropriate services without waiting for a traditional appointment.
As urgent care expands, new services should make appropriate care easier to access without introducing significant delays, complicated processes, or administrative burdens that undermine the accessibility the organization is trying to extend.
Urgent care organizations can evaluate new services based on how naturally they fit within their clinical capabilities, staffing model, patient population, community needs, and existing operations. They can also consider what happens after the patient leaves. As the range of services grows, information and follow-up become increasingly important parts of delivering a coherent experience.
The future of urgent care may therefore depend as much on coordinating care across settings as expanding the services available within urgent care.
The Visit Has a Before and an After
An episodic encounter still exists within a larger healthcare journey. A patient may arrive with a medication history that affects treatment. An X-ray may uncover a finding that requires additional evaluation. A test result may require follow-up. The patient may need to return to primary care or move to a higher level of care.
Those transitions have long been a challenge across healthcare. Research specifically examining urgent care transitions has emphasized timely, accurate clinician-to-clinician communication and patient engagement when patients move from urgent care to primary care or the emergency department. (PubMed)
As urgent care takes on a larger role in healthcare access, effective coordination across settings becomes increasingly consequential. The quality of an encounter includes the information available when care begins, the information generated during the visit, and how effectively relevant information follows the patient afterward.
This is an area where health technology can play an important role. Digital access can help patients enter care more easily. Accessible clinical information can give providers greater context at the point of care. Communication tools can support instructions and follow-up. Integrated data can help organizations understand what happened across the entire encounter and identify where additional action is needed.
Technology can support that broader on-demand care experience by reducing friction before the visit, giving providers better information during the encounter, and supporting communication and coordination afterward. Urgent care can become easier to access and better coordinated with the patient’s broader healthcare journey without abandoning the episodic operating model that makes it distinct.
Continuity Does Not Require Owning the Entire Patient Journey
As on-demand care expands, urgent care leaders will need to define where greater continuity fits within the model. Primary care has an established role in prevention, chronic disease management, long-term treatment planning, and the ongoing clinician-patient relationship. Urgent care brings its own strengths to the healthcare system, with an operating model built around timely, convenient access to immediate healthcare needs.
Research on urgent care and primary care has raised this same issue for years, examining how urgent care can improve access while maintaining continuity across settings. Communication and collaboration are recurring themes in that research.
For urgent care leaders, that creates a more useful definition of continuity. The organization does not have to become the destination for every healthcare need. It can help make each encounter a better-coordinated part of the patient’s care.
Sometimes that means providing another appropriate service within the urgent care organization. Sometimes it means ensuring the patient understands what should happen next. Sometimes it means making information available to another clinician or setting.
The goal is to reduce the likelihood that each encounter begins and ends as an information island.
Defining the Next Chapter of Urgent Care
The growth of urgent care has already changed where and how Americans seek healthcare. In doing so, the industry helped establish a model of on-demand care built around access, convenience, and the ability for consumers to seek appropriate care on their terms.
Its next chapter may be about how far those principles can extend. There is room to expand access, add services, use technology to reduce friction, create greater continuity, and improve coordination across a patient’s healthcare journey. The organizations that pursue those opportunities will need to balance them against the qualities patients already value: convenience, speed, accessibility, and confidence that they can get the care they need.
Urgent care does not need to own the entire patient journey to play a larger role in it. Its opportunity is to make appropriate care easier to access when and where patients need it, more informed by what came before, and better coordinated with what comes next.
Independent physician practices are absorbing two kinds of pressure at once. Claims are denied earlier in the revenue cycle, often by an automated edit rather than by a reviewer who has read the chart. And the money that does land is not final: the same payers, along with Medicare contractors and commercial special investigations units, can review paid claims after the fact and take the payment back.
A hospital absorbs that with a denial team and a compliance office. A five-physician group lands the same volume on a billing manager, a part-time coder, and a physician who still sees patients all day.
The practices that hold up are not the ones with the most software. They are the ones whose documentation and follow-up read the same way whether the next reader is a payer’s nurse reviewer, a Recovery Auditor pulling paid claims months after the fact, or the physician-owner asking why collections slipped.
Why denials and audits hit independents harder
Denial and audit volume is not distributed evenly. Independent practices rarely have redundant staff, so a spike in medical-necessity denials or a Targeted Probe and Educate (TPE) letter from a Medicare Administrative Contractor competes with tomorrow’s charge entry. TPE runs in rounds, and a provider whose error rate does not improve across them can be referred to CMS for next steps that may include 100 percent prepayment review, extrapolation, or referral to a Recovery Auditor. The cost of answering the first letter poorly is a larger letter later.
Narrower CPT and ICD-10 mixes also make patterns easier for payers to flag. When a denial is under-worked, closed as “not worth it,” appealed vaguely, or left until the appeal window closes, the practice loses twice: once on the claim, and again if an auditor later samples the same documentation standard. The same is true when a claim that should have been corrected and rebilled is argued instead, until timely filing runs out.
The answer is not to fight every denial with maximum force. It is to make the chart, the claim, and the follow-up trail tell one consistent story to anyone who asks for all three the same afternoon.
Documentation patterns that survive a second look
Most denials that later become audit findings share a documentation gap, not a coding mystery. The note does not support medical necessity for the level billed. The order is missing, unsigned, or not tied to the date of service. The diagnosis on the claim is more specific than anything in the assessment. The procedure note describes what was done but not why it was done that day. Practices that withstand review treat the note as evidence, not only as a clinical diary.
Link the reason for the visit to the service billed. If the claim carries a higher E/M level, a diagnostic test, or a procedure, the assessment and plan should show the decision-making that required it. Unchanging template language is a gift to an auditor; specificity that tracks the encounter is harder to challenge.
Keep orders, results, and the billed service on one timeline. An auditor reading an imaging claim will look for the order, the indication, the report, and the clinician’s interpretation or next step. If those pieces live in three systems with three dates and no cross-reference, staff spend hours reconstructing what should have been one story.
Code from the documentation, then check the documentation against the code. That second pass, asking whether the note supports what was submitted, is where many practices lose ground. It does not require a full second coding review of every claim. It does require a short checklist on high-dollar, high-denial, and high-audit-risk services before they leave the building.
Preserve the version that was current on the date of service. Amendments and late entries happen; when they do, date and label them clearly. Quietly rewriting a note after a denial letter arrives is one of the fastest ways to turn a recoverable denial into a compliance problem.
Follow-up patterns that recover money without inviting risk
Denial work that survives an audit looks boring on purpose. It is timed, categorized, and written as if a third party will read it.
Work denials on a calendar, not when there is time. Sort the queue by appeal deadline before sorting it by dollar value, because the dollars survive a week of delay and the deadline does not. A medical-necessity denial that sits while staff “gather records” can run out the clock on a payer with a short appeal window. Assign an owner for each denial category, such as eligibility, authorization, coding, medical necessity, and bundling, so the same person sees the pattern and can fix the front-end cause.
Match the appeal to the denial reason. A coding denial needs the code rationale and the applicable guideline. A medical-necessity denial needs the clinical documentation and, where relevant, the payer’s coverage policy. A generic “please reconsider” letter teaches the payer that the practice will not defend the claim, and it gives an auditor nothing useful if the account is later sampled.
Keep the appeal packet complete and reproducible. Cover letter, denial, relevant chart pages, order, and policy excerpt, with page references. If the practice cannot recreate that packet six months later, it was never audit-ready.
Know when not to appeal. Some denials are correct. Appealing a claim the documentation does not support wastes time and creates a paper trail an auditor can use against the practice. Closing with a one-line reason, such as “documentation does not support level; education issued to provider,” is often the stronger compliance posture.
Write down the decision either way. Corrected and resubmitted, appealed, or closed, the reason belongs in the practice management note the day it is made, in one line, in plain language. Silence in the account history is what makes later audits painful, because an auditor reading a bare account cannot tell a considered write-off from neglect.
Track the outcome and feed it upstream. Authorization denials clustered on one CPT code are a scheduling problem. Level-of-service denials clustered on one clinician are a documentation coaching problem. Denial work that never changes intake, ordering, or note quality is expensive theater.
The habits that hold up between audits
Audit readiness is not a quarterly panic. It is a handful of habits that already fit a busy independent practice.
Name owners. Someone owns denial aging. Someone owns payer policy updates for the practice’s top services. Someone owns the response calendar when a medical-record request or audit letter arrives. “The billing office” is not an owner.
Protect response time on record requests. A review can be lost on the clock rather than on the medicine. Under CMS’s Medicare Program Integrity Manual, a provider has 45 calendar days to answer an additional documentation request from a Medicare Administrative Contractor or Recovery Auditor, and only 30 calendar days for a Unified Program Integrity Contractor; reviewers are instructed to deny the claim when the documentation does not arrive in that window, absent an applicable extension. Log the request date, the due date, what was sent, and how it was sent, and keep a copy of the exact packet.
Sample your own charts before someone else does. A monthly pull of high-risk services, whether new patients, procedures, or whatever the denial report highlights, catches documentation drift early. The goal is coaching, not blame.
Separate clinical judgment from billing defense. Physicians document for patient care first. Billing staff then ask whether that documentation supports the claim as submitted. When the answer is no, the fix is the claim, or the note template going forward, never the note that already exists.
Holding the line without becoming a claims factory
Nothing about this waits for a practice to staff up. Practices that defend themselves treat documentation as evidence, follow-up as a dated process, and appeals as a selective argument rather than a reflex. Those patterns protect revenue, and they protect the practice when the next letter is an audit.
This work requires no particular vendor. It requires named owners, reproducible packets, and the discipline to close what cannot be defended. That is how a small practice stays independent without becoming a soft target.
By Colin Banas, M.D., M.H.A., Chief Medical Officer, DrFirst.
I travel so much for work that I always have my favorite airline app front and center on my phone. Before I get to the gate, it tells me where the plane is, whether it’s on time, what’s causing a delay if there is one, and what happens next.
I just wish the prior authorization process would give doctors that same type of information. I write a prescription, submit a PA request, and then…nothing. No status bar, no explanation for a delay. Just a black hole where my patient and I wait to find out whether treatment is approved, delayed, or denied, and why.
That gap creates more than frustration. The 2025 American Medical Association PA physician survey found that 92% of respondents believe the PA process has a negative impact on clinical outcomes. When a flight is delayed, the inconvenience is annoying, but status updates keep passengers informed so they can make alternate plans. When a PA is delayed, there’s simply a void. Patients wait with no information about what’s happening or when they can expect an answer. Even worse, delays can mean patients don’t get the therapy they need in a timely manner or lead to patients giving up on treatment altogether.
Other factors contribute to prescription abandonment, of course. For example, JAMA recently published a study that explored how frequently prescriptions are rejected because of insurance formulary restrictions in the United States, and how often the rejected medicines are ultimately dispensed. It found that once rejected, only 38.6% of patients obtained the prescribed drug, and 13% received a medication in the same therapeutic class, meaning that nearly half (48.4%) received no medication in the same therapeutic class within 90 days. Half of patients giving up on therapy is an alarming rate of abandonment, and the prescriber may never know about it until the patient returns for follow-up, often months later. But that’s a story for another article.
Prior Authorization Rules Need to Go Beyond Turnaround Time
Now, the regulatory landscape is shifting. The federal HTI-4 final rule established the certification criteria for electronic prior authorization last year, and CMS-0057-F is requiring payers to answer an urgent PA request within 72 hours and a standard request within seven calendar days.
That’s a real improvement, and it’s overdue. But as with an airline flight, landing on schedule is just one part of the journey. While PA turnaround time tells you when the determination arrived, it tells you nothing about turbulence in the process, such as whether the submission included everything the payer needed or was sent back due to missing information. One source of turbulence that needs to be curtailed is the Direct Data Entry (DDE) portal exception. By setting a firm sunset date for this exception, CMS will ensure providers won’t stay stuck in legacy workflows. Moving away from portals is essential to reducing clinician burnout and improving patient access to therapy.
Another cause of turbulence right now is the role of AI in PA decision-making. Modern aircraft fly most of a routine flight on autopilot. That’s the whole point of the system. What’s non-negotiable is that a licensed pilot stays in the seat, is accountable for the outcome, and is required to take manual control the moment something falls outside the routine. In other words, the FAA doesn’t ban automation, it just makes sure there’s a “human in the loop.”
PA has no equivalent standard. The rules don’t require disclosure of whether a denial for a specialty medication or complex therapy had a clinician in the seat or was processed entirely on autopilot. Nor do they require reporting on how often the automated denials get reversed once a physician or patient appeals.
Healthcare policymakers are increasingly interested in putting AI to work reviewing claims faster, and I think that instinct is basically right. An algorithm that catches a documentation gap before a human reviewer gets to it is a genuine improvement. But physicians and patients should know whether AI played a role in accepting or denying a PA, just as physicians owe it to our patients to disclose when we’re using AI in the exam room to help draft notes.
What Prior Authorization Transparency Should Look Like
In formal comments to CMS on their proposed rule, we recommended payers be required to publicly report PA metrics and provide specific, actionable reasons for every denial. We also urged CMS to maintain the October 1, 2027, deadline for payer compliance so the industry moves in lockstep rather than creating a patchwork of fixes. With clear metrics on PA status, response times, denial and reversal rates, and disclosure of AI’s role in the decision, physicians and patients could finally see what’s happening inside the process.
Unfortunately, rulemaking won’t resolve this situation. The infrastructure behind e-prescribing was built for a simpler transaction—send a script, fill a script—not for the web of rules, exceptions, and approvals that PA now requires. Reporting requirements can tell providers a delay happened, but they can’t fix the plumbing that caused it. What’s missing is a connective layer linking providers, pharmacies, PBMs, and patients so that status, reasons for denial, and appeals don’t get stuck in portals and fax queues. Industry is starting to respond to this need.
My airline app works because airlines, air traffic control, and airports all agreed to share data in real time. Prior authorization needs that same agreement. Until providers, pharmacies, and payers are reading from a common, transparent feed, patients will keep sitting at the gate without the information they need to guide the next leg of their journey.
Within adult hematological oncology, chronic lymphocytic leukemia (CLL) represents one of the most frequently diagnosed forms.
It’s especially widespread among patients in Western countries.
Over the past decade, approaches to choosing an initial treatment have been reviewed, changed, and improved. One of the effective CLL treatment types involves the use of Bruton tyrosine kinase (BTK) inhibitors. It may occasionally promise long-term outcomes. Read more to learn about clinical findings from the SEQUOIA study.
Within adult hematological oncology, chronic lymphocytic leukemia (CLL) represents one of the most frequently diagnosed forms. It’s especially widespread among patients in Western countries. Over the past decade, approaches to choosing an initial treatment have been reviewed, changed, and improved. One of the effective CLL treatment types involves the use of Bruton tyrosine kinase (BTK) inhibitors. It may occasionally promise long-term outcomes. Read more to learn about clinical findings from the SEQUOIA study.
The SEQUOIA Trial
The SEQUOIA Zanubrutinib trial evaluated Zanubrutinib across several patient cohorts with different clinical and genetic characteristics. It involved the collection of enough clinical data and helped researchers provide valuable guidance when choosing initial intervention.
This is a global phase 3 study comparing Zanubrutinib with a combination of Bendamustine and Rituximab in patients with CLL and SLL (small lymphocytic lymphoma). The eligibility criteria included patients of 65 years and older alongside younger participants who had health comorbidities. They were enrolled in the study at various international medical facilities.
The study design included several distinct patient cohorts:
Cohort 1. Evaluation of treatment-naive patients without del(17p), randomized 1:1 to receive either Zanubrutinib or Bendamustine in combination with Rituximab (stratified by age, Binet stage, geographic region, as well as immunoglobulin variable region heavy chain (IGHV) mutational status.
Cohort 2. Evaluation of non-randomized monotherapy with Zanubrutinib in patients with the high-risk del(17p) genetic abnormality.
Cohort 3. Evaluation of Zanubrutinib in combination with Venetoclax in treatment-naive patients with CLL/SLL, including those with high-risk genetic features.
Progression-free survival, evaluated via Independent Central Review, served as the primary endpoint for the randomized arm of the study.
Biological Mechanisms and Target Precision
Inside the microenvironment, malignant lymphocytes lean on BTK-driven receptor cascades to stay alive. Targeted inhibitors step in to break that signaling loop. By cutting off downstream survival cues at the enzymatic level, these agents drive leukemic B-cells into apoptosis and slow down CLL advancement.
When it comes to Zanubrutinib, it was primarily designed to provide higher binding selectivity compared to previous inhibitors. Second-generation BTK inhibitors focus on minimizing possible unwanted interactions with off-target enzymes. This particularly concerns EGFR (epidermal growth factor receptor), ITK (interleukin-2-inducible T-cell kinase), and TEC (tyrosine kinase expressed in hepatocellular carcinoma).
Less selective agents can cause unwanted side effects in surrounding benign tissues. Greater precision in targeting helps medical professionals predict long-term treatment tolerability. Besides, it aims to reduce the incidence of off-target cardiac complications. Based on clinical trials, off-target binding to ITK and TEC kinases is often referred to the one connected with such risks as bleeding and/or gastrointestinal disturbances. So, selective molecular designs help reduce the drug-induced side effects. As a result, a patient can tolerate continuous oral therapy for much longer.
Efficacy and Survival Findings
Extended monitoring in the SEQUOIA trial underscores the lasting efficacy of Zanubrutinib over standard chemoimmunotherapy. While the control group reached a median progression-free survival of 44.1 months at five years, the Zanubrutinib arm has not yet met its median. Yielding an impressive hazard ratio of 0.29, selective BTK inhibition provided a reliable, reproducible benefit across diverse patient populations.
As for the 6-year update, around 74% progression-free survival rate with Zanubrutinib against 32% with chemoimmunotherapy was observed. The analysis showed an approximately 72% relative reduction in the risk of disease progression or death with Zanubrutinib. As a result, it’s possible to speak of durable disease control across multi-year evaluation periods.
Response depth favored targeted therapy over the long haul, with Zanubrutinib demonstrating a 98% overall response rate compared to 89% in the Bendamustine-Rituximab group. Despite that efficacy gap, 60-month overall survival rates were virtually identical – 85.8% for Zanubrutinib and 85% for chemoimmunotherapy, reflecting the impact of successful salvage treatments in the control arm.
The switch to effective second-line targeted therapies often evens out overall survival rates in leukemia trials. Continuous BTK inhibition prevents early relapse and prolongs the duration of the initial response. Response duration data strongly favored Zanubrutinib over six cycles of chemoimmunotherapy.
Safety Profile
Long-term safety monitoring confirms that highly selective BTK inhibition remains well-tolerated over many years of treatment. Researchers didn’t identify any new or unexpected side effects during long-term follow-up. Low discontinuation rates indicate acceptable long-term tolerability of the drug among elderly patients. Finally, long-term safety monitoring remains critically important for continuous oral oncology treatment protocols.
In the study, cardiovascular events were monitored throughout treatment, including atrial fibrillation and hypertension. Greater selectivity for BTK may help reduce some off-target effects associated with less selective BTK inhibitors. The reduction in cardiovascular risks allows professionals to safely treat elderly patients with pre-existing heart conditions. Incidence of neutropenia and secondary infections was systematically monitored throughout the study. Blood counts and infection risk remained important considerations during long-term treatment.
The treatment of high-risk molecular subtypes requires targeted strategies that circumvent traditional mechanisms of resistance to chemotherapy. Patients with 17p deletion or TP53 gene mutations have long had poor outcomes with chemoimmunotherapy. These specific genetic abnormalities disrupt the normal apoptosis pathways in leukemic cells, which are mediated by the p53 protein.
Traditional cytotoxic chemotherapy is unable to effectively destroy p53-deficient cancerous lymphocytes. High-risk genetic profiles require the use of targeted, non-cytotoxic treatments to ensure long-term disease control. Clinical trial results have confirmed that Zanubrutinib provides durable efficacy in high-risk genetic subgroups. Zanubrutinib has also demonstrated a sustained prolongation of progression-free survival in patients with high-risk del(17p) abnormalities. Benefits in terms of progression-free survival were also consistently maintained in both the IGHV-mutant and IGHV-wild-type patient cohorts.
Clinical Practice Implications
The long-term SEQUOIA results support Zanubrutinib as an effective first-line treatment option for CLL. Hematologists now have access to robust, multi-year data supporting selective BTK inhibition. The expanded data provide greater clinical confidence when treating frail or elderly patients. Physicians can confidently incorporate these results into their routine treatment planning for patients. This article is for informational purposes only and does not substitute for professional medical advice. If you are seeking medical advice, diagnosis or treatment, please consult a medical professional or healthcare provider.
A fasting insulin of nine is unremarkable on paper. So is a five. But a patient who moves from five to nine over three annual panels is telling a different story than one who has held steady at eight for a decade, even though both sit inside the same reference range that day. A reference range says whether a value is abnormal today, not where it’s headed. In midlife care, direction carries more weight than the cutoff.
That’s the shift preventive medicine needs to make, and midlife women’s health is where it shows up first. Most panels are still ordered as single events and read against a population range built for someone else’s baseline. A woman’s own prior values are the better comparator.
A 46-year-old referred for a routine cardiovascular check has an LDL-C of 118, comfortably inside range, nothing on that line asking for action. But her fasting insulin has drifted from six to 11 over three annual draws, still technically normal, and her triglycerides have climbed too. That combination, rising insulin and rising triglycerides, is exactly where LDL-C stops being trustworthy. LDL-C estimates how much cholesterol her particles carry; ApoB counts the particles themselves. In patients like her, the two often split, the particle count running ahead of the cholesterol estimate.
A 20-year cohort from the ATTICA study found that when the two disagree, cardiovascular risk follows ApoB, not LDL-C (NCBI). A single ApoB draw would show where she stands. Three draws, rising alongside her insulin, are what move her from watchful waiting to a statin conversation a year earlier than LDL-C alone would prompt.
Anti-Müllerian hormone works on the same logic, with a different clock. Two women in their mid-40s can post nearly identical single AMH values and be on very different timelines. Drawn again a year later, the number becomes a forecast rather than a snapshot. A woman whose AMH has fallen by half in that window is likely closer to menopause than her age suggests, and the conversation about bone density and cardiovascular risk should start now. A woman whose second draw barely moved has more time, and raising it early wastes a visit neither of you needed to spend. Research tracking AMH decline over time has found it improves menopause-timing prediction beyond age or a single value alone (NCBI). The trajectory, not the birthday, should set that timing.
The fix is discipline, not volume. For every marker on a midlife panel, a clinician should be able to name the decision it informs and the interval at which retesting would change that decision. Annual works for most. A monthly recheck mostly captures normal biological and assay variation, not real change; a genuine intervention earns an 8-to-12-week recheck, then the panel returns to annual. Broad, undirected hormone or sensitivity panels do the opposite of what they promise, producing more results than a clinic can act on while an ApoB of 118 sits unaddressed.
Trajectory reading has one hard requirement. Results have to live in one place, comparable across the labs and reference ranges that generated them. I described how we built toward that, including a full worked panel, here. Whatever system a clinic uses, a clinician reviewing a midlife panel should see the pattern across years, not just the flags from one draw; the decision about what to do with it stays with the physician.
Midlife medicine already has the data for this. What’s been missing is the habit of reading it as a trend instead of a test result.
At 8 a.m., a patient access team opens its phone queue to dozens of people asking familiar questions. Has my referral gone through? Can I move tomorrow’s appointment? Where should I go for my procedure? Did the pharmacy receive my prescription?
Many of these patients have already received a text, a portal message, an email, or an automated call. The communication reached them, yet it didn’t provide enough context or a clear way to complete the next step. The inbound call is the patient’s attempt to finish a process the organization left open.
This pattern creates a hidden access problem. Staff spend time resolving repetitive requests while patients with complex needs wait in the same queue. When healthcare organizations shift from engagement to orchestration, they can manage operational demands while improving patient outcomes at scale.
The call often begins somewhere else
Phone demand usually reflects an earlier breakdown in the patient journey, like a reminder omitting preparation instructions, a portal notification announcing a result without explaining when the clinician will follow up, or a referral moving between organizations without a clear status update for the patient.
Clinicians already feel the effects of the growing volume of patient-initiated messages. More portal messages can mean more after-hours time spent reviewing charts, responding to patients, and closing care loops. Clinicians who receive the highest volume of messages spend roughly 2.6 additional hours each week in the EHR after work compared with those who receive fewer messages, adding to the administrative burden that can contribute to burnout.
Calls, portal messages, and other patient requests often stem from the same underlying sources of confusion, reinforcing the need to address those issues earlier in the patient journey.
Five steps to reduce avoidable inbound demand
Health systems can address the burden by redesigning a small number of high-volume journeys. The following steps create a practical starting point:
Categorize calls by reason and journey stage
Teams need a consistent way to label why patients call. Categories should connect each contact to a journey stage, such as scheduling, pre-visit preparation, referral management, post-visit follow-up, billing, prescriptions, or test results.
A weekly review can reveal where demand clusters and which issues produce repeated contacts. That view helps leaders prioritize upstream fixes that can reduce avoidable demand and give staff more time for higher-value work.
Rewrite outbound communication around the next action
Every message should answer three questions:
Why am I receiving this?
What do I need to do?
What happens next?
Clear language, sent at the right time, via the patient’s preferred channel, reduces the effort required to understand a message. Those principles should shape every channel in the patient journey.
Give AI permission to resolve routine requests
AI can contain demand when it can complete low-risk, well-defined tasks within approved boundaries. Examples include confirming an appointment, offering eligible rescheduling options, repeating preparation instructions, checking a documented status, or sending a secure link to the correct form.
The workflow needs identity verification, permission controls, auditability, and escalation rules. An AI-generated response that sounds helpful while leaving the task unfinished will usually create another contact.
Preserve human escalation for complexity and urgency
Regardless of the situation, patients must have a clear path to a person at any point in the process. Should that scenario arise, the system should understand how to route those requests with the relevant history attached, so staff don’t ask patients to start over.
This approach also supports employee capacity. The AMA’s guidance for reducing clinicians’ inbox burden recommends eliminating low-value work, automating routine tasks, and routing requests to the appropriate team member. Healthcare organizations can apply the same principles to patient calls and digital requests, reducing avoidable work before it reaches staff.
Measure resolution and patient progress
Average handle time and call abandonment remain useful operational measures. Leaders should pair them with measures such as repeat contacts, first-contact resolution, appointment attendance, and referral closure. These metrics provide a clearer picture of whether an interaction met the patient’s needs and advanced their care.
Equity measures also matter. Organizations should review whether patients who use different languages, have disabilities, lack portal access, or prefer the phone receive comparable resolution and follow-through.
A practical example: imaging preparation
Consider a patient scheduled for a diagnostic scan. The organization knows the appointment time, scan type, and prep requirements—as well as authorization status, location, and the patient’s language and channel preferences. An orchestrated workflow can use that context to send the right instructions at the right time and offer a direct path for common changes.
If authorization remains incomplete, the system can avoid sending a generic confirmation that creates false certainty. It can provide an accurate status, notify the responsible team, and tell the patient when to expect an update—and if the patient reports a clinical concern, escalate the interaction immediately.
This kind of coordinated journey can prevent calls, reduce failed appointments, free up staff time, and help patients arrive prepared. It also illustrates the value of orchestration: communication, data, workflow, and human support work together to complete a care step.
Access improves when the tool owns the next step
Healthcare organizations will continue to receive inbound calls, and many of those conversations will remain essential. The opportunity lies in removing the routine uncertainty that crowds the queue and asks patients to coordinate their own care.
Healthcare organizations manage an enormous volume of documents, from patient intake forms to discharge summaries. Automation helps simplify by digitizing and streamlining document workflows. Understanding how an automated system supports healthcare document management can help healthcare providers adapt to meet growing operational demands.
Automating Document Creation
With 6,100 hospitals in the U.S., healthcare providers need fast, reliable ways to produce documents. Automating document creation helps keep pace with this demand by producing standardized documents quickly and consistently.
Predefined templates automatically populate documents with information from electronic health record (EHR) systems, patient portals or digital intake forms. By standardizing the creation process, healthcare teams can reduce manual input and maintain consistency across records.
Streamlining Document Processing
An average hospital produces 137 terabytes of data each day. Yet approximately 80% exists in unstructured formats, making it difficult to organize, process and extract meaningful insights. Healthcare document automation enables organizations to efficiently classify, route and process essential information. A coordinated system reduces administrative complexity while making data more accessible for decision-making.
For instance, administrative teams can use automated workflows to direct insurance forms to billing teams or send laboratory reports to requesting physicians. They can also add signed consent forms to a patient’s digital record without manual intervention.
These systems notify relevant staff when they need to approve documents and track their status. Teams can address bottlenecks that slow healthcare operations, improving turnaround times and strengthening coordination between departments.
Improving Document Storage and Accessibility
A centralized healthcare document automation system stores digital documents in a single, secure location. It helps maintain organized patient records, giving professionals faster access to information.
Teams can index documents using patient identifiers, document types, dates or other searchable metadata to speed up retrieval. Automated filing reduces the risk of misplaced or duplicated records while supporting version control, allowing staff to access the most current information.
Blockchain can also strengthen automated healthcare document management by creating secure and immutable records of document activity. The technology records changes throughout the document’s life cycle, helping teams verify data integrity and maintain a reliable history of updates.
Best Practices for Healthcare Document Management
Healthcare document automation works best when organizations combine technology with thoughtful workflow design and governance. By establishing clear management practices, healthcare providers can create a stronger foundation for managing healthcare information.
Improve Efficiency Through Standardized Workflows
Medical teams often handle documents across multiple departments, systems and processes. Establishing a consistent approach streamlines coordination.
Map existing document workflows: Review current processes to identify unnecessary steps, approval delays and manual handoffs. Understanding existing workflows helps teams target areas where automation can provide the greatest impact.
Define ownership and responsibilities: Assign specific roles for document creation, reviews and approvals to ensure teams understand who manages each workflow stage.
Establish service standards for document handling: Set expectations for turnaround times, review cycles and escalation procedures to manage priorities and maintain consistent performance.
Track workflow performance metrics: Monitor indicators such as processing times, completion rates and error frequency to evaluate effectiveness and identify opportunities for improvement.
Enhance Accuracy With Automated Data Validation
Reliable documentation depends on capturing complete and accurate information. Automated validation helps management teams identify issues early and maintain consistent records before information moves through clinical or administrative processes.
Set required field checks: Configure systems to flag missing or incomplete information before teams finalize documents, preventing gaps that could affect record quality.
Standardize data formats: Apply consistent formatting rules for fields like dates, patient identifiers and medical information to reduce inconsistencies across records.
Use duplicate detection tools: Implement automated checks that identify repeated or conflicting entries, helping teams maintain reliable records.
Review validation results regularly: Analyze common data errors and update validation rules to address recurring issues and improve documentation accuracy.
Connect document automation with EHR systems: Retrieve accurate patient information by linking automated workflows to trusted data sources.
Strengthen Compliance With Secure Document Governance
Because healthcare organizations manage sensitive patient information, data security is a priority. In 2025, the HHS Office for Civil Rights received reports of over 700 healthcare data breaches, indicating the need for stronger safeguards for electronic health information. Establishing controls helps organizations meet compliance and regulatory obligations.
Apply encryption and security safeguards: Protect digital records with encryption and other security measures to prevent unauthorized access to patient information.
Automate retention and disposal procedures: Establish document retention rules that align with regulatory requirements, ensuring teams store records for the appropriate duration and dispose of them securely.
Conduct training: Help staff learn and apply secure document-handling practices.
Transforming Healthcare Document Workflows With Automation
As healthcare continues its digital transformation, automating document workflows is a step toward more efficient operations. Adopting healthcare document automation alongside a well-structured healthcare document management strategy can ensure better outcomes for healthcare professionals and patients.
