Why Your Clinical Operations Teams Are Always Behind?


Why Your Clinical Operations Teams Are Always Behind (And What AI Does About It)?

It is Thursday afternoon. Your clinical operations coordinator has been in the data since 9 AM. A prior authorization status changed Tuesday. Patient volume shifted Wednesday. The throughput report you need for the Friday leadership review is not going to reflect either of those things.

This is a data latency problem. And it is happening in clinical operations teams everywhere.

USM Business Systems works with mid-market health systems, specialty pharmacy operators, and pharma/CRO organizations to build AI-powered clinical operations visibility systems. What we see consistently: the gap is not how skilled the team is. The gap is how fast the data gets to them.

Why Clinical Operations Teams Are Always One Step Behind?

Most clinical operations teams work from snapshots. They pull from the EHR. They check the prior auth queue. They reconcile payer status updates from fax confirmations and portal logins. They build the picture manually, then brief leadership off that picture.

By the time the picture is complete, it reflects what happened three days ago.

When a payer changes authorization criteria, patient census spikes, or a specialty drug hits a procurement delay, the first signal is often a missed commitment or a denied claim, not a dashboard alert.

The teams with the best clinical outcomes and the strongest revenue cycle performance are the ones with the fastest signal-to-decision cycle.

The organizations closing that gap are building continuous signal coverage into the operation itself.

What AI Actually Changes in Clinical Operations?

AI does not replace clinical judgment. What it eliminates is the manual work that sits between the data and the judgment.

Here is what that looks like in practice:

  • Prior authorization statuses update automatically when payer portals or EDI transactions confirm decisions, without a coordinator manually checking five payer portals each morning
  • Pharmacy intake processing runs on live prescription data and formulary signals, not the last batch pull from overnight
  • Denial risk flags surface in the morning standup, before the claim goes out and generates a write-off
  • Scenario modeling on patient volume changes or formulary shifts takes minutes, not the next planning cycle

The operations leader does not spend Wednesday building the Thursday report. The report is already built. They spend Wednesday making decisions.

The Build vs. Buy Question

Off-the-shelf healthcare operations platforms make assumptions about your EHR configuration, your payer mix, and your workflow architecture that often do not match reality. A mid-market health system running two EHRs from a merger and a prior auth workflow that still routes through fax is not going to get clean output from a platform built for median-case infrastructure.

A custom-built clinical operations AI agent is trained on your actual data schema, your payer relationships, your authorization criteria and denial patterns. It knows what your operation looks like, not what the average operation looks like.

The build timeline is typically 8–12 weeks for an initial deployment. The ROI window, based on the engagements USM has completed, is 6–12 months, after which the system operates at a fraction of the cost of the coordinator hours it replaces or augments.

What the Transition Looks Like?

For most clinical operations teams, the starting point is one problem they already know they have.

Prior auth backlogs that do not reflect actual payer decisions. Pharmacy intake processing that is always 24 hours behind the prescription. Denial trends that surface after the write-off instead of before the claim.

Pick one of those. Build the agent around it. Measure the time and decision quality improvement. Then expand.

That is the architecture USM – AI app development company, uses with every healthcare operations engagement. Scoped in two weeks. Built in 8–12. Measured from day one.

 

See how USM’s Clinical Operations AI works in a 30-minute live walkthrough. Request a demo at usmsystems.com.

 

How to lay the bird trap in Arc Raiders to start the Avian Alarm project


Arc Raiders‘ new Avian Alarm project is almost just like any other project, demanding you donate a bunch of random materials to complete each stage. However, the first step is actually more like a quest, where you’ll have to lay a bird trap next to buoys in the new Riven Tides map.

Once you’ve done this initial step checking on the flock, you’re back to finding resources to equip your birds with everything they need. Which is actually just training to look out for signs of danger, like seismic activity. Having a bird brain is handy, it turns out.

How to Add LUTs on YoloBox Extreme


How to Add LUTs on YoloBox Extreme: Live Color Grading Made Easy

Can you add LUTs to the YoloBox Extreme? Yes—and it’s easier than you might think.

In this video, PhotoJoseph demonstrates how to load a custom .cube LUT file, adjust its intensity, and apply real-time color grading directly to your live camera feed.

Whether you’re shooting in V-Log, S-Log, or another flat profile, the YoloBox Extreme lets you enhance your image on the fly—no external monitor or software required.

Watch the demo to see how simple it is to upgrade your live production with built-in LUT support.

Learn more about YoloLiv YoloBox Extreme HERE

Learn more about YoloLiv HERE

Built to Adapt: Why Enterprise Flexibility Starts with IT Unification


JumpCloud Webinar Series


Built to Adapt: Why Enterprise Flexibility Starts
with IT Unification

calendar-iconThu / Mar. 19 / 12:00 PM (ET)

Overview

To keep scaling your enterprise, you have to be ready for anything. Growth requires adaptation. And adaptation requires a tech stack that can bend without breaking.

True flexibility starts with a secure, adaptable IT foundation. Not a siloed patchwork. Unification is the answer. It aligns your technology with your business goals by transforming traditional administrative chaos into control.

Watch this special event with Google Workspace and JumpCloud to explore how the Work Transformation Set closes the enterprise unification gap. Your productivity suite isn’t just about tooling—it’s the foundation of your enterprise’s ability to scale with flexibility and confidence.


In this webinar you will learn:

  • Real-world data on how disconnected IT systems drain budgets and limit growth
  • How to extend your Google identities to manage secure access for every device and application across your enterprise
  • A practical look at how to dismantle your legacy patchwork and implement a unified strategy that drives real business value


Meet the Speakers:

  • Joel-Rennich

    Chris Tate

    Principal Strategist

    JumpCloud

  • Cameron-Wallin

    Kristin Aliberto

    Google Workspace Architect

    Google Workspace

Watch Now

Watch Now

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About us Section - jumpcloud

About JumpCloud

JumpCloud is a cloud-based, unified IT management platform that centralizes identity, access, and device management, often serving as a modern, cloud-native alternative to Active Directory. It allows organizations to manage user identities, secure devices (Mac, Windows, Linux, mobile), and control access to resources from a single console, supporting hybrid and remote work.

The post Built to Adapt: Why Enterprise Flexibility Starts with IT Unification appeared first on Tech Research Online.

The G512 X is Logitech’s most advanced and customizable gaming keyboard yet


Thanks to the adoption of features like rapid triggers, analog switches and TMR sensors, the tech in fancy gaming keyboards has changed surprisingly quickly in the past few years. So to keep up with the pace of development, Logitech is putting a bunch of advanced components in its latest flagship offering — the G512 X — to create what may be its most configurable keyboard to date.

Available in both 75 and 98 percent layouts, the G512 X is based on a novel design that supports both mechanical and analog switches. Out of the box, every key features PBT keycaps and uses one of Logitech’s MX mechanical switches. However, for important buttons like WASD, users can swap in up to nine bundled Gateron KS-20 magnetic analog switches. This means that when combined with the keyboard’s 39 tunneling magnetoresistance (TMR) switch beds, users can enable support for customizable rapid triggers and multipoint actuation, complete with five bundled second actuation pressure point (SAPP) rings in case you need even more control over every keystroke. The one potential downside is that Logitech only added TMR switch beds to the left side of the keyboard, so if you prefer more unusual keybinds, you won’t have quite as many configuration options.

The 39 TMR sensors on the left of the keyboard are the ones that support the included TMR switches.

The 39 TMR sensors on the left of the keyboard are the ones that support the included TMR switches. (Logitech)

Meanwhile, to meet the demands of competitive gamers who need lightning-fast response times, Logitech added an 8K polling rate. This includes both 8K reporting and processing to deliver input times of just 0.125 milliseconds. Elsewhere, the G512 X comes with dual dials, a large RGB lightbar and game mode presets — all of which can be tweaked in Logitech’s G Hub app.

However, the coolest thing about the G512 X might be all the handy little details scattered across the keyboard. For example, its adjustable feet serve double duty as keycap and switch pullers, so when you want to adjust your layout, you won’t need to go searching elsewhere for the right tool. On top of that, there is built-in storage for the nine included magnetic analog switches and five SAPP rings, so you’ll always have them on hand if you want to make changes. Finally, while it is an optional accessory, Logitech created a transparent palm rest with a laser-etched surface that will enhance the G512 X’s onboard RGB lighting.

Logitech's optional palm rest really boosts the output of the Logitech G512 X's front-mounted RGB lightbar.

Logitech’s optional palm rest really boosts the output of the Logitech G512 X’s front-mounted RGB lightbar. (Logitech)

Unfortunately, at $180 for the 75 percent layout or $200 for the 98 percent model, the G512 X is a bit pricey. And unlike some other members of Logitech’s G5 family, there’s no option for a wireless variant. But if you want a keyboard with practically all the latest tech and a ton of customizability (including the ability to select linear, tactile or clicky switches), the G512 X is a very intriguing option for demanding gamers.

The G512 X is available directly from Logitech today, with wider availability slated for May 2.

Eastern Front Free Download (v1.02.001.2)


Trench Lord Eastern Front Preinstalled Worldofpcgames

Trench Lord: Eastern Front Direct Download

The enemy has invaded the territory, the motherland needs you, soldier! Gather your troops and defeat all enemies!

Steel clashes! Smoke and fire fill the space between war machines!
Tank tracks tear through the earth, turret flashes light up the night sky, and the roar of steel beasts echoes across the battlefield. Face-to-face battles of firepower and armor, clashes of tactics and courage—every encounter has the power to change the course of the war.

Battlefield meat grinder! Lead your squad to crush the enemy’s offensive!
Muzzles roar, belts of bullets dance, and machine gun fire weaves a deadly iron net before the trenches! Lead your squad to break through enemy lines and tear their defenses!

Classic Campaigns: From Stalingrad to Kursk
Experience key battles on the Eastern Front of WWII, from the brutal Battle of Stalingrad to the high-stakes Battle of Kursk. Over 20 iconic WWII battlefields await you, covering urban combat, winter guerrilla warfare, armored confrontations, and more—capturing the full scope of the Eastern Front.

Orders Are Given, Troops Await Your Next Move
Command the battlefield from a squad-level perspective. Build defenses, consolidate positions, organize assaults, and break encirclements—every decision matters. Deploy squads, issue commands, and adapt your tactics to turn the tide of battle!

Features and System Requirements:

How to get the Saros Secret Ending


All Saros endings are listed here, including any secret endings that the game might have hidden, so you can be sure to get the full experience! Not only that, but if you’ve finished the game yourself, we also explain every ending and what it means for the story of Saros as a whole, with explanations for some of the game’s most significant questions. If you want to know more, we’ll explain everything in our full Saros endings guide below.

Warning: From now on the following guide contains major spoilers for the entirety of Saros! Read on at your own peril.

All endings in Saros

Endings in Saros

(Image credit: Housemarque / Sony)

There are two endings to Saros’ story, as laid out below:

  • Main Ending (aka, the bad ending)
  • Secret Ending (aka, the good ending)

GitHub Copilot shifts to usage-based pricing June 1 – why that’s no surprise


redcost-gettyimages-1542445208

asbe/ iStock / Getty Images Plus via Getty Images

Follow ZDNET: Add us as a preferred source on Google.


ZDNET’s key takeaways

  • GitHub shifts pricing for its flagship Copilot service.
  • Under the new AI Credit approach, if you run out of credits, you can’t use the service.
  • Users who expect to see far higher prices already hate the deal. 

It’s been an open secret that people haven’t been paying anything like the full cost for their AI services. The bill’s finally coming due. GitHub announced that as of June 1, 2026, all GitHub Copilot plans will shift to usage-based billing

This is a radical change from its current premium request unit (PRU) system. Going forward, users will consume monthly allotments of GitHub AI Credits based on token consumption, including input, output, and cached tokens at published API rates. In other words, GitHub is moving to a token-based pricing model. 

Smart people saw this coming. A week ago, GitHub blocked users from getting a new GitHub Copilot subscription. GitHub also began restricting the models available from its individual subscription plans, while dropping access to Opus models entirely. Price increases were clearly on their way. 

Why? According to GitHub, it’s no longer the same service. What was once a smart programming editor has evolved into “an agentic platform capable of running long, multi-step coding sessions, using the latest models, and iterating across entire repositories.” On top of that, “Agentic usage is becoming the default, and it brings significantly higher compute and inference demands.”

GitHub claims its current premium request model is unsustainable. After all, they stated, “a quick chat question and a multi-hour autonomous coding session can cost the user the same amount,” with GitHub absorbing escalating inference costs. The usage-based model is intended to maintain long-term service reliability.

The good news is that, for now, anyway, base subscription pricesremain unchanged. Copilot Pro is staying at $10 per month, and Pro+ is at $39 per month. However, these subscriptions will now include monthly AI Credits matching their dollar value. That is, Pro subscribers receive $10 in credits, while Pro+ users receive $39. I have no idea why GitHub felt the need to spell this out. 

Code completions and Next Edit suggestions will remain included without consuming AI Credits. Users on annual plans will continue with PRU-based pricing until expiration, when they transition to Copilot Free with upgrade options, or they can convert early to monthly plans with prorated credits.

Copilot Business, $19 per user per month, and Copilot Enterprise. $39 per user per month, maintain their current pricing while adding equivalent monthly AI Credits per seat. To ease the transition, GitHub will provide promotional credits for June, July, and August 2026: Business customers receive $30 per month, and Enterprise users receive $70 per month. 

However, and this is important, in the past, when you ran out of PRUs, you simply downshifted to a less capable model. With the new AI Credits approach, when you’re out of Credits, you’re out of luck. If you want to keep working, you’ll need to pay more for Credits. 

Organizations can benefit from pooled usage across teams, eliminating stranded capacity from individual unused credits. Administrators will gain budget controls at the enterprise, cost center, and user levels, with options to allow additional purchases or cap spending when included pools are exhausted.

GitHub plans to launch a preview of the bills in early May. This will give you a look at your projected costs before the new June bills come due. 

Many users aren’t waiting to dismiss this new pricing plan as a bad deal. As one Reddit poster put it, “I don’t see companies going to be all happy if they get a 50x larger bill. People really underestimate how many tokens they use.” Another shrugged, “They could’ve just shut down Copilot completely. Literally the only reason to stay is that you’re familiar with it and are not ready to invest 30 minutes of your life to get familiar with Claude code, Codex, or whatever.”

For all the grumbling, though, it’s not like the news is surprising. People who paid attention to AI’s growing costs — memory is more expensive than ever, and gigawatt datacenters don’t build themselves — knew this was coming. 

Other companies have already started to hike their rates. For example, OpenAI increased the cost for developers using its flagship GPT-5.2 model from $1.25 per input token in the previous GPT-5.1 to $5.75. In addition, Anthropic confirmed a de facto price increase for its Claude enterprise edition on April 15 when it moved from fixed pricing to a dynamic usage-based model. 

(Disclosure: Ziff Davis, ZDNET’s parent company, filed an April 2025 lawsuit against OpenAI, alleging it infringed Ziff Davis copyrights in training and operating its AI systems.)

Like it or lump it, the day of cheap AI is almost done. I expect costs to jump by 2 to 3 times by year’s end, and I won’t be surprised if prices end up far higher than that. 



The Valve-approved Half-Life remake is joining the Garry’s Mod family ‘by popular demand’



Sandbox fun times simulator Garry’s Mod has gobbled up pretty much every official Valve Source game into its toybox at this point, but there is land yet to conquer. Facepunch announced this week that the 20-year-old game’s next patch, planned for April 29, will finally bring Black Mesa into the fold.

“By popular demand and with approval from its developers, this update will be adding mounting support for Black Mesa in Garry’s Mod,” the blog post reads.

Spotify is now a fitness app too


In its quest to become an all-in-one app, Spotify is now breaking into the fitness app world by offering “guided workout experiences” and on-demand Peloton classes. Premium subscribers will get access to Peloton‘s library of more than 1,400 classes in the app, while both Free and Premium can browse curated playlists (they’re listed under the genre “fitness.”)

Spotify's Fitness section showing example workouts and video to follow along with.

Spotify

Spotify said the classes are primarily in English, but there are some options in Spanish and German. Like music and podcasts, Spotify lets you bounce between different devices for its fitness media, so you can start a video workout on your TV and switch to an audio-only version on your phone or smart speaker. Users can even download the classes for offline use.

The fitness category may feel like a sharp turn for Spotify, but the company said that nearly 70 percent of its Premium subscribers work out monthly and that fitness and workout content was one of the top use cases for its Prompted Playlist feature. Spotify has long been expanding its offerings outside of music, with its latest efforts giving users a way to buy physical books or create group chats.