Increasing Speed and Accuracy of Electronic Health Record (EHR) Note Taking

(Imagen 4)

Electronic health records (EHRs) can be a pain in a particular body part. But Tebra and other firms offer ways to automate portions of the record keeping process. And if these automations work, they also increase EHR accuracy.

I’ve previously talked about how an EHR can incorporate a patient identifier, derived from the facial recognition of the patient. This prevents misidentification, which can cause severe problems if the EHR data is applied to the wrong patient.

But how do you populate the rest of the EHR?

According to Tebra, with EHR+.

“Tebra’s EHR+ platform connects care, billing, scheduling, and more. Built-in AI speeds up notes, handles reviews, and automates repetitive admin work.”

Tebra’s AI Note Assist claims to “[t]urn spoken or written words into structured notes,” presumably using natural language processing (NLP) and machine learning specifically trained on medical record keeping.

But always remember to comply with health, privacy, and other relevant laws.

“Before using AI-powered scribe tools, review applicable laws and regulations in your practice’s jurisdiction regarding electronic recordings, AI scribes, and informed consent. Some jurisdictions require verbal or written consent prior to any form of ambient documentation. Check your state board or consult legal counsel for guidance.”

And watch the video.

But Tebra and its competitors face a problem: you can only scream “AI” for so long before your prospects ask, “So what?” 

Bredemarket can create written content for tech marketers that attracts prospects.

Contact Bredemarket.

Stop losing prospects! Use Bredemarket content for tech marketers
Content for tech marketers.

Meeting the Current Characters in the Bredemarket Saga

(Imagen)

I’ve told portions of this story at least twice before, but not all of it. Here is my February 2021 description:

“You’ve heard the saying about eating your own dog food. That statement bored me, so I started talking about eating your own iguana food. Eventually I tired of iguanas and pivoted to wildebeests.”

A wildebeest outside an imposing building with a locked gate.
The wildebeest.

Even though the wildebeest has become Bredemarket’s primary animal, the iguana still hangs around, usually playing the role of a bad hombre.

The iguana.

Some time after that the wombat started to appear, primarily to do things that the wildebeest found difficult because of his anatomy.

The wombat.

So the wildebeest, wombat, and iguana let Bredemarket brand itself a little differently than the myriad of firms that pride themselves on eating their own dog food.

And I don’t even know what wildebeests eat.

AI-Analyzing Computed Tomography (CT) Scans

From Philips’ announcement of a case study.

“Imagine a radiology department with over one hundred staff members analyzing thousands of CT images daily. Every minute of efficiency gain and workflow improvement means radiologists can spend more time with patients. Several years back, the radiology department at the Hospices Civils de Lyon (HCL) in France began a research collaboration journey with Philips to advance task automation using AI. Many of the algorithms generated in this clinical partnership are now available to radiologists everywhere via Advanced Visualization Workspace….

“‘“We perform many chest CT scans in the hospital. Most patients only need a scan of a specific body area: the neck, thorax, or abdominal. The more specific we can target, the better we are able to minimize the X-ray dose. In our first study, we developed an algorithm to classify the thorax, abdominal, or neck during a thoracic CT scan. This method has helped us raise awareness among radiology technicians to limit exploration to the region of interest only. Reducing the margin could reduce the X-ray dose on average by 20 per cent.’”

An additional result? Tasks that used to take minutes or hours now only take seconds.

For more information, see https://www.philips.com/a-w/about/news/archive/case-studies/co-creating-ai-solutions-that-free-up-time-to-spend-with-patients.html

There Are Patches to Protect from the PerfektBlue Automotive Vulnerability

(Imagen 4)

Why is the “PerfektBlue” (with a K) automotive vulnerability in the news?

And why are people more likely to read the cyber press alarms that emphasize the vulnerability, then the reports that emphasize the fix?

Unlike the cyber press, I will report the fix first.

OpenSynergy 

For example, OpenSynergy, author of the Blue SDK for remote Bluetooth access to automobiles, issued this statement on July 9, 2025:

“OpenSynergy was notified In May 2024 by PCA Cyber Security (formerly PCAutomotive) about a couple of potential vulnerabilities (named PerfektBlue) in Blue SDK. 

“We are pleased to confirm that corrections were applied and fixed the potential vulnerabilities, and relative patches were supplied to our customers in September 2024.”

PCA Cyber Security

Why was OpenSynergy addressing a 2024 vulnerability in 2025? Because the cybersecurity press is just now reporting on the vulnerability…because PCA Cyber Security intentionally refrained from publicizing it.

“[W]e reported all the findings to OpenSynergy in May, 2024. They acknowledged, and rolled out patches to the customers of BlueSDK in September, 2024. It was decided to wait until all of OpenSynergy customers applied the patches before this publication.

“To protect against PerfektBlue, you can update your system or disable the Bluetooth functionality entirely.”

CyberScoop

What can happen if you don’t patch your car? Here is what CyberScoop said:

“Successful exploitation of the infotainment system could theoretically provide attackers with access to GPS tracking, audio recording capabilities, and contact information. Researchers also note that weak network segmentation could potentially allow attackers to access other vehicle systems, though this would depend on additional vulnerabilities and the specific architecture of each vehicle.”

CyberScoop also clarified why the vulnerability wasn’t revealed back in September 2024 when the patches were released:

“[T]he complex nature of automotive supply chains has created challenges in patch distribution. Some original equipment manufacturers had not received the necessary updates as late as June 2025, nearly a year after the initial disclosure. This delay prompted the researchers to proceed with public disclosure while withholding the identity of the fourth manufacturer.”

The three identified manufacturers and systems are Mercedes-Benz’s NTG6 system, Volkswagen’s MEB ICAS3 unit, and Skoda’s MIB3 system.

Mercedes-Benz, Skoda, and Volkswagen

Oddly enough, I can’t find any statements from the three known manufacturers. You would think they would jump in front and say “here’s how to apply the patches”…or better still, “we have already applied the patches.”

But so far I haven’t found any manufacturer statements.

From https://www.vw.com/en.html

A missed opportunity.

Why?

People are more likely to read the cyber press alarms that emphasize the vulnerability, then the reports that emphasize the fix.

After all, gotta get those clicks.

Returning to Misspellings in AI-generated Images

There is a LinkedIn user who writes and titles posts on various technical topics…and then ruins the posts by illustrating them with an AI image generator and including the post title in the image.

Why are they ruined? Because some I mage generators can’t spell. For example, one of the images includes the so-called word CYBERCEERITYY.

If you want your AI-generated images to include correctly-spelled words, either use short simple words or use large multimodal model (LMM) image-text generators. See my earlier post, “Text Generation in Images? Use an LMM” at the https://bredemarket.com/2024/07/30/text-generation-in-images-use-an-lmm/ URL.

Apparently Google Gemini’s Imagen 4 incorporates LMM capabilities; I fed it a complex textual title and it was spelled correctly in the resulting image.

(Imagen 4)

The Joy of Spreadsheets

Spreadsheets are wonderful things. Not just for numbers people (the real CPAs). But also for words people (the content-proposal-analysis folks).

Whether you use Microsoft Excel, Google Sheets, or something else, the ability to sort the data in multiple ways is a godsend.

I am gathering requirements for a Bredemarket client, and my spreadsheet allows me to logically sort and group the requirements.

Better than taking time to cut and paste blocks of text to order them properly.