Location

RelayMD focuses on being the bridge between traditional hardware devices for testing (urology, labs, etc) and your EHR. While not really an AI product, it does advertise its “software agent” as the middle man between your hardware systems and cloud based EMRs. With RelayMed you can automate the data entry of your lab technician and improve turnaround time by extracting results right into your EMR.

RelayMed also helps with lateral flow tests, entering results and creating reports automatically when they are completed. Lastly, RelayMed handles quality control and reference ranges to make it easier to maintain and report your results.

Overall this RelayMed is pretty straightforward for a product that has been around for over a decade. Many testing devices outside the hospital live outside the EMR, and the time and effort it takes to coordinate data entry is costly. If you are considering RelayMed the first step is likely to view their connected devices page and see if you are using a device on the list.

When it comes to pricing they offer a range from small to large practices. They offer a best price guarantee which is nice, although I am not sure how niche their product integrations are so pricing may not be that competitive in the market. I think ultimately their value comes down to the lab testing hardware you use and the time it currently consumes your team to enter and manage data from it.

In the world of AI this software product does feel a little dated. While moving data between systems is valuable, using intelligent models for data entry and additional functions is something many other companies are leaning into. Additionally I would not be surprised if future devices are more compatible with cloud systems as hardware companies work to modernize.

Overall if the price is right and the time savings for data entry on your devices is worth it, take the demo.

BrainCheck is an app that is focused on screening, assessing, and planning care of patients with early signs of cognitive impairment or decline. It works primarily on ipads and tablets in the waiting room or at home where patients participate in memory and aptitude tests to access their cognitive abilities. For many providers screening and testing for cognitive decline is a paper heavy process that often goes overlooked. With BrainCheck earning reimbursements for screenings and catching decline early both are made easy.

BrainCheck is a clinically approved FDA class 2 device that has been published multiple times by NIH and other journals during its decade lifespan. It works with primary care providers to increase revenue streams and range of care, as well as to comply with geriatric requirements. Additionally it is a tool for neurologists and behavioral care facilities to help patient assessment access and improve care planning.
When it comes to implementing BrainCheck they actually send an implementation specialist on site which is pretty uncommon nowadays. Additionally, they promise multiple EHR integrations but I could only validate they connect with Athena. When it comes to creating care plans and assessments I am unsure if they leverage AI as well as some competitors on the market for personalization and adaptiveness, but their solution is clinically proven to work.

Overall I think the cost of BrainCheck is justified if your patient base is up in age and would be eligible for reimbursement for cognitive screening. It's certainly an upgrade from paper, and has high reported patient satisfaction scores for the screening and planning of cognitive decline. While it may not be as flashy as some AI products in the mental health space, it is a huge win if you currently don’t screen or need help with creating care plans.

Patients.app is a surgery focused startup that wants to consolidate patient records all in one place. With Patients.app you can look up new and referred patients' entire digital footprint in order to create pre-op readiness reports and summaries. Their goal is to reduce the number of surgery cancellations and the time to prepare for surgery and specialist visits by capturing 95% of patient data available to clinicians pre-visit.

For clinicians this has a few benefits. It helps them to capture more revenue and save time reviewing patient records and tracking down faxes, creating better and more comprehensive care summaries than previously available. In fact, in a large-scale study vs medical residents, Patients.ai had an error rate of just .8%, compared to 2.4% by medical residents showing its ability to accurately capture data and create medical reports. Additionally, actions like pre-op reports, clinical trial candidacy, physician notes, and risk criteria assessments can all be automated by Patients.app.

For billing and coordination teams this reduces burden and helps to centralize disparate patient records. This allows for more efficient eligibility and authorization checks, as well as more accurate scheduling of surgeries for only qualified patients. Patients.app also aids with quality reporting and billing coding, giving an end to end pipeline of utility from pre-op to payment.

As far as I can tell, Patients.app is built with a best in class technical team, and has medical direction from former heads of a kidney transplant program. The team seems to have built a custom AI model for data digestion and the workflows of surgery centers and specialists, which outperforms other off the shelf competitors. If I have some concerns it's that I am not quite sure how they get such good data coverage, so make sure to verify in your demo the sources of data you work with (Epic, efax, third party apps) is covered and clarify exactly how Patients.app plugs in. Additional model training and information is publicly limited.

Pricing and contracting seems to be on a case by case basis, but Patients.app is a startup so they may potentially have some wiggle room to negotiate. Overall, if you run a surgery center or do a lot of specialty consults, this is a pretty intriguing software package. It seems user friendly, and well thought out just make sure in your demo to get some clarity on your specific data use cases as this may impact their ability to solve your needs.

This Chicago based startup recently finished YC with a goal to change dictation for behavioral health providers. Founded by a former army medic and white house intern on drug policy, this young and scrappy team is focused on reducing physician burnout in order to address the growing mental health crisis in the US. In their short time, they have already achieved quite a bit integrating directly with many of the top EMRs for mental health providers, and completing 10 successful pilots.

Perspectives advertises an implementation of under 30 minutes, and since it lives within the EMR can start being used the day it is installed. They specialize in ASAMs and biopsychosocials, and can fill out some of the most common forms in a standardized and compliant manner. You just talk and Perspectives takes care of the rest.

Now for the downsides. Compared to many dictation products I am unsure if this is actually leaps and bounds ahead on a technical level. While the team has some domain expertise which can go a long way, I doubt this product is more than a standard off the shelf transcription model with some fine tuning around it. Additionally pricing is not public, and for customizable notes they do not offer templates, or other features such as medical coding that are starting to become standard with dictation products.

That said, a bet on startups is usually a bet on the team. If you want to help them and maybe get in on a low cost pilot, this could be an interesting company to take a demo with. If you are looking for something that out of the box is trusted and verified at scale, perhaps look at some of our other dictation product reviews.

This YC backed startup is looking to automate credentialing through the use of AI. The idea is simple: upload your roster of providers and credentialing related documents, and Harbera takes care of the rest. From contracting to re-credentialing, Harbera helps billing and admin teams to be more efficient and make sure payments never get delayed due to lack of credentialing.

Since they are a startup, Harbera is as much a promise as it is reality. Built by two female Harvard grads, Harbera is marketed at NPs, MDs, and Dentists and seems to have a focus on dental practices based on some of their latest billing features. Since they are a startup there is not too much information on their relatively new company’s impact on customers, or things like case studies or pricing currently available pre-demo.

While this could be a red flag to some, the potential to get a good deal on a pilot is likely there and the potential to save you time and money could very well be there if you are constantly fighting to get new providers credentialed, or spot check in-network coverage. While they are integrated with no EMRs, many providers are credential with their billing company or independent of the EMR, so this might not be the biggest drawback.

If you have a lot of rotating part time providers or temp providers, I think this could be a good product to consider, as well as if you are starting your own practice and need help getting through credentialing. Many credentialing companies can be frustrating to work with, so I think giving AI a try for this could be a nice use case. Buyer beware though, this is a startup, so meet with the team and see if you trust them before moving forward.

The pitch for Magical is pretty straight forward, don’t hire a team to do your billing, use AI agents. With a library of custom agents for key tasks such as prior authorizations, credentialing, and payment posting, Magical has a range of custom built AI solutions to do the “soulcrushing” job of healthcare billing.

With Magical you can plug their agents directly into a range of EMRs and existing software you likely already use for billing and practice management. They have perhaps one of the biggest lists of integrations I have seen among vendors, and like to position themselves as the Zapier of healthcare billing. They advertise a lightning fast implementation, in under 3 weeks, and full transparency on the activity of their agents from go live. On Magical’s website you can actually start using their library of agents today which I found to be really eye opening as far as the role they could play in a medical practice.

Magical also offers a list of ancillary agents for non-medical use cases such as employee management and customer support. On their agent library they show you exactly how many instances of each agent are running live today, making it a pretty credible source compared to some of its competition.

Now for the downsides. While Magical does seem to perform well at specialized tasks and routine paperwork, I would be concerned about completely handing over my billing work to Magical and it likely needs an employee to monitor and assist it. Additionally, the list of integrations is massive and I would be curious just how they are ingesting and outputting data so aggressively across all these platforms. Their pricing is not public, but I do suspect it's a pay as you go model which could add up with complex agentic tasks if you’re not careful.

With that said, this is a really cool and impressive product. In many ways I think this is what the future of healthcare billing is and for many reasons hope it is. Matching payments, running benefit checks, and calling auths are all painful and costly activities that if automated have immense value to the practice. If you have a small in house billing team that's overwhelmed, I would have them take a demo with Magical and see if it works for them.