This is for a new product called AutoNotes.ai that will create progress notes for you for about $14+ per month.
I am tentatively interested in this and signed up for a free trial.
I have concerns (below) but am hopeful this continues to improve.
The system has no BAA agreement for HIPAA because they claim not to collect any PHI. This may be true.
Their terms of service and privacy policy may be amended at any time and the only notification provided will be on their website. I am weary of this now that I have been burned by such stealth changes by one of my own BAA subcontractors.
Information for each client will have to be entered from scratch each time as they do not store data about clients. For the free demo, it takes about 60 seconds to generate each note. You then cut and paste it into your EHR.
While they claim to collect no PHI, they do send SOME data of SOME sort to several tracking systems and data aggregators. At best, they are tracking YOU -- the clinician. At worst -- they may be sending some of the data you enter to data aggregators which -- hopefully -- do not have data from other sources to be able to pin down the individual clients you are describing.
DATA IS SEND TO THE FOLLOWING OUTSIDE TRACKING COMPANIES ON BOTH THEIR DATA INPUT PAGE & THE GENERATED NOTE PAGE:
PRIVACY BADGER BLOCKED:
connect.facebook.net
www.googletagmanager.com
s.gravatar.com
snap.licdn.com
i0.wp.com
GHOSTERY BLOCKED:
Google Tag Manager
LinkedIn Analytics
Facebook Connect
Gravatar
The following is an example of the note generated for a fake client with Acute Stress Disorder:
%GREEN = IN WHAT I REPORTED%
&RED = INVENTED BY AI, NOT REPORTED BY CLINICIAN&
BLACK = I HAVE NO STRONG OPINION
Subjective:
Client &reported increased levels of stress, particularly in the& %workplace. Described experiencing anxious mood and labile mood, but was able to demonstrate appropriate behavior and normal speech throughout the session. Client was self-reflective% and &engaged& %during the 45-minute video session%, %which allowed for a comprehensive exploration of the current challenges they face&. The client recognized the need to address these issues in order to improve their overall well-being.
Objective:
During the session, several areas were discussed. &Client was open and honest& about %feeling overwhelmed and stressed at work, further precipitating their anxiety. They were able to identify specific work situations that were particularly difficult for them to navigate. It was noted that the client was able to maintain self-reflective behavior during discussions,% which will be beneficial for making progress in therapy.
Assessment:
%The client is showing signs of progress in therapy, taking active steps to address and work through their challenges with stress and anxiety.% Their willingness to participate and self-reflect in session indicates a strong commitment to achieving their therapeutic goals. %Current therapeutic interventions, which are directed at helping the client build skills and coping strategies, are having a positive impact on the client's progress.%
Plan:
%In order to lower workplace stress and continue advancing in therapy, the client agreed to set specific objectives for themselves. They plan on talking to their manager about ways to manage their workload or address any outstanding concerns. Additionally, they will begin practicing meditation four times a week during their lunch breaks, as a means of managing stress and promoting relaxation.% &Continued exploration of these& and other stress reduction &strategies will be a focus in future sessions.&
Hmmm... My take-away is that this needs more work (that's fine); I want to know why they have to report to LinkedIn, Facebook, Gravatar, and Word Press while I'm logged in and what they report; and the system IS inventing minor elements that I did not tell it to add. For example, while I reported the client was overwhelmed and stressed, I did not say the client was open and honest about it. I told the system the client was "progressing", but never said that increased levels of stress were reported in this session.
#AI #CollaborativeHumanAISystems #HumanAwareAI #chatbotgpt #chatgpt #artificialintelligence #psychology #counseling #socialwork #psychotherapy #EHR #EPIC #medicalnotes #progressnotes #Microsoft
@psychotherapist@a.gup.pe @psychotherapists@a.gup.pe @psychology@a.gup.pe @socialpsych@a.gup.pe @socialwork@a.gup.pe @psychiatry@a.gup.pe #mentalhealth #technology #psychiatry #healthcare #patientportal #autonotesai
If AutoNotes.ai just plugged in a free AI available from elsewhere with a front-end they created, I wonder what legalese governs use of the AI on the backend? I am not a lawyer and none of us know the licensing agreement or ownership of the AI which AutoNotes.ai is using.
And, well hey -- while I'm just busy making up wild speculations -- let's play with this a bit:
So I know AutoNotes.ai is sending SOME kind of information to Google tracking services because my browser plug-ins are preventing this data from being sent to Google and telling me so.
Let's just suppose for a moment that they are using Google's Bard AI on the back-end. Because -- why not -- there is no PHI being collected anyway...
Meanwhile, both the therapist and the client are using the Google Chrome web browser for televideo. Or maybe they are using Gmail and the Gmail text is being mined. Or the data input for the note is sent along to Google datamining regardless of whether or not the Bard AI is used...
Let's go further out on our hypothetical limb and say that the therapist sees only three clients that day. The therapist creates three notes in AutoNotes.ai that day...
It's now a more than fair chance that one of those three unnamed clients has Acute Stress Disorder (like in my example above). If Google has gone to the bother to devote the computer tracking power to it, they might know from Gmail, or Bard, or data aggregation the names of the clients the therapist saw that day.
Of course, I really am making this all up -- we are just not given enough data to know what's real and false anymore.
Here is a paragraph from the welcome message they emailed me:
"Here are a couple of simple suggestions, first, complete as thorough a Mental Status Exam (MSE) as possible, submit a few sentences related to the session and theme, and include treatment plan goals, objectives, and strategies; this will ensure the best possible clinical note. Please revise and submit your revised version inside the app! This will assist all of us in building the greatest tool on earth for the field!"
Well, okay -- I do want the AI to get better at its job...
But this DOES mean they are keeping a version of what you provide, doesn't it?
It occurred to me this morning that by the time I fill out the form and write two or three sentences, I've already done all the work that is needed for an official note (after adding start and end times, diagnosis, name, client age, and a few other elements to the form). There is no need to convert it all to narrative -- it can stay in form factor mostly.
So -- while I want an AI I can trust to help with notes (and this one may grow into such) -- right now the effort of getting it to create a note is about exactly equal to the effort of just writing it myself anyway.
I feel like AI is the dotcom bubble and the app bubble all over again. Expect a market crash as the market traders realise that most of these companies won't make any money.
Oh, and who's getting most hurt by that crash? Definitely not the richest people, as they'll get bailouts.
@Reina The rich often benefit a lot from economic downturns because it’s another opportunity to exploit. An excuse to cut costs, an excuse to layoff workers, an excuse to pay less, ect ect ect. As I keep saying: #recessionsAreAChoice that the largest mega corporations could collectively avoid.
I think #AI will be a different beast. #ArtificialIntelligence along with other #disruptiveTechnology (like 3d printing) is likely 2 contribute 2 an unemployment crisis in the coming decades.
Just ran into this entertaining and accessible explainer by #LiveOverflow about why large language models like #ChatGPT sometimes 'misbehave' and present output to the user that they're not supposed to see.
Long story short: both the system's 'filters' and the user input are presented as one big prompt to the model, which means you can influence the filters.
TED talk from computer scientist Yejin Choi delves into where AI shines, and where it falls short.
It's an interesting presentation that highlights some limitations of AI language models and gives some food for thought on how they could improve and evolve by trying to understand human perspective, values and "common sense".
She also makes a case for the democratization of AI and developing open AI models.
The #AI Act is a flagship legislative proposal to regulate #ArtificialIntelligence based on its potential to cause harm. The #European Parliament is now inching toward formalising its position on the file, after #EU lawmakers reached a political agreement on Thursday (27 April). #machinelearning#llm#LLMs
Should companies be responsible for taking an ethical approach to developing technology, such as ensuring it does not increase inequality?
I would have thought "of course" they are responsible. But it appears that some think that we should develop technology and leave the consequences to governments to sort out! #AI#AGI#LLM#ArtificalIntelligence
Amen to this idea: "Let's have cross-disciplinary conversations so more people can spot these problems."
In Sydney today a symposium will be held where experts from a wide variety of disciplines such as economics and arts will discuss how to reduce the risks of #AI - ChatLLM23
Could those with knowledge of LLMs share references/thoughts/sources about #WaterMarking (ie the embedding of a signal/pattern to flag non-human text/tokens)?
I guess what I don't understand, why does AI have to look like magic omnipotence? We put in a question, and this software spits out an answer based on the data it's leeched off of other sources.
Why isn't there an expectation that an AI will cite it's sources like a wiki article?
Today Im lecturing for Business Sweden in South Korea during a business event, providing a broad introduction on artificial intelligence and its current fast and bumpy road. A transcript and video can be found on the link below.
Part of why everything that comes out of the "AI" hype charlatans of Silicon Valley (and their useful fools all across the world) is so awful both in their absurd imagined fake futures and in the real present harms they are inflicting on all of us right now is that their foundational ideas are rotten to the core, and have been since the beginning.
We cannot separate the very much ongoing and highly influential eugenics movement from so-called "AI" as practiced by the largest companies in the world.