Anthuria is an AI-powered platform designed to help Skilled Nursing Facilities (SNFs) streamline workflows, improve accuracy, and enhance patient care. It offers a suite of applications that leverage the power of Amazon Claude, a Large Language Model (LLM), to provide intelligent assistance and insights.

The AI agents are a core feature of the Anthuria platform. It's powered by Amazon Claude, an LLM that has been specifically trained by Anthuria on a vast amount of SNF data and language, including clinical notes, MDS assessments, and other relevant documentation. This training allows the AI agents to understand the nuances of your clinical documentation and workflows, providing contextually relevant suggestions and insights.

While the AI agents are designed to be highly accurate and leverages a large language model (LLM) trained on massive amounts of textual data, it's important to understand that it can still provide incorrect or incomplete information. LLMs, while generally less prone to "hallucinations" (generating entirely fabricated information) than other forms of generative AI, are not perfect. They operate by identifying patterns in the data they were trained on, and while this allows them to make helpful suggestions, it doesn't guarantee complete accuracy.

Anthuria stands out from the competition in several ways:

The product is designed to help protect customers from compliance risks by identifying potential issues in clinical notes before they are reviewed by state surveyors or compliance auditors. It does this by using AI to analyze clinical notes and flagging any potential compliance concerns, allowing users to address these issues proactively. The product helps ensure that weak or missing information in clinical notes is identified and corrected, reducing the likelihood of compliance issues arising during audits. Additionally, the AI does not report to compliance agencies, so it acts as a protective measure rather than a risk.

Yes, you can download data from Pulse. At this point you cannot download data from MDS 3.0. When downloading from Pulse you will see the below icon for download to the right of the search bar. Selecting the download option will download the current Pulse list you are viewing. The download will apply all of your filters and Settings- If you’ve tailored your column, the download will be your tailored view. If you’ve filtered on a trigger or search phrase the download will only show your filtered results.

The first time you sign in you will use a one time password (OTP) sent to your email address. Enter the OTP on the login page, and you'll then create your permanent password. Once you've created your permanent password you will be able to login with your password on all subsequent sessions.

If you are having any trouble signing in, select the option for 'Forgot Password?' and a One Time Password (OTP) will be emailed to you. You will enter the OTP to sign in and then be prompted to create a new password.

An admin can resend you an invitation from Account Settings at any time with the resend invitation option

Yes, to resend the invitation simply navigate to Account Settings and select 'Resend Invitation' to the right of the user under 'Access Management.' This will resend the email invitation to the user.

From 'Account Settings' navigate to 'Access Management'

Yes, when adding or editing a user you determine the applications and facilities they are able to see when they login. This allows you to ensure that users are only seeing the facilities and applications relevant to them to make the application as useful as possible for each of your users.

Pulse is an application within the Anthuria platform that empowers SNFs with real-time insights derived directly from your existing Electronic Health Record (EHR). It leverages the AI agents to proactively identify potential clinical triggers requiring review.

The AI agents continuously analyze every note within your EHR, proactively identifying potential clinical triggers, such as falls, medication errors, changes in mental status, and wound deterioration. For each potential trigger, the AI agent tags the note, provides an AI explanation, displays the original note, and offers direct EHR access.

Pulse identifies a wide range of clinical triggers, including:

Yes, we actually recommend that you create custom triggers to have the AI agents automatically identify specific information in clinical notes that you would otherwise manually look for. You can define a trigger using:

Custom triggers analyze historical data from the past 3 days. They refresh regularly to ensure you always have the latest insights.

Anthuria reads a variety of clinical data from EHR systems like PointClickCare (PCC) to provide comprehensive insights. Currently Anthuria analyzes progress notes, including:

MDS 3.0 is an AI-powered application within the Anthuria platform designed to help SNFs maximize managed care PDPM reimbursement rates and streamline operational efficiency. It analyzes patient data, identifies potential coding discrepancies in MDS assessments, and provides clear, actionable suggestions to ensure you receive appropriate reimbursement for the care you provide.

MDS 3.0 continuously reviews clinical documentation for managed care PDPM patients under the Patient Driven Payment Model (PDPM). It securely and HIPAA-compliantly scans clinical notes, comparing them against the current MDS record. Using AI, it identifies potential coding changes, highlighting areas where documentation suggests the MDS may not fully reflect the patient's condition and care needs. This helps ensure accurate representation of patient status for appropriate reimbursement.

MDS 3.0 updates daily, reflecting new clinical documentation and changes to the MDS record. This means that rate opportunities will reflect MDS changes made the previous day. For MDS forms that have not yet been submitted with an ARD date in the future data will refresh every 3 hours.

MDS 3.0 provides continuous review, both before and after initial MDS submission. Within MDS 3.0 you can view both in progress and completed MDS. It offers suggestions based on the most recent MDS and available patient data, creating a centralized resource for the next scheduled assessment. While suggestions are refreshed daily as new evidence emerges, they are valuable throughout the MDS process. Significant changes impacting reimbursement may warrant a new MDS submission at any time.

Yes, at the top of the MDS 3.0 application you are able to switch between completed an in progress. 'Completed' will show suggestions for patients who have already had MDS submitted to Centers for Medicare and Medicaid Services (CMS). 'In Progress' will show patients who have MDS submissions in draft and an ARD date in the future. The suggestions for patients with MDS in progress will compare what is currently entered in the draft MDS against all notes, diagnosis codes, and current and historical orders.

MDS suggestions are dynamic and refresh daily. Discharged patients are removed, MDS changes are reflected, and suggestions and potential rate adjustments are updated accordingly. If you disagree with a suggestion (using the "thumbs down" feedback), it will be removed unless further supporting evidence is found.

MDS 3.0 analyzes all available clinical notes against the current MDS record. There isn't a fixed look-back window in the traditional sense, as it considers the entire documented patient history relevant to the current assessment.

MDS 3.0 currently focuses on managed care PDPM patients. MDS 3.0 will include all Medicare Part A and managed care patients with an MDS form that has been started or submitted. If a patient has no MDS form started they will not appear in the MDS 3.0 application. If you have active Medicare Part A patients in a facility and don't see them, please contact [email protected].

MDS 3.0 provides suggestions related to Section GG, identifying potential discrepancies between clinical notes and documented functional abilities. While it highlights areas where documentation suggests potential changes, it does not currently make direct rate change suggestions for Section GG, as accurate assessment requires observation, interviews, and detailed medical history review. Instead, MDS 3.0 flags areas where further assessment (interviews, detailed evaluations) may be warranted to determine if updates to functional abilities and goals are necessary. This helps ensure accurate reflection of patient function while respecting the required assessment methods for Section GG.

When clinical documentation is limited, MDS 3.0 may offer suggestions based on broader trends or default values. These suggestions are intended to be starting points and should not be considered definitive. Your clinical expertise and direct patient interaction are crucial. Always use your professional judgment, incorporating all available information, including direct observation and patient interviews, to determine the most accurate MDS coding. MDS 3.0 is a tool to assist you, not replace your clinical decision-making.

For patients that have in progress assessments, including patients that have not yet had the standard 5 day ARD completed, you will see them listed under 'In Progress', a tab at the top of MDS 3.0 that allows you to switch between completed and in progress MDS assessments.

MDS 3.0 leverages AI to proactively analyze all available clinical documentation, including notes entered into your EHR immediately upon admission. This continuous analysis provides coding suggestions for PDPM, regardless of ARD status, enabling you to optimize the accuracy of your 5-day MDS and subsequent assessments. By identifying potential coding opportunities early, you can ensure timely and appropriate reimbursement throughout the patient's stay.

An administrator from your company invited you to access our MDS application. We send out daily insights for MDS to all MDS users, which is why you are receiving this email. The insights are meant to help you run your daily MDS review and capture all reimbursement opportunities to ensure you are being reimbursed for the level of care your patients need.

MDS reads a variety of clinical data, including information from progress notes, diagnosis codes, and orders within an Electronic Health Record (EHR) system. This data helps create a comprehensive resident profile.

This list is not exhaustive and the specific data points read by MDS may vary. Contact us for more information about the data used by MDS.

You can contact Anthuria support by emailing [email protected].