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Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Differentiators
Keywords
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Company details
Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Differentiators
Keywords
Media
Company details
Patient Summarizer
Patient Summarizer

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Categories

Solutions

Description

Product Description:
Combines the patient-level insights gathered from the each note in the medical record into a filterable, searchable, patient-centric data model. Client- and user-specific views support automation of specific workflows accorss the enterprise.
About KAID Health:
For healthcare organizations who need to better manage their patient population, KAID is a care management specific, SaaS-based, HIPAA-compliant, point-and-click, patient-centric clinical natural language processing (NLP) toolkit. The platform summarizes patients’ health, identifies behavioral health risks, flags unhealthy behaviors, codes social determinants and activity limitations, and automates creating and maintaining a patient “to do list” (i.e., a care plan), based on the providers treatment instructions. Only KAID translates the entirety of the medical record into an actionable data set, allowing care teams of all sizes to increase efficiency and patient impact with little to no start-up cost translates the entirety of the medical record into an actionable data set, allowing care teams of all sizes to increase efficiency and patient impact with little to no start-up cost.
Product Description:

AI to review all patient data, ensure diagnoses are not missed, and automating note-writing.

Regard uses proprietary algorithms to automatically diagnose and document conditions on behalf of inpatient providers. These automatically-generated notes save providers time, reduce coding queries, and have a dramatic impact to hospital finances.

About Regard:

Regard is an AI-powered clinical co-pilot that automatically diagnoses patients and writes notes for physicians. On average clinicians save 2-3 hours per day and each provider generates an additional $100,000 in revenue every year. Hospitals see a $3-6M revenue improvement from just their first department on Regard. Best of all, physicians love the software and it improves patient care.

Compatibility level

Select which hospital or health system you work at and see a personalized compatibility level.

Clients

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Use Cases

Description:

None provided

Pediatric use cases:

None provided

Users:

None provided

Description:

Automatically review charts and diagnose patients to save time, reduce burnout, improve care, and improve key hospital metrics.

Pediatric use cases:

None provided

Users:

Diagnosing providers: hospitalists, MDs/DOs, Advanced Practice Providers

EHR Integrations

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Integrations:

Acute care EMR, Ambulatory EMR

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Epic, Cerner

Hardware Compatibility:

Desktop

Client Types

None provided

Differentiators

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Differentiators vs EHR Functionality:

Regard diagnoses automatically. The EHR supports overall health system goals and is the operating system for all functions, but Regard expands your care team using AI. Regard diagnoses, recommends treatments, and automates documentation to ensure patient safety, improve clinician quality of life, and supercharge CDI & rev cycle.

Differentiators vs Competitors:

Regard drafts the note just like an AI resident before the clinician even sees the patient. By doing this upstream, we can reduce the burden on the clinician and supercharge downstream tools like clinical alerts, CAPD, and CDI.

Regard takes a holistic view of the patient to improve safety, reduce medical errors, suggest improvements to care, and ensure that the documentation is complete & accurate.

Keywords

Images

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Downloads

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Alternatives

Company Details

Founded in 2017

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