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Health - Condition Specific Messaging

Health - Condition Specific Messaging

Health - Condition Specific Messaging

By PatientBond, Inc.

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Overview


Select which hospital or health system you work at and see a personalized match score.
About

DESCRIPTION

None provided

CLIENTS OVERVIEW
Key Clients
Clients Your Size
USED BY
0 People
4 Organizations
EHR integration

Integrations:

Acute care EMR, Ambulatory EMR, Ancillary EMR, ERP system, Patient portal, Pop health platform, Behavioral health, Website / public online sources, Other

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Epic, Cerner, Meditech, Allscripts, NextGen, athena, GE, eClinicalWorks, McKesson, Other, Allscripts/Eclipsys, Athenahealth, Azalea Health/Prognosis, CPSI, MEDHOST, Self-developed

Hardware Compatibility:

Desktop, Mobile / Tablet (web optimized), Mobile / Tablet (native app)

Description

Automatically trigger personalized communications to patients upon discharge using ICD9 codes. Includes condition specific care information, collects patient reported outcomes (PRO) for each condition type and automatically alerts staff/redirects patients to make follow up appointments, if appropriate, based on PRO data.
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Use cases

Description
  • Condition specific care information
  • Collects patient reported outcomes (PRO) for each condition type
  • Automatically alerts staff/redirects patients to make follow up appointments, if appropriate, based on PRO data.


Pediatric use cases:

Parents/guardians can be the recipients of these communications

Users:

Patients

Care Management

Clinicians

Differentiators

Differentiators vs Internal Options:

Automates the patient education and status monitoring process. Psychographic insights are used to personalize content, facilitating patient understanding of information and enhancing the likelihood of behavior activation

Differentiators vs Competitors:

Psychographic insights are used to personalize content, facilitating patient understanding of information and enhancing the likelihood of behavior activation. Patient response is monitored and can alert/trigger clinician follow-up when necessary

Company information

Founded in 2011

17.0M total equity funding

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