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

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Jvion
Jvion

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Categories

Solutions

Description

Product Description:

“If you can’t measure it, you can’t manage it.” - Peter Drucker.
Typical call center reporting packages capture the caller's journey only through the brief call center encounter. A caller's journey, however, is much more than the experience in the call center. Most callers:

  • Spend signficant time on hold
  • Get transferred up to 4 times before getting to the correct destination
  • Get their needs resolved only 40% of the time
  • Experience an inconsistent experience over time

Your call center statistics miss all of the actionable insights from the rest of your caller journey.

To help you better understand the typical caller experience, Syllable created Listening Mode. Listening Mode attaches our AI to every phone call coming into your call center. Our AI follows the call from first answer, over multiple transfers, and until the caller terminates the call. As a result, Listening Mode can provide actinable insights derived from:

  • True call times
  • Resolution rates
  • Broken IVRs and extensions
  • Departmental performance on the phone
  • Intent (the actual reason a person is calling)
  • Satisfactory and unsatisfactory human performance

From this report we can help you understand exactly where our conversational AI-based Patient Assistants can help.

About Syllable Corp:

Syllable is a leading provider of healthcare contact center and medical practice automation solutions using conversational AI

Syllable's product, the Patient Assistant, is used by both hospitals and practices to intelligently route calls more efficiently and provide for automated transactions like appointment scheduling and prescription refill on the phone.


The Patient Assistant also provides rich insights into the end to end call journey for your patients. Current call center metrics are too focused on the micro engagement at the call center and fail to provide the full extent of operational difficulties patients experience on the phone. 

Syllable is used by health systems such as NewYork-Presbyterian, Houston Methodist, Parkview Health, Memorial Care and Honor Health to improve patient experience, enhance access and reduce the cost of delivering healthcare on the phone.

With 88% of patients engaging with hospitals and providers over the phone, why invest millions on your digital front door. Engage patients where they are, on the phone, with Syllable. We automate 50% of incoming phone volume on day one at the fraction of the cost of a human call center agent.


Syllable provides swift time to value with real ROI.

Product Description:
Jvion helps healthcare systems and providers prevent harm and lower costs through its AI-enabled prescriptive analytics solution. An industry first, the Jvion Machine™ goes beyond simple predictive analytics and machine learning to identify patients on a trajectory to becoming high risk and for whom intervention will likely be successful. Jvion determines the interventions that will more effectively reduce risk and enable clinical action. And it accelerates time to value by leveraging established patient-level intelligence to drive engagement across hospitals, populations, and patients.
About Jvion:
Preventable harm is preventable. Jvion helps healthcare systems prevent patient harm and associated costs by enabling clinical staff to focus attention, resources, and individualized interventions on patients whose outcomes can be improved. Unlike traditional AI and predictive analytic solutions that merely identify high-risk patients and cause alarm fatigue, Jvion pinpoints the impactable patients who are on a risk trajectory that can be changed and provides the patient-specific recommendations that will drive to a better outcome. The Jvion Machine™ is a combination of Eigen-based mathematics, dataset of more than 16 million patients, and software that can be quickly applied to any of 50 preventable harm vectors (such as sepsis, readmissions, falls, avoidable ER visits, and pressure injuries) without the need to create new models or to have perfect data. As the leader in prescriptive analytics for preventable harm, Jvion has proven effective in clinical settings for nearly a decade, with hospitals reporting average reductions of 30% in preventable harm incidents and avoidable cost savings of $6.3 million a year.

Compatibility level

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Clients

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Use Cases

Description:

Diagnostic assessment of current telephone system performance from the caller's perspective.

Pediatric use cases:

Same as adult

Users:

Health system executives

Description:
The Jvion Machine™ is a combination of Eigen-based mathematics, dataset of more than 16 million patients, and software that can be quickly applied to any of 50 preventable harm vectors (such as sepsis, readmissions, falls, avoidable ER visits, and pressure injuries) without the need to create new models or to have perfect data.
Pediatric use cases:

None provided

Users:
Nurses, Physicians, Case Managers, Care Coordinators, and other clinical resources responsible for preventing adverse events and improving clinical outcomes.

EHR Integrations

Integrations:

Other

EMR Integration & Relevant Hardware:

Not applicable

EMRs Supported:

Not applicable

Hardware Compatibility:

Not applicable

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Client Types

Awards

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Differentiators

Differentiators vs EHR Functionality:

Not applicable

Differentiators vs Competitors:
  1. We provide full, end-to-end visibility to the caller journey at your health system or practice.
  2. Simple call forwarding telephony integration
  3. Deploys quickly
  4. Not only provides statistical analysis of call performance but also provides detailed insight into caller experience, intent, resolution, overall phone system health and departmental performance.
Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Keywords

Images

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Videos

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Downloads

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Alternatives

Company Details

Founded in 2016

Founded in 2011

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