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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
AnesthesiaGo
AnesthesiaGo

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Categories

Solutions

Description

Product Description:

Copient Health uses machine learning to identify OR block time likely to go unfilled. It then gets the released time into the hands of other providers who can use it by nudging block holders to release the identified time and by giving facility schedulers real-time information on recapturable time.  It also provides an AI query tool allowing authorized facility users to ask unlimited questions about their data and have the AI model take actions on their behalf.

About Copient Health:

Copient Health uses machine learning to identify OR block time likely to go unfilled. It nudges block holders to release the identified time, then gets the released time into the hands of other providers who can use it.  It also includes a set of real-time analytics to support decision-making around block management. The result is increased utilization, improved OR margin, better patient access, and satisfied providers.

Product Description:

AnesthesiaGo by PerfectServe is the first and only solution that automatically matches available staff with the best daily case schedule to save time, minimize human error, and allow you to focus on patient care.

About PerfectServe:
PerfectServe, Inc. provides physician contact and patient care communication services to hospitals, physician practices and other healthcare clients in more than 130 markets across the U.S. Since 2000, the company has experienced compound annual growth in excess of 50 percent, demonstrating the market demand for our innovative physician contact offerings, PerfectServe One-2-One and PerfectServe OnCall. Independent research has found that the PerfectServe platform is able to provide medical professionals with unprecedented accuracy, reliability and personal control over physician contact processes. At present, PerfectServe facilitates tens of thousands of interactions per day between our hospital and physician clients and their approximately 12 million patients.

Compatibility level

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

Clients

Select which hospital or health system you work at and see the client list

Use Cases

Description:

- identify slots of block time likely to go unfilled on specific days

- alert facility schedulers of recapturable time
- nudge the associated block holders to release the identified day slots
- make released slots available to providers with matching preferences
- provide analytics/reporting around block management

- use AI-powered query tool for Q&A on your data

Pediatric use cases:

OR optimization at children's hospitals

Users:

perioperative managers, facility schedulers, office schedulers, block holders

Description:

By the numbers

44 min

Daily Schedules are completed an average 44 minutes faster than traditional manual methods. 

13%

Less downtime between cases while still accounting for turnover and drive time.

12 min

Average turnaround time to make the schedule and deliver to pertinent personnel.

Disrupting Outdated Processes

AnesthesiaGo is designed to disrupt outdated processes for building daily case assignments, which typically involve a senior anesthesiologist poring over a case list by hand to dole out assignments the night before or morning of surgery.

Eliminate Inefficiencies, Save Time

AnesthesiaGo automates the case assignment process with a powerful rules-based algorithm that eliminates inefficiencies, double bookings, and undesired pairings while reducing the time required to build a functional schedule from an hour or more to mere minutes.

Minimize Errors

Our program ensures that assigned anesthesiologists have the appropriate specialty qualifications and facility credentials for their cases. If manual changes are made, validation checks alert the user if any rules are violated.

Teaming for Provider Wellness

AnesthesiaGo supports teaming (or best matches) between credentialed doctors and surgeons, which improves satisfaction and wellness, facilitates continuity of care, and reduces burnout. If you know and like who you’re doing surgery with, the whole process is bound to be smoother and more stress-free.

Data-Driven Insights

Make better decisions with historical and analytical reporting. Visualize the metrics you want to measure with data dashboards.

Pediatric use cases:

None provided

Users:

Not specified

EHR Integrations

Integrations:

Acute care EMR, Ambulatory EMR

EMR Integration & Relevant Hardware:

Use case dependent

EMRs Supported:

Cerner, Epic, Meditech, Other, Allscripts

Hardware Compatibility:

Desktop, Mobile / Tablet (web optimized)

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Client Types

None provided

Differentiators

Differentiators vs EHR Functionality:
  • identifies in advance portions of block days likely to go unfilled using machine learning
  • automatically nudges providers/schedulers to release the time they won't fill
  • eliminates inefficient back-and-forth between facility and surgical office by automating the request process
  • provides in-depth analytics not available from a customer's EHR
Differentiators vs Competitors:
  • Guaranteed ROI
  • Integrates financial metrics like contribution margin into block decisions.
  • Simple, affordable monthly subscription with no upfront cost and no long-term commitment
  • Leverage existing workflows; no need to learn a new application
  • Modular; use only what you need
  • Appropriate for hospitals and ASCs

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Keywords

Images

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Videos

1 of 2

CH_explainer_video.mp4

1 of 1

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Downloads

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CaseStudy_Automated-OR-Scheduling-Optimization_CopientHealth_3Q23_FINAL.pdf

No content provided

Alternatives

Company Details

Founded in 2019

Founded in 1997

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