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Building a Targeted Automatic e-Consult (TACo) Program.

Timothy J Judson, Michelle Mourad, Robert M Wachter

Joint Commission Journal on Quality and Patient Safety

|December 22, 2021

Summary

This summary is machine-generated.

Targeted automatic e-consults (TACos) improve healthcare value by identifying patients needing specialist advice via EHR, offering virtual consultations. This model facilitates expert input efficiently, addressing limitations of traditional consults.

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Area of Science:

Health Informatics
Clinical Operations
Telemedicine

Background:

Traditional specialty consults are resource-intensive, often leading to delays or omissions.
Treating physicians may not always recognize the need for specialist input.
Electronic Health Records (EHR) offer potential for improving consult efficiency.

Purpose of the Study:

To introduce and describe the Targeted Automatic e-consults (TACos) model.
To outline the key steps in developing and implementing a TACo program.
To discuss the potential benefits and challenges of the TACo model in healthcare delivery.

Main Methods:

Prospectively identifying patients using EHR data.
Presenting pertinent patient information on a consultant dashboard.
Facilitating virtual consultations with written recommendations.

Main Results:

The TACo model facilitates expert input without a proportional increase in cost.
Identified four key steps for developing a TACo program: condition selection, digital infrastructure design, funding plan creation, and pilot testing.
Acknowledged challenges include funding barriers and technological hurdles in EHR integration.

Conclusions:

TACos offer a valuable model for improving healthcare efficiency and expert accessibility.
New e-consult billing codes and updated reimbursement policies may support adoption.
Future developments may involve machine learning for patient identification and recommendation generation.