AI Interview

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The AI Interview Feature in Case Amplify was initially conceived to enhance the efficiency and effectiveness of caseworkers in organizations that provide Vocational Rehabilitation (VR) and Transitional services by automating data gathering and streamlining the interview process. However, the feature has can help any organization that performs interviews to collect client information. Here’s a brief synopsis of how this feature can help your organization:

1. Live Note Taking during Interviews:

• Once activated to assist with an interview, the Case Amplify AI is actively parsing and processing the content of the interview looking for the data points you need for forms and program qualification. This simplifies the information gathering process.

2. Real-Time Client Program Analysis:

• During the interview, the AI performs real-time analysis of the conversation, the required data points, the data points extracted and the programs available through the case workers organization. Through this analysis, the AI is able to provide near real-time suggestions of questions for the case worker to use. These questions are provided using Trauma Aware language and are intended to help the case worker elicit the necessary information in order to expedite the time between client contact and assistance delivery.

3. Standardized Interview Summary:

• After completing an interview, the Case Amplify AI produced a summary of the interview, noting key insights beyond simple data points. This summary is generated for every interview and is provided in a standard format, containing Current Status, Client Concerns and Requests, Case Worker Actions and Decisions, and Next Steps, ensuring consistent and concise case notes for the interview.

4. Suggested Program Insights

• Beyond the standard summary provided by the Case Amplify AI, Case Amplify also uses the information gathered during the interview and previous interviews to provide program suggestions based on both the needs and qualifications of the client. This helps you get the right clients in the right programs while reducing the your analysis overhead.

5. Human Review of Extracted Insights

• We all know AI isn't perfect, that is why all data points and summary data collected by the Case Amplify AI during the call is editable by the case worker after the interview concludes. Ensuring the case worker can review extracted insights for accuracy and make edits when necessary.

6. Improved Client Engagement:

• By using the Case Amplify AI as a part of the interview process, case workers are freed up to provide more interaction and focus on the conversation instead of the notes. This allows case workers to prioritize client engagement over the required administrative tasks, improving client relationships.

7. Time Efficiency:

• The AI interview feature can also significantly improve time efficiency. By giving case workers the features listed above, they are freed from the time consuming burden of live note taking and the vital task of summarizing the interview for Case Note tracking.

8. Integration with Case Management Systems:

• The data collected during Case Amplify AI interviews can be seamlessly integrated into existing case management systems, ensuring that all information is readily available for further processing and reporting.

9. Flexible Data Retention Options:

• Utilizing full interview transcriptions for analysis, the Case Amplify AI feature offers you the flexibility to store the original interview audio, the transcription generated from the audio, both, or neither with retention duration options to meet your data privacy and compliance requirements.

In summary, the AI Interview Feature in the Case Amplify tool enhances the traditional, VR and Transitional program interview processes by automating the tedious portions of the interview without losing the human touch. Benefiting the organization by ensuring consistency, improving data collection and analysis, engaging clients more effectively, saving time, and integrating smoothly with existing systems. This leads to more efficient service delivery and better outcomes for clients.