Artificial Intelligence is now a part of almost any service delivery platform we use in daily life. While AI has long been in our presence – think of ATM machines coming out in the late 1960’s – it is now performing tasks (e.g. private, complex, or interpersonally valuable human interactions) that have long been considered out of the realm of [relatively] hands-off predictive automation. Whether we like it or not, predictive AI is here. It holds tremendous capability to streamline services and help providers reach more people in need. But, it is important we do it carefully and in a way that preserves client confidentiality, informed consent, and the integrity of the therapeutic relationship.
Please join us to increase your awareness, knowledge, and skills to ethically integrate Artificial Intelligence (AI) into your clinical documentation practices. Artificial Intelligence is revolutionizing many aspects of our lives – to include healthcare, behavioral healthcare, and the entire medical record. It is absolutely crucial for behavioral health professionals to maintain adequate data security, patient privacy, integrity of the patient-provider relationship, and thorough mandatory disclosure as they adopt new AI tools in clinical service delivery. It is also important to protect overall trust and confidence in the therapy process amidst this historic change in the healthcare landscape.
Jodi Geis-Crowder brings 27 years of experience to this cutting edge and important topic. Learners will get a modern refresh of the ethical code as the lens through which the training will be viewed. Positive and negative aspects of this new technology driven way of delivering and managing therapy service delivery will be addressed. Attendees will have the opportunity to apply this knowledge to case examples and ask questions of the speaker.
- A general ethics review to educate attendees on the importance of keeping ethics at the forefront of their practice and to meet requirements for state licensing boards.
- An opportunity to create an ethical decision making model.
- An opportunity to apply knowledge gained in the course to clinical case examples.
- How adapting to and strategically adopting new technology can reduce inefficiency and error while increasing standardization and adherence to best practice that can be lost when the workflow is manually driven.
Attendance and Location Details
Date and Time
**This is a 3-CE online seminar delivered virtually in real-time via an industry-standard webinar platform**
Friday, May 9, 2025
10:00am – 1:00pm CST
11:00am – 2:00pm EST
8:00am – 11:00am PST
*Zoom link will be made available to you 24-48 hours prior to event date.
Agenda:
0:00 – 0:05 – Introduction.
0:05 – 0:25 – Mandatory Disclosure and its importance in the context of the use of AI in clinical documentation and case management.
0:25 – 0:45 – Examples of how AI is being used in behavioral health practice.
0:45 – 1:15 – How AI is being used in behavioral healthcare clinical documentation.
1:15 – 1:30 – Goals of using AI in behavioral health documentation.
1:30 – 1:50 – Ethical considerations for using AI in clinical documentation.
1:50 – 2:10 – General ethics review and creating ethical decision making model.
2:10 – 2:40 – Related case examples.
2:40 – 3:00 – How adapting well to AI can be used to drive efficiency and standardization while maintaining competent and ethical practice.
Objectives:
This training will provide participants clinical knowledge and tools to:
a). Identify at least two reasons why mandatory disclosure is one of the most important aspects of client care that provides an opportunity to educate clients about the role of automation and AI in their treatment.
b). Name two examples of AI in behavioral health and how it is being used to augment clinical care.
c). Identify two common AI technologies being used in behavioral healthcare clinical documentation.
d). Describe two ways in which AI is not used to replace the therapist, but to increase efficiency and clinical competency.
e). Name three ethical considerations important in the use of AI in clinical behavioral healh documentation and note taking.
Target Audience:
Clinical Mental Health Professionals such as Counselors, Psychologists, Marriage and Family Therapists, and Licensed Clinical Social Workers.
Instructional Level: Intermediate
Instructor(s): Jodi Ann Geis-Crowder, MS, LPC, ACS
Material Author(s): Jodi Ann Geis-Crowder, MS, LPC, ACS
For additional information about this course, the instructors, or the material authors, please contact Content Assistance at content@onlinececredits.com.
Course Materials & Delivery Method:
- Course materials (including the link to view the scheduled live webinar) are made available to all registered attendees 24-48 hours before the event start time.
- This training is interactive and provides opportunities to ask direct questions to the trainer as well as request immediate help from staff if needed. The attendee will view the presentation in real-time from their connected device via an industry-standard internet webinar platform.
CE Approvals:
Online CE Credits has been approved by NBCC as an Approved Continuing Education Provider, ACEP No. 6795. Programs that do not quality for NBCC credit are clearly identified. Online CE Credits is solely responsible for all aspects of the programs.
Mind Works Professional Education, Inc. DBA Online CE Credits, #1974, is approved as an ACE provider to offer social work continuing education by the Association of Social Work Boards (ASWB) Approved Continuing Education (ACE) program. Regulatory boards are the final authority on courses accepted for continuing education credit. ACE provider approval period: July 23, 2024 – July 23, 2025. Social workers completing this course receive [see advertisement] live interactive webinar continuing education credits.
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