Class 9 - Mental Health & AI Flashcards
Digital revolution
dramatically different. Not a new invention, has been discussed for 30 years. Needs to be properly managed. Machine learning (ML) is changing transportation, commerce, security, and communication.
Biggest fear with AI
JOB LOSS. New jobs could also be created, however.
How is AI changing the future of medicine
AI is expanding the power of radiology and medical imaging.
AI will be able to triage, find things early → whereas it would take a human days to find a diagnosis.
Computers can run without sleep, continuously until they find the answer, they search the entire web of data.
Mostly for cancer
Doctors have 50 algorithms for finding cancer, but many unapproved
Many dx where the pt could pass away if not found right away (e.g., PE.)
ER setting: SOB, CHF, that’s it… as soon as it is detected in PET scan it would tell us right away (will not diagnose, will tell you to look out for this person, will increase the priority of the pt)
ALL AI will require a human to say whether they agree or disagree with the diagnosis → this would just make it easier for the human to focus on the specific/right area, and tx it faster.
Artificial Intelligence
Generic term for techniques used to teach computers to mimic human-like cognitive functions, such as reasoning, communicating, learning and decision-making
The goal of an AI hospital would be to ….
Goal of an AI hospital would be to reduce doctor, pharmacist, and nurse workload.
- Faster more accurate testing for cancer
- Highly sensitive blood test to detect cancer
- Real-time assessment of pt
- All aspects of pt care is connected
- Data management, language processing, –> drug delivery robot, → human transport robot, AI assisted driving Car.
- Robot that can engage in complex relationships with pt
- Communication robot, understands all languages
- Triage system
Scenarios where AI may be implemented in your own healthcare (5)
Early detection: Great amounts of population data can be analyzed rapidly and individuals with particular risk factors can be identified earlier for primary prevention and screening.
Virtual chatbots: Given the gap in access to mental health professionals, what if an AI assisted chatbot is trained in Cognitive Behavioral therapy and can provide psychotherapy to scale. Or a virtual chatbot can provide screening and referrals based on protocols, such as with 811.
Drug discovery: AI tools are already being used widely in facilitating research into new therapies – which may increase the cadence of discovery.
Image analysis: AI has been found to be very successful in assessing images for abnormalities and may thus improve outcomes given faster interventions.
Virtual simulation for quality improvement: Continuous learning is an essential component for maintaining patient safety and quality healthcare. AI may be a useful tool to develop and facilitate virtual simulations in the healthcare environment for quality improvement.
AI Ethics in Health
(10 principles)
Well-being principle
The development and use of artificial intelligence systems (AIS) must permit the growth of the well-being of all sentient beings.
Respect for autonomy principle
AIS must be developed and used while respecting people’s autonomy, and with the goal of increasing people’s control over their lives and their surroundings.
Protection of privacy and intimacy
Privacy and intimacy must be protected from AIS intrusion and data acquisition and archiving systems (DAAS).
Solidarity principle
The development of AIS must be compatible with maintaining the bonds of solidarity among people and generations.
Democratic participating principle
AIS must meet intelligibility, justifiability, and accessibility criteria, and must be subjected to democratic scrutiny, debate, and control.
Equity principle
The development and use of AIS must contribute to the creation of a just and equitable society.
Diversity inclusion principle
The development and use of AIS must be compatible with maintaining social and cultural diversity and must not restrict the scope of lifestyle choices or personal experiences.
Caution principle
Every person involved in AI development must exercise caution by anticipating, as far as possible, the adverse consequences of AIS use and by taking the appropriate measures to avoid them.
Responsible principle
The development and use of AIS must not contribute to lessening the responsibility of human beings when decisions must be made.
Sustainable development principle
The development and use of AIS must be carried out so as to ensure a strong environmental sustainability of the planet.
Some Ethical Questions in Mental Health
Resource allocation / Social justice
Competence/Capacity and Consent (Autonomy)
Confidentiality and Privacy
Ethical Questions: Resource allocation/equity/social justice issues
Patients are often some of the poorest, sickest, most disadvantaged members of society.
Clinical considerations sometimes take a backseat to urgent psychosocial needs.
The approaches to care are multi-disciplinary, multi-system, and therefore distanced from traditional bioethics.
We need different models and approaches to examine these issues in all their complexity.
We also need different benchmarks on which to evaluate care approaches and interventions.
Treatments are based on building relationships and trust, and there are few ‘quick fixes’ (e.g., pneumonia–> antibiotic)
They tend to not want to fund mental health issues because it is not quickly or easily ‘treatable’ like an infection for example
Other considerations re: chronicity: can one ever be ‘cured’ of their MI (mental illness) ? Remission? With consultations on including MI in MAiD, can a MI ever be considered end-stage, or palliative?
Implications of the deinstitutionalization movement: 1950s first psychotropic drugs, deinstitutionalization 1960s, CLSCs 1970s
In 1960s a lot of mental institutions closed their doors and shift of resources to community
Long-acting antipsychotics offering better treatment options, but still lacking services, patients falling through the cracks.
Ethical Questions: Competence/Capacity/Consent issues
Significant power imbalances in patient care
Concerns raised by MH concerns bring out questions of the capacity to consent to care (and even refuse care)
Do they even have the capacity to refuse or consent to care?
Frail elderly with major neurocognitive disorders, suicidality: one area of health care where, by virtue of your diagnosis, clinicians can routinely petition courts to override consent, question capacity, use coercive approaches to force treatment, or confinement, use physical and chemical restraints restraints
Suicide precautions
As you saw in your reading: we can routinely restrict patients’ rights in the name of protecting them, even when it comes at the cost of their self-determination (e.g. Bill, Edna, Eric: cases in your reading)
Restricting of rights and decision making
Ethical Questions: Confidentiality
Because treatments cross the boundaries of the clinic or the hospital, and because patients often need psychosocial support (help with access to housing, basic necessities), often they rely on public curators to help manage different aspects of their daily life.
If you were a nurse helping a patient find housing, how much would you disclose to a landlord? An employer?
In the clinical setting, how much do you disclose to your colleagues to maintain confidentiality while also promoting safety?
E.g., requesting suicide precautions and surveillance in hospital, how do you instruct PABs? How do you promote dignity in these vulnerable moments? In a way that maintains pt confidentiality?
More than any other field in health care, MH (mental health) struggles with the issue of
stigma
Stigma as a concept was first described by
American sociologist Erving Goffman in the 1960s.
There are so many misconceptions in mental health, and the XX has been particularly inflammatory around perceptions of MH
media
MI can affect everyone, but who is at bigger risk?
- Low income earners, underemployed, single mothers
- Children & adolescents exposed to violence & aggression
- Workers who do repetitive work & have little decision-making power
- Women who have been victims of sexual or domestic violence
- Frail elderly who live at home
Indigenous populations are at even higher risk
what Canadian legal document - speaks specifically to nursing issues with regards to patients with mental health issues, including use of chemical and physical restraints, and forcible confinement.
Canadian Charter of rights and freedoms, entrenched in the Constitution of Canada