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Today, we'll be discussing the development of
the informatics profession and some scenarios
of what a profession in this field might
look like.
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We'll discuss current roles, look at
potential future positions, delve into
credentialing and training, and explore
informatics theory and research development.
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Let's get started.
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For the health informatics professional, you
may explore a variety of different roles or
titles, and likely you'll work with multiple
different disciplines in your everyday work,
especially when supporting professional
development.
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For instance, clinical informatics
specialists often liaise between healthcare
providers and IT experts.
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Now, this is so they can optimize the use of
electronic health records and other clinical
software. Then, there are the health
information managers.
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They oversee the secure handling of patient
data to maintain privacy and compliance.
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Consider, for example Mark.
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Now, Mark is a clinical informatics
specialist at a local hospital.
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That means he's responsible for training
medical staff on a newly implemented EHR
system. Mark also organizes training
sessions.
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He troubleshoots issues, and he helps refine
the system based on staff feedback.
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Now, as technology advances, new roles in
health informatics will emerge.
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These might include things like AI,
healthcare analysts who design and train AI
models for healthcare applications, or
possibly genomic data specialists who manage
and analyze vast genomic data sets for
personalized medicine.
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Picture Lisa, a future AI healthcare analyst
developing a machine learning model to
predict patient risk for chronic diseases
using historical patient data.
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Lisa's model helps physicians make informed
preventative care decisions.
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Credentialing and training in health
informatics vary based on specific roles.
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Degrees in health informatics, computer
science, or related fields are common
starting points.
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Certifications like Registered Health
Information Administrator or Certified
Professional in health care information and
management systems can further enhance your
credibility. Informatics theory guides how
we understand and apply health informatics.
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It helps in understanding how information is
processed, stored, and communicated.
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The future of informatics theory may lean
heavily on artificial intelligence and
machine learning algorithms.
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As these technologies advance, they'll offer
novel ways to structure, interpret, and
leverage vast amounts of health data.
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Let's consider a future scenario.
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Dr. Smith is a medical researcher who works
with cancer patients.
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Genomic data to discover potential links to
disease prognosis and response to treatment.
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With the massive amount of data involved,
this task is highly complex and challenging
if they were using conventional methods.
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Enter the emerging field of AI and machine
learning in health informatics.
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With the development of sophisticated
algorithms that can learn from and make
predictions based on large data sets.
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Dr. Smith can automate and enhance her
research process.
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Suppose Dr. Smith uses a machine learning
model that applies the theory of deep
learning, a subset of machine learning, to
analyze genomic data.
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This model is designed to learn from
experience, improving its predictions as it
processes more data.
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It can identify patterns that humans might
miss given the vast complexity and scale of
the data. With this model, Dr.
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Smith can uncover complex relationships
between genomic variations and cancer
prognosis, which will lead to more
personalized and effective treatment plans.
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She might discover that patients with a
specific genomic profile respond better to a
particular type of chemotherapy, which would
lead to improved patient outcomes.
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In this scenario, the use of deep learning
in health informatics allows for processing
large volumes of data efficiently.
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Now this will facilitate better medical
research and potentially patient care.
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Research on the other hand, pushes the field forward, exploring new applications and solutions.
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Imagine Dr. Kim, a research scientist working
on a grant-funded study.
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She's exploring how wearable technology data
can enhance patient care management.
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Her findings could contribute to new
informatics theories and influence future
practices. As we step into the future of
health informatics, the field will continue
to evolve, offering new opportunities and
challenges.
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Keeping abreast of current roles, future
opportunities, credentialing needs, and
research developments will be crucial in
shaping a successful career.