[Today’s guest post is by Dr. Griffin Myers, whose innovative primary care clinic for Medicare patients, Oak Street Health, opened its doors in September 2013.]
Forgive the brief hiatus: we’ve been busy with a growing
patient community and plans for taking our model to new neighborhoods.
patient community and plans for taking our model to new neighborhoods.
We left
off last time with a discussion of infrastructure, and today we’ll transition
to what that infrastructure can do. Again from the Institute of Medicine report
“Best Care at Lower Cost: The Path to Continuously Learning Health Care inAmerica,” here is the next of the 10 recommendations.
off last time with a discussion of infrastructure, and today we’ll transition
to what that infrastructure can do. Again from the Institute of Medicine report
“Best Care at Lower Cost: The Path to Continuously Learning Health Care inAmerica,” here is the next of the 10 recommendations.
Recommendation 2: The data utility. Streamline and revise
research regulations to improve care, promote the capture of clinical data, and
generate knowledge.
research regulations to improve care, promote the capture of clinical data, and
generate knowledge.
The most common source of data used in healthcare today is
claims data. This generally includes (1) patient indentifiers, (2) CPT codes
(i.e., billing codes), and (3) corresponding ICD codes (i.e., diagnoses to
justify the services billed). Together those create a matrix of who has what
medical conditions and the list of interactions with the healthcare system they
have to manage those conditions.
claims data. This generally includes (1) patient indentifiers, (2) CPT codes
(i.e., billing codes), and (3) corresponding ICD codes (i.e., diagnoses to
justify the services billed). Together those create a matrix of who has what
medical conditions and the list of interactions with the healthcare system they
have to manage those conditions.
These data are provided by payers and are
useful in understanding if a particular patient received a particular
intervention. For example, payers can tell which women aged 42 to 69 had a
mammogram during the previous 2 years. For us, that’s an important Medicare
metric that we can use to make sure patients get the right preventive services.
It’s a great start, but we want to go further.
useful in understanding if a particular patient received a particular
intervention. For example, payers can tell which women aged 42 to 69 had a
mammogram during the previous 2 years. For us, that’s an important Medicare
metric that we can use to make sure patients get the right preventive services.
It’s a great start, but we want to go further.
At Oak Street, we have a hypothesis that structured,
clinically relevant, validated data has more predictive power than claims data
alone.(Think Lawton and Katz functional scores, PHQ-9 depression scores, etc.) So we work hard to create that data in each of
our interactions. We structure our charts so the data that goes in is usable.
(Think fewer text boxes, more numbers and drop-downs, etc.)
clinically relevant, validated data has more predictive power than claims data
alone.(Think Lawton and Katz functional scores, PHQ-9 depression scores, etc.) So we work hard to create that data in each of
our interactions. We structure our charts so the data that goes in is usable.
(Think fewer text boxes, more numbers and drop-downs, etc.)
Deciding what to structure is nontrivial. Do you want
structured data for labs and vitals? Yes. How about medications and allergies?
We do. Timed-get-up-and-go scores? Probably. And bowel sounds? Probably not.The
ultimate goal of all of this is to make care much more systematic. We want to “triage”
patients so we know who needs the most attention now. We
want to flag errors and gaps: the system should tell us which patient needs a
colonoscopy…I don’t want to leave that to an individual.
structured data for labs and vitals? Yes. How about medications and allergies?
We do. Timed-get-up-and-go scores? Probably. And bowel sounds? Probably not.The
ultimate goal of all of this is to make care much more systematic. We want to “triage”
patients so we know who needs the most attention now. We
want to flag errors and gaps: the system should tell us which patient needs a
colonoscopy…I don’t want to leave that to an individual.
Of course, this description feels like a technology project,
but it’s really more than that. It’s about training and creating a culture
where the whole team is proud of the data we create. That’s hard, and we work
on that every day.
but it’s really more than that. It’s about training and creating a culture
where the whole team is proud of the data we create. That’s hard, and we work
on that every day.
As you can see, this “foundation” is no small task. Are we
perfect? Not close. But we did start with a focus on the digital infrastructure
to run a practice and utilizing data to do some creative things to take really
good care of older adults. The tools to do this will only get better with time,
and we hope our structured processes can fill in the gaps in the meantime.
perfect? Not close. But we did start with a focus on the digital infrastructure
to run a practice and utilizing data to do some creative things to take really
good care of older adults. The tools to do this will only get better with time,
and we hope our structured processes can fill in the gaps in the meantime.
Griffin Myers, M.D., M.B.A. is a founder and the Chief
Medical Officer at Oak Street Health in Chicago. He is currently in his final
year of an emergency medicine residency in Boston. You can contact him at
griffin (at) oakstreethealth (dot) com.
Medical Officer at Oak Street Health in Chicago. He is currently in his final
year of an emergency medicine residency in Boston. You can contact him at
griffin (at) oakstreethealth (dot) com.
Disclosures
The author wishes to disclose a financial interest in the
primary care model discussed above. Furthermore, he is a trainee in a
postgraduate clinical training program, and neither the program nor the
affiliating university endorses, owns, or has any formal or informal
relationship with the primary care model.
primary care model discussed above. Furthermore, he is a trainee in a
postgraduate clinical training program, and neither the program nor the
affiliating university endorses, owns, or has any formal or informal
relationship with the primary care model.
Thanks