Return to Video

The universal anesthesia machine | Erica Frenkel | TEDxMidAtlantic

  • 0:05 - 0:07
    I'm going to talk to that guy,
  • 0:07 - 0:10
    I need one of those bottles
    for my appartment in Park Slope.
  • 0:10 - 0:12
    Thanks for having me.
  • 0:12 - 0:13
    I'm going to talk to you today
  • 0:13 - 0:16
    about the design of medical technology
    for low-resource settings.
  • 0:16 - 0:19
    Some of the countries
    that Arun just highlighted
  • 0:19 - 0:20
    that were dark in that map.
  • 0:21 - 0:23
    I study health systems in these countries.
  • 0:23 - 0:25
    And one of the major gaps in care,
  • 0:25 - 0:26
    almost across the board,
  • 0:26 - 0:29
    is access to safe surgery.
  • 0:29 - 0:31
    Now one of the major
    bottlenecks that we've found
  • 0:31 - 0:35
    that's sort of preventing
    both the access in the first place,
  • 0:35 - 0:38
    and the safety of those surgeries
    that do happen, is anesthesia.
  • 0:39 - 0:41
    And actually, it's the model
    that we expect to work
  • 0:41 - 0:44
    for delivering anesthesia
    in these environments.
  • 0:44 - 0:48
    Here, we have a scene that you would find
    in any operating room across the US,
  • 0:49 - 0:50
    or any other developed country.
  • 0:50 - 0:51
    In the background there
  • 0:52 - 0:54
    is a very sophisticated
    anesthesia machine.
  • 0:54 - 0:58
    And this machine is able
    to enable surgery and save lives
  • 0:58 - 1:02
    because it was designed
    with this environment in mind.
  • 1:02 - 1:05
    In order to operate,
    this machine needs a number of things
  • 1:05 - 1:07
    that this hospital has to offer.
  • 1:07 - 1:10
    It needs an extremely
    well-trained anesthesiologist
  • 1:10 - 1:12
    with years of training
    with complex machines
  • 1:12 - 1:15
    to help her monitor the flows of the gas
  • 1:15 - 1:17
    and keep her patients
    safe and anesthetized
  • 1:18 - 1:19
    throughout the surgery.
  • 1:19 - 1:22
    It's a delicate machine
    running on computer algorithms,
  • 1:22 - 1:26
    and it needs special care, TLC,
    to keep it up and running,
  • 1:26 - 1:28
    and it's going to break pretty easily.
  • 1:28 - 1:31
    And when it does, it needs
    a team of biomedical engineers
  • 1:31 - 1:34
    who understand its complexities,
    can fix it, can source the parts
  • 1:34 - 1:36
    and keep it saving lives.
  • 1:37 - 1:39
    It's a pretty expensive machine.
  • 1:39 - 1:41
    It needs a hospital
    whose budget can allow it
  • 1:41 - 1:46
    to support one machine
    costing upwards of 50 or $100,000.
  • 1:47 - 1:49
    And perhaps most obviously,
  • 1:49 - 1:50
    but also most importantly --
  • 1:50 - 1:53
    and the path to concepts
    that we've heard about
  • 1:53 - 1:54
    kind of illustrates this --
  • 1:54 - 2:00
    it needs infrastructure that can supply
    an uninterrupted source of electricity,
  • 2:00 - 2:03
    of compressed oxygen,
    and other medical supplies
  • 2:03 - 2:07
    that are so critical
    to the functioning of this machine.
  • 2:07 - 2:11
    In other words, this machine
    requires a lot of stuff
  • 2:11 - 2:13
    that this hospital cannot offer.
  • 2:13 - 2:16
    This is the electrical supply
    for a hospital in rural Malawi.
  • 2:17 - 2:18
    In this hospital,
  • 2:18 - 2:21
    there is one person qualified
    to deliver anesthesia,
  • 2:21 - 2:22
    and she's qualified
  • 2:22 - 2:27
    because she has 12, maybe 18 months
    of training in anesthesia.
  • 2:27 - 2:29
    In the hospital and in the entire region
  • 2:29 - 2:31
    there's not a single biomedical engineer.
  • 2:31 - 2:33
    So when this machine breaks,
  • 2:33 - 2:35
    the machines that they have
    to work with break,
  • 2:35 - 2:37
    they've got to try and figure it out,
  • 2:37 - 2:39
    but most of the time,
    that's the end of the road.
  • 2:39 - 2:41
    Those machines go the proverbial junkyard.
  • 2:42 - 2:45
    And the price tag
    of the machine that I mentioned
  • 2:45 - 2:47
    could represent maybe a quarter or a third
  • 2:47 - 2:50
    of the annual operating budget
    for this hospital.
  • 2:51 - 2:54
    And finally, I think you can see
    that infrastructure is not very strong.
  • 2:54 - 2:57
    This hospital is connected
    to a very weak power grid,
  • 2:57 - 2:59
    one that goes down frequently.
  • 2:59 - 3:01
    So it runs frequently,
    the entire hospital,
  • 3:01 - 3:03
    just on a generator.
  • 3:03 - 3:05
    And you can imagine,
    the generator breaks down
  • 3:05 - 3:06
    or runs out of fuel.
  • 3:07 - 3:09
    And the World Bank sees this
  • 3:09 - 3:12
    and estimates that a hospital
    in this setting in a low-income country
  • 3:12 - 3:15
    can expect up to
    18 power outages per month.
  • 3:17 - 3:20
    Similarly, compressed oxygen
    and other medical supplies
  • 3:20 - 3:21
    are really a luxury,
  • 3:21 - 3:25
    and can often be out of stock
    for months or even a year.
  • 3:25 - 3:28
    So it seems crazy, but the model
    that we have right now
  • 3:28 - 3:30
    is taking those machines
    that were designed
  • 3:30 - 3:32
    for that first environment
    that I showed you
  • 3:33 - 3:36
    and donating or selling them
    to hospitals in this environment.
  • 3:37 - 3:39
    It's not just inappropriate,
  • 3:39 - 3:41
    it becomes really unsafe.
  • 3:42 - 3:44
    One of our partners at Johns Hopkins
  • 3:44 - 3:49
    was observing surgeries in Sierra Leone
    about a year ago.
  • 3:49 - 3:53
    And the first surgery of the day
    happened to be an obstetrical case.
  • 3:53 - 3:56
    A woman came in,
    she needed an emergency C-section
  • 3:56 - 3:58
    to save her life and the life of her baby.
  • 3:59 - 4:01
    And everything began pretty auspiciously.
  • 4:01 - 4:03
    The surgeon was on call and scrubbed in.
  • 4:03 - 4:04
    The nurse was there.
  • 4:04 - 4:07
    She was able to anesthetize her quickly,
    and it was important
  • 4:07 - 4:10
    because of the emergency
    nature of the situation.
  • 4:10 - 4:11
    And everything began well
  • 4:14 - 4:16
    until the power went out.
  • 4:17 - 4:19
    And now in the middle of this surgery,
  • 4:19 - 4:22
    the surgeon is racing
    against the clock to finish his case,
  • 4:22 - 4:24
    which he can do -- he's got a headlamp.
  • 4:24 - 4:28
    But the nurse is literally running
    around a darkened operating theater
  • 4:28 - 4:31
    trying to find anything
    she can use to anesthetize her patient,
  • 4:31 - 4:33
    to keep her patient asleep.
  • 4:33 - 4:36
    Because her machine doesn't work
    when there's no power.
  • 4:37 - 4:40
    This routine surgery that many of you
    have probably experienced,
  • 4:40 - 4:45
    and others are probably the product of,
    has now become a tragedy.
  • 4:46 - 4:49
    And what's so frustrating
    is this is not a singular event;
  • 4:49 - 4:51
    this happens across the developing world.
  • 4:51 - 4:54
    35 million surgeries
    are attempted every year
  • 4:54 - 4:56
    without safe anesthesia.
  • 4:57 - 5:00
    My colleague, Dr. Paul Fenton,
    was living this reality.
  • 5:00 - 5:01
    He was the chief of anesthesiology
  • 5:02 - 5:04
    in a hospital in Malawi,
    a teaching hospital.
  • 5:05 - 5:06
    He went to work every day
  • 5:06 - 5:08
    in an operating theater like this one,
  • 5:08 - 5:11
    trying to deliver anesthesia
    and teach others how to do so
  • 5:11 - 5:12
    using that same equipment
  • 5:12 - 5:17
    that became so unreliable,
    and frankly unsafe, in his hospital.
  • 5:18 - 5:19
    And after umpteen surgeries
  • 5:19 - 5:22
    and, you can imagine,
    really unspeakable tragedy,
  • 5:22 - 5:24
    he just said, "That's it.
    I'm done. That's enough.
  • 5:24 - 5:26
    There has to be something better."
  • 5:27 - 5:28
    He took a walk down the hall
  • 5:28 - 5:32
    to where they threw all those machines
    that had just crapped out on them,
  • 5:32 - 5:33
    I think that's the scientific term,
  • 5:33 - 5:35
    and he started tinkering.
  • 5:35 - 5:37
    He took one part from here
    and another from there,
  • 5:37 - 5:40
    and he tried to come up
    with a machine that would work
  • 5:40 - 5:41
    in the reality that he was facing.
  • 5:42 - 5:43
    And what he came up with:
  • 5:43 - 5:45
    was this guy.
  • 5:45 - 5:48
    The prototype for the Universal
    Anesthesia Machine --
  • 5:48 - 5:52
    a machine that would work
    and anesthetize his patients
  • 5:52 - 5:55
    no matter the circumstances
    that his hospital had to offer.
  • 5:56 - 5:57
    Here it is, back at home
  • 5:57 - 6:01
    at that same hospital, developed
    a little further, 12 years later,
  • 6:01 - 6:04
    working on patients
    from pediatrics to geriatrics.
  • 6:04 - 6:07
    Let me show you a little bit
    about how this machine works.
  • 6:07 - 6:09
    Voila!
  • 6:10 - 6:11
    Here she is.
  • 6:11 - 6:13
    When you have electricity,
  • 6:13 - 6:16
    everything in this machine
    begins in the base.
  • 6:16 - 6:18
    There's a built-in
    oxygen concentrator down there.
  • 6:18 - 6:21
    Now you've heard me mention
    oxygen a few times at this point.
  • 6:21 - 6:25
    Essentially, to deliver anesthesia,
    you want as pure oxygen as possible,
  • 6:25 - 6:29
    because eventually you're going
    to dilute it, essentially, with the gas.
  • 6:29 - 6:31
    And the mixture that the patient inhales
  • 6:31 - 6:33
    needs to be at least
    a certain percentage oxygen
  • 6:33 - 6:35
    or else it can become dangerous.
  • 6:35 - 6:37
    But so in here when there's electricity,
  • 6:37 - 6:40
    the oxygen concentrator takes in room air.
  • 6:40 - 6:43
    Now we know room air is gloriously free,
  • 6:43 - 6:45
    it is abundant,
  • 6:45 - 6:47
    and it's already 21 percent oxygen.
  • 6:47 - 6:51
    So all this concentrator does
    is take that room air in, filter it
  • 6:51 - 6:54
    and send 95 percent pure oxygen
    up and across here,
  • 6:54 - 6:57
    where it mixes with the anesthetic agent.
  • 6:57 - 7:01
    Now before that mixture
    hits the patient's lungs,
  • 7:01 - 7:03
    it's going to pass by here --
    you can't see it,
  • 7:03 - 7:05
    but there's an oxygen sensor here --
  • 7:05 - 7:09
    that's going to read out on this screen
    the percentage of oxygen being delivered.
  • 7:10 - 7:12
    Now if you don't have power,
  • 7:12 - 7:15
    or, God forbid, the power cuts out
    in the middle of a surgery,
  • 7:15 - 7:18
    this machine transitions automatically,
  • 7:18 - 7:20
    without even having to touch it,
  • 7:20 - 7:22
    to drawing in room air from this inlet.
  • 7:22 - 7:24
    Everything else is the same.
  • 7:24 - 7:25
    The only difference is that now
  • 7:25 - 7:28
    you're only working
    with 21 percent oxygen.
  • 7:29 - 7:32
    Now that used to be
    a dangerous guessing game,
  • 7:32 - 7:34
    because you only knew
    if you gave too little oxygen
  • 7:34 - 7:36
    once something bad happened.
  • 7:36 - 7:38
    But we've put a long-life
    battery backup on here.
  • 7:38 - 7:40
    This is the only part
    that's battery backed up.
  • 7:41 - 7:44
    But this gives control to the provider,
    whether there's power or not,
  • 7:44 - 7:46
    because they can adjust the flows
  • 7:46 - 7:50
    based on the percentage of oxygen
    they see that they're giving the patient.
  • 7:50 - 7:53
    In both cases,
    whether you have power or not,
  • 7:53 - 7:55
    sometimes the patient
    needs help breathing.
  • 7:55 - 7:58
    It's just a reality of anesthesia,
    the lungs can be paralyzed.
  • 7:58 - 8:00
    And so we've just added
    this manual bellows.
  • 8:00 - 8:03
    We've seen surgeries
    for three or four hours
  • 8:03 - 8:05
    to ventilate the patient on this.
  • 8:06 - 8:09
    So it's a straightforward machine.
  • 8:09 - 8:12
    I shudder to say simple;
    it's straightforward.
  • 8:12 - 8:14
    And it's by design.
  • 8:14 - 8:20
    You do not need to be a highly trained,
    specialized anesthesiologist
  • 8:20 - 8:21
    to use this machine,
  • 8:21 - 8:24
    which is good because,
    in these rural district hospitals,
  • 8:24 - 8:26
    you're not going to get
    that level of training.
  • 8:27 - 8:30
    It's also designed for the environment
    that it will be used in.
  • 8:30 - 8:32
    This is an incredibly rugged machine.
  • 8:32 - 8:35
    It has to stand up to the heat
    and the wear and tear
  • 8:35 - 8:38
    that happens in hospitals
    in these rural districts.
  • 8:38 - 8:41
    And so it's not going
    to break very easily,
  • 8:41 - 8:44
    but if it does, virtually
    every piece in this machine
  • 8:44 - 8:46
    can be swapped out and replaced
  • 8:46 - 8:48
    with a hex wrench and a screwdriver.
  • 8:50 - 8:52
    And finally, it's affordable.
  • 8:52 - 8:56
    This machine comes in
    at an eighth of the cost
  • 8:56 - 8:59
    of the conventional machine
    that I showed you earlier.
  • 8:59 - 9:03
    So in other words, what we have here
    is a machine that can enable surgery
  • 9:03 - 9:04
    and save lives,
  • 9:04 - 9:07
    because it was designed
    for its environment,
  • 9:07 - 9:10
    just like the first machine I showed you.
  • 9:10 - 9:12
    But we're not content to stop there.
  • 9:12 - 9:13
    Is it working?
  • 9:13 - 9:16
    Is this the design
    that's going to work in place?
  • 9:16 - 9:17
    Well, we've seen good results so far.
  • 9:18 - 9:21
    This is in 13 hospitals in four countries,
  • 9:21 - 9:25
    and since 2010, we've done
    well over 2,000 surgeries
  • 9:25 - 9:27
    with no clinically adverse events.
  • 9:27 - 9:29
    So we're thrilled.
  • 9:29 - 9:33
    This really seems like
    a cost-effective, scalable solution
  • 9:33 - 9:35
    to a problem that's really pervasive.
  • 9:36 - 9:37
    But we still want to be sure
  • 9:37 - 9:40
    that this is the most effective
    and safe device
  • 9:40 - 9:42
    that we can be putting into hospitals.
  • 9:42 - 9:44
    So to do that, we've launched
    a number of partnerships
  • 9:44 - 9:46
    with NGOs and universities,
  • 9:46 - 9:48
    to gather data on the user interface,
  • 9:48 - 9:51
    on the types of surgeries
    it's appropriate for,
  • 9:51 - 9:53
    and ways we can enhance the device itself.
  • 9:54 - 9:56
    One of those partnerships
    is with Johns Hopkins
  • 9:56 - 9:58
    just here in Baltimore.
  • 9:58 - 10:02
    They have a really cool anesthesia
    simulation lab out in Baltimore.
  • 10:02 - 10:04
    So we're taking this machine
  • 10:04 - 10:08
    and recreating some
    of the operating theater crises
  • 10:08 - 10:10
    that this machine might face
  • 10:10 - 10:12
    in one of the hospitals
    that it's intended for,
  • 10:12 - 10:14
    and in a contained, safe environment,
  • 10:14 - 10:16
    evaluating its effectiveness.
  • 10:17 - 10:20
    We're then able to compare
    the results from that study
  • 10:20 - 10:22
    with real-world experience,
  • 10:22 - 10:24
    because we're putting
    two of these in hospitals
  • 10:24 - 10:26
    that Johns Hopkins
    works with in Sierra Leone,
  • 10:26 - 10:29
    including the hospital
    where that emergency C-section happened.
  • 10:31 - 10:34
    So I've talked a lot about anesthesia,
    and I tend to do that.
  • 10:34 - 10:38
    I think it is incredibly fascinating
    and an important component of health.
  • 10:38 - 10:40
    And it really seems peripheral,
    we never think about it,
  • 10:41 - 10:43
    as he said when he was introducing me,
  • 10:43 - 10:45
    until we don't have access to it,
  • 10:46 - 10:48
    and then it becomes a gatekeeper.
  • 10:48 - 10:50
    Who gets surgery and who doesn't?
  • 10:50 - 10:53
    Who gets safe surgery and who doesn't?
  • 10:53 - 10:56
    But you know,
    it's just one of so many ways
  • 10:56 - 10:59
    that design, appropriate design,
  • 10:59 - 11:01
    can have an impact on health outcomes.
  • 11:02 - 11:04
    If more people
    in the health-delivery space
  • 11:04 - 11:07
    really working on some of these
    challenges in low-income countries
  • 11:07 - 11:11
    could start their design process,
    their solution search,
  • 11:11 - 11:13
    from outside of that proverbial box
  • 11:13 - 11:15
    and inside of the hospital --
  • 11:15 - 11:17
    In other words, if we could design
  • 11:17 - 11:20
    for the environment that exists
    in so many parts of the world,
  • 11:20 - 11:23
    rather than the one
    that we wished existed --
  • 11:24 - 11:27
    we might just save a lot of lives.
  • 11:27 - 11:28
    Thank you very much.
  • 11:28 - 11:33
    (Applause)
Title:
The universal anesthesia machine | Erica Frenkel | TEDxMidAtlantic
Description:

What if you're in surgery and the power goes out? No lights, no oxygen -- and your anesthesia stops flowing. It happens constantly in hospitals throughout the world, turning routine procedures into tragedies. Erica Frenkel demos one solution: the universal anesthesia machine.

more » « less
Video Language:
English
Team:
closed TED
Project:
TEDxTalks
Duration:
11:34

English subtitles

Revisions Compare revisions