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  • Isn't it amazing how the sounds of a hospital can trigger memory, a moment where you might have felt fear where you felt anxious, maybe even hope?

  • We're just helpless.

  • The beating of a heart rate monitor, the smell of disinfectant, right?

  • The shuffling of feet and paper, the murmuring of voices For the last century, it's amazing that doctors and nurses and the medical teams have really worked with sound.

  • Great alarms have been unnecessary noise for doctors to provide care.

  • How's the patient doing?

  • Where should the medical staff focus?

  • But there's also repercussions of the noise as well.

  • Think about it.

  • How does a patient rest post surgery or think about the alarms?

  • Did the alarm trigger the patient?

  • Or did the patient trigger the alarm or the medical staff?

  • Doctors, nurses?

  • They're working 12 hours.

  • How do you not get tired of that noise?

  • So the question is, why are we bound to noise and why are we bound to alarms?

  • I would argue that it's fear, fear of change.

  • Fear keeps us bound to the things that we know rather than take a step toward what we don't.

  • So now let's imagine a completely different future.

  • No noise every second.

  • Some change happens.

  • But if you think about these places, too, their intensive care units in particular they're highly complex, with multiple monitoring systems.

  • And we tend to focus on the beeping because of our inability to synthesize the sheer volume of noise.

  • Just look at this very complicated, right?

  • So now let's imagine a different future.

  • A patient resting quietly, family members close by and the doctor with the full context of the patient's information all let her fingertips just imagine helmets frightening and more healing oven environment.

  • This could possibly be big data is helping make this possible?

  • Let me share some fax about the data in the hospital.

  • Did you know that a single patient in one day can generate over 100 million data points over 100 million data points, and a single patient can also generate over 1000 alarms?

  • By the way, 90% of those alarms are completely in actionable, meaning that the doctors don't use them and they just simply float off into space.

  • More than 200 times.

  • Sensitive variables can impact a doctor's diagnosis in a given moment.

  • So rather than having to wait precious minutes.

  • Now it's possible for a doctor to share that information across multiple geographic organizations and geographic locations all in real time.

  • And just imagine all that information coming back to her just in seconds.

  • And that insight, collective Insight can empower her to be, ah, more focused doctor with the collective insights from streaming real time streaming data.

  • When we think about the revolutions that's happening in the health care area and we think about what's possible, we're also applying new capabilities like real time stream computing.

  • It's a revolutionary, big data technology that saving lives and being applied in the health care industry along with other industries.

  • It has the ability to process all that information that we just talked about that previously.

  • We're not even used to now be able to process that much more in real time.

  • Now, when you think about streaming technology and analytics, one of the visual analogies I often use is actually from the movie The Matrix.

  • You remember that fighting scene where bullets air like Sean it neo, the main character played by counter Reeves, and all of a sudden the camera goes into slow motion and you see the bullets span, you know, frozen in the air and the camera spans 360 degrees the entire scene that stream computing.

  • It has the ability to sense patterns and anomalies in real time and begin to understand and give people and systems an opportunity to respond.

  • Just in the nick of time, the power stream computing cannot be overestimated.

  • It can also be placed in areas off, for example, audio and sound.

  • So think about in the hospital when a baby's diapers changed or a nurse comes in and draws blood from a patient.

  • Or there's a loud, unexpected noise outside in the hallway.

  • The patient's vitals change Now imagine a system that can watch and listen for these changes and adjust the analytics in real time to account for them now.

  • This highly complex capability requires tremendous partnership with thought leaders in the medical community, and IBM is teeming with the number of pioneers in the industry, including Dr Timothy Buckman.

  • He's applying advanced innovations to the intensive care unit.

  • He's a professor of surgery as well as the founding director of Emory Medical Centers Critical Care Center, and he uses a GPS analogy as away he'd like to see patient information.

  • So think about a GPS receiver that receives numbers and data from a satellite, and then you can be able to convert that into a situational americanus and a map.

  • But now, more importantly, you could actually map that back to a future projection of health, so you can perceive the data.

  • You could be Kent to comprehend it, but more importantly, you can project that understanding into the future and working with Dr Buckman.

  • He also reminds me that machines and analytics don't replace humans.

  • They empower them and they empower them because you're not waiting for a beep or alarm or dealing with an actual data.

  • You have the full context of that information about the patient, and you get to focus the human attention on the things that matter most.

  • We have to also begin to rethink and reimagine our professions and the flow of work and IBM, an airstrip are teaming together to begin to process all of that information that exists in the hospital and also begin to apply new capabilities in terms of mobile based solutions to integrate this information and also apply it to things like how the data is received from the hospital where the data could actually arrive before the patient does.

  • So.

  • Think about someone with a cardiac arrest more think about situations where the doctors away from the hospital and can begin to initiate the actual care in the process.

  • When you think about these mobile devices, then you begin to enable all types of information for the client and for the doctors and for the nurses and hospitals are already applying cognitive capabilities, advanced machine learning capabilities in the hospital.

  • We, the family members and friends also have a role to play in all of this.

  • We all know that helpless feeling of standing in a hospital kind of waiting for the prognosis of a loved one.

  • Ah, when I was pregnant with Jacob was so excited and nervous and researched all these things, and one of the things I never expected was that he would actually arrive early.

  • And it's one of those moments.

  • You just hold your breath until the doctor says everything's fine with the world of social data.

  • Now we have the ability to move from being passive observers Thio, you know, active contributors by providing the living and social Data prince.

  • That information could be integrated with all the other information into a well being planned for the patient.

  • We get to participate, we get to participate in new ways.

  • The evolution of the technology has accelerated.

  • Our ability to cross all boundaries in real telling, were entering an era where the collective insights can be shared and becomes even more critical.

  • Because of the hyper changing aspects of this world, everyone has an impact on everyone else.

  • A global network.

  • As we look at the future, we don't need to rely on Leon second opinions, but hundreds of thousands of Palestinians and millions of streaming data points that could be honed down into the right opinion for the one patient in the one moment.

  • With the help of big data, all this noise can't be gone, and silence can lead to deeper knowledge and healing for all of us.

Isn't it amazing how the sounds of a hospital can trigger memory, a moment where you might have felt fear where you felt anxious, maybe even hope?

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B1 patient data noise hospital information real time

Inhi Cho Suh: How to achieve more quality hospital care (with less noise)

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    林宜悉 posted on 2020/03/30
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