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PATIENT SAFETY
Successes and Wins in the Industry from an IT Perspective
Brandon Donnelly, CTO, Matrix IT Medical Tracking Systems
The Healthcare
Unicorn
 Patient care should be
conservative; our IT
systems should not.
 Silicon Valley has taken
notice and is moving to
disrupt and innovate.
 We must do a better job
of understanding and
embracing technology.
The IT Perspective
 The greatest fear in
healthcare is rapid change.
 Antiquated methods and
systems are expensive,
inefficient and put patients
at greater risk.
 Advances in hardware and
software systems can
reduce costs, increase
efficiency, and make our
lives easier like never
before.
Data
 Data is powerful.
 Data needs to be shared.
 Data saves lives.
Connections
 Think of your data like a television series, there is an overarching plot broken down into
individual stories.
 By semantically mapping out connected occurrences, we can learn more about what
root and subsequent causes of problems are.
 What you now have is both upstream and downstream visibility of your hospital.
Technology’s
Problem
 There is a steep learning curve.
 Adoption can be expensive.
 All of the benefits aren’t easily visible.
 Not all technology is useful.
Human Factors
 We’re all unique,
technology levels the
playing field.
 Adoption requires intuitive
design.
 The greatest challenge is
convincing somebody that
learning new technology
will benefit them.
Change
Management
 The single most important
piece of technology
adoption.
 Unfreeze and plan your
integration.
 Change and implement.
 Freeze and lock in the
adopted technology.
The Need For
Disruption
 Costs increase while
reimbursement
stagnates.
 The next great leap in
healthcare will be
technology driven.
 Sometimes we need to
breakdown institutions in
order to rebuild better
ones.
Blueberry Castle
Scan, document, analyze.
AIDC Technology
Unique Device
Identification
 Every product must have a unique
identifier.
 Capturing these codes are tied to
Meaningful Use 3 reimbursement.
 A global movement.
Blueberry Castle
 40 hospitals, 7 countries, 2
governments.
 Public, non-profit, and
private combine forces.
 Drastically cut OR
documentation time.
 Use big data to solve big
problems.
Our Wheeling Experiment
Findings
 Data entry errors reduced by 100%
 Documentation time drastically reduced.
 Inventory usage became visible.
 The surgical process was not interrupted.
The Power of
Automation
 Let’s users focus on their job, not
their paperwork.
 Provides repeatable, accurate
results with deviation or error.
 Allows real time access to critical
data (e.g., recalls), while
providing insights into the way
things are done for process
improvement.
Industry Pushback
Against Innovation
 Data brings transparency;
there will be winners and
losers.
 Why change what is
perceived to not be
broken?
 Disruptive technology
shifts resources.
What Do I Do?
 Identify areas of manual
processes or inefficiency.
 Assess practical and beneficial.
 Implement, change, and train.
 Support your OIT.
Conclusions
 Treatments should be
conservative, our use of
technology should not.
 Caregivers should focus
on providing care, not
documentation.
 Data is powerful, the
industry needs to
collaborate and share.
Questions?

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IT Patient Safety Successes

  • 1. PATIENT SAFETY Successes and Wins in the Industry from an IT Perspective Brandon Donnelly, CTO, Matrix IT Medical Tracking Systems
  • 2. The Healthcare Unicorn  Patient care should be conservative; our IT systems should not.  Silicon Valley has taken notice and is moving to disrupt and innovate.  We must do a better job of understanding and embracing technology.
  • 3. The IT Perspective  The greatest fear in healthcare is rapid change.  Antiquated methods and systems are expensive, inefficient and put patients at greater risk.  Advances in hardware and software systems can reduce costs, increase efficiency, and make our lives easier like never before.
  • 4. Data  Data is powerful.  Data needs to be shared.  Data saves lives.
  • 5. Connections  Think of your data like a television series, there is an overarching plot broken down into individual stories.  By semantically mapping out connected occurrences, we can learn more about what root and subsequent causes of problems are.  What you now have is both upstream and downstream visibility of your hospital.
  • 6. Technology’s Problem  There is a steep learning curve.  Adoption can be expensive.  All of the benefits aren’t easily visible.  Not all technology is useful.
  • 7. Human Factors  We’re all unique, technology levels the playing field.  Adoption requires intuitive design.  The greatest challenge is convincing somebody that learning new technology will benefit them.
  • 8. Change Management  The single most important piece of technology adoption.  Unfreeze and plan your integration.  Change and implement.  Freeze and lock in the adopted technology.
  • 9. The Need For Disruption  Costs increase while reimbursement stagnates.  The next great leap in healthcare will be technology driven.  Sometimes we need to breakdown institutions in order to rebuild better ones.
  • 12. Unique Device Identification  Every product must have a unique identifier.  Capturing these codes are tied to Meaningful Use 3 reimbursement.  A global movement.
  • 13. Blueberry Castle  40 hospitals, 7 countries, 2 governments.  Public, non-profit, and private combine forces.  Drastically cut OR documentation time.  Use big data to solve big problems.
  • 15. Findings  Data entry errors reduced by 100%  Documentation time drastically reduced.  Inventory usage became visible.  The surgical process was not interrupted.
  • 16. The Power of Automation  Let’s users focus on their job, not their paperwork.  Provides repeatable, accurate results with deviation or error.  Allows real time access to critical data (e.g., recalls), while providing insights into the way things are done for process improvement.
  • 17. Industry Pushback Against Innovation  Data brings transparency; there will be winners and losers.  Why change what is perceived to not be broken?  Disruptive technology shifts resources.
  • 18. What Do I Do?  Identify areas of manual processes or inefficiency.  Assess practical and beneficial.  Implement, change, and train.  Support your OIT.
  • 19. Conclusions  Treatments should be conservative, our use of technology should not.  Caregivers should focus on providing care, not documentation.  Data is powerful, the industry needs to collaborate and share.

Editor's Notes

  1. 1. Our healthcare system has always been prided on being progressive in development but still conservative as to preserve human life and patient care. The problem with this mindset is that this often trickles down to the adoption of new technology. So often, life saving tools, necessary steps of cyber security, and our approaches to implementing truly impactful systems can be hampered due to misunderstanding of needs. 2. Amazon is getting rid of the checkout line in retail, barcodes have been used for years, and we are moving to a cashless retail experience. Simple additions can translate to big wins in the healthcare industry and the integration of pre-existing technology will have a profound impact. 3. My niece picked up an iPhone and started using it when she was 3, the newer generations intuitively know and grow up with technology and we have to do our best to stay relevant and keep up.
  2. 1. Technology moves fast,
  3. Talk about looking at health data to solve problems on a macro scale like disease cures, infrastructure… also the bad. Healthcare has this problem where stakeholders bunch their data up and don’t want to share or make the movement of data easily available. Machine learning can look at patterns and find commonalities at a multiplied rate of scale that lets humans make better informed decisions.
  4. One day I know how to use my phone and then a software update happens and I have to relearn everything over. Software and hardware development is expensive and when you add in training, service, warranty, customization, in servicing, and the rate of change, you have to ask yourself is this worth it? Maybe something saves 20 minutes of my day, what is that worth? What if something saves $10 in an upstream or downstream process, how do I detect that value? Often times we don’t understand the true impact that technology can have on an organization. Coming from Silicon Valley, I’m sorry to say that while we develop a lot of amazing and revolutionary products, we also have some that do very little or can even hinder a person’s day. But it’s not all bad, despite these problems, technology often times creates far more value than anticipated.
  5. I have terrible hearing, my sister wears glasses, we all have quirks that create deviations in our standard process. Technology helps level the playing field, like the scientific method, the yielded expected output is to have repeatable and consistent results. Why do so many people like the iPhone? A device or software has to be simple, easy to use, and work with the user on a foundational psychological level. We have to design products that are giving the user what they need, often times this isn’t what they’re asking for. We all hear about the tried and true methods, so change management and demonstrating the overall personal benefit to an end user generally is more effective than trying to explain external benefits.
  6. Everybody is upset with the cost of healthcare and we’re in this pseudo state run government healthcare system that is leading to increased costs of care while the average reimbursement has done nothing but stagnate. We will start to see the Microsoft’s and Google’s enter the market (more on that in a minute), and start to fundamentally force change. Established norms of healthcare procedure, just the the implementation of the EHR will enter into the market and through this evolution we will see drastic increases in efficiency and savings.