Patient Safety Movement - National Academy of … · Patient Safety Movement • Goals of Patient...

11
© 2016 Masimo. All Rights Reserved. Confidential. Patient Safety Movement Goals of Patient Safety Movement No preventable deaths in hospitals by by 2020 Unify the healthcare ecosystem Commitment Based Model-Hospitals Commit by Implementing Process APSS). MedTech Companies Commit by Sharing their Data 1,6000 hospitals had implemented the APSS in January In January, 24,643 lives were reported saved annually by these hospitals 90+ companies have pledged to share their data, creating an ecosystem for predictive algorithm development

Transcript of Patient Safety Movement - National Academy of … · Patient Safety Movement • Goals of Patient...

Page 1: Patient Safety Movement - National Academy of … · Patient Safety Movement • Goals of Patient Safety Movement –No preventable deaths in hospitals by by 2020 –Unify the healthcare

© 2016 Masimo. All Rights Reserved. Confidential.

Patient Safety Movement

• Goals of Patient Safety Movement

– No preventable deaths in hospitals by by 2020

– Unify the healthcare ecosystem

– Commitment Based Model-Hospitals Commit by Implementing Process

APSS). MedTech Companies Commit by Sharing their Data

– 1,6000 hospitals had implemented the APSS in January

– In January, 24,643 lives were reported saved annually by these hospitals

– 90+ companies have pledged to share their data, creating an ecosystem for

predictive algorithm development

Page 2: Patient Safety Movement - National Academy of … · Patient Safety Movement • Goals of Patient Safety Movement –No preventable deaths in hospitals by by 2020 –Unify the healthcare

© 2016 Masimo. All Rights Reserved. Confidential.

Evolution of Clinical Practice Data Storage and Retrieval

Page 3: Patient Safety Movement - National Academy of … · Patient Safety Movement • Goals of Patient Safety Movement –No preventable deaths in hospitals by by 2020 –Unify the healthcare

© 2016 Masimo. All Rights Reserved. Confidential.

Benefits

• Continuous monitoring enables temporal view of physiological change1

• Improved accuracy due to automated collection, transfer, and storage2

• Ability to predict and respond to impending critical events3, 4

• Reduction in length of stay5

• Increased survival6

• Improved mortality6

1 Hendrich, A. et. al., The Permanente Journal (2008) V12:3 2 Taenzer et. al., STA Journal (2014) V118:2 3 Alvarez et al. BMC Medical Informatics and Decision Making (2013) 13:28 4 Duncan et. Al., Journal of Critical Care (2006) 21, 271– 279 5 Brown et. Al., The American Journal of Medicine (2014) 127, 226-232 6 Bellomo et. al., Crit Care Med (2012) 40:2349-2360

Page 4: Patient Safety Movement - National Academy of … · Patient Safety Movement • Goals of Patient Safety Movement –No preventable deaths in hospitals by by 2020 –Unify the healthcare

© 2016 Masimo. All Rights Reserved. Confidential.

What is the current status?

• Clinical Support Systems – Existing scoring systems were designed during a time when the

amount of data was limited

– Current research includes advances in data mining and artificial

intelligence

• Statistical clustering models, neural network “deep learning”

• Moore’s law, e.g., GPU technology, storage capacity

improvements, and other “big data” advances

• These systems require large amountsof sample data in order

to produce useful models

• Now that the Ecosystem is born-the Work can begin

Page 5: Patient Safety Movement - National Academy of … · Patient Safety Movement • Goals of Patient Safety Movement –No preventable deaths in hospitals by by 2020 –Unify the healthcare

© 2016 Masimo. All Rights Reserved. Confidential.

Deep Learning Analysis

Researchers have developed deep learning systems that are designed to:

• Generate predictive models to alert clinicians to events before they happen7

• Predict physiological conditions in critical patients8

• Explain why predictions were made9

• Interpret natural language processing (IBM Watson)10

7 Marlin et al, doi 10.1145/2110363.2110408

8 [Che et al, doi 10.1145/2783258.2783365]

9 Luo [doi 10.1186/s13755-016-0015-4]

10Healthcare Data Analytics: ISBN 978-1-4822-3212-7 p. 106

Page 6: Patient Safety Movement - National Academy of … · Patient Safety Movement • Goals of Patient Safety Movement –No preventable deaths in hospitals by by 2020 –Unify the healthcare

© 2016 Masimo. All Rights Reserved. Confidential.

Clinical Research and Clinical Practice

• This conference is promoting open science for the acceleration

of discovery and development of evidence through secondary

use of clinical trial data

• The experience and methods developed in integrating clinical

practice data can be applied to the clinical research ecosystem

• First, get healthcare companies & researchers commit to share

Page 7: Patient Safety Movement - National Academy of … · Patient Safety Movement • Goals of Patient Safety Movement –No preventable deaths in hospitals by by 2020 –Unify the healthcare

© 2016 Masimo. All Rights Reserved. Confidential.

Joe Kiani

• Founder, Chairman & CEO of Masimo

• Founder and Chairman of the Patient Safety Movement Foundation

• Founder and Chairman of the Masimo Foundation for Ethics, Innovation, and Competition in Healthcare

• Founder, Chairman & CEO of Cercacor

• Member of the Board of Directors at Children’s Hospital of Orange County (CHOC)

• President’s Cabinet, Chapman University

Page 8: Patient Safety Movement - National Academy of … · Patient Safety Movement • Goals of Patient Safety Movement –No preventable deaths in hospitals by by 2020 –Unify the healthcare

© 2016 Masimo. All Rights Reserved. Confidential.

Clinical Trial Data vs Clinical Practice Data

• Data from clinical trials can come from many

sources, and take many forms.

• Standardization of data collection methods and

repository structure across studies will facilitate

ease of transfer and re-use.

• As in clinical trials, data from clinical practice comes

from many sources and takes many forms.

• So far 94 medical device companies have pledged

to put patients first by creating an ecosystem of

shared data

Page 9: Patient Safety Movement - National Academy of … · Patient Safety Movement • Goals of Patient Safety Movement –No preventable deaths in hospitals by by 2020 –Unify the healthcare

© 2016 Masimo. All Rights Reserved. Confidential.

Bridging the Worlds

• The clinical trial landscape is not as evolved as

that in clinical practice.

• Manual interaction with clinical trial data can be

found at every step from collection, to storage

and retrieval, to analysis and eventually to

collaboration.

• Standardizing and automating the collection and

handling of clinical trial data will bring benefits

seen in clinical practice.

Page 10: Patient Safety Movement - National Academy of … · Patient Safety Movement • Goals of Patient Safety Movement –No preventable deaths in hospitals by by 2020 –Unify the healthcare

© 2016 Masimo. All Rights Reserved. Confidential.

What we can Learn and Apply

• The evolution of in-hospital data storage and

retrieval is continuing. Data once stored in

paper records distributed across hospital

departments has become more centrally

accessible.

• Advances improving the clinical practice

ecosystem should be included in clinical

research collaboration and data repositories.

Page 11: Patient Safety Movement - National Academy of … · Patient Safety Movement • Goals of Patient Safety Movement –No preventable deaths in hospitals by by 2020 –Unify the healthcare

© 2016 Masimo. All Rights Reserved. Confidential.

How do we move forward?

• Clinical Data Exchange Ecosystem will help

pave the way for Clinical Support

• Clinical trials conducted with the commercial

adoption of the clinical data exchange

ecosystem will lead to changes and

improvements in the system overall