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How Data Science Is Transforming Cancer Treatment Scheduling | @CloudExpo #Cloud #BigData
A mathematical approach to improve infusion center wait times

How Data Science Is Transforming Cancer Treatment Scheduling
By Mohan Giridharadas, Founder & CEO, LeanTaaS iQueue

Anyone who has ever had the misfortune of dealing with a cancer diagnosis - either personally or as a caregiver to a friend or loved one - must have at some point wondered why they invariably had to wait well past their treatment appointment time, every time.

The root cause is that the healthcare scheduling system is broken. Healthcare providers are using a calculator, spreadsheets and standard electronic health record (EHR) templates to solve a math problem that demands a cluster of servers and data scientists to solve effectively.

Most EHRs use scheduling templates that have no real scheduling intelligence built in. In their efforts to be patient-centric, they typically subscribe to a first-come, first-served "hair salon" methodology. Even the best among them use gut-based rules of thumb to accommodate patient and staff needs for a particular appointment slot. The result is, in effect, the opposite of a patient-centric situation - a domino effect of longer wait times and unhappy patients and doctors.

Traditional approaches just don't hold water ...
Let's take a 35-chair infusion center that operates eight hours per day treating five types of appointments - 1 hour, 2 hours, 3-5 hours, 6-8 hours, or 9 or more hours. Four sets of patients can start their treatment at 10-minute intervals. That's 256 possible start times or "slots" per day. The number of ways those patients can be accommodated is a number with over 100 zeros behind it. By comparison, if you were to use 1-gallon milk jugs to hold all of the oceans' water, the number of jugs needed would have 40 zeros behind it. The chance of stumbling upon the most effective scheduling arrangement using the same approach as your neighborhood hair salon or oil change shop is, for practical purposes, nonexistent. Here's what the math looks like:

With those odds, it is clear that simple spreadsheets or traditional EHR approaches can never create an optimal solution for scheduling appointments.

Now, compound the scope of possible appointments with the reality of hospital variables, such as practitioner schedules, staff changes, patterns of demand, equipment maintenance, room availability, lab results and clinical trial events, and you can see why this becomes a very difficult formula to solve with simple math - and why you continue to wait, wait and wait some more. Add to that patient preference - most patients want appointments in the 10 a.m. to 2 p.m. range - and you end up with a schedule full of more holes than a block of Swiss cheese.

... But new approaches using data science can help lose the "wait"
Inspired by the likes of Toyota and just-in-time lean manufacturing practices, data science and mathematics are changing the face of healthcare scheduling and, in effect, making healthcare more accessible to more patients.

By taking a holistic review, data scientists are mining all scheduling patterns and possibilities specific to a center, as well as considering operational constraints across patient demand, practitioner and staffing schedules, and capital asset availability. From there, an algorithm is created that optimizes a schedule for the center to serve patients more uniformly throughout the day, versus the peaks and valleys of traditional scheduling systems. The end result promises more patients served, reduced cost of service, optimized equipment and facility utilization, and a whole lot less sitting in the waiting room.

This mathematical approach to infusion center scheduling is already delivering impressive results; providers like Stanford Health Care, UCHealth, NewYork-Presbyterian, Fox Chase Cancer Center, UCSF, the Huntsman Cancer Institute and many others are seeing wait times decreased by as much as 55 percent during peak hours. Put that in real-world terms: A one-hour wait becomes 27 minutes. Who wouldn't want a half-hour of waiting room time back?

As first published in MedCity News.

###

Mohan Giridharadas is an accomplished expert in lean methodologies. During his 18-year career at McKinsey & Company (where he was a senior partner/director for six years), he co-created the lean service operations practice and ran the North American lean manufacturing and service operations practices and the Asia-Pacific operations practice. He has helped numerous Fortune 500 companies drive operational efficiency with lean practices. As the founder and CEO of LeanTaaS (a lean and predictive analytics company), Mohan has worked closely with dozens of leading healthcare institutions including Stanford Health Care, UCHealth, UCSF, Wake Forest and more. Mohan holds a B.Tech from IIT Bombay, MS in Computer Science from Georgia Institute of Technology and an MBA from Stanford GSB. He is on the faculty of Continuing Education at Stanford University and UC Berkeley Haas School of Business and has been named by Becker's Hospital Review as one of the top entrepreneurs innovating in healthcare.

For more information on LeanTaaS iQueue, please visit https://iqueue.com/ and follow the company on Twitter https://twitter.com/LeanTaaS @LeanTaaS, Facebook at https://www.facebook.com/LeanTaaS and LinkedIn at https://www.linkedin.com/company/leantaas

About LeanTaaS Blog
LeanTaaS is a Silicon Valley software company whose offerings rely on advanced data science to significantly improve the operational performance of hospitals and clinics. Using LeanTaaS iQueue in conjunction with their existing EHR's, healthcare institutions are developing optimized schedules that are tailored to each site and can rapidly reduce patient wait times and operating costs while increasing patient access and satisfaction, care provider satisfaction, and asset utilization.

Presentation Slides
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights a...
Security, data privacy, reliability and regulatory compliance are critical factors when evaluating whether to move business applications fro...

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[Oct 31- Nov 2, 2017]


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Sponsorship opportunities are now open for WebRTC Summit 2017 Santa Clara, Oct 31-Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, and for WebRTC Summit 2018 New York, June 5-7, 2018, at the Javits Center in New York, NY. For sponsorship, exhibit opportunities and show prospectus, please contact Carmen Gonzalez, carmen (at) sys-con.com.



WebRTC Summit Silicon Valley All-Star Speakers Include

MATTHIEU
Octoblu

MAHADEV
Cisco

MCCARTHY
Bsquare

FELICIANO
AMDG

PAUL
VenueNext

SMITH
Eviot

BEAMER
goTraverse

GETTENS
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ReadyTalk

HERBERTS
Cityzen Data

REITBAUER
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WILLIAM-
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WOOD
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METRIC
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MONTES
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ARIOLA
Parasoft

HOLT
Daitan

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HAM

ReadyTalk

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NAMIE
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NAKA-
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Transparent
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BOYD
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WARD
DWE

MILLER
Covisint

EVAVOLD
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MEINER
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MEEHAN
Esri

WITECK
Citrix

LIANG
Rancher Labs

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Tego

ROWE
IBM Cloud

SKILLERN
Intel

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WebRTC Summit New York All-Star Speakers Include

CLELAND
HGST

VASILIOU
Catchpoint

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Electric Cloud

HINCH-
CLIFFE

7Summits

DE SOUZA
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RANDALL
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ARM-
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Vector

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KOCHER
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Cloud9

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BURINI

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ENDO
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HP

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CHEV

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TIL

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KRISHNAN

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CHOU
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CodeFutures

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Windstream

RAMA
MURTHY

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BOSTOCK
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DE MENO
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Rancher Labs

CRISWELL
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SINGH
IBM

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Emcien

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GERSMA

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EMC

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COLLISON
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LYNN
CodeFutures

SWARTZ
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HAM

SIOS

WILLIS
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KHABE
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NIKOLOV
GetClouder

DIETZE
Windstream

DALRY-
MPLE

EnterpriseDB

MAZZUCCO
TierPoint

RIVERA
WHOA.com

HERITAGE
Akana

SEYMOUR
6fusion

GIANNETTO
Author

CARTER
IBM

ROGERS
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Cloud Expo Silicon Valley All-Star Speakers

TESAR
Microsoft

MICKOS
HP

BHARGAVA
Intel

RILEY
Riverbed

DEVINE
IBM

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LYNN
HP

HINKLE
Citrix

KHAN
Solgenia

SINGH
Bigdata

BEACH
SendGrid

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IndependenceIT

DE SOUZA
Cisco

PATTATHIL
Harbinger

O'BRIEN
Aria Systems

BONIFAZI
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BIANCO
Solgenia

PROCTOR
NuoDB

DUGGAL
EnterpriseWeb

TEGETHOFF
Appcore

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HICKENS
Parasoft

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PETERS
Esri

GOLDBERG
Vormetric

CUMBER-
LAND

Dimension

ROSENDAHL
Quantum

LOOMIS
Cloudant

BRUNO
StackIQ

HANNON
SoftLayer

JACKSON
SoftLayer

HOCH
Virtustream

KAPADIA
Seagate

PAQUIN
OnLive

TSAI
Innodisk

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Connected Data

SHIAH
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SEGIL
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HOUSE

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LYNN
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WAGSTAFF
BSQUARE

POLLACK
AOL

KAMARAJU
Vormetric

BARRY
Catbird

MENDEN-
HALL

SUPERNAP

SHAN
KEANE

PLESE
Verizon

BARNUM
Voxox

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Cloudian

CALDERON
Advanced Systems

AGARWAL
SOA Software

LEE
Quantum

OBEROI
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HATEM
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GE

GOKCEN
GE

STOICA
Databricks

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Pivotal Software


Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
General Manager of Window Azure
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
Yasser Khan
CEO of @Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Peak_Ten


Who Should Attend?
Senior Technologists including CIOs, CTOs & Vps of Technology, Chief Systems Engineers, IT Directors and Managers, Network and Storage Managers, Enterprise Architects, Communications and Networking Specialists, Directors of Infrastructure.

Business Executives including CEOs, CMOs, & CIOs , Presidents & SVPs, Directors of Business Development , Directors of IT Operations, Product and Purchasing Managers, IT Managers.

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Join Us as a Media Partner - Together We Can Rock the IT World!
SYS-CON Media has a flourishing Media Partner program in which mutually beneficial promotion and benefits are arranged between our own leading Enterprise IT portals and events and those of our partners.

If you would like to participate, please provide us with details of your website/s and event/s or your organization and please include basic audience demographics as well as relevant metrics such as ave. page views per month.

To get involved, email Patricia Henderson at patricia@sys-con.com.

Digital Transformation Blogs
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can...
To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in this new hybrid and dynamic environment.
DXWordEXPO New York 2018, colocated with CloudEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.