nextgen healthcare ebook data analytics healthcare edu35
TRANSCRIPT
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Gain insights
and take action
Data Analytics in Healthcare
1
2
3
4
5
The right data
The right analysis
The right modeling
The right conclusions
The right actions
The right stuff.
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NextGen Healthcare puts businessintelligence and analytics at your fingertips.
Harness, aggregate, analyze, and interpret patient data directly from our integrated
NextGenAmbulatory EHR and NextGenPractice Management solutions.
IDENTIFYhigh-risk patients for improved
population health management
and outcomes
ENSUREa more successful transition from
volume-based to value-based
care and payment
IMPROVEproductivity, increase
reimbursements, and accelerate
cash flow
Watch an online demo | Request a personal demo | Email us at [email protected] | Call us at 855-510-6398
Ambulatory Practice
Management
AnalyticsPopulation
Health
InteroperabilityInSight
Reporting
http://www.nextgen.com/Resources?type=demoshttp://www.nextgen.com/#contact-us-formmailto:Results%40NextGen.com?subject=mailto:Results%40NextGen.com?subject=http://www.nextgen.com/#contact-us-formhttp://www.nextgen.com/Resources?type=demos -
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The right stuffData analytics done right is kind of like the Five Rights of
Medication Administration but with a data analytics twist
Chapter
1 The right data
Chapter
2 The right analysis
Chapter
3 The right modeling
Chapter
4 The right conclusions
Chapter
5 The right actions
and the right to ask, Are we done yet?
Whats thebig deal about
big data inhealthcare?Find out in this
new eBook.
http://www.ihi.org/resources/Pages/ImprovementStories/FiveRightsofMedicationAdministration.aspxhttp://www.ihi.org/resources/Pages/ImprovementStories/FiveRightsofMedicationAdministration.aspxhttp://www.ihi.org/resources/Pages/ImprovementStories/FiveRightsofMedicationAdministration.aspxhttp://www.ihi.org/resources/Pages/ImprovementStories/FiveRightsofMedicationAdministration.aspx -
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A new study commissioned byEMC
asked federal agencies how big data
can help them. Among the results
published recently:
The healthcare industry is chomping at
the bit for data analytics. Because the
innovative answers needed to improve
patient experiences and the health of
populations, while simultaneously
reducing costs, comes from insights,
trends, and clues hiding in big data.
and the right to get excited!
How will Big Data Help?
say Big Data will help track andmanage population health more
efficiently
say Big Data will significantly improvepatient care within the military healthand VA systems
say Big Data will enhance the ability to
deliver preventative care
63%
62%
60%
CHAPTER
ONE
http://www.emc.com/index.htm?fromGlobalSelectorhttp://www.forbes.com/sites/emc/2014/04/28/big-data-technologies-and-advancements-in-healthcare/http://www.forbes.com/sites/emc/2014/04/28/big-data-technologies-and-advancements-in-healthcare/http://www.emc.com/index.htm?fromGlobalSelector -
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Last year, McKinsey & Companyreported that big data could help saveAmerican taxpayers $450 billion in
annual healthcare costs. Thats big.
http://www.mckinsey.com/insights/health_systems_and_services/the_big-data_revolution_in_us_health_carehttp://www.mckinsey.com/insights/health_systems_and_services/the_big-data_revolution_in_us_health_care -
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When Dr. Karen DeSalvo took over as
head of the Office of the National
Coordinator (ONC) she saidthe ONCs
agenda will launch a new discussion
about interoperability, big data use, and
patient-generated data, plus the security
required to support all three.
High-functioning health information
technology (HIT) analytics can handle
different data formats originating
from scores of different sources.
Which is why big data and
interoperability are two health
IT concepts you cant ignore.
Right from the top
http://www.govhealthit.com/news/desalvo-calls-big-data-use-over-next-decadehttp://www.govhealthit.com/news/desalvo-calls-big-data-use-over-next-decade -
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The underpinnings of EHRs need
to be reconfigured to supportthe purposes of big data.Dr. Karen DeSalvo
National Coordinator for HIT
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Please dont. Theres no reason to. Except if
youre not preparing properly for big data.
Regardless of your healthcare sector, your
income will be tied to your performance,
which will be evaluated with data analytics
and quality reporting.
The Meaningful Use EHR incentive
program, quality-based reimbursement
models like Patient Centered Medical
Homes (PCMHs) and Accountable Care
Organizations (ACOs), and the Physician
Quality Reporting System (PQRS) all
rely on reporting and healthcare data
analytics output.
With the transformation to value-
based care, health data analytics
is at the heart of accountable,collaborative care.
if youre not prepared.
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The right analysisData Analytics 101: What you need to know.
CHAPTER
TWO
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Ambulatory and
Inpatient EHRs1
Physical therapy4
pharmacies3
labs/radiology/ancillary testing2
extended carefacilities5
nursing homes
6
medicalexaminer
8
Data for healthcare
analytics comes fromdiverse sources includingbut not limited to:
7diseaseregistries
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hospice carefacilites12behavioral health11
communityhealth centers13
patient -generated data14
homecareorganizations15
16specialtyand
sub-specialtypractices
10public health
agencies
correctional9
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New big datasources beyond
the EHR may include genomics,social determinants of health, andcombining data from multiple
body systems, to name a few.
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Care for a brontobyte?
Ten to the power of 27 [1+27 zeroes] is
a brontobyte. Its where big data is
headed. Today, big data is happening on
the planet at the yottabyte level [1024];
one yottabyte = 250 trillion DVDs.
Todays data scientist usesYottabytesto
describe how much government data the
NSA or FBI have on people altogether.
In the near future, Brontobytewill be
the measurement to describe the type of
sensor data that will be generated fromthe IoT (Internet of Things).
Resource:
http://www.theregister.co.uk/2012/12/04/
hp_discover_autonomy_vertica_big_data/
Analytics 101:How big is big?
Brontobyte
This will be our digital
universe tomorrow...
1027
1024Yottabyte
This is our digital
universe today
1018Exabyte
1EB of data is created
on the Internet each
day - 250 million DVDs1015
Petabyte
The CERN Large Hadron
Collider generates
1PB per second
1012Terabyte
500TB of new data per
day are ingested in
Facebook databases 109Gigabyte
106Megabyte
1021Zetabyte
1.3 ZB networktraffic by 2016
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drives population health.Integrated HIT with data analytics
functionality. Thats your goal.
Youll need data analytics functionality inyour HIT system to implement population
health properly and profitably. Same
with coordinated care. Ditto for new
reimbursement models. Ditto to:
track and manage population health
more efficiently
enhance preventive care
reduce per capita cost of patient care
enhance progress in diagnostics and
medical research
understand retail healthcare trends
negotiate properly with payers
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What is predictive analytics?Its when you extract information
from existing data sets in order
to determine patterns and predict
potential future outcomes and
trends.Predictive analytics will not tell you
what will happen in the future. It helps you
forecast what might happen and includes
what-if scenarios and risk assessments.
In Gartners IT Glossary, among the
characteristics of predictive analytics most
important to healthcare reform is rapid
analysis of massive quantities of data (real-
time/hours/day not months); emphasis
on the relevance of resulting insights; and
an emphasis on ease of use.
CHAPTER
THREE
http://www.gartner.com/it-glossary/predictive-analyticshttp://www.gartner.com/it-glossary/predictive-analytics -
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We just covered predictive
analytics. How about descriptive
and prescriptive analytics?
Descriptive analyticsis the simplest
form of analytics. Its the easiest to do
because its using data to describe what
happened to patients in the past. Its the
most common form of data analyticsbeing
used in healthcare today.
Predictive analyticsis in the middle of
this descriptive, predictive, and prescriptive
analytics triad. It has the potential toimprove healthcare delivery by analyzing
all aggregated current and historical
patient data to identify high-risk patients
and opportunities for intervention
and treatment.
Prescriptive analyticsis the most
advanced of these three types of data
analytics. In healthcare, prescriptive
analytics is whats growing clinical decision
support platforms. It goes beyond
descriptive and predictive analytics by
recommending one or more courses of
action and including the likely outcome
of each decision or action.
Whats so great aboutpredicitive analytics?
BIG
D
ATA
ANALY
TIC
S
http://www.informationweek.com/big-data/big-data-analytics/big-data-analytics-descriptive-vs-predictive-vs-prescriptive/d/d-id/1113279http://www.informationweek.com/big-data/big-data-analytics/big-data-analytics-descriptive-vs-predictive-vs-prescriptive/d/d-id/1113279 -
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Predictive analytics can significantly increase the potential
to improve care and population health. By analyzing all
aggregated current and historical patient data, providers
can identify high-risk patients and opportunities for
intervention and treatment. Providers assess risk level basedon a particular set of health conditions and clinical decision
making to develop an effective care plan.
The goal of predictive modeling is to identify and actively
manage high-risk patients, intervene before they become
critical, and reduce or eliminate unnecessary ED visits and
hospital admissions. Each of these steps can drive down
healthcare costs, improve clinical outcomes for patients,
and promote a healthier patient panel.
Data analytics functionality
creates models used to predict
scenarios and probable trends.
The analytics triadfor healthcare.
Descriptiveanalytics
Predictiveanalytics
Prescriptiveanalytics
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Whats the secret?Its not a secret.
Its the patient registry.
A patient registry (also called a central datarepository or master patient index MPI)
is a centralized database that aggregates
patient data from multiple healthcare
providers and organizations (disparate
data sets see page 23.
Providers and authorized users can
identify and query patient groups through
myriad segmentations and relational
database functions. For example, treatment
queries can target patients by specific
diagnosis or conditions (e.g., a risk factor)
that predispose them for a health-related
event. These patient groups are called
patient cohorts.
CHAPTER
FOUR
https://clinicalinformatics.stanford.edu/projects/cohort.htmlhttps://clinicalinformatics.stanford.edu/projects/cohort.html -
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The patient registry seamlesslyaggregates multiple disparate data
sources, payer data, preventative,and clinical quality scores to improve
clinical and financial outcomes
across the practice.
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And why shouldnt they?Public and private payers are using
their analytics expertise to mine data for the answers they need to
build new pay for performance provider reimbursement models.
Payers want to know everything. They monitor, track, measure,
manage, and report healthcare services, workflows, and outcomesusing state-of-the-art data analytics. And they know a healthier
population means lower costs for both payers and patients.
Payers just love, Love,LOVE data analytics.
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How do answers from data analytics create action?Use results from thoughtful
healthcare data analytics programs
to help create innovative
approaches that enable you
to continually improve your
performance, your other providers
performances, or the performance
of your practice or facility.
Evaluate provider performancein managing disease(s)
Adjust treatment plansin accordance with evidence-based guidelines
Better understand and treat diseasesthat influence multiple body systems
Identify a patients risk levelthrough a hybrid data assessment clinical, social, cultural
Develop treatment programsthat align with recommended clinical guidelines
Engage patients in a meaningful care transition programto ensure continuity of care
Create care coordination protocolsdriven by evidence-based medicine
and personalized care
Cultivate better transition of careto help reduce readmissions and decrease costs
Evaluate patient outcome trendsto negotiate fair reimbursement for patient cohorts
Rank yourself against your peers and national healthcare benchmarks; know where
you stand, be a savvy healthcare reform provider
CHAPTER
FIVE
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Analytics makes it happenLike we said at the beginning of
this eBook: You want answers.
But youre searching for them in a
healthcare setting that demands
doing more with less, every day.
Only sophisticated analytics can create
the insights and data patterns you need
to create new actions thatll get your
toughest questions answered. Its the way
to intelligently leverage your data.
Payers can figure out which patients are
most likely to generate the highest costs.
Providers will discover which of their
patients arent taking their meds. Hospital
executives can better understand the
probabilities of relapse and readmission.
Thats why more and more healthcare
professionals are interested in using big
data and analytics to prevent problems
before they occur in healthy patients.
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Advanced analytics [in healthcare]allows you to be much more
sophisticated in where you
intervene and with what.Dr. Bob NeaseChief Scientist, Express Scripts
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Almost. But we need to mention interoperability.Without interoperability, big data
and data analytics are useless.
HIT systems must achieve high degrees ofinteroperability and data sharing for big
data to impact real-time clinical decision
making across the nation. Disparate
systems need to work together. Seamlessly.
Were not there yet, but like Dr. DeSalvos
quote on page 6of this eBook, the use of
big data across interoperable HIT systems
is the essence of ONCs new 10-year plan.
(Told you it was quick!)
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When dataresides inmultiple disparate silos,
payers and providers cannot
cost-effectively aggregate,analyze, and assess risk.
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Hint: Its a trick question.
Heres a not-so-secret secret: Lots of
providers vote yes for data analytics and
no for wanting to do it. They want the
value; the new insights and answers. Butthey dont want the deep data dive for fear
of not understanding what to do or how to
do it and for wasting a lot of time trying to
figure it out.
Thats where your HIT vendor can help.
Dont try to figure this out on your own.
Youre a medical professional, not adata scientist.
Work with a committed, long-term HIT
partner. Theyll have a better understanding
of how to integrate and leverage data
analytics into your daily EHR and practice
management workflows.
And remember: A data analytics initiative
without an interoperability strategy is
like writing a book that no one can read.
Ask your vendor to share their long term
interoperability road map.
Yes! or No!for data analytics?
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1 Gain insights and take __________________.
2 The healthcare industry is chomping at the bit for__________________ __________________.
3 Dr. Karen DeSalvo said the underpinnings of EHRs need to be reconfigured to support the purposes of __________ __________.
4 A brontobyte is ten to the power of __________________.
5 Our digital universe today is happening at the __________________ level. One of these = 250 trillion DVDs.
6 A central repository or master patient index is called a __________________ __________________.
7 Patient groups are called __________________.
8 Predictive analytics increases the potential to __________________ __________________.
9 HIT systems must achieve high degrees of __________________.
10 Data analytics without interoperability is like ____________________________________________________.
*Answer key next page
Pop Quiz!Go ahead. Surprise yourself with how much you now know about data analytics!
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Copyright 2014 NextGen Healthcare Information Systems, LLC. All rights reserved.
NextGen is a registered trademark of QSI Management, LLC, an affiliate of NextGenHealthcare Information Systems, LLC. All other names and marks are the property of their
respective owners. Patent pending.
NextGenAmbulatory EHR version 5.8 is ONC-HIT 2014 Edition certified as a complete EHR.
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NextGen Healthcare Solutions.
We provide HIT solutions, including an award-winning,
integrated EHR and Practice Management system alongwith Revenue Cycle Management (RCM) expertise and
interoperability solutions to approximately 85,000 physicians,
specialists, and dentists spanning in excess of 4,400 group
practices and more than 300 hospitals across the nation.
Our providers have attested for more than a half billion
dollars (and growing) in Meaningful Use incentive revenue.
*Answer Key: 1) action; 2) data analytics; 3) big data; 4) 27; 5) yottabyte;
6) patient registry; 7) cohorts; 8) improve care; 9) interoperability;
10) writing a book that no one can read.
To learn more about our proven solutions, including
data analytics and system interoperability, contact us at
[email protected] call 855-510-6398.
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