nextgen healthcare ebook data analytics healthcare edu35

8/21/2019 Nextgen Healthcare eBook Data Analytics Healthcare Edu35

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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.

795 Horsham Road, Horsham, PA 19044

p: 215.657.7010 | f: 215.657.7011 | nextgen.com

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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nextgen healthcare ebook data analytics healthcare edu35

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