SlideShare a Scribd company logo
1 of 34
Download to read offline
©Truven Health Analytics Inc. All Rights Reserved. 1
Sandeep Makhijani – Regional Director, APAC
Truven Health Analytics
Improving Clinical and Operational Outcomes by Leveraging
Healthcare Data Analytics at the Point of Care
©Truven Health Analytics Inc. All Rights Reserved. 2
News Flash !!
 There are currently about 7.1 billion
people on Earth, this number could rise
to about 9 billion by 2050 - and as many
as 25 billion by 2100 *
 The population is not only growing it is
also living longer
 Even another world war or a lethal
pandemic won't slow down the
population time bomb
 Can we use Data and Analytics to
transform Healthcare for this
unstoppable population growth?
* http://toi.in/pQsD1b
©Truven Health Analytics Inc. All Rights Reserved. 3
Discussion Points
 Healthcare Analytics
 Using Data and Analytics to transform Healthcare
 Role of Clinical Content and a Clinical Decision Support System to
support Healthcare Analytics
 Leveraging Healthcare Analytics for Evidence based real-time Clinical
Surveillance
 Using Healthcare Analytics to Improve Clinical, Operational and
Financial performance across the Continuum of Care
©Truven Health Analytics Inc. All Rights Reserved. 4©Truven Health Analytics Inc. All Rights Reserved. 4
Healthcare Analytics
©Truven Health Analytics Inc. All Rights Reserved. 5
Healthcare Analytics
 Healthcare Analytics is the systematic use of Patient Specific Data
and related insights developed through Applied Analytical Disciplines
to drive Evidence based Clinical Decision Making for patient safety,
care management, outcomes measurement and clinical learning.
 Healthcare Analytics helps achieve the following Business Goals:
 Healthcare Analytics Solutions will:
 Provide Real-time Surveillance and Real-time Intervention capabilities
leveraging Evidence-based Clinical Content
 Intervention Documentation Capability
 Measurement, Analysis and Reporting Capability
©Truven Health Analytics Inc. All Rights Reserved. 6
©Truven Health Analytics Inc. All Rights Reserved. 7
©Truven Health Analytics Inc. All Rights Reserved. 8
Need for Healthcare Analytics
Providers Needs
 Accelerated Demand for
healthcare services – Growing
and Ageing Population
 Optimal Usage of healthcare
resources
 Improve Clinical Outcomes
 Manage Cost of Care
 Effective gathering, sharing and
use of patient centric information
across the continuum of care
Patient Needs
 Higher Expectations from
healthcare providers
 More Educated about their
health and healthcare needs
 Greater Access to Information
than ever before
 Demanding increasing
Accountability from their doctors,
nurses and health plans.
©Truven Health Analytics Inc. All Rights Reserved. 9
An EMR is not enough….you need Data and Analytics
to Transform Healthcare!
Providers
 Improve service delivery and operations
 Provide means for measuring and
evaluating critical organizational data
 Expand access to healthcare, align pay
with performance and help hold down
growth in healthcare costs.
 Help design and plan healthcare policy
and programs
 Improved effectiveness and efficiency of
the Healthcare System
Patients
 Better insights into Patient Data can help
achieve better Clinical Outcomes
 Improve Patient Safety
 Aid exploration and discovery of new
treatments and technologies
 Personalized healthcare
 Information leading to insight can help
informed and educated consumers
become more accountable for their own
health
©Truven Health Analytics Inc. All Rights Reserved. 10©Truven Health Analytics Inc. All Rights Reserved. 10
Role of Clinical Content and CDSS to
Support Healthcare Analytics
©Truven Health Analytics Inc. All Rights Reserved. 11
Medication
Management
Process
Patient’s
unique
physiology &
values
Evidence-Based
Medicine =
Clinical Content
and CDSS
Clinical Expertise
Role of Evidence Based Medicine in the
Medication Management Process
©Truven Health Analytics Inc. All Rights Reserved. 12
Creating Evidence Based Clinical Content
CONTENT CREATION
PROCESS
©Truven Health Analytics Inc. All Rights Reserved. 13
7
Clinical Decision Support System
 Clinical Decision Support System (CDSS) provides clinicians with
knowledge and patient-specific information, intelligently filtered
and presented at appropriate times, to enhance the practice of
health care
©Truven Health Analytics Inc. All Rights Reserved. 14
Clinical Content and CDSS is the foundation of
Healthcare Analytics
 Referential Evidence-based Clinical
Content
 Non-Patient Specific, Facility
Specific
 Cloud based access
 Stand Alone
 Patient Specific
 Available at Point of Care
 Integrated with EMR
 Provides Interaction Alerts based on
Evidence-based Clinical Content
 Patient Specific
 Available at Point of Care
 Integrated with EMR
 Real-time Surveillance and Real-time Intervention
leveraging Evidence-based Clinical Content
 Documentation Capability
 Measurement, Analysis and Reporting
Healthcare
Analytics
Active CDSS
Passive CDSS
©Truven Health Analytics Inc. All Rights Reserved. 15©Truven Health Analytics Inc. All Rights Reserved. 15
Leveraging Healthcare Analytics for Evidence
based Real-time Clinical Surveillance
©Truven Health Analytics Inc. All Rights Reserved. 16
Leveraging Healthcare Analytics for Evidence based Real-
time Clinical Surveillance to Identify Patients at Risk of an
Adverse Event
16
Evidence Based
Clinical Content
CDS Rules
Clinical Decision
Support
©Truven Health Analytics Inc. All Rights Reserved. 17
Pre-Built Evidence-Based Clinical Decision Support
Rules
• CDS Rules should
be editable to
match hospital-
specific criteria
• Ability to create
new profiles on
demand
•Ability to query on
a virtually
unlimited number
of data elements
©Truven Health Analytics Inc. All Rights Reserved. 18
Clinical Dashboard Helps Clinicians Improve Outcomes
and Manage Risk
Real -time
surveillance of
at-risk patients
Easy documentation
of intervention within
the workflow
Comprehensive
medication, lab
and report
information – with
integrated access
to evidence-
based content
Quick view of critical values with
automated interaction checking
and pharmacy tools and
calculators
©Truven Health Analytics Inc. All Rights Reserved. 19
The key is being able to intervene before risk increases
and expenses are incurred
19
©Truven Health Analytics Inc. All Rights Reserved. 20
Healthcare Analytics for Evidence based Real-time
Clinical Surveillance
 Data Aggregation for Analytics
 Evidence-based CDS Rules
 Timely and effective Alerts
 Focused user-interface
 Integrated, context-aware CDS knowledge
 Documentation of Clinical Activity
 Data-mining and Reporting capabilities
20
©Truven Health Analytics Inc. All Rights Reserved. 21©Truven Health Analytics Inc. All Rights Reserved. 21
Improving clinical, operational and financial
performance across the continuum of care
using Healthcare Analytics
©Truven Health Analytics Inc. All Rights Reserved. 22©Truven Health Analytics Inc. All Rights Reserved. 22
Malnutrition in Adult Patient Population
Surveillance
©Truven Health Analytics Inc. All Rights Reserved. 23
Malnutrition in Adult Patient Population
• Adult malnutrition is a common problem, affecting as many as 60
percent of hospitalized patients in the U.S.
• A major contributor to poor patient outcomes, longer hospital stays,
and higher healthcare costs.
• Malnutrition is often present on hospital admission,
• Early Identification of malnourished patients, or those at risk of being
malnourished can be treated appropriately, leading to better
outcomes
©Truven Health Analytics Inc. All Rights Reserved. 24
This is a Problem in Singapore too… 1 in 3 elderly
Singaporeans not eating right
1 in 3 elderly Singaporeans not eating right
Thursday, 14 l 07 l 2011 Source: The Straits Times
By: Feng Zengkun
Lack of proper diet can put senior citizens at high risk of malnutrition
WHETHER out of a diminished enjoyment of food or the fact that they live alone, one in three elderly people is not taking in enough calcium,
carbohydrates and fibre. The upshot of their poor food choices? They are at high risk of malnutrition, a condition caused by a diet of too much or
too
few nutrients such as zinc or iron.
The findings were published recently in two separate studies by Tan Tock Seng Hospital and health-care company Abbott Nutrition. Together,
the studies surveyed about 700 elderly people in Singapore aged 50 and older. The Abbott study also found that the elderly living in one- and
two-room flats have a higher risk of malnutrition. Experts The Straits Times spoke to said the poor attention many elderly people paid to their diet
could lead to more frequent falls, slower recovery from injuries and a host of diet-related complications such as fragile bones.
At a nutrition seminar in Singapore yesterday, Professor Jean-Pierre Michel, 51, head of the geriatric ward at the Geneva Medical School and
University Hospitals, called the findings “serious”. He said the lack of a proper diet was linked to a condition called sarcopenia, which causes
people to lose muscle mass and strength. This could lead to the elderly becoming weaker and more prone to falls, he
added, noting that about 20 per cent of people who suffer hip fractures die within a year of the injury. “Half of them never regain their former
mobility,” he said.
Experts The Straits Times spoke to said reasons for the elderly’s poor diet ranged from a lack of interest in food to their living environment.
Dietitian Teo Soo Lay at the Singapore General Hospital said elderly people who live alone have no motivation to cook for themselves. “Most of
the time, they will just eat biscuits or plain bread for their main meals, which is very poor nutrition,” she added. Others said natural consequences
of ageing, such as problems with chewing and swallowing, also put the elderly off their food.
Mr Kavin Seow, director of Touch Home Care, which delivers meals to the elderly, said it makes sure the food comes in small pieces to aid
digestion. “We don’t serve hard and deep-fried food either,” he added. ……..
http://www.healthxchange.com.sg/News/Pages/Elderly-Singaporeans-not-eating-right.aspx
©Truven Health Analytics Inc. All Rights Reserved. 25
Freeman Health System
• 517 beds, 3 hospital
system
• Serves an area of
450,000 people from
Missouri, Arkansas,
Kansas, and Oklahoma
• U.S. News & World
Report recently ranked
Freeman as the #1
hospital in Southwest
Missouri and #4 hospital
in the state of Missouri.
©Truven Health Analytics Inc. All Rights Reserved. 26
Problem of tracking Malnourished Patients at Freeman
 Coders spent significant time each day manually reviewing patient
records to identify patients with signs of malnutrition
 Once identified in the hospital, a nutrition support pharmacist would
ensure intervention
 Charts were reviewed once more for coding accuracy to check for
reimbursement.
 Process was time-consuming, inefficient, and challenging to identify
malnourished patients early enough to avoid complications, as well as
prior to hospital discharge
©Truven Health Analytics Inc. All Rights Reserved. 27
Using Healthcare Analytics to track Malnourished
Patients
 Implement a real-time, enterprise-wide clinical surveillance technology
solution
 CDS profile identifies patients who have early warning signs of
malnutrition.
 Real-time surveillance of structured and unstructured patient data
 Alerts to Clinicians on Patients identified
 Leverage built-in evidence-based guidelines to address the warning
signs and avoid complications
 Easy to use tools to document the clinical intervention
©Truven Health Analytics Inc. All Rights Reserved. 28
Malnutrition Surveillance Profile
Created a clinical
profile within
Micromedex 360
Care Insights to
identify
malnourished
patients during
hospitalization
©Truven Health Analytics Inc. All Rights Reserved. 29
Results of Malnutrition Interventions
 Improved Patient Care
 Identification and treatment of malnutrition in the hospital results in
improved patient outcomes and decreased lengths of stay
 Time Savings
 Healthcare Analytics solution automated the extensive clinical data
review required to accurately identify patients
 After building the Malnutrition profile, their pharmacist ran a list every
morning, which takes 3 minutes.
 Cost Savings
 Between August 2013 - January 2014, Freeman’s Malnutrition profile
has resulted in 13 interventions, for a total dollar revenue of
$30,600.
 Average increased reimbursement of $2300 per identified case
 Estimate over $115,000 per year in increased reimbursement
©Truven Health Analytics Inc. All Rights Reserved. 30©Truven Health Analytics Inc. All Rights Reserved. 30
Ebola Virus Disease (EVD) Surveillance
©Truven Health Analytics Inc. All Rights Reserved. 31
CDC Case Definition for Ebola Virus Disease (EVD)
• Suspected Case
 Illness in a person who has both consistent symptoms and risk factors as follows:
o Clinical criteria, which includes fever of greater than 38.6 degrees Celsius or 101.5
degrees Fahrenheit, and additional symptoms such as severe headache, muscle pain,
vomiting, diarrhea, abdominal pain, or unexplained hemorrhage; AND
o AND - Epidemiologic risk factors within the past 3 weeks before the onset of symptoms,
such as contact with blood or other body fluids of a patient known to have or suspected
to have EVD; residence in—or travel to—an area where EVD transmission is active; or
direct handling of bats, rodents, or primates from disease-endemic areas.
 Malaria diagnostics should also be a part of initial testing because it is a common
cause of febrile illness in persons with a travel history to the affected countries.
• Confirmed Case
 A suspected case with laboratory-confirmed diagnostic evidence of ebola virus
infection.
31
Source: Centers for Disease Control, Health Alert Network, August 1,
2014, HAN 00364 at: http://emergency.cdc.gov/han/han00364.asp
©Truven Health Analytics Inc. All Rights Reserved. 32
Ebola Surveillance Profile
©Truven Health Analytics Inc. All Rights Reserved. 33
Final Thoughts….
 The world’s population is not only growing but living longer
 Expectations from Healthcare Service Providers have changed
dramatically
 Clinicians need tools and resources at the point of care to provide the
best possible care tailored to the unique needs for their patients
 There is an increased risk for communicable disease and infection
due to crowding and antibiotic over-utilization resulting in less efficacy
 We have to leverage Technology in the form of Healthcare Analytics
to Improve Clinical and Operational Outcomes
 ….Don’t forget we are All Future Patients!
©Truven Health Analytics Inc. All Rights Reserved. 34©Truven Health Analytics Inc. All Rights Reserved. 34
Thank You
Questions and Comments
sandeep.makhijani@truvenhealth.com
Cell: +65-96863797

More Related Content

What's hot

3 Perspectives to Better Apply Predictive & Prescriptive Models in Healthcare
3 Perspectives to Better Apply Predictive & Prescriptive Models in Healthcare3 Perspectives to Better Apply Predictive & Prescriptive Models in Healthcare
3 Perspectives to Better Apply Predictive & Prescriptive Models in HealthcareHealth Catalyst
 
Ts module 1_slides_introduction_06.1 vic_final2
Ts module 1_slides_introduction_06.1 vic_final2Ts module 1_slides_introduction_06.1 vic_final2
Ts module 1_slides_introduction_06.1 vic_final2aifl
 
Zero Sepsis Deaths: A Dialogue of Passion and Practical Wisdom on Sepsis Prev...
Zero Sepsis Deaths: A Dialogue of Passion and Practical Wisdom on Sepsis Prev...Zero Sepsis Deaths: A Dialogue of Passion and Practical Wisdom on Sepsis Prev...
Zero Sepsis Deaths: A Dialogue of Passion and Practical Wisdom on Sepsis Prev...Health Catalyst
 
Data Science Reveals Patients at Risk for Adverse Outcomes Due to COVID-19 Ca...
Data Science Reveals Patients at Risk for Adverse Outcomes Due to COVID-19 Ca...Data Science Reveals Patients at Risk for Adverse Outcomes Due to COVID-19 Ca...
Data Science Reveals Patients at Risk for Adverse Outcomes Due to COVID-19 Ca...Health Catalyst
 
The Analytic System: Finding Patterns in the Data
The Analytic System: Finding Patterns in the DataThe Analytic System: Finding Patterns in the Data
The Analytic System: Finding Patterns in the DataHealth Catalyst
 
Care Management Part 2 - A Critical Component of Effective Population Health
Care Management Part 2 - A Critical Component of Effective Population HealthCare Management Part 2 - A Critical Component of Effective Population Health
Care Management Part 2 - A Critical Component of Effective Population HealthHealth Catalyst
 
Three Strategies to Deliver Patient-Centered Care in the Next Normal
Three Strategies to Deliver Patient-Centered Care in the Next NormalThree Strategies to Deliver Patient-Centered Care in the Next Normal
Three Strategies to Deliver Patient-Centered Care in the Next NormalHealth Catalyst
 
Build vs. Buy a Healthcare Enterprise Data Warehouse: Which is Best for You?
Build vs. Buy a Healthcare Enterprise Data Warehouse: Which is Best for You?Build vs. Buy a Healthcare Enterprise Data Warehouse: Which is Best for You?
Build vs. Buy a Healthcare Enterprise Data Warehouse: Which is Best for You?Health Catalyst
 
Three Cost-Saving Strategies to Reduce Healthcare Spending
Three Cost-Saving Strategies to Reduce Healthcare SpendingThree Cost-Saving Strategies to Reduce Healthcare Spending
Three Cost-Saving Strategies to Reduce Healthcare SpendingHealth Catalyst
 
Introducing the Health Catalyst Monitor™ Patient Safety Suite Surveillance Mo...
Introducing the Health Catalyst Monitor™ Patient Safety Suite Surveillance Mo...Introducing the Health Catalyst Monitor™ Patient Safety Suite Surveillance Mo...
Introducing the Health Catalyst Monitor™ Patient Safety Suite Surveillance Mo...Health Catalyst
 
Data driven Healthcare for Providers
Data driven Healthcare for ProvidersData driven Healthcare for Providers
Data driven Healthcare for ProvidersAmit Mishra
 
Reviewing the Healthcare Analytics Adoption Model: A Roadmap and Recipe for A...
Reviewing the Healthcare Analytics Adoption Model: A Roadmap and Recipe for A...Reviewing the Healthcare Analytics Adoption Model: A Roadmap and Recipe for A...
Reviewing the Healthcare Analytics Adoption Model: A Roadmap and Recipe for A...Health Catalyst
 
Achieving Stakeholder Engagement: A Population Health Management Imperative
Achieving Stakeholder Engagement: A Population Health Management ImperativeAchieving Stakeholder Engagement: A Population Health Management Imperative
Achieving Stakeholder Engagement: A Population Health Management ImperativeHealth Catalyst
 
Using Analytics to Increase Cash Flow
Using Analytics to Increase Cash FlowUsing Analytics to Increase Cash Flow
Using Analytics to Increase Cash FlowHealth Catalyst
 
A New GIS-driven Approach to Optimize Service Area Boundaries for ACOs
A New GIS-driven Approach to Optimize Service Area Boundaries for ACOsA New GIS-driven Approach to Optimize Service Area Boundaries for ACOs
A New GIS-driven Approach to Optimize Service Area Boundaries for ACOsHealth Catalyst
 
The Doctor’s Orders for Engaging Physicians to Drive Improvements
The Doctor’s Orders for Engaging Physicians to Drive ImprovementsThe Doctor’s Orders for Engaging Physicians to Drive Improvements
The Doctor’s Orders for Engaging Physicians to Drive ImprovementsHealth Catalyst
 
Improving Quality Measures Can Lead to Better Outcomes
Improving Quality Measures Can Lead to Better OutcomesImproving Quality Measures Can Lead to Better Outcomes
Improving Quality Measures Can Lead to Better OutcomesHealth Catalyst
 
Healthcare Data Management: Three Principles of Using Data to Its Full Potential
Healthcare Data Management: Three Principles of Using Data to Its Full PotentialHealthcare Data Management: Three Principles of Using Data to Its Full Potential
Healthcare Data Management: Three Principles of Using Data to Its Full PotentialHealth Catalyst
 
Data-Driven Precision Medicine: A Must-Have for the Next-Generation of Person...
Data-Driven Precision Medicine: A Must-Have for the Next-Generation of Person...Data-Driven Precision Medicine: A Must-Have for the Next-Generation of Person...
Data-Driven Precision Medicine: A Must-Have for the Next-Generation of Person...Health Catalyst
 
10 Motivational Interviewing Strategies for Deeper Patient Engagement in Care...
10 Motivational Interviewing Strategies for Deeper Patient Engagement in Care...10 Motivational Interviewing Strategies for Deeper Patient Engagement in Care...
10 Motivational Interviewing Strategies for Deeper Patient Engagement in Care...Health Catalyst
 

What's hot (20)

3 Perspectives to Better Apply Predictive & Prescriptive Models in Healthcare
3 Perspectives to Better Apply Predictive & Prescriptive Models in Healthcare3 Perspectives to Better Apply Predictive & Prescriptive Models in Healthcare
3 Perspectives to Better Apply Predictive & Prescriptive Models in Healthcare
 
Ts module 1_slides_introduction_06.1 vic_final2
Ts module 1_slides_introduction_06.1 vic_final2Ts module 1_slides_introduction_06.1 vic_final2
Ts module 1_slides_introduction_06.1 vic_final2
 
Zero Sepsis Deaths: A Dialogue of Passion and Practical Wisdom on Sepsis Prev...
Zero Sepsis Deaths: A Dialogue of Passion and Practical Wisdom on Sepsis Prev...Zero Sepsis Deaths: A Dialogue of Passion and Practical Wisdom on Sepsis Prev...
Zero Sepsis Deaths: A Dialogue of Passion and Practical Wisdom on Sepsis Prev...
 
Data Science Reveals Patients at Risk for Adverse Outcomes Due to COVID-19 Ca...
Data Science Reveals Patients at Risk for Adverse Outcomes Due to COVID-19 Ca...Data Science Reveals Patients at Risk for Adverse Outcomes Due to COVID-19 Ca...
Data Science Reveals Patients at Risk for Adverse Outcomes Due to COVID-19 Ca...
 
The Analytic System: Finding Patterns in the Data
The Analytic System: Finding Patterns in the DataThe Analytic System: Finding Patterns in the Data
The Analytic System: Finding Patterns in the Data
 
Care Management Part 2 - A Critical Component of Effective Population Health
Care Management Part 2 - A Critical Component of Effective Population HealthCare Management Part 2 - A Critical Component of Effective Population Health
Care Management Part 2 - A Critical Component of Effective Population Health
 
Three Strategies to Deliver Patient-Centered Care in the Next Normal
Three Strategies to Deliver Patient-Centered Care in the Next NormalThree Strategies to Deliver Patient-Centered Care in the Next Normal
Three Strategies to Deliver Patient-Centered Care in the Next Normal
 
Build vs. Buy a Healthcare Enterprise Data Warehouse: Which is Best for You?
Build vs. Buy a Healthcare Enterprise Data Warehouse: Which is Best for You?Build vs. Buy a Healthcare Enterprise Data Warehouse: Which is Best for You?
Build vs. Buy a Healthcare Enterprise Data Warehouse: Which is Best for You?
 
Three Cost-Saving Strategies to Reduce Healthcare Spending
Three Cost-Saving Strategies to Reduce Healthcare SpendingThree Cost-Saving Strategies to Reduce Healthcare Spending
Three Cost-Saving Strategies to Reduce Healthcare Spending
 
Introducing the Health Catalyst Monitor™ Patient Safety Suite Surveillance Mo...
Introducing the Health Catalyst Monitor™ Patient Safety Suite Surveillance Mo...Introducing the Health Catalyst Monitor™ Patient Safety Suite Surveillance Mo...
Introducing the Health Catalyst Monitor™ Patient Safety Suite Surveillance Mo...
 
Data driven Healthcare for Providers
Data driven Healthcare for ProvidersData driven Healthcare for Providers
Data driven Healthcare for Providers
 
Reviewing the Healthcare Analytics Adoption Model: A Roadmap and Recipe for A...
Reviewing the Healthcare Analytics Adoption Model: A Roadmap and Recipe for A...Reviewing the Healthcare Analytics Adoption Model: A Roadmap and Recipe for A...
Reviewing the Healthcare Analytics Adoption Model: A Roadmap and Recipe for A...
 
Achieving Stakeholder Engagement: A Population Health Management Imperative
Achieving Stakeholder Engagement: A Population Health Management ImperativeAchieving Stakeholder Engagement: A Population Health Management Imperative
Achieving Stakeholder Engagement: A Population Health Management Imperative
 
Using Analytics to Increase Cash Flow
Using Analytics to Increase Cash FlowUsing Analytics to Increase Cash Flow
Using Analytics to Increase Cash Flow
 
A New GIS-driven Approach to Optimize Service Area Boundaries for ACOs
A New GIS-driven Approach to Optimize Service Area Boundaries for ACOsA New GIS-driven Approach to Optimize Service Area Boundaries for ACOs
A New GIS-driven Approach to Optimize Service Area Boundaries for ACOs
 
The Doctor’s Orders for Engaging Physicians to Drive Improvements
The Doctor’s Orders for Engaging Physicians to Drive ImprovementsThe Doctor’s Orders for Engaging Physicians to Drive Improvements
The Doctor’s Orders for Engaging Physicians to Drive Improvements
 
Improving Quality Measures Can Lead to Better Outcomes
Improving Quality Measures Can Lead to Better OutcomesImproving Quality Measures Can Lead to Better Outcomes
Improving Quality Measures Can Lead to Better Outcomes
 
Healthcare Data Management: Three Principles of Using Data to Its Full Potential
Healthcare Data Management: Three Principles of Using Data to Its Full PotentialHealthcare Data Management: Three Principles of Using Data to Its Full Potential
Healthcare Data Management: Three Principles of Using Data to Its Full Potential
 
Data-Driven Precision Medicine: A Must-Have for the Next-Generation of Person...
Data-Driven Precision Medicine: A Must-Have for the Next-Generation of Person...Data-Driven Precision Medicine: A Must-Have for the Next-Generation of Person...
Data-Driven Precision Medicine: A Must-Have for the Next-Generation of Person...
 
10 Motivational Interviewing Strategies for Deeper Patient Engagement in Care...
10 Motivational Interviewing Strategies for Deeper Patient Engagement in Care...10 Motivational Interviewing Strategies for Deeper Patient Engagement in Care...
10 Motivational Interviewing Strategies for Deeper Patient Engagement in Care...
 

Viewers also liked

Personalized medicine optum labs
Personalized medicine   optum labsPersonalized medicine   optum labs
Personalized medicine optum labsMassTLC
 
Leveraging Oracle's Clinical Development Analytics to Boost Productivity and ...
Leveraging Oracle's Clinical Development Analytics to Boost Productivity and ...Leveraging Oracle's Clinical Development Analytics to Boost Productivity and ...
Leveraging Oracle's Clinical Development Analytics to Boost Productivity and ...Perficient
 
CEO Compensation Meets Pay for Performance: Emerging Trends for Executive Pay
CEO Compensation Meets Pay for Performance: Emerging Trends for Executive PayCEO Compensation Meets Pay for Performance: Emerging Trends for Executive Pay
CEO Compensation Meets Pay for Performance: Emerging Trends for Executive PayIntegrated Healthcare Strategies
 
Plug & Play: Benefits of Out-of-the-Box Clinical Development Analytics (CDA) ...
Plug & Play: Benefits of Out-of-the-Box Clinical Development Analytics (CDA) ...Plug & Play: Benefits of Out-of-the-Box Clinical Development Analytics (CDA) ...
Plug & Play: Benefits of Out-of-the-Box Clinical Development Analytics (CDA) ...Perficient
 
Clinical Analytics
Clinical AnalyticsClinical Analytics
Clinical AnalyticsMichael Bice
 
Shape your ICD-10 Technology Strategy: Be Ready for Change and Protect Revenue
Shape your ICD-10 Technology Strategy: Be Ready for Change and Protect RevenueShape your ICD-10 Technology Strategy: Be Ready for Change and Protect Revenue
Shape your ICD-10 Technology Strategy: Be Ready for Change and Protect Revenueoptum
 
Preparing for the Future: How one ACO is Using Analytics to Drive Clinical & ...
Preparing for the Future: How one ACO is Using Analytics to Drive Clinical & ...Preparing for the Future: How one ACO is Using Analytics to Drive Clinical & ...
Preparing for the Future: How one ACO is Using Analytics to Drive Clinical & ...Health Catalyst
 
Hl7 Analytics for IT and Clinical Insights
Hl7 Analytics for IT and Clinical InsightsHl7 Analytics for IT and Clinical Insights
Hl7 Analytics for IT and Clinical InsightsExtraHop Networks
 
Predictive analytics in action real-world examples and advice
Predictive analytics in action real-world examples and advicePredictive analytics in action real-world examples and advice
Predictive analytics in action real-world examples and adviceThe Marketing Distillery
 
Real-Time Clinical Analytics
Real-Time Clinical AnalyticsReal-Time Clinical Analytics
Real-Time Clinical AnalyticsDataWorks Summit
 
How to Evaluate a Clinical Analytics Vendor: A Checklist
How to Evaluate a Clinical Analytics Vendor: A ChecklistHow to Evaluate a Clinical Analytics Vendor: A Checklist
How to Evaluate a Clinical Analytics Vendor: A ChecklistHealth Catalyst
 
Introduction To Predictive Analytics Part I
Introduction To Predictive Analytics   Part IIntroduction To Predictive Analytics   Part I
Introduction To Predictive Analytics Part Ijayroy
 
Healthcare Analytics Adoption Model -- Updated
Healthcare Analytics Adoption Model -- UpdatedHealthcare Analytics Adoption Model -- Updated
Healthcare Analytics Adoption Model -- UpdatedHealth Catalyst
 
Predictive Analytics: Context and Use Cases
Predictive Analytics: Context and Use CasesPredictive Analytics: Context and Use Cases
Predictive Analytics: Context and Use CasesKimberley Mitchell
 
Pfizer interview questions and answers
Pfizer interview questions and answersPfizer interview questions and answers
Pfizer interview questions and answersselinasimpson55
 
Improving Patient Safety and Quality Through Culture, Clinical Analytics, Evi...
Improving Patient Safety and Quality Through Culture, Clinical Analytics, Evi...Improving Patient Safety and Quality Through Culture, Clinical Analytics, Evi...
Improving Patient Safety and Quality Through Culture, Clinical Analytics, Evi...Health Catalyst
 
Predictive Analytics - An Overview
Predictive Analytics - An OverviewPredictive Analytics - An Overview
Predictive Analytics - An OverviewMachinePulse
 
Clinical Analytics for Improving Health Outcomes
Clinical Analytics for Improving Health OutcomesClinical Analytics for Improving Health Outcomes
Clinical Analytics for Improving Health OutcomesExist
 
Big Data in Healthcare Made Simple: Where It Stands Today and Where It’s Going
Big Data in Healthcare Made Simple: Where It Stands Today and Where It’s GoingBig Data in Healthcare Made Simple: Where It Stands Today and Where It’s Going
Big Data in Healthcare Made Simple: Where It Stands Today and Where It’s GoingHealth Catalyst
 

Viewers also liked (20)

Personalized medicine optum labs
Personalized medicine   optum labsPersonalized medicine   optum labs
Personalized medicine optum labs
 
Leveraging Oracle's Clinical Development Analytics to Boost Productivity and ...
Leveraging Oracle's Clinical Development Analytics to Boost Productivity and ...Leveraging Oracle's Clinical Development Analytics to Boost Productivity and ...
Leveraging Oracle's Clinical Development Analytics to Boost Productivity and ...
 
CEO Compensation Meets Pay for Performance: Emerging Trends for Executive Pay
CEO Compensation Meets Pay for Performance: Emerging Trends for Executive PayCEO Compensation Meets Pay for Performance: Emerging Trends for Executive Pay
CEO Compensation Meets Pay for Performance: Emerging Trends for Executive Pay
 
Plug & Play: Benefits of Out-of-the-Box Clinical Development Analytics (CDA) ...
Plug & Play: Benefits of Out-of-the-Box Clinical Development Analytics (CDA) ...Plug & Play: Benefits of Out-of-the-Box Clinical Development Analytics (CDA) ...
Plug & Play: Benefits of Out-of-the-Box Clinical Development Analytics (CDA) ...
 
Clinical Analytics
Clinical AnalyticsClinical Analytics
Clinical Analytics
 
Shape your ICD-10 Technology Strategy: Be Ready for Change and Protect Revenue
Shape your ICD-10 Technology Strategy: Be Ready for Change and Protect RevenueShape your ICD-10 Technology Strategy: Be Ready for Change and Protect Revenue
Shape your ICD-10 Technology Strategy: Be Ready for Change and Protect Revenue
 
Preparing for the Future: How one ACO is Using Analytics to Drive Clinical & ...
Preparing for the Future: How one ACO is Using Analytics to Drive Clinical & ...Preparing for the Future: How one ACO is Using Analytics to Drive Clinical & ...
Preparing for the Future: How one ACO is Using Analytics to Drive Clinical & ...
 
Hl7 Analytics for IT and Clinical Insights
Hl7 Analytics for IT and Clinical InsightsHl7 Analytics for IT and Clinical Insights
Hl7 Analytics for IT and Clinical Insights
 
Predictive analytics in action real-world examples and advice
Predictive analytics in action real-world examples and advicePredictive analytics in action real-world examples and advice
Predictive analytics in action real-world examples and advice
 
Real-Time Clinical Analytics
Real-Time Clinical AnalyticsReal-Time Clinical Analytics
Real-Time Clinical Analytics
 
How to Evaluate a Clinical Analytics Vendor: A Checklist
How to Evaluate a Clinical Analytics Vendor: A ChecklistHow to Evaluate a Clinical Analytics Vendor: A Checklist
How to Evaluate a Clinical Analytics Vendor: A Checklist
 
Introduction To Predictive Analytics Part I
Introduction To Predictive Analytics   Part IIntroduction To Predictive Analytics   Part I
Introduction To Predictive Analytics Part I
 
Healthcare Analytics Adoption Model -- Updated
Healthcare Analytics Adoption Model -- UpdatedHealthcare Analytics Adoption Model -- Updated
Healthcare Analytics Adoption Model -- Updated
 
Predictive Analytics: Context and Use Cases
Predictive Analytics: Context and Use CasesPredictive Analytics: Context and Use Cases
Predictive Analytics: Context and Use Cases
 
Pfizer interview questions and answers
Pfizer interview questions and answersPfizer interview questions and answers
Pfizer interview questions and answers
 
Improving Patient Safety and Quality Through Culture, Clinical Analytics, Evi...
Improving Patient Safety and Quality Through Culture, Clinical Analytics, Evi...Improving Patient Safety and Quality Through Culture, Clinical Analytics, Evi...
Improving Patient Safety and Quality Through Culture, Clinical Analytics, Evi...
 
Predictive Analytics - An Overview
Predictive Analytics - An OverviewPredictive Analytics - An Overview
Predictive Analytics - An Overview
 
Clinical Analytics for Improving Health Outcomes
Clinical Analytics for Improving Health OutcomesClinical Analytics for Improving Health Outcomes
Clinical Analytics for Improving Health Outcomes
 
Big Data in Healthcare Made Simple: Where It Stands Today and Where It’s Going
Big Data in Healthcare Made Simple: Where It Stands Today and Where It’s GoingBig Data in Healthcare Made Simple: Where It Stands Today and Where It’s Going
Big Data in Healthcare Made Simple: Where It Stands Today and Where It’s Going
 
What is Big Data?
What is Big Data?What is Big Data?
What is Big Data?
 

Similar to Improving Clinical Outcomes for Malnourished Patients Through Healthcare Analytics

Mobile Health at Ochsner: The Apple HealthKit and Epic EMR Integration
Mobile Health at Ochsner: The Apple HealthKit and Epic EMR IntegrationMobile Health at Ochsner: The Apple HealthKit and Epic EMR Integration
Mobile Health at Ochsner: The Apple HealthKit and Epic EMR IntegrationRahlyn Gossen
 
Health2 150416154304-conversion-gate01
Health2 150416154304-conversion-gate01Health2 150416154304-conversion-gate01
Health2 150416154304-conversion-gate01Adam Rex
 
Miles Snowden, MD - Prevention, Wellness & Outcomes from a Payer Prospective
Miles Snowden, MD - Prevention, Wellness & Outcomes from a Payer ProspectiveMiles Snowden, MD - Prevention, Wellness & Outcomes from a Payer Prospective
Miles Snowden, MD - Prevention, Wellness & Outcomes from a Payer ProspectiveCleveland HeartLab, Inc.
 
Quality Data is Essential for Doctors Concerned with Patient Engagement
Quality Data is Essential for Doctors Concerned with Patient EngagementQuality Data is Essential for Doctors Concerned with Patient Engagement
Quality Data is Essential for Doctors Concerned with Patient EngagementHealth Catalyst
 
March 2001I N S T I T U T E O F M E D I C I N E Shap.docx
March 2001I N S T I T U T E O F M E D I C I N E Shap.docxMarch 2001I N S T I T U T E O F M E D I C I N E Shap.docx
March 2001I N S T I T U T E O F M E D I C I N E Shap.docxwkyra78
 
Precise Patient Registries: The Foundation for Clinical Research & Population...
Precise Patient Registries: The Foundation for Clinical Research & Population...Precise Patient Registries: The Foundation for Clinical Research & Population...
Precise Patient Registries: The Foundation for Clinical Research & Population...Health Catalyst
 
Never mind the data, show me the outcome
Never mind the data, show me the outcomeNever mind the data, show me the outcome
Never mind the data, show me the outcomeNUS-ISS
 
An ACO Case Study: Quality Improvement in Healthcare
An ACO Case Study: Quality Improvement in HealthcareAn ACO Case Study: Quality Improvement in Healthcare
An ACO Case Study: Quality Improvement in HealthcareHealth Catalyst
 
Five Data-driven Patient Empowerment Strategies
Five Data-driven Patient Empowerment StrategiesFive Data-driven Patient Empowerment Strategies
Five Data-driven Patient Empowerment StrategiesHealth Catalyst
 
I reland feb 2014
I reland feb  2014 I reland feb  2014
I reland feb 2014 Paul Grundy
 
Technology will save our minds and bodies
Technology will save our minds and bodiesTechnology will save our minds and bodies
Technology will save our minds and bodiesKristynKing
 
Six Ways Health Systems Use Analytics to Improve Patient Safety
Six Ways Health Systems Use Analytics to Improve Patient SafetySix Ways Health Systems Use Analytics to Improve Patient Safety
Six Ways Health Systems Use Analytics to Improve Patient SafetyHealth Catalyst
 
The 12 Criteria of Population Health Management
The 12 Criteria of Population Health ManagementThe 12 Criteria of Population Health Management
The 12 Criteria of Population Health ManagementDale Sanders
 
MedicalResearch.com: Medical Research Exclusive Interviews November 21 2014
MedicalResearch.com:  Medical Research Exclusive Interviews November 21 2014MedicalResearch.com:  Medical Research Exclusive Interviews November 21 2014
MedicalResearch.com: Medical Research Exclusive Interviews November 21 2014Marie Benz MD FAAD
 
Patient Centered Medical Home
Patient Centered Medical HomePatient Centered Medical Home
Patient Centered Medical HomeRyan Squire
 
Pediatric Adverse Drug Events Presentation
Pediatric Adverse Drug Events PresentationPediatric Adverse Drug Events Presentation
Pediatric Adverse Drug Events PresentationJordan Gamart
 
[Medisetter] We Help Your Employees Manage Their Health Better
[Medisetter] We Help Your Employees Manage Their Health Better[Medisetter] We Help Your Employees Manage Their Health Better
[Medisetter] We Help Your Employees Manage Their Health BetterThuyNguyen1219
 

Similar to Improving Clinical Outcomes for Malnourished Patients Through Healthcare Analytics (20)

Mobile Health at Ochsner: The Apple HealthKit and Epic EMR Integration
Mobile Health at Ochsner: The Apple HealthKit and Epic EMR IntegrationMobile Health at Ochsner: The Apple HealthKit and Epic EMR Integration
Mobile Health at Ochsner: The Apple HealthKit and Epic EMR Integration
 
Health2 150416154304-conversion-gate01
Health2 150416154304-conversion-gate01Health2 150416154304-conversion-gate01
Health2 150416154304-conversion-gate01
 
Miles Snowden, MD - Prevention, Wellness & Outcomes from a Payer Prospective
Miles Snowden, MD - Prevention, Wellness & Outcomes from a Payer ProspectiveMiles Snowden, MD - Prevention, Wellness & Outcomes from a Payer Prospective
Miles Snowden, MD - Prevention, Wellness & Outcomes from a Payer Prospective
 
mHealth for providers in India
mHealth for providers in IndiamHealth for providers in India
mHealth for providers in India
 
Chronic illness: Wellness Solutions Personalized with Genomics & Biometrics
Chronic illness: Wellness Solutions  Personalized with Genomics & BiometricsChronic illness: Wellness Solutions  Personalized with Genomics & Biometrics
Chronic illness: Wellness Solutions Personalized with Genomics & Biometrics
 
Learning Health Systems
Learning Health SystemsLearning Health Systems
Learning Health Systems
 
Quality Data is Essential for Doctors Concerned with Patient Engagement
Quality Data is Essential for Doctors Concerned with Patient EngagementQuality Data is Essential for Doctors Concerned with Patient Engagement
Quality Data is Essential for Doctors Concerned with Patient Engagement
 
March 2001I N S T I T U T E O F M E D I C I N E Shap.docx
March 2001I N S T I T U T E O F M E D I C I N E Shap.docxMarch 2001I N S T I T U T E O F M E D I C I N E Shap.docx
March 2001I N S T I T U T E O F M E D I C I N E Shap.docx
 
Precise Patient Registries: The Foundation for Clinical Research & Population...
Precise Patient Registries: The Foundation for Clinical Research & Population...Precise Patient Registries: The Foundation for Clinical Research & Population...
Precise Patient Registries: The Foundation for Clinical Research & Population...
 
Never mind the data, show me the outcome
Never mind the data, show me the outcomeNever mind the data, show me the outcome
Never mind the data, show me the outcome
 
An ACO Case Study: Quality Improvement in Healthcare
An ACO Case Study: Quality Improvement in HealthcareAn ACO Case Study: Quality Improvement in Healthcare
An ACO Case Study: Quality Improvement in Healthcare
 
Five Data-driven Patient Empowerment Strategies
Five Data-driven Patient Empowerment StrategiesFive Data-driven Patient Empowerment Strategies
Five Data-driven Patient Empowerment Strategies
 
I reland feb 2014
I reland feb  2014 I reland feb  2014
I reland feb 2014
 
Technology will save our minds and bodies
Technology will save our minds and bodiesTechnology will save our minds and bodies
Technology will save our minds and bodies
 
Six Ways Health Systems Use Analytics to Improve Patient Safety
Six Ways Health Systems Use Analytics to Improve Patient SafetySix Ways Health Systems Use Analytics to Improve Patient Safety
Six Ways Health Systems Use Analytics to Improve Patient Safety
 
The 12 Criteria of Population Health Management
The 12 Criteria of Population Health ManagementThe 12 Criteria of Population Health Management
The 12 Criteria of Population Health Management
 
MedicalResearch.com: Medical Research Exclusive Interviews November 21 2014
MedicalResearch.com:  Medical Research Exclusive Interviews November 21 2014MedicalResearch.com:  Medical Research Exclusive Interviews November 21 2014
MedicalResearch.com: Medical Research Exclusive Interviews November 21 2014
 
Patient Centered Medical Home
Patient Centered Medical HomePatient Centered Medical Home
Patient Centered Medical Home
 
Pediatric Adverse Drug Events Presentation
Pediatric Adverse Drug Events PresentationPediatric Adverse Drug Events Presentation
Pediatric Adverse Drug Events Presentation
 
[Medisetter] We Help Your Employees Manage Their Health Better
[Medisetter] We Help Your Employees Manage Their Health Better[Medisetter] We Help Your Employees Manage Their Health Better
[Medisetter] We Help Your Employees Manage Their Health Better
 

More from NUS-ISS

Designing Impactful Services and User Experience - Lim Wee Khee
Designing Impactful Services and User Experience - Lim Wee KheeDesigning Impactful Services and User Experience - Lim Wee Khee
Designing Impactful Services and User Experience - Lim Wee KheeNUS-ISS
 
Upskilling the Evolving Workforce with Digital Fluency for Tomorrow's Challen...
Upskilling the Evolving Workforce with Digital Fluency for Tomorrow's Challen...Upskilling the Evolving Workforce with Digital Fluency for Tomorrow's Challen...
Upskilling the Evolving Workforce with Digital Fluency for Tomorrow's Challen...NUS-ISS
 
How the World's Leading Independent Automotive Distributor is Reinventing Its...
How the World's Leading Independent Automotive Distributor is Reinventing Its...How the World's Leading Independent Automotive Distributor is Reinventing Its...
How the World's Leading Independent Automotive Distributor is Reinventing Its...NUS-ISS
 
The Importance of Cybersecurity for Digital Transformation
The Importance of Cybersecurity for Digital TransformationThe Importance of Cybersecurity for Digital Transformation
The Importance of Cybersecurity for Digital TransformationNUS-ISS
 
Architecting CX Measurement Frameworks and Ensuring CX Metrics are fit for Pu...
Architecting CX Measurement Frameworks and Ensuring CX Metrics are fit for Pu...Architecting CX Measurement Frameworks and Ensuring CX Metrics are fit for Pu...
Architecting CX Measurement Frameworks and Ensuring CX Metrics are fit for Pu...NUS-ISS
 
Understanding GenAI/LLM and What is Google Offering - Felix Goh
Understanding GenAI/LLM and What is Google Offering - Felix GohUnderstanding GenAI/LLM and What is Google Offering - Felix Goh
Understanding GenAI/LLM and What is Google Offering - Felix GohNUS-ISS
 
Digital Product-Centric Enterprise and Enterprise Architecture - Tan Eng Tsze
Digital Product-Centric Enterprise and Enterprise Architecture - Tan Eng TszeDigital Product-Centric Enterprise and Enterprise Architecture - Tan Eng Tsze
Digital Product-Centric Enterprise and Enterprise Architecture - Tan Eng TszeNUS-ISS
 
Emerging & Future Technology - How to Prepare for the Next 10 Years of Radica...
Emerging & Future Technology - How to Prepare for the Next 10 Years of Radica...Emerging & Future Technology - How to Prepare for the Next 10 Years of Radica...
Emerging & Future Technology - How to Prepare for the Next 10 Years of Radica...NUS-ISS
 
Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum...
Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum...Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum...
Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum...NUS-ISS
 
Supply Chain Security for Containerised Workloads - Lee Chuk Munn
Supply Chain Security for Containerised Workloads - Lee Chuk MunnSupply Chain Security for Containerised Workloads - Lee Chuk Munn
Supply Chain Security for Containerised Workloads - Lee Chuk MunnNUS-ISS
 
Future of Learning - Yap Aye Wee.pdf
Future of Learning - Yap Aye Wee.pdfFuture of Learning - Yap Aye Wee.pdf
Future of Learning - Yap Aye Wee.pdfNUS-ISS
 
Future of Learning - Khoong Chan Meng
Future of Learning - Khoong Chan MengFuture of Learning - Khoong Chan Meng
Future of Learning - Khoong Chan MengNUS-ISS
 
Site Reliability Engineer (SRE), We Keep The Lights On 24/7
Site Reliability Engineer (SRE), We Keep The Lights On 24/7Site Reliability Engineer (SRE), We Keep The Lights On 24/7
Site Reliability Engineer (SRE), We Keep The Lights On 24/7NUS-ISS
 
Product Management in The Trenches for a Cloud Service
Product Management in The Trenches for a Cloud ServiceProduct Management in The Trenches for a Cloud Service
Product Management in The Trenches for a Cloud ServiceNUS-ISS
 
Overview of Data and Analytics Essentials and Foundations
Overview of Data and Analytics Essentials and FoundationsOverview of Data and Analytics Essentials and Foundations
Overview of Data and Analytics Essentials and FoundationsNUS-ISS
 
Predictive Analytics
Predictive AnalyticsPredictive Analytics
Predictive AnalyticsNUS-ISS
 
Feature Engineering for IoT
Feature Engineering for IoTFeature Engineering for IoT
Feature Engineering for IoTNUS-ISS
 
Master of Technology in Software Engineering
Master of Technology in Software EngineeringMaster of Technology in Software Engineering
Master of Technology in Software EngineeringNUS-ISS
 
Master of Technology in Enterprise Business Analytics
Master of Technology in Enterprise Business AnalyticsMaster of Technology in Enterprise Business Analytics
Master of Technology in Enterprise Business AnalyticsNUS-ISS
 
Diagnosing Complex Problems Using System Archetypes
Diagnosing Complex Problems Using System ArchetypesDiagnosing Complex Problems Using System Archetypes
Diagnosing Complex Problems Using System ArchetypesNUS-ISS
 

More from NUS-ISS (20)

Designing Impactful Services and User Experience - Lim Wee Khee
Designing Impactful Services and User Experience - Lim Wee KheeDesigning Impactful Services and User Experience - Lim Wee Khee
Designing Impactful Services and User Experience - Lim Wee Khee
 
Upskilling the Evolving Workforce with Digital Fluency for Tomorrow's Challen...
Upskilling the Evolving Workforce with Digital Fluency for Tomorrow's Challen...Upskilling the Evolving Workforce with Digital Fluency for Tomorrow's Challen...
Upskilling the Evolving Workforce with Digital Fluency for Tomorrow's Challen...
 
How the World's Leading Independent Automotive Distributor is Reinventing Its...
How the World's Leading Independent Automotive Distributor is Reinventing Its...How the World's Leading Independent Automotive Distributor is Reinventing Its...
How the World's Leading Independent Automotive Distributor is Reinventing Its...
 
The Importance of Cybersecurity for Digital Transformation
The Importance of Cybersecurity for Digital TransformationThe Importance of Cybersecurity for Digital Transformation
The Importance of Cybersecurity for Digital Transformation
 
Architecting CX Measurement Frameworks and Ensuring CX Metrics are fit for Pu...
Architecting CX Measurement Frameworks and Ensuring CX Metrics are fit for Pu...Architecting CX Measurement Frameworks and Ensuring CX Metrics are fit for Pu...
Architecting CX Measurement Frameworks and Ensuring CX Metrics are fit for Pu...
 
Understanding GenAI/LLM and What is Google Offering - Felix Goh
Understanding GenAI/LLM and What is Google Offering - Felix GohUnderstanding GenAI/LLM and What is Google Offering - Felix Goh
Understanding GenAI/LLM and What is Google Offering - Felix Goh
 
Digital Product-Centric Enterprise and Enterprise Architecture - Tan Eng Tsze
Digital Product-Centric Enterprise and Enterprise Architecture - Tan Eng TszeDigital Product-Centric Enterprise and Enterprise Architecture - Tan Eng Tsze
Digital Product-Centric Enterprise and Enterprise Architecture - Tan Eng Tsze
 
Emerging & Future Technology - How to Prepare for the Next 10 Years of Radica...
Emerging & Future Technology - How to Prepare for the Next 10 Years of Radica...Emerging & Future Technology - How to Prepare for the Next 10 Years of Radica...
Emerging & Future Technology - How to Prepare for the Next 10 Years of Radica...
 
Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum...
Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum...Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum...
Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum...
 
Supply Chain Security for Containerised Workloads - Lee Chuk Munn
Supply Chain Security for Containerised Workloads - Lee Chuk MunnSupply Chain Security for Containerised Workloads - Lee Chuk Munn
Supply Chain Security for Containerised Workloads - Lee Chuk Munn
 
Future of Learning - Yap Aye Wee.pdf
Future of Learning - Yap Aye Wee.pdfFuture of Learning - Yap Aye Wee.pdf
Future of Learning - Yap Aye Wee.pdf
 
Future of Learning - Khoong Chan Meng
Future of Learning - Khoong Chan MengFuture of Learning - Khoong Chan Meng
Future of Learning - Khoong Chan Meng
 
Site Reliability Engineer (SRE), We Keep The Lights On 24/7
Site Reliability Engineer (SRE), We Keep The Lights On 24/7Site Reliability Engineer (SRE), We Keep The Lights On 24/7
Site Reliability Engineer (SRE), We Keep The Lights On 24/7
 
Product Management in The Trenches for a Cloud Service
Product Management in The Trenches for a Cloud ServiceProduct Management in The Trenches for a Cloud Service
Product Management in The Trenches for a Cloud Service
 
Overview of Data and Analytics Essentials and Foundations
Overview of Data and Analytics Essentials and FoundationsOverview of Data and Analytics Essentials and Foundations
Overview of Data and Analytics Essentials and Foundations
 
Predictive Analytics
Predictive AnalyticsPredictive Analytics
Predictive Analytics
 
Feature Engineering for IoT
Feature Engineering for IoTFeature Engineering for IoT
Feature Engineering for IoT
 
Master of Technology in Software Engineering
Master of Technology in Software EngineeringMaster of Technology in Software Engineering
Master of Technology in Software Engineering
 
Master of Technology in Enterprise Business Analytics
Master of Technology in Enterprise Business AnalyticsMaster of Technology in Enterprise Business Analytics
Master of Technology in Enterprise Business Analytics
 
Diagnosing Complex Problems Using System Archetypes
Diagnosing Complex Problems Using System ArchetypesDiagnosing Complex Problems Using System Archetypes
Diagnosing Complex Problems Using System Archetypes
 

Recently uploaded

Call Girls Service In Goa 💋 9316020077💋 Goa Call Girls By Russian Call Girl...
Call Girls Service In Goa  💋 9316020077💋 Goa Call Girls  By Russian Call Girl...Call Girls Service In Goa  💋 9316020077💋 Goa Call Girls  By Russian Call Girl...
Call Girls Service In Goa 💋 9316020077💋 Goa Call Girls By Russian Call Girl...russian goa call girl and escorts service
 
bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetbhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...Sheetaleventcompany
 
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real MeetCall Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meetpriyashah722354
 
Punjab❤️Call girls in Mohali ☎️7435815124☎️ Call Girl service in Mohali☎️ Moh...
Punjab❤️Call girls in Mohali ☎️7435815124☎️ Call Girl service in Mohali☎️ Moh...Punjab❤️Call girls in Mohali ☎️7435815124☎️ Call Girl service in Mohali☎️ Moh...
Punjab❤️Call girls in Mohali ☎️7435815124☎️ Call Girl service in Mohali☎️ Moh...Sheetaleventcompany
 
❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...
❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...
❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...chandigarhentertainm
 
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅gragmanisha42
 
Call Girls Thane Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Thane Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Thane Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Thane Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
nagpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
nagpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetnagpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
nagpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
Hubli Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Hubli Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetHubli Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Hubli Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetraisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
Jalna Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Jalna Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetJalna Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Jalna Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
VIP Call Girl Sector 32 Noida Just Book Me 9711199171
VIP Call Girl Sector 32 Noida Just Book Me 9711199171VIP Call Girl Sector 32 Noida Just Book Me 9711199171
VIP Call Girl Sector 32 Noida Just Book Me 9711199171Call Girls Service Gurgaon
 
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Me
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near MeVIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Me
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Memriyagarg453
 
Jaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
Jaipur Call Girls 9257276172 Call Girl in Jaipur RajasthanJaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
Jaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthanindiancallgirl4rent
 
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetTirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
VIP Call Girl Sector 10 Noida Call Me: 9711199171
VIP Call Girl Sector 10 Noida Call Me: 9711199171VIP Call Girl Sector 10 Noida Call Me: 9711199171
VIP Call Girl Sector 10 Noida Call Me: 9711199171Call Girls Service Gurgaon
 
Chandigarh Escorts, 😋9988299661 😋50% off at Escort Service in Chandigarh
Chandigarh Escorts, 😋9988299661 😋50% off at Escort Service in ChandigarhChandigarh Escorts, 😋9988299661 😋50% off at Escort Service in Chandigarh
Chandigarh Escorts, 😋9988299661 😋50% off at Escort Service in ChandigarhSheetaleventcompany
 
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetSambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 

Recently uploaded (20)

Call Girls Service In Goa 💋 9316020077💋 Goa Call Girls By Russian Call Girl...
Call Girls Service In Goa  💋 9316020077💋 Goa Call Girls  By Russian Call Girl...Call Girls Service In Goa  💋 9316020077💋 Goa Call Girls  By Russian Call Girl...
Call Girls Service In Goa 💋 9316020077💋 Goa Call Girls By Russian Call Girl...
 
bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetbhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
9316020077📞Goa Call Girls Numbers, Call Girls Whatsapp Numbers Goa
9316020077📞Goa  Call Girls  Numbers, Call Girls  Whatsapp Numbers Goa9316020077📞Goa  Call Girls  Numbers, Call Girls  Whatsapp Numbers Goa
9316020077📞Goa Call Girls Numbers, Call Girls Whatsapp Numbers Goa
 
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...
 
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real MeetCall Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
 
Punjab❤️Call girls in Mohali ☎️7435815124☎️ Call Girl service in Mohali☎️ Moh...
Punjab❤️Call girls in Mohali ☎️7435815124☎️ Call Girl service in Mohali☎️ Moh...Punjab❤️Call girls in Mohali ☎️7435815124☎️ Call Girl service in Mohali☎️ Moh...
Punjab❤️Call girls in Mohali ☎️7435815124☎️ Call Girl service in Mohali☎️ Moh...
 
❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...
❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...
❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...
 
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
 
Call Girls Thane Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Thane Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Thane Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Thane Just Call 9907093804 Top Class Call Girl Service Available
 
nagpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
nagpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetnagpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
nagpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Hubli Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Hubli Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetHubli Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Hubli Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetraisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Jalna Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Jalna Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetJalna Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Jalna Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
VIP Call Girl Sector 32 Noida Just Book Me 9711199171
VIP Call Girl Sector 32 Noida Just Book Me 9711199171VIP Call Girl Sector 32 Noida Just Book Me 9711199171
VIP Call Girl Sector 32 Noida Just Book Me 9711199171
 
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Me
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near MeVIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Me
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Me
 
Jaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
Jaipur Call Girls 9257276172 Call Girl in Jaipur RajasthanJaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
Jaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
 
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetTirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
VIP Call Girl Sector 10 Noida Call Me: 9711199171
VIP Call Girl Sector 10 Noida Call Me: 9711199171VIP Call Girl Sector 10 Noida Call Me: 9711199171
VIP Call Girl Sector 10 Noida Call Me: 9711199171
 
Chandigarh Escorts, 😋9988299661 😋50% off at Escort Service in Chandigarh
Chandigarh Escorts, 😋9988299661 😋50% off at Escort Service in ChandigarhChandigarh Escorts, 😋9988299661 😋50% off at Escort Service in Chandigarh
Chandigarh Escorts, 😋9988299661 😋50% off at Escort Service in Chandigarh
 
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetSambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 

Improving Clinical Outcomes for Malnourished Patients Through Healthcare Analytics

  • 1. ©Truven Health Analytics Inc. All Rights Reserved. 1 Sandeep Makhijani – Regional Director, APAC Truven Health Analytics Improving Clinical and Operational Outcomes by Leveraging Healthcare Data Analytics at the Point of Care
  • 2. ©Truven Health Analytics Inc. All Rights Reserved. 2 News Flash !!  There are currently about 7.1 billion people on Earth, this number could rise to about 9 billion by 2050 - and as many as 25 billion by 2100 *  The population is not only growing it is also living longer  Even another world war or a lethal pandemic won't slow down the population time bomb  Can we use Data and Analytics to transform Healthcare for this unstoppable population growth? * http://toi.in/pQsD1b
  • 3. ©Truven Health Analytics Inc. All Rights Reserved. 3 Discussion Points  Healthcare Analytics  Using Data and Analytics to transform Healthcare  Role of Clinical Content and a Clinical Decision Support System to support Healthcare Analytics  Leveraging Healthcare Analytics for Evidence based real-time Clinical Surveillance  Using Healthcare Analytics to Improve Clinical, Operational and Financial performance across the Continuum of Care
  • 4. ©Truven Health Analytics Inc. All Rights Reserved. 4©Truven Health Analytics Inc. All Rights Reserved. 4 Healthcare Analytics
  • 5. ©Truven Health Analytics Inc. All Rights Reserved. 5 Healthcare Analytics  Healthcare Analytics is the systematic use of Patient Specific Data and related insights developed through Applied Analytical Disciplines to drive Evidence based Clinical Decision Making for patient safety, care management, outcomes measurement and clinical learning.  Healthcare Analytics helps achieve the following Business Goals:  Healthcare Analytics Solutions will:  Provide Real-time Surveillance and Real-time Intervention capabilities leveraging Evidence-based Clinical Content  Intervention Documentation Capability  Measurement, Analysis and Reporting Capability
  • 6. ©Truven Health Analytics Inc. All Rights Reserved. 6
  • 7. ©Truven Health Analytics Inc. All Rights Reserved. 7
  • 8. ©Truven Health Analytics Inc. All Rights Reserved. 8 Need for Healthcare Analytics Providers Needs  Accelerated Demand for healthcare services – Growing and Ageing Population  Optimal Usage of healthcare resources  Improve Clinical Outcomes  Manage Cost of Care  Effective gathering, sharing and use of patient centric information across the continuum of care Patient Needs  Higher Expectations from healthcare providers  More Educated about their health and healthcare needs  Greater Access to Information than ever before  Demanding increasing Accountability from their doctors, nurses and health plans.
  • 9. ©Truven Health Analytics Inc. All Rights Reserved. 9 An EMR is not enough….you need Data and Analytics to Transform Healthcare! Providers  Improve service delivery and operations  Provide means for measuring and evaluating critical organizational data  Expand access to healthcare, align pay with performance and help hold down growth in healthcare costs.  Help design and plan healthcare policy and programs  Improved effectiveness and efficiency of the Healthcare System Patients  Better insights into Patient Data can help achieve better Clinical Outcomes  Improve Patient Safety  Aid exploration and discovery of new treatments and technologies  Personalized healthcare  Information leading to insight can help informed and educated consumers become more accountable for their own health
  • 10. ©Truven Health Analytics Inc. All Rights Reserved. 10©Truven Health Analytics Inc. All Rights Reserved. 10 Role of Clinical Content and CDSS to Support Healthcare Analytics
  • 11. ©Truven Health Analytics Inc. All Rights Reserved. 11 Medication Management Process Patient’s unique physiology & values Evidence-Based Medicine = Clinical Content and CDSS Clinical Expertise Role of Evidence Based Medicine in the Medication Management Process
  • 12. ©Truven Health Analytics Inc. All Rights Reserved. 12 Creating Evidence Based Clinical Content CONTENT CREATION PROCESS
  • 13. ©Truven Health Analytics Inc. All Rights Reserved. 13 7 Clinical Decision Support System  Clinical Decision Support System (CDSS) provides clinicians with knowledge and patient-specific information, intelligently filtered and presented at appropriate times, to enhance the practice of health care
  • 14. ©Truven Health Analytics Inc. All Rights Reserved. 14 Clinical Content and CDSS is the foundation of Healthcare Analytics  Referential Evidence-based Clinical Content  Non-Patient Specific, Facility Specific  Cloud based access  Stand Alone  Patient Specific  Available at Point of Care  Integrated with EMR  Provides Interaction Alerts based on Evidence-based Clinical Content  Patient Specific  Available at Point of Care  Integrated with EMR  Real-time Surveillance and Real-time Intervention leveraging Evidence-based Clinical Content  Documentation Capability  Measurement, Analysis and Reporting Healthcare Analytics Active CDSS Passive CDSS
  • 15. ©Truven Health Analytics Inc. All Rights Reserved. 15©Truven Health Analytics Inc. All Rights Reserved. 15 Leveraging Healthcare Analytics for Evidence based Real-time Clinical Surveillance
  • 16. ©Truven Health Analytics Inc. All Rights Reserved. 16 Leveraging Healthcare Analytics for Evidence based Real- time Clinical Surveillance to Identify Patients at Risk of an Adverse Event 16 Evidence Based Clinical Content CDS Rules Clinical Decision Support
  • 17. ©Truven Health Analytics Inc. All Rights Reserved. 17 Pre-Built Evidence-Based Clinical Decision Support Rules • CDS Rules should be editable to match hospital- specific criteria • Ability to create new profiles on demand •Ability to query on a virtually unlimited number of data elements
  • 18. ©Truven Health Analytics Inc. All Rights Reserved. 18 Clinical Dashboard Helps Clinicians Improve Outcomes and Manage Risk Real -time surveillance of at-risk patients Easy documentation of intervention within the workflow Comprehensive medication, lab and report information – with integrated access to evidence- based content Quick view of critical values with automated interaction checking and pharmacy tools and calculators
  • 19. ©Truven Health Analytics Inc. All Rights Reserved. 19 The key is being able to intervene before risk increases and expenses are incurred 19
  • 20. ©Truven Health Analytics Inc. All Rights Reserved. 20 Healthcare Analytics for Evidence based Real-time Clinical Surveillance  Data Aggregation for Analytics  Evidence-based CDS Rules  Timely and effective Alerts  Focused user-interface  Integrated, context-aware CDS knowledge  Documentation of Clinical Activity  Data-mining and Reporting capabilities 20
  • 21. ©Truven Health Analytics Inc. All Rights Reserved. 21©Truven Health Analytics Inc. All Rights Reserved. 21 Improving clinical, operational and financial performance across the continuum of care using Healthcare Analytics
  • 22. ©Truven Health Analytics Inc. All Rights Reserved. 22©Truven Health Analytics Inc. All Rights Reserved. 22 Malnutrition in Adult Patient Population Surveillance
  • 23. ©Truven Health Analytics Inc. All Rights Reserved. 23 Malnutrition in Adult Patient Population • Adult malnutrition is a common problem, affecting as many as 60 percent of hospitalized patients in the U.S. • A major contributor to poor patient outcomes, longer hospital stays, and higher healthcare costs. • Malnutrition is often present on hospital admission, • Early Identification of malnourished patients, or those at risk of being malnourished can be treated appropriately, leading to better outcomes
  • 24. ©Truven Health Analytics Inc. All Rights Reserved. 24 This is a Problem in Singapore too… 1 in 3 elderly Singaporeans not eating right 1 in 3 elderly Singaporeans not eating right Thursday, 14 l 07 l 2011 Source: The Straits Times By: Feng Zengkun Lack of proper diet can put senior citizens at high risk of malnutrition WHETHER out of a diminished enjoyment of food or the fact that they live alone, one in three elderly people is not taking in enough calcium, carbohydrates and fibre. The upshot of their poor food choices? They are at high risk of malnutrition, a condition caused by a diet of too much or too few nutrients such as zinc or iron. The findings were published recently in two separate studies by Tan Tock Seng Hospital and health-care company Abbott Nutrition. Together, the studies surveyed about 700 elderly people in Singapore aged 50 and older. The Abbott study also found that the elderly living in one- and two-room flats have a higher risk of malnutrition. Experts The Straits Times spoke to said the poor attention many elderly people paid to their diet could lead to more frequent falls, slower recovery from injuries and a host of diet-related complications such as fragile bones. At a nutrition seminar in Singapore yesterday, Professor Jean-Pierre Michel, 51, head of the geriatric ward at the Geneva Medical School and University Hospitals, called the findings “serious”. He said the lack of a proper diet was linked to a condition called sarcopenia, which causes people to lose muscle mass and strength. This could lead to the elderly becoming weaker and more prone to falls, he added, noting that about 20 per cent of people who suffer hip fractures die within a year of the injury. “Half of them never regain their former mobility,” he said. Experts The Straits Times spoke to said reasons for the elderly’s poor diet ranged from a lack of interest in food to their living environment. Dietitian Teo Soo Lay at the Singapore General Hospital said elderly people who live alone have no motivation to cook for themselves. “Most of the time, they will just eat biscuits or plain bread for their main meals, which is very poor nutrition,” she added. Others said natural consequences of ageing, such as problems with chewing and swallowing, also put the elderly off their food. Mr Kavin Seow, director of Touch Home Care, which delivers meals to the elderly, said it makes sure the food comes in small pieces to aid digestion. “We don’t serve hard and deep-fried food either,” he added. …….. http://www.healthxchange.com.sg/News/Pages/Elderly-Singaporeans-not-eating-right.aspx
  • 25. ©Truven Health Analytics Inc. All Rights Reserved. 25 Freeman Health System • 517 beds, 3 hospital system • Serves an area of 450,000 people from Missouri, Arkansas, Kansas, and Oklahoma • U.S. News & World Report recently ranked Freeman as the #1 hospital in Southwest Missouri and #4 hospital in the state of Missouri.
  • 26. ©Truven Health Analytics Inc. All Rights Reserved. 26 Problem of tracking Malnourished Patients at Freeman  Coders spent significant time each day manually reviewing patient records to identify patients with signs of malnutrition  Once identified in the hospital, a nutrition support pharmacist would ensure intervention  Charts were reviewed once more for coding accuracy to check for reimbursement.  Process was time-consuming, inefficient, and challenging to identify malnourished patients early enough to avoid complications, as well as prior to hospital discharge
  • 27. ©Truven Health Analytics Inc. All Rights Reserved. 27 Using Healthcare Analytics to track Malnourished Patients  Implement a real-time, enterprise-wide clinical surveillance technology solution  CDS profile identifies patients who have early warning signs of malnutrition.  Real-time surveillance of structured and unstructured patient data  Alerts to Clinicians on Patients identified  Leverage built-in evidence-based guidelines to address the warning signs and avoid complications  Easy to use tools to document the clinical intervention
  • 28. ©Truven Health Analytics Inc. All Rights Reserved. 28 Malnutrition Surveillance Profile Created a clinical profile within Micromedex 360 Care Insights to identify malnourished patients during hospitalization
  • 29. ©Truven Health Analytics Inc. All Rights Reserved. 29 Results of Malnutrition Interventions  Improved Patient Care  Identification and treatment of malnutrition in the hospital results in improved patient outcomes and decreased lengths of stay  Time Savings  Healthcare Analytics solution automated the extensive clinical data review required to accurately identify patients  After building the Malnutrition profile, their pharmacist ran a list every morning, which takes 3 minutes.  Cost Savings  Between August 2013 - January 2014, Freeman’s Malnutrition profile has resulted in 13 interventions, for a total dollar revenue of $30,600.  Average increased reimbursement of $2300 per identified case  Estimate over $115,000 per year in increased reimbursement
  • 30. ©Truven Health Analytics Inc. All Rights Reserved. 30©Truven Health Analytics Inc. All Rights Reserved. 30 Ebola Virus Disease (EVD) Surveillance
  • 31. ©Truven Health Analytics Inc. All Rights Reserved. 31 CDC Case Definition for Ebola Virus Disease (EVD) • Suspected Case  Illness in a person who has both consistent symptoms and risk factors as follows: o Clinical criteria, which includes fever of greater than 38.6 degrees Celsius or 101.5 degrees Fahrenheit, and additional symptoms such as severe headache, muscle pain, vomiting, diarrhea, abdominal pain, or unexplained hemorrhage; AND o AND - Epidemiologic risk factors within the past 3 weeks before the onset of symptoms, such as contact with blood or other body fluids of a patient known to have or suspected to have EVD; residence in—or travel to—an area where EVD transmission is active; or direct handling of bats, rodents, or primates from disease-endemic areas.  Malaria diagnostics should also be a part of initial testing because it is a common cause of febrile illness in persons with a travel history to the affected countries. • Confirmed Case  A suspected case with laboratory-confirmed diagnostic evidence of ebola virus infection. 31 Source: Centers for Disease Control, Health Alert Network, August 1, 2014, HAN 00364 at: http://emergency.cdc.gov/han/han00364.asp
  • 32. ©Truven Health Analytics Inc. All Rights Reserved. 32 Ebola Surveillance Profile
  • 33. ©Truven Health Analytics Inc. All Rights Reserved. 33 Final Thoughts….  The world’s population is not only growing but living longer  Expectations from Healthcare Service Providers have changed dramatically  Clinicians need tools and resources at the point of care to provide the best possible care tailored to the unique needs for their patients  There is an increased risk for communicable disease and infection due to crowding and antibiotic over-utilization resulting in less efficacy  We have to leverage Technology in the form of Healthcare Analytics to Improve Clinical and Operational Outcomes  ….Don’t forget we are All Future Patients!
  • 34. ©Truven Health Analytics Inc. All Rights Reserved. 34©Truven Health Analytics Inc. All Rights Reserved. 34 Thank You Questions and Comments sandeep.makhijani@truvenhealth.com Cell: +65-96863797