The problem of fragmentation in the healthcare industry is not new. Here is my take on analyzing this problem.

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SHOBHIT ACHARYA
WHY MEDICAL DATA IS
VERY FRAGMENTED?

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AGENDA
 Identifying Data Sources
 Challenges which come due to fragmented data
 What are implications of fragmented data
 How can we integrate all data sources

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Sources of Healthcare Data
Population
Surveys
Survey of
Providers
Vital Statistics
Registers of
Diseases
Administrative
Records

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Sub Sources
Population
Surveys
1.NHIS
2.BRFSS
3.NSDUH
Registers of
Diseases
Tracking
people who
report
certain
conditions
like Cancer
and AIDS
Administrative
Records
Compiled
during a
hospital stay
or at
outpatient
clinics or
physician’s
offices
Survey of
Providers
1.Physicians
2.Hospitals
3.Nursing
homes
Vital
Statistics
1.Births
2.Deaths
3.Marriages
& divorces

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Consequences of Fragmented Health
Care
Inefficiency
Ineffectiveness
Inequality
Commoditization
Commercialization
Depersonalization
Despair and Discord

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Implications of Fragmented Data
 Poor communication raises patient cost by 75 percent.
 Poor communication leads to 70% of medical errors
 Poor communication is root cause of ¾ of preventable
readmissions- (12 Billion a year )
 Waiting for a response from care team during admissions,
transfer and discharge wastes half an hour per patient.

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Need for Integrated Healthcare
 Online tools and software are widely available to manage a
multitude of aspects of our lives — our banking, taxes,
calendars, and even music and movies.
 But when it comes to managing our health, such online systems
are conspicuously lacking or, when they exist, inadequate.

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Upside and Downside
 63 percent interested in one stop solution app that
holds all their data and medical records.
 Adoptions rate for connected heath solutions is less
then 4 percent

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Achieving Broad-Based and Sustainable
Adoption of Integrated Healthcare
Viable
Feasible
Desirable

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Designing Connected Health Solutions
Desirable
• Customer
Centered
• Easy to use
Feasible
• Technically
• Organizationally
Viable
• Supporting
Ecosystem
• Smart
• Integrated
• Value Creating

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Most Commonly Deployed Technologies
Remote Monitoring
EMR
Mobile Apps
Telehealth and online scheduling

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Transformation Through Technology-
Diabetes patient

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HealthcareApplication
• Patient sends
biometrics-
Blood
pressure, blood
glucose,
medication,
weight etc. into
a secure
HIPPA
complaint
cloud
Analytics
• Predictive
analytics
anticipate
health
needs and
risks and
communicat
e them to
primary care
physician
IntegrationwithpatientEMR
• Appointment
scheduling
• Cost
comparisons of
insurance
plans
• Automated
prescription
refills and
delivery
• This data is
further used for
research
purposes

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Key Takeaways
 Healthcare Data is Fragmented and unorganized.
 Fragmentation of healthcare data leads to wastage of
resources.
 Integrated heath solutions are the way to go.
 It is very difficult to design integrated solutions which
can be adopted by all.

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