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Neal Lesh Computer science applications to improve health delivery in low-income countries.

Computer science applications to improve health delivery in low-income countries

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Computer science applications to improve health delivery in low-income countries. Neal Lesh. My Story. - PowerPoint PPT Presentation

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Page 1: Computer science applications to  improve health  delivery in  low-income  countries

Neal Lesh

Computer science applications to improve health delivery in low-income countries.

Page 2: Computer science applications to  improve health  delivery in  low-income  countries
Page 3: Computer science applications to  improve health  delivery in  low-income  countries
Page 4: Computer science applications to  improve health  delivery in  low-income  countries
Page 5: Computer science applications to  improve health  delivery in  low-income  countries

My Story

Mid-thirties computer researcher seeks more fulfilling career. Goes back to school then off to Africa. Discovers things are more simple and more complex than he originally imagined. Can't imagine doing anything else...

Page 6: Computer science applications to  improve health  delivery in  low-income  countries

Thesis

It is increasingly possible to

apply computer innovation to

improve health care delivery in

low-income countries.

Page 7: Computer science applications to  improve health  delivery in  low-income  countries

Who are you?

It is increasingly possible to

apply computer innovation to

improve health care delivery in

low-income countries.

Page 8: Computer science applications to  improve health  delivery in  low-income  countries

What’s in this for you?

• Taste of global health• Confidence that information can help• Two examples

Patient record systems for AIDS treatmentMedical algorithms on handhelds

• Cautionary cartoon

Page 9: Computer science applications to  improve health  delivery in  low-income  countries

Global Health Puzzle

Canada MexicoDeaths per 1000 per year (2003 est.) 7.61 4.97

Is Mexico healthier than Canada?

Page 10: Computer science applications to  improve health  delivery in  low-income  countries

Older populations are less healthy!

Page 11: Computer science applications to  improve health  delivery in  low-income  countries

Risk Factorfor surviving the Titanic.

0

10

20

30

40

50

60

70

1st 2nd 3rd

class of service

% s

urvi

ved

Poverty as a

Page 12: Computer science applications to  improve health  delivery in  low-income  countries

Global Health

Page 13: Computer science applications to  improve health  delivery in  low-income  countries

Simple Story$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$

$

Infant mortality: 5 per 1,000 births

Maternal mortality: 8 per 100K births

Life expectancy: 78 years

Infant mortality: 95 per 1,000 births

Maternal mortality: 500-1000 per 100K

Life expectancy: 45 years

Page 14: Computer science applications to  improve health  delivery in  low-income  countries

Simple Story$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$

$$$$

Page 15: Computer science applications to  improve health  delivery in  low-income  countries

Simple Story

“We are the first generation that can end poverty.”

-Eveline Herfkens, UN Millennium Campaign

Page 16: Computer science applications to  improve health  delivery in  low-income  countries

Complexity• Corruption, careerism, tax write-offs• 5-star poverty alleviation meetings• Unintended consequences, e.g., paying volunteers• Imperialism & foreign experts

“If you want to build a ship, don't drum up people to collect wood and don't assign them tasks and work, but rather teach them to long for the endless immensity of the sea.”– Antoine de Saint-Exupery

Page 17: Computer science applications to  improve health  delivery in  low-income  countries

Information as Care

• Study: rigorous application of standard treatment protocols reduced in-hospital mortality in children’s malaria cases by 50%

• Clinician’s complaint: where are my lab results?!

• Patient Knowledge Example: five danger signs for seeking care during and after labor.

Page 18: Computer science applications to  improve health  delivery in  low-income  countries

Roadmap

• Taste of global health• Confidence that information can help• Two examples

Patient record systems for AIDS treatmentMedical algorithms on handhelds

• Cautionary cartoon

Page 19: Computer science applications to  improve health  delivery in  low-income  countries

One year later

AIDS Treatment in Rural Rwanda

Page 20: Computer science applications to  improve health  delivery in  low-income  countries

One year later

Improving Health Systems

Page 21: Computer science applications to  improve health  delivery in  low-income  countries

One year later

Infrastructure

Page 22: Computer science applications to  improve health  delivery in  low-income  countries

Electronic Medical Record (EMR)

Patient MonitoringReports

Clinicians & Patients

Managers

EMR Staff

Paper forms

Program MonitoringReports

Funder & governmentreports

$

Re-allocate resources

Page 23: Computer science applications to  improve health  delivery in  low-income  countries

Patient Monitoring

Page 24: Computer science applications to  improve health  delivery in  low-income  countries

Unsuccessful Report

Page 25: Computer science applications to  improve health  delivery in  low-income  countries

Successful Report

Page 26: Computer science applications to  improve health  delivery in  low-income  countries

Unsuccessful Report

Page 27: Computer science applications to  improve health  delivery in  low-income  countries

OpenMRS

• Open source framework for medical record systems

• www.openmrs.org

Page 28: Computer science applications to  improve health  delivery in  low-income  countries

Data Quality

• Mistyped IDs• Missing &

conflicting data• Backlog

Potential solution: point-of-care systems

Page 29: Computer science applications to  improve health  delivery in  low-income  countries

Roadmap

• Taste of global health• Confidence that information can help• Two examples

Patient record systems for AIDS treatmentMedical algorithms on handhelds

• Cautionary cartoon

Page 30: Computer science applications to  improve health  delivery in  low-income  countries

Rural Dispensary in Tanzania

Page 31: Computer science applications to  improve health  delivery in  low-income  countries

Standardized Care (IMCI)

Page 32: Computer science applications to  improve health  delivery in  low-income  countries

Standardized Care (IMCI)

Page 33: Computer science applications to  improve health  delivery in  low-income  countries

Standardized Care (IMCI)

Page 34: Computer science applications to  improve health  delivery in  low-income  countries

10

15

20

25

30

35

1999-00 2001-02

An

nu

al

mo

rta

lity

ra

te

Morogoro (IMCI) Rufiji (IMCI)

Ulanga Kilombero

Tanzania: underfive mortality was 13% lower in the two IMCI districts

Source: Schellenberg J et al

Full IMCIin HF

End ofstudy

13% difference95% CI: -7%, 30%

Significant impact on stunting

Page 35: Computer science applications to  improve health  delivery in  low-income  countries

Deploying IMCI

• IMCI – Shown to reduce mortality and morbidity– Adopted by ~100 countries

• But uptake not as good as hoped– Training expensive– Correct use tapers off over time– Supervision challenging

Page 36: Computer science applications to  improve health  delivery in  low-income  countries

How Automate IMCI?

Page 37: Computer science applications to  improve health  delivery in  low-income  countries

Why Automate IMCI?

Page 38: Computer science applications to  improve health  delivery in  low-income  countries

Why Automate IMCI?

• Improve adherence• Improve

supervision• Easier to update• More sophisticated

protocols• Reduced training

Page 39: Computer science applications to  improve health  delivery in  low-income  countries

Field Work

Results to be published in CHI’08

Page 40: Computer science applications to  improve health  delivery in  low-income  countries

Viral Training

Page 41: Computer science applications to  improve health  delivery in  low-income  countries

Adherence ResultsInvestigation

Current practice adherence

e-IMCI adherence

p-value

Vomiting 66.7% (n=24) 85.7% (n=28) -

Chest indrawing 75% (n=20) 94.4% (n=18) -

Blood in stool 71.4% (n=7) 100% (n=3) -

Measles in the last 3 months

55.6% (n=9) 95.2% (n=21) < 0.05

Tender ear 0% (n=1) 100% (n=5) -

All 61% (n=299) 84.7% (n=359) < 0.01

Page 42: Computer science applications to  improve health  delivery in  low-income  countries

What are we going to do today, Brain?

The same thing we do every day, Pinky….

Make a plan to TAKE OVER THE

WORLD!!!!!

Page 43: Computer science applications to  improve health  delivery in  low-income  countries

Thank [email protected]