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International Conference on Big Data for Health 11-12 February 2019

Bangabandhu International Conference Center

Dhaka, Bangladesh

Outcome Report

Access to Information (a2i), Ministry of Health and Family Welfare, Bangladesh Bureau of Statistics, UNICEF,

ICDDR,B, Measure Evaluation, and Bloomberg Data for Health (D4H) Initiative has jointly organized “International

Conference on Big Data for Health” to develop a road map for how Bangladesh’s Health community can leverage Big

Data sources and techniques to create policies and programs that improve the health situation of the people of

Bangladesh. This two-day conference was held at Bangladesh International Conference Center (BICC), Dhaka from

11th to 12th February, 2019.

Conference Objectives and Themes

The International Conference on Big Data for Health was a two-day event that advanced two objectives:

The conference identified promising Big Data applications that could significantly advance health outcomes

for the people of Bangladesh.

The conference developed a “road map” of high-priority actions needed to create an environment in

Bangladesh that will support long-term, wide-ranging use of Big Data to address Health challenges.

Conference sessions addressed these three themes: (1) international experiences with Big Data applications that

improved Health outcomes; (2) existing and potential Big Data sources for health-related applications in Bangladesh;

(3) strategies for building capacity to develop health-related Big Data applications.

Participants

The conference invited individuals positioned to take advantage of Big Data to address health challenges in

Bangladesh. The primary audience was the members of Bangladesh’s Health community, including: officials from

the Ministry of Health and Family Welfare (MOHFW), particularly the Directorate General of Health Services

(DGHS); officials from other government agencies whose mission overlaps significantly with health (such as those

that focus on the environment, education, and social welfare); and representatives from Bangladesh-based NGOs with

a Health focus (such as icddr’b and UNICEF). The conference also invited those in Bangladesh’s academic

community interested in data science and Big Data research. And the conference invited representatives of

organizations that generate Big Data (ex. providers of cellular phone service).

As an international event, the conference drew attendees from around the world. Experts who have implemented

successful health-related Big Data solutions in other countries presented their experiences and discussed the issues

that might arise in replicating these solutions in Bangladesh. Experts from 15 different countries including USA, UK,

Australia, Japan, China, etc. presented their experiences and findings. In addition, representatives of donor

organizations provided insights on the challenges of supporting the implementation of Big Data solutions.

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Organizers

a2i is a special programme of the Government of Bangladesh that catalyzes citizen-friendly public service innovations,

simplifying government and bringing it closer to the people. a2i’s strategy includes empowering civil servants with

the tools, expertise, knowledge and resources they need for experimenting and innovating citizen-centric solutions to

public service challenges.

Data for Health is a multi-year initiative co-funded by Bloomberg Philanthropies and the Australian government that

works to equip governments with the tools and systems to collect and use data to prioritize health challenges, develop

policies, deploy resources, and measure success. Vital Strategies is a global Health organization that is one of the

partners responsible for implementing this initiative.

Conference Session Outcome

Opening Ceremony:

The conference was

inaugurated by Mr.

Mustafa Jabbar,

Honorable Minister,

Ministry of Posts,

Telecommunications

and Information

Technology. In the

inaugural ceremony

said, “Bangladesh

has gained the

capability to lead in

the digital

technology world.

We are the first country to declare ourselves as digital. We will not be lagging behind in technology. Big Data wouldn’t be big

challenge for us. There are plans to introduce 5G between 2021-2023. All ministries are working on making the “Digital

Bangladesh” vision possible and now Big Data will be added as of greater importance.”

Mr. Md. Abul Kalam Azad, Principal Coordinator (SDG Affairs), Prime Minister’s Office; Mr. Md Ashadul Islam,

Secretary, Health Services Division, Ministry of Health & Family Welfare; Mr. Saurendra Nath Chakrabhartty,

Secretary, Statistics & Informatics Division, Ministry of Planning; Prof. Dr Abul Kalam Azad, Director General,

Directorate General of Health Services (DGHS); Mr. Md. Mustafizur Rahman, Project Director (Additional

Secretary), a2i Programme; Mr. Sudipto Mukerjee, Resident Representative, UNDP Bangladesh; and Mr. Anir

Chowdhury, Policy Advisor, a2i Programme were present and delivered speeches at the opening ceremony.

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Day One- 1st Session –11 February 2019

The

Promise of

Big Data

General overview of what Big Data is and its potential benefits for health

How is Big

Data

transforming

the Health

Industry: An

overview

(Key Note

Speech)

Speaker : Dr. Yves A. Lussier, Fellow ACMI, Professor of Medicine, Associate Vice President for Information

Sciences (Chief Knowledge Officer), The University of Arizona, Tucson, Director, Center for Biomedical

Informatics & Biostatistics, USA.

Findings :

This presentation focused on:

Big data importance for Health

How to mine big data

Simple health recorder disadvantages

Machine learning examples

Some practical Big Data Use cases were presented throughout the session .

The Full presentation of this session is attached in APPENDIX A

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From the

Perspective

of Pharma

companies

Speaker : Dr. Shahid Hanif, Head of Health Data & Outcomes, The Association of the British Pharmaceutical

Industry, Cambridge, UK

Findings :

How big data transformed pharma industry

Digital technology usage in Phrma industry

Emerging technologies’ requirement

Real world evidence drug development cycle

Collaboration and partnership requirements

Cases of Digital national innovation hub programme

Industry investment example

Cases:

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The Full presentation of this session is attached in APPENDIX B

From the

perspective

of Hospitals

and Clinics

Speaker : Paula Michelle Hall, Healthcare Management Consultant Training Instructor, Big Data Analytics

Specialist. - Facilitator Six Sigma Health care Centre-Green Belt, UAE

Findings:

Setting up the infrastructure requirements for big data (involvement) internally

Explored different countries’ cases of Hospitals and Clinics

Explored Big data’s application on patients outcome and satisfaction

Use of Big Data in Clinical Research or Clinical Trials.

Use of Big Data in Accumulation of Financial Data,

Use of Big Data in (Physicians) KPI’s,

Use of Big Data in Preventing Medication Errors,

Use of Big Data in Identifying High-Risk Patients,

Use of Big Data in patient Engagement in their own Care.

Use of Big Data in Practice Management, Operational. Finance

Cases:

Some use cases of Hospitals from Riyadh, Saudi Arabia, Kuwait, California and Texas.

The Full presentation of this session is attached in APPENDIX C

Practical

Examples

and Good

Practices

from health

care

Industry

Speaker : Dr. Leid Zejnilović, Assistant Professor – Nova School of Business and Economics, Director – Data

Science for Social Good Europe, Portugal

Findings:

He presented a case on Data science for Social Good, Informing School-Medicine Service for efficient

MMR Vaccination Promotion, automated matchmaking mechanism,

Presented a case on data generation through building relationship between patients and doctors: patients

data of different kinds by which we can identify the suitable doctor for them and the logic behind this

case is the algorithm

According to data, Patients innovation for themselves are evident, just need to track their innovations

through the data hub

Cases:

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The Full presentation of this session is attached in APPENDIX D

Q&A Session- Session 1

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Ques1: What should be the size of Big Data?

-big data of different types have their own definition. Volume, variety

and velocity all combined will define big data

- to evaluate how trustworthy the sources are, search for good quality

sources

Ques 2: What are the sources of Big Data?

-Most of the data comes from non govt sources, example of telenore or

using CDR data.

Ques 3: We have available data in every institution on health.

But how to use the data? What is the problem?

-First have to define -What you are looking for!

- Skills are required for making the usage of algorithm easy and

possible. We need to go beyond supply side data, need to focus on

demand side

Ques 4: How to implement the Collaboration of Pharmaceutical

Companies and academia?

-Need more eco system approach and govt. approach to bring academia

and engaging private sectors under one umbrella

-Pharmaceutical companies have no specific benefits though, govt.

needs to extract things from them by dialogues and similar kind of

events with academia.

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Day One- 2nd Session –11 February 2019

Sources of

Big Data in

Bangladesh

Description of existing and emerging sources of Big Data in Bangladesh

An overview of

Big Data

sources In

Bangladesh

Speaker: Md. Humayun Kabir, Senior Strategic and Technical Advisor, Measure Evaluation.

Findings :

He Identified that different kinds of data is being generated from their electronic devices in different

clinics and health care points.

He indicated different data sources from health facility, community level health workers, RHIS,

private sectors including Telcos and hospital, app, Facebook data, helpline data, sensors, open data,

text and others sources which are currently generating structured, unstructured and semi-structured

data.

The Full presentation of this session is attached in APPENDIX E

Sources of

Universal

Health

Coverage

(UHC) and

other SDG

indicators-

Independent

Reference

Group

Speaker : Dr. Hossain Zillur Rahman, Executive Chairman; Power and Participation Research Centre,

Bangladesh.

Findings :

Data gap is a reality established in the govt. sector and also data analysis

Other two issues are- Indicator gap, need to develop additional indicators also

Policy Solutions, to drive in full swing we need it

Developing the demand part of data should be the priority

Big data opportunity is here in Bangladesh: early screening is needed

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The Full presentation of this session is attached in APPENDIX F

Sources of

Economic,

Social,

Demographics

data

Speaker : Md. Alamgir Hossen, Deputy Director, SDG cell, Bangladesh Bureau of Statistics

Findings :

BBS need to focus on health data for official Statistical purpose

Current data sources in BBS: Administrative data ,SURVEY DATA, Demographic data,Socio

Economic Data

Lot of data BBS produce every year but currently unutilized.

How disaggregated data we can produce: innovative ways are needed, should be mandatory for all

the offices

Data BBS have now: there exist gap between censuses or surveys, but we need to use this data in a

triangularine way, Policy makers can identify the gap from these. SDG issues are being incorporated

here, too.

One challenge that needs to be addressed is use these vast sources of data combinedly.

The Full presentation of this session is attached in APPENDIX G

An overview of

current data

sources and

data scope in

Health in

Bangladesh

Speaker : Sukhendu Shekhor Roy, System Analysts, MIS, Directorate General of Health Services, Ministry

of Health and Family Welfare

Findings :

He identified the main data source of DGHS

DGHS is currently maintaining biometric remote attendance system

In the online system there have 16263 Doctors’ advice

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The system also contains Emergency accident info, Ambulance info, Complain and suggestion

The Full presentation of this session is attached in APPENDIX H

Sources of

Individual

behavior data

Speaker : Mr. Hossain Sadat, Director-Regulatory Affairs, Grameen Phone, Bangladesh.

Findings :

Currently GP has 4.5 billion active internet users which is a sources of individual behavioral data

Telecom companies are producing CDR, mobile data and Early signals can be found from this data

Tonic- digital health service providing platform

Lots of data have been produced but we have no policy on sharing those data

Need to partner with foreign agencies

Data protection measures is needed

There is no data privacy legislation

The Full presentation of this session is attached in APPENDIX I

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Sources of Big

Data from

International

perspective (a

comparative

description of

national and

international

data sources

and

identification of

new/emerging

sources of data)

Speaker: Dr. Moinul Zaber, Department of computer Science and Engineering, University of Dhaka,

Bangladesh.

Findings :

He identified the Mobile network data as tool for predictive modelling , Using satellite data to

develop environmental indicators, Healthcare support system for the elderly, Disaster management

and Climate Change adaptation procedures ,

He identified the architecture of Healthcare Monitoring System

Bangladesh has infrastructural problem

He identified the Importance of academia in big data initiative

Satellite data is free for use for environment

We need to know how to mine Bangla language data

Improve situational analysis is needed to be conducted

The Full presentation of this session is attached in APPENDIX J

Day One- 3rd Session –11 February 2019

Big Data

Applications

in Health

Presentation on Big Data Applications in Health from Global perspectives

Big Data

application in

Mental Health

Speaker : Dr. Rabiul Hasan, Associate Lecturer and Course Coordinator, School of Computer Science,

Research Affiliate, Menzies Centre for Health Policy, The University of Sydney

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Findings :

Big data is seen as a source of intelligence for Electronic Health Records. However, in Australia, there have been greater concern and challenges around the use and management of big data in specific domains of health such as mental healthcare.

The availability of large amounts of historical data, real-time streaming of information from many

sources, the Internet of Things and advanced analytics will transform how policy and regulation is

formulated, how health programs are administered, how responses are planned and executed.

The Full presentation of this session is attached in APPENDIX K

Big data

Application

for precision

medicine

Speaker : Dr. Chuanhua Xing , Big Data specialist , Washington D.C. Metro Area, Chinese

Biopharmaceutical Association

Findings :

World leading core machine learning methods utilized data from omics, clinical studies, images, and

drug development simulated complex interaction network among disease-causing factors, and

interpreted the joint effect of multiple factors to diseases.

EMRs collect huge amounts of data, but most of the data is for recreational purposes (Brent James

of Intermountain Healthcare). Health Catalyst shows that only a small fraction of an EMR database

(perhaps 400 to 600 tables out of 1000s) are relevant to the practice of medicine.

Data variety exist, but most are similar with an occasional tweak.

Analysis of genomics will definitely require a big data approach.

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The Full presentation of this session is attached in APPENDIX L

Applications

of Biomedical

data for

Healthcare

problems

(Bangladesh

Case)

Speaker : Dr. Mohammed Imamul Hassan Bhuiyan, Professor and Head, Biomedical Engineering, BUET,

Bangladesh

Findings :

He ponted out the examples of Biomedical Data : Physiological Signals: Electrocardiogram (ECG),

Electroencephalogram (EEG), Seech signals, Electromyogram (EMG), Electrooculogram (EOG),

Photoplethysmograms (PPG), Medical imaging: Magnetic resonance imaging (MRI), Ultrasound,

Computed tomography (CT), Positron emission tomography (PET), Fluorescence microscopy,

Functional MRI etc.

Automated analysis is essential with ever-increasing volume, variety and velocity of data.

The Full presentation of this session is attached in APPENDIX M

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Applications

of complex

data sources to

identify

inequities,

using Equist

tool to inform

policies

Speaker : Ms. Maya Vandenent, Chief Health section, UNICEF Bangladesh office

Findings :

She emphasized on “High Risk” communities including : Urban poor, Rural remote, Migrants and

Nomads, Ethnic minorities, Religious groups

EQUIST :A powerful web-based analytical platform for developing equitable strategies to improve

health and nutrition for the most vulnerable children and women

The Full presentation of this session is attached in APPENDIX N

An overview

of Big data

Applications

in health

Speaker : Dr. Ashir Ahmed, Associate Professor, Department of Advanced Information Technology,

Kyushu University, Japan

Findings :

He showed the case on Wellness Meter: For an individual, for a group, for a geographical location

He described the Concept of Triage based on Big Data: How to reduce morbidity.

Doctors’ Handwriting: Suggested a Smart pen for doctors

Elaborated the Use Artificial Intelligence to predict part of the prescription

The Full presentation of this session is attached in APPENDIX O

Q&A Session on Session 3

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Ques 1 : How can we utilize data for increasing Big Data

application in Bangladesh? - -We have the sources but we need to

share, we need data sharing policies. Connectivity or networking is

needed for the integration, this a challenge, need policy to spread

among public and private sectors. Networking is a tough thing but it

tells what policies to take, to reformulate etc. Policy sources need to

be interconnected.

-Even if we have some policies they are not well described in mid or

junior level, but it is necessary for the national development. We

need to develop Data scientists

Ques 2: How can we ensure “Leave No One Behind” through Big

Data?

-Need to develop a framework of using Big Data to track Leave No One

Behind- it will be most potent when managing data for the most

deprived. If we have to generate and mine accurate data, it requires from

the policy makers to develop a framework

Day Two – Tuesday, 12 February 2019

Session-1

An

overview

of Big

Data

challenges

and

Policies

An overview of Big Data challenges and Policies

An

overview of

Big Data

challenges

and Policies

(Key Note)

Speaker : Dr. Yukun Bao , SMIEEE, Professor, Deputy director, Centre for Modern Information Management,

School of Management, Huazhong University of Science and Technology, China

Findings :

He presented the Practice, Policies and Challenges of big data in health sector in China

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Big data and AI technologies in health care applications include decision support, health/chronic, disease

management, intelligent medical institution management, genetic data analysis among, others.

It is expected that in 2019, the image-assisted diagnosis will first be applied with an amazing 90%m

accuracy.

Intelligent management of medical institutions will be carried out under the development of regional

information platforms in developed provinces and cities.

New drug research and development applying artificial intelligence are very promising in the near future.

Given artificial intelligence empowered applications to be widely implemented by 2022, the market share

will reach 5.586 billion Yuan.

There are three prerequisites for the rapid development of big data applications in health care: 1) Policy

support from Central Government; 2) Market recognition by customers; 3) Continuous investment from

capital market.

The Full presentation of this session is attached in APPENDIX P

An

overview of

Big Data

challenges

in Health-

Bangladesh

Perspective'

Speaker : Muhammad Abdul Hannan Khan, Team Leader, Support to the National HMIS. MIS, Directorate

General of Health Services, Ministry of Health and Family Welfare

Findings :

He presented An overview of Big Data challenges in Health from Bangladesh Perspective

All service data are collected though DHIS2 system which currently have: 2 instances, 332 GB Data , 2.7

m mother, 5.4m child, 84k Cervical & Brest, Cancer Screening(2017-18), 29k Facility Death., 133 million

aggregated data record, 150 million patient encounter (Program based EHR), 10,000 Data Element and

Indicator, 35,860 User, 28,301 Geolocation and Facility, Data are entered from Nation to Community level,

facilities and CHW.

Besides routine Service data MoHFW also collecting, (and expanding) following data: Citizen Health

record (SHR) from Hospital EMR, Health Workforce Database, Health Call center (16263) data, SMS

based Citizen Grievance System, Biometric attendance system

DGHS, MoHFW and development partners are investing in ‘use of information’. Still have lots of

challenges: There is shortage of ICT and public health skilled manpower to lead and technology transfer ;

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Shortage of talent necessary for organizations to take advantage of Big Data in health domain ; Shortage of

knowledge in statistics, machine learning, and data mining; Besides National ICT policy and Health Policy

there is no legal frame work for data sharing, reporting and privacy ; Without legislation MoHFW cannot

make the private facilities to report regularly or share their EMR/HER ; Without standards and

interoperability framework data cannot be shared with MoHFW from the EMR systems used by hospitals

having EMR systems ; Similarly pharmacy and laboratory data need to be standardized for sharing and

utilize ; Using data from other ministries (though limited)

The Full presentation of this session is attached in APPENDIX Q

Challenges

and Risks

associated

with AI, big

data in data

privacy,

cross-

border data

flows

Bangladesh

Speaker : Paul Ulrich, Senior Policy Manager, GSMA, Hong Kong Office

Findings :

He presented a case on how Air Pollution’s Harm to Health in Brazil.

Presented a case on Tuberculosis (TB) in India

A case on Multi-Drug Resistant Malaria in Asia: Bangladesh, Myanmar and Thailand was presented.

Does data localization increase security? : No. Requiring local storage of personal data: Does not prevent

foreign intelligence agencies from accessing it; and weakens users’ protection by concentrating data within

a single jurisdiction, making it more susceptible to security breaches and natural disasters than if it were

dispersed across jurisdictions.

GSMA Digital Toolkit Approach : Identify opportunities and relevant case studies ; Share insights and

lessons learned ; Educate on sustainable, replicable approaches

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The Full presentation of this session is attached in APPENDIX R

Human

Resource

and

Financial

Challenges

Speaker : Rahul Sachdev, Head SAP Next-Gen India Subcontinent, A Purpose Driven Innovation University and

Community linked to the UN Global Goals, SAP India Pvt Ltd, India

Findings :

He presented some Examples in Developing Economies-India

Achievements included : Designed and implemented eVIN to enable real time information on cold chain

temperatures and vaccine stocks and flows in all the 371 districts of implementing states ; Digitized vaccine

inventories and record- keeping at nearly 10,500 vaccine stores and cold chain points across 12 states ;

Achieved a regular reporting rate of more than 98 percent from these vaccine storage points ; Logged over

2 million vaccine transactions online on the eVIN server every month; Capacity building of more than

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17,000 government staff including vaccine store keepers, data entry operators and cold chain handlers

through more than 550 batches of training programmes using the eVIN application

Challenges included :

The Full presentation of this session is attached in APPENDIX S

Q&A Session-Session 1

Ques 1 : How the health data demand of people are presented in rural

areas? How IT helps in this regard?

-The rural area departments are responsible for this , and should have some

portable devices

Ques 2: How centrally we can monitor the medical data?

- Regular monitoring, dashboard and active data people are needed

Ques 3 : What are the practical experiences of collaboration?

- Collaboration of academicians with govt. to make students skilled on basic

health education

Ques 4 : Do govt. have any integrate patient record system?

- Has already IMI integration. Any org. can take the advantage.

Session-2

Policies to

Support

Big Data

Solutions

Policies to Support Big Data Solutions

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Data

Standardization/

cataloguing

Policy

Speaker : Dr. Mihoko Okada, President, Healthcare Data Informatics, Japan

Findings :

Possible sources of Real World Data (RWD): EHRs, discharge summaries, claims data, patient

registries, etc. : A patient registry: an organized system that uses observational study methods to

collect uniform data to evaluate specified outcomes for a population defined by a particular disease,

condition, or exposure, and that serves a predetermined scientific, clinical, or policy purpose(s)

Other possible sources: EMRs or EHRs as well as health care administrative data sources,

However, it should be noted that there are no universally accepted standards currently in use for

formatting data from these different real-world sources, and this is probably the single biggest

impediment to large-scale use of existing health care records in clinical trials

The adoption of standardized electronic formats for administrative data and EMRs will greatly

improve the ability of researchers to use these data to address health care and policy questions

The Full presentation of this session is attached in APPENDIX T

Open

Government

Data Policy

Speaker : Heon-Jun Kim, Senior Programme Management Expert, UNPOG, Republic of Korea

Findings :

He presented Governance framework for Open Government data as follows :

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ODSC (deliberating body under the prime minister and co-chaired by private representatives) :

Deliberate, coordinate, monitor and evaluate government’s major open gov’t data policies, plans

and their implementation - Include each ministers and more than half of private representatives

MOIS (lead ministry) : Open gov’t data master planning & evaluate implementation, create a data

infrastructure, release datasets, etc.

NIA (policy and technical supports) : Operate an open data center, support the release and re-use

of open gov’t data

ODMC (mediation of disputes): Mediates disputes for release open govt. data refused or suspected

by institutions.

The Full presentation of this session is attached in APPENDIX U

Data

Privacy/Security

and Protection

Policy

Speaker : Rajendra Pratap Gupta, Former Advisor to the Union Minister for Health and Family Welfare,

Govt. of India

Findings :

Criminal, Hacktivism, Espionage, and War (CHEW) have increased due to the ease of

sophisticated tool acquisition by hacking groups

For data protection & security we have to adopt AI and Machine Learning defense systems : Hybrid

approach : on premise and cloud Scrubbing centres be set up as a part of the overall risk mitigation strategy

In 2018, California passed the landmark California Consumer Privacy Act (CCPA) that goes into

effect in 2020, granting California residents new privacy rights. 25th May 2018 , The General Data Protection Regulation came into force

According to a private research institute, the average cost to health care organizations per record

breached is $355, compared to $158 per lost or stolen record in other industries. In 2017, the

average cost of a data breach was US$ 3.62 million Studies estimate that the average cost of a data breach will be over $150 million by 2020, with the global annual cost forecast to be $2.1 trillion

The Full presentation of this session is attached in APPENDIX V

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Partnership and

financing Policy

Speaker : Paul Titley, Big Data Specialist, Alphasoft Analytics, UK.

Findings :

Good partnership practices : Shared Goals , Clear and defined objectives based on goals, Defined

Management Structure, Defined Roles and responsibilities, Realistic expectations, Recognizing

each partner needs to benefit, Performance review of the partnership and goals and objectives

Major costs of Big Data initiative are: Labor and Software Costs.

Without true partnering there is duplication of effort and costs

partnerships with educational bodies can help solve the labor shortages and the high cost of

external labor

Software costs can be mitigated by smart choice of vendors and their involvement with the

greater good

The Full presentation of this session is attached in APPENDIX W

Big Data For

Official

Statistics

Speaker : Ronald Jansen, Assistant Director, Chief of Data Innovation and Capacity Branch, United

Nation Statistics Division, USA

Findings:

He presented the fundamental principles of the official statistics and indicator framework for the

monitoring of progress of SDGs

He identified the sources of data for UN official statistics as : Business system-process mediated

data and Internet of Things-machine generated

Big Data can held meeting the data demand of 2030 agenda-monitoring policies-“Leave No One

Behind”

Big Data are identified as part of modernization of statistical system

The Full presentation of this session is attached in APPENDIX W

The Use of

Mobile Phone

“Big Data’’ in

Public Health

Speaker : Dr. Caroline Buckee, Associate Professor of Epideminology, Associate Director of the center

for Communicable Disease Dynamics , Harvard TH Chan School of Public Health.

Findings:

She presented the Spatiotemporal dynamics of the 2017 Chikungunyya Outbreak in Dhaka City

She presented the changing landscape of Dhaka city, travel pattern in Bangladesh, Importation

from Dhaka, Process of Identification of risk areas

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The Full presentation of this session is attached in APPENDIX X

Session 3- Panel Discussion

Outcome from the Panel Discussion

Building block and legal tools for Big Data analysis are absent in

Bangladesh

Identification of Sources of data and Privacy and Security

policies ; absent of Required Partnership

ing the data is necessary. Building a

system is recommended which will be electronic shared electronic health

record connecting with data change with the responsibility of govt. About

non-govt. data, they can contribute through data democratization through a

connected processing system.

Closing Ceremony

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Mr. Anir Chowdhury, Policy Advisor, a2i cited the key

achievements of the two-day conference in his concluding

remark. He said, “Bangladesh has been interested in using Big

Data for the past few years and through this conference areas of

major data applications were identified in the context of

Bangladesh. We have found commitments from stakeholders

through their participation. Now we will be able to establish a

general platform to apply Big Data accumulated from different

sources. The culture of data in Bangladesh comes from a ‘culture

of reporting’, we need to change that mindset to ‘culture of

problem solving Policy should not straitjacket us, policy should

be enabling. Through this conference, with Ministry of Health

and Family Welfare and Bangladesh Bureau of Statistics, a road

map of Big Data for Health for the next 3 years will be

formulated” he added.

Project Director of a2i and Additional Secretary Md.

Mustafizur Rahman thanked the participants and mentioned the

conference as a great platform for debate, challenge, innovation

and agreement. This Conference had provided a timely

platform to exchange knowledge, experiences and expertise to

discuss ways of harnessing Big Data in health service delivery

for sustainable development. Dr. Krishna Gayen, Director

General, Bangladesh Bureau of Statistics (BBS); Dr. Bardan

Jung Rana, WHO Representative to Bangladesh; Richard

Delaney, Deputy Director, Vital Strategies, Bloomberg

Philanthropies were presented in the closing ceremony.

Thank You!

…………………………………………………………………………………

FOR HEALTH