Health Data Dictionaries and the Philippines experience using openHDD A JLN Information Technology Initiative Webinar 12 December 2013.

Health Data Dictionaries and the Philippines experience using openHDDA JLN Information Technology Initiative Webinar12 December 2013

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JLN Webinar: Health Data Dictionaries and the Philippines experience using openHDD

About the Joint Learning Network (JLN)

The Joint Learning Network for Universal Health Coverage is a unique practitioner-to-practitioner learning network.

JLN connects low- and middle-income countries with one another so that they can learn from one another’s successes and challenges with implementing Universal Health Coverage (UHC).

JLN’s nine member countries are: Ghana, India, Indonesia, Kenya, Malaysia, Mali, Nigeria, The Philippines, Vietnam.

More information is available at www.jointlearningnetwork.org

Today’s webinar is hosted by the JLN Information Technology Initiative facilitators PATH and PharmAccess and generously funded by the Rockefeller Foundation.

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Agenda for today’s webinar

1. Health Data Dictionaries – How to get started creating a health data dictionary using the openHDD tool

2. A country case study of the Philippines experience creating a health data dictionary

3. Questions and answers

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Introducing our speakers

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Michiel Berende, consultant with PharmAccess Foundation Mr. Berende has supported the development and maintenance of openHDD with PharmAccess. In addition, he is a facilitator of the Microinsurance Network Technology Working Group that focuses on standardisation, data collection, communication, management information systems and services to support insurance practitioners and trainers working with these organisations.

Art Alcantara MD, MBAH, Chief, Task Force on Informatics, Philippine Health Insurance Corporation (PhilHealth) Dr. Alcantara helped establish PhilHealth’s health data dictionary. In addition, he has been responsible for the implementation of business intelligence and analytic solutions at PhilHealth as well as the management of data collection, extraction, mining, analysis, reporting and dashboard system development.

Different definitions of the word “cold.” •An accident victim brought into the emergency room tells the attending physician, “I feel cold.”

•A pulmonologist tells a 58-year-old male patient that he is suffering from COLD—chronic obstructive lung disease.

•You call your family practitioner for an appointment and tell the receptionist, “I have a bad cold that’s not getting better.”

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Introducing our topic: Health Data Dictionaries

Health Data DictionariesWhat is it?•A data dictionary, or metadata repository, as defined in the IBM Dictionary of Computing, is a "centralized repository of information about data such as meaning, relationships to other data, origin, usage, and format.•A health data dictionary incorporates and links terms from multiple clinical or health information systems to document standard terminologies. It maps disparate medical terms to give data context and meaning.•openHDD is an open source tool developed by PharmAccess for the JLN Information Technology Initiative with funding from the Rockefeller Foundation. The tool provides the means to document terms and to use/share other country data dictionary information as a starting point.

Why have one?•A health data dictionary is used to standardize health data to make it more interoperable and computable.

How to create one?

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openHDD – Flowchart Getting Started

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1. Form aworking group

1.1 AvailableMaterial?

2. Define yourpriorities

1.2 Study examplematerial

2.1 Draft a subdivision indictionaries and sections

3. Start your firstdictionary in

openHDD

Form a working group withrepresentatives of those who are

actively involved in collection of dataand management of information for(national) health care and insurance.

Working Group members typicallyconsists out representatives from: (see

annex)

What aspects in healthcare definitionsrequire your priority? Is it claims handling,

premium collection? Cancer? Forensic,Nuclear Medicine? What health care related

issues does your country face at thismoment and what should be solved

first.(annex)

3. Start your firstdictionary in

openHDD

3.1 Describe data elements,attributes, terms and

definitions

3.3 Define whatadditional metadata is required

3.2 Review anddiscuss definitions

add or modify details

4. Start workingon the next

section

Dictionary items are described in termsof their attributes. For each type of itemthat you want to distinguish, attributescan be configured as needed. You canindicate which attributes you want to

use, in which order (see annex)

Start again at step 2.

Philippines

• 7,107 islands• Population: 98 Million people• Land Area: 300,00 km2

• Healthcare Providers: 1,736 hospitals

PhilHealth• A tax-exempt Government Corporation

attached to the Department of Health for policy coordination and guidance

• Primary function is to administer the National Health Insurance Program

PhilHealth Data Dictionary

Corporate Dictionary• Collection of terms used by PhilHealth to define certain

programs, activities, processes or any terminology imperative to its functions and purpose

E-claims Data Dictionary• Contains terms including its definitions and metadata used

in PhilHealth Electronic claims

PhilHealth Data Dictionary

Developmental Stages:1. Conceptual Design2. Consolidation and Validation3. Deployment

Conceptual Design

Conducted Consultative Meetings with: Department of Health Policy Makers Academe Consultants Experts

Conceptual Design

Standards METeOR (Metadata Online Registry)

NHDD developed by the Australian Institute of Health and Welfare

Shafafiya Data DictionaryHDD developed by the Health Authority Abu Dhabi

Conceptual Design

Sample design template used based on standards and consensus:

Consolidation and Validation

Collaboration between : End-users Business Process Owners Management IT

•Agreements made in definition and metadata

Deployment

Superluminatefully functional, web based, thin client, open source data dictionary application

Deployment

openHDDOpen source data dictionary applicationCustomizableReal-time online supportUser friendly

Factors of Success

Political Management support

Organizational Close collaboration amongst the

stakeholders Enthusiasm

Technical Standards already being used in other

countries Technical support Financial

Technical assistance funded by donor agencies

Challenges

Implementation1. Difficulty getting the people to agree in some critical definitions 2. Lack of commitment from some offices and agencies 3. Constant updating of the data dictionary due to changing policies and leadership

Sustainability1. Depends on the support given by the technical provider

Future Directions

Official recognition of the data dictionary for e-claims implementation

Integration with the Department of Health’s Health Data Dictionary

Increase adoption of international standard/s Publication

Thank You

For more information:

More information is available at www.jointlearningnetwork.org

JLN Paper: “Promoting Interoperability of Health Insurance Information Systems Through a Health Data Dictionary” http://www.jointlearningnetwork.org/sites/jlnstage.affinitybridge.com/files/HealthDataDictionarySeries.pdf

JLN launch page for openHDD: http://jointlearningnetwork.org/content/openhdd

openHDD overview video: http://www.youtube.com/watch?v=22WDAcD0Es4&feature=player_embedded

Contact: Caren Althauser [email protected]

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