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Preparing Hospitals
for the Digital Requirements
of the UHC Law
Alvin B. Marcelo, MD
Disclosures
Clinical Professor of Surgery and Health Informatics, UP Manila
Chief Medical Information Officer, St. Luke’s Medical Center
Executive director, Asia eHealth Information Network
Director, Philippine Society for Digital Health
Former Chief Information Officer (CIO), Philippine Health Insurance Corporation
*No financial interests in any of the technologies mentioned
Objective
Increase awareness on recent laws and regulations
Enumerate steps hospitals can take to prepare for implementation
Outline
The UHC Law and the NICCA
An Enterprise Approach to Digital Transformation in Hospitals
Recommended Next Steps
What is “health data”?
Source: Regional digital health action plan for the WHO European Region 2023-2030
Health
Systems are
Complex
Many stakeholders
Many transactions between
stakeholders
Different rules and
contractual arrangements
Where are we now?
Laws related to health data (prior to 2019)
● Medical Act of 1959
● e-Commerce Act of 2000
● Data Privacy Act of 2012
Philhealth eClaims (2012)
RA 10606 (2013)
“Telemedicine” is first mentioned in the revised Philhealth law
Mandatory Adoption of Health Data Standards (2013)
Source
National
Integrated Cancer
Control Act of
2019
Source
Source
document
Mandatory Adoption and Use
of National Health Data
Standards (2021 update)
JAO 2021-0002 (April 21, 2021)
MC 2021-0020 (April 23, 2021)
bit.ly/mandatoryadoption
What are the risks?
Information
Management
mitigates risk.
Information
Management
creates risk.
Top 15 Risks
for Hospitals
https://www.rcmd.com/resources/blog/top-15-risk-concerns-hospitals-and-health-systems
Where do we want to go?
Mind the GAPS,
Fill the GAPS
Governance
Architecture
People and Programme Management
Standards and Interoperability
WHO-ITU 7 Components of National eHealth
Strategy (2012)
Source: WHO-ITU National eHealth Strategy Toolkit
Source: WHO-ITU National eHealth Strategy Toolkit
WHO-ITU Component: Leadership and
Governance
Source:
https://www.slideshare.net/isiptan/government-or-private-sector-the-future-of-asias-healthcare-infrastructure
Governance: Philippines
Philippine National eHealth Framework
Source: wiki.ohie.org
Source: ehealth.doh.gov.ph
Philippine eHealth Blueprint (2014)
HEALTH DATA
GOVERNANCE
PRINCIPLES
Universalising the benefits of health digitalisation
Protect people | Promote health value | Prioritise equity
INTRODUCTION &
OVERVIEW
The Health Data Governance Principles:
● Bring a human rights and equity lens to the use of data
within and across health systems.
● Are oriented towards supporting sustainable and
resilient public health systems that can deliver
Universal Health Coverage (UHC).
● Aim to strengthen national and regional health data
governance approaches, maximising the public value
of health data whilst protecting individual rights.
● Align policymakers and other stakeholders around a
shared vision of equitable health data governance,
where all people and communities can share, use and
benefit from health data.
● Recognise and build on existing norms, principles,
treaties, conventions and guidelines, while further
strengthening the health data governance
ecosystem.
● Are a critical step towards a global framework for
health data governance.
● Driven and developed by civil society through an
inclusive and consultative, bottom-up process.
● The process was designed to gather perspectives
and expertise, and ensure meaningful engagement,
of diverse stakeholders from across geographies and
sectors.
○ Over 200 contributors from over 130 organisations.
○ Eight global and regional workshops covering
Sub-Saharan Africa; the Middle East and North
Africa; South, East, and Central Asia; Latin America
and the Caribbean; and Europe, North America, and
the Pacific.
○ One-month public consultation on a draft set of
Principles.
● Transform Health stewarded this process, under the
leadership of its Policy Circle.
DEVELOPMENT OF
THE PRINCIPLES
The Principles are clustered around three
interconnected objectives:
1. Protect people – as individuals, as groups, and as
communities
2. Prioritise equity – by ensuring equitable
distribution of benefits that arise from the use
of data in health systems
3. Promote health value – through data sharing and
innovative uses of data
The Principles are:
● Designed to complement and reinforce one another.
● Not weighted or listed in any order of priority.
● Supported by core elements that describe how it
can be put into practice.
OBJECTIVES &
STRUCTURE
THE PRINCIPLES
PROTECT PEOPLE
Core Elements
• Address individual and collective risk
• Collect data with a defined purposes
• Collect personal or sensitive data only when
necessary and with informed consent
• Use secure data collection and storage
mechanisms
• Use de-identification and anonymization
• Define inappropriate uses of health data
• Institute safeguards against discrimination,
stigma, harassment and bias
• Provide guidance specific to marginalised
groups and populations
Health data governance must protect
individuals, groups and communities against
harm and violations at every stage of the data
lifecycle. It should balance protection and rights
with the societal value of data use for health.
PROTECT INDIVIDUALS
AND COMMUNITIES
PROTECT PEOPLE
Core Elements
● Align with best practises for data protection and
privacy
● Ensure consent is informed and understood in all
its complexities
● Obtain collective consent where appropriate
● Define concrete exceptions to informed consent
● Ensure data quality, availability, and accessibility
● Reinforce health data governance with evidence
● Establish transparent and accessible processes
Health data governance should reinforce trust in
data systems and practises. Developing health
data governance systems in a participatory and
transparent manner, and ensuring regulations and
guidelines are accessible, understood, and
followed in practice, can help build trust.
BUILD TRUST IN
DATA SYSTEMS
PROTECT PEOPLE
Core Elements
● Require strong technical security measures for
data processing
● Mitigate risks related to security threats
● Ensure transparency around data breaches
● Consider federated data systems
Data security is an essential component of
health data governance, for the protection of
individuals and communities. Processes for
collecting, processing, storing, using, sharing
and disposing data should all employ robust
security mechanisms.
ENSURE DATA
SECURITY
PROTECT PEOPLE
PROMOTE HEALTH VALUE
Core Elements
● Evaluate the benefits of health data
● Use data to enhance health services for
individuals and communities
● Encourage a culture of data-led insights and
action
● Address health system efficiency,
effectiveness, and resilience
● Strengthen community ownership of health
data
Health data governance should enhance health
system efficiency and resilience, improve health
access, and advance health equity towards UHC.
A whole health system approach must be applied,
ensuring health data governance supports the
systemic transformation of health systems.
ENHANCE HEALTH
SYSTEMS AND
SERVICES
PROMOTE HEALTH VALUE
Core Elements
● Establish data sharing rules and guidelines
● Validate informed consent before sharing data
● Promote interoperability of data systems
● Define common data structures across health
systems
● Define multiple levels of data access
● Use common definitions and global standards
● Support multi-sector partnerships
Data collection and sharing is a prerequisite
for creating value from health data but must
be done in ways that support equity and
human rights. Data sharing allows for deeper
and more significant insights related to health
needs and challenges.
PROMOTE DATA
SHARING AND
INTEROPERABILITY
PROMOTE HEALTH VALUE
Core Elements
● Apply health data governance to emerging
technologies
● Address the use of non-health data in health
contexts
● Build public health data infrastructure
● Employ policy innovation
Health data governance should enhance health
system efficiency and resilience, improve health
access, and advance health equity towards UHC.
A whole health system approach must be applied,
ensuring health data governance supports the
systemic transformation of health systems.
FACILITATE INNOVATION
USING HEALTH DATA
PROMOTE HEALTH VALUE
PRIORITISE EQUITY
Core Elements
● Represent all groups and populations
equitably in data
● Consider the unique needs of marginalised
groups and populations
● Mitigate data bias
● Use accessible language and plug knowledge
gaps
● Implement inclusive data feedback
mechanisms
Health data governance must ensure
equitable representation in data of all
individuals, groups and communities;
meaningful participation of all groups in
decision-making; and equitable access to
data-generated health value.
PROMOTE EQUITABLE
BENEFITS FROM
HEALTH DATA
PRIORITISE EQUITY
Core Elements
● Apply a human rights lens to health data
governance
● Define clear governance roles and
responsibilities
● Codify data rights and ownership
● Extend data rights and ownership to products
and services
● Develop health data trusts and health data
cooperatives
● Employ participatory data governance
Health data governance should be rooted in strong
and clear data-related rights. Data-related norms,
principles, policies, and laws should be drawn from
such overarching rights. This includes
consideration of all human rights.
ESTABLISH DATA
RIGHTS & OWNERSHIP
PRIORITISE EQUITY
Adopting the
Principles and a
global framework
DRIVING ACTION ON
THIS AGENDA
Governments, regional bodies and organisations are urged to take
action to strengthen the governance of health data by:
● Endorsing the Health Data Governance Principles.
● Supporting the development, and subsequent adoption, of a
global health data governance framework, underpinned
by the Principles (e.g. through a World Health Assembly
resolution).
● Prioritising health data governance as part of global,
regional and national agendas.
● All stakeholders, including civil society and communities,
should champion this agenda, advocating for action and
holding governments and other stakeholders
accountable.
● Communities, particularly the most marginalised, must be
meaningfully engaged in discussions and decision making.
healthdataprinciples.org
How do we get there?
(for hospitals)
Mind the GAPS,
Fill the GAPS
Governance
Architecture
People and Programme Management
Standards and Interoperability
Governance: Designate a chief
information officer (CIO)
Responsibilities:
1. Align IT strategy under the larger hospital strategy
2. Ensure IT delivers the benefits expected
3. Optimize IT risks
4. Optimize IT resources
Architecture: establish the practice
Scope:
1. Document the current state architecture
2. Adopt industry-accepted target state architecture
3. Prepare the sequence plan (from current to target)
Current Target
Y1 Y2 Y3 Y4 Y5
People: Project/Program
Management
Scope:
1. Hire certified project managers (PMP, PRINCE2, Agile)
2. Train staff on project management
3. Adopt project management frameworks internally and from
vendors/suppliers
4. Embed and promote culture of information security
Standards and Interoperability
Scope:
1. Adopt standards
2. Ensure compliance to the standards
3. Control all exceptions to the standards
www.psdh.net
As healthcare institutions
Protect our patients
Establish good governance over information
Create a culture of information security among the staff
Work with qualified partners
admarcelo@up.edu.ph
admarcelo@stlukes.com.ph
@amarcelo

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PHA - Nov 17 Preparing Hospitals for the Digital Requirements of the UHC Law.pdf

  • 1. Preparing Hospitals for the Digital Requirements of the UHC Law Alvin B. Marcelo, MD
  • 2. Disclosures Clinical Professor of Surgery and Health Informatics, UP Manila Chief Medical Information Officer, St. Luke’s Medical Center Executive director, Asia eHealth Information Network Director, Philippine Society for Digital Health Former Chief Information Officer (CIO), Philippine Health Insurance Corporation *No financial interests in any of the technologies mentioned
  • 3. Objective Increase awareness on recent laws and regulations Enumerate steps hospitals can take to prepare for implementation
  • 4. Outline The UHC Law and the NICCA An Enterprise Approach to Digital Transformation in Hospitals Recommended Next Steps
  • 5. What is “health data”? Source: Regional digital health action plan for the WHO European Region 2023-2030
  • 6. Health Systems are Complex Many stakeholders Many transactions between stakeholders Different rules and contractual arrangements
  • 7. Where are we now? Laws related to health data (prior to 2019) ● Medical Act of 1959 ● e-Commerce Act of 2000 ● Data Privacy Act of 2012
  • 9. RA 10606 (2013) “Telemedicine” is first mentioned in the revised Philhealth law
  • 10.
  • 11.
  • 12. Mandatory Adoption of Health Data Standards (2013)
  • 13.
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  • 20. Mandatory Adoption and Use of National Health Data Standards (2021 update) JAO 2021-0002 (April 21, 2021) MC 2021-0020 (April 23, 2021) bit.ly/mandatoryadoption
  • 21.
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  • 24.
  • 25. What are the risks?
  • 26. Information Management mitigates risk. Information Management creates risk. Top 15 Risks for Hospitals https://www.rcmd.com/resources/blog/top-15-risk-concerns-hospitals-and-health-systems
  • 27. Where do we want to go?
  • 28.
  • 29. Mind the GAPS, Fill the GAPS Governance Architecture People and Programme Management Standards and Interoperability
  • 30. WHO-ITU 7 Components of National eHealth Strategy (2012) Source: WHO-ITU National eHealth Strategy Toolkit
  • 31. Source: WHO-ITU National eHealth Strategy Toolkit WHO-ITU Component: Leadership and Governance
  • 35. HEALTH DATA GOVERNANCE PRINCIPLES Universalising the benefits of health digitalisation Protect people | Promote health value | Prioritise equity
  • 36. INTRODUCTION & OVERVIEW The Health Data Governance Principles: ● Bring a human rights and equity lens to the use of data within and across health systems. ● Are oriented towards supporting sustainable and resilient public health systems that can deliver Universal Health Coverage (UHC). ● Aim to strengthen national and regional health data governance approaches, maximising the public value of health data whilst protecting individual rights. ● Align policymakers and other stakeholders around a shared vision of equitable health data governance, where all people and communities can share, use and benefit from health data. ● Recognise and build on existing norms, principles, treaties, conventions and guidelines, while further strengthening the health data governance ecosystem. ● Are a critical step towards a global framework for health data governance.
  • 37. ● Driven and developed by civil society through an inclusive and consultative, bottom-up process. ● The process was designed to gather perspectives and expertise, and ensure meaningful engagement, of diverse stakeholders from across geographies and sectors. ○ Over 200 contributors from over 130 organisations. ○ Eight global and regional workshops covering Sub-Saharan Africa; the Middle East and North Africa; South, East, and Central Asia; Latin America and the Caribbean; and Europe, North America, and the Pacific. ○ One-month public consultation on a draft set of Principles. ● Transform Health stewarded this process, under the leadership of its Policy Circle. DEVELOPMENT OF THE PRINCIPLES
  • 38. The Principles are clustered around three interconnected objectives: 1. Protect people – as individuals, as groups, and as communities 2. Prioritise equity – by ensuring equitable distribution of benefits that arise from the use of data in health systems 3. Promote health value – through data sharing and innovative uses of data The Principles are: ● Designed to complement and reinforce one another. ● Not weighted or listed in any order of priority. ● Supported by core elements that describe how it can be put into practice. OBJECTIVES & STRUCTURE
  • 41. Core Elements • Address individual and collective risk • Collect data with a defined purposes • Collect personal or sensitive data only when necessary and with informed consent • Use secure data collection and storage mechanisms • Use de-identification and anonymization • Define inappropriate uses of health data • Institute safeguards against discrimination, stigma, harassment and bias • Provide guidance specific to marginalised groups and populations Health data governance must protect individuals, groups and communities against harm and violations at every stage of the data lifecycle. It should balance protection and rights with the societal value of data use for health. PROTECT INDIVIDUALS AND COMMUNITIES PROTECT PEOPLE
  • 42. Core Elements ● Align with best practises for data protection and privacy ● Ensure consent is informed and understood in all its complexities ● Obtain collective consent where appropriate ● Define concrete exceptions to informed consent ● Ensure data quality, availability, and accessibility ● Reinforce health data governance with evidence ● Establish transparent and accessible processes Health data governance should reinforce trust in data systems and practises. Developing health data governance systems in a participatory and transparent manner, and ensuring regulations and guidelines are accessible, understood, and followed in practice, can help build trust. BUILD TRUST IN DATA SYSTEMS PROTECT PEOPLE
  • 43. Core Elements ● Require strong technical security measures for data processing ● Mitigate risks related to security threats ● Ensure transparency around data breaches ● Consider federated data systems Data security is an essential component of health data governance, for the protection of individuals and communities. Processes for collecting, processing, storing, using, sharing and disposing data should all employ robust security mechanisms. ENSURE DATA SECURITY PROTECT PEOPLE
  • 45. Core Elements ● Evaluate the benefits of health data ● Use data to enhance health services for individuals and communities ● Encourage a culture of data-led insights and action ● Address health system efficiency, effectiveness, and resilience ● Strengthen community ownership of health data Health data governance should enhance health system efficiency and resilience, improve health access, and advance health equity towards UHC. A whole health system approach must be applied, ensuring health data governance supports the systemic transformation of health systems. ENHANCE HEALTH SYSTEMS AND SERVICES PROMOTE HEALTH VALUE
  • 46. Core Elements ● Establish data sharing rules and guidelines ● Validate informed consent before sharing data ● Promote interoperability of data systems ● Define common data structures across health systems ● Define multiple levels of data access ● Use common definitions and global standards ● Support multi-sector partnerships Data collection and sharing is a prerequisite for creating value from health data but must be done in ways that support equity and human rights. Data sharing allows for deeper and more significant insights related to health needs and challenges. PROMOTE DATA SHARING AND INTEROPERABILITY PROMOTE HEALTH VALUE
  • 47. Core Elements ● Apply health data governance to emerging technologies ● Address the use of non-health data in health contexts ● Build public health data infrastructure ● Employ policy innovation Health data governance should enhance health system efficiency and resilience, improve health access, and advance health equity towards UHC. A whole health system approach must be applied, ensuring health data governance supports the systemic transformation of health systems. FACILITATE INNOVATION USING HEALTH DATA PROMOTE HEALTH VALUE
  • 49. Core Elements ● Represent all groups and populations equitably in data ● Consider the unique needs of marginalised groups and populations ● Mitigate data bias ● Use accessible language and plug knowledge gaps ● Implement inclusive data feedback mechanisms Health data governance must ensure equitable representation in data of all individuals, groups and communities; meaningful participation of all groups in decision-making; and equitable access to data-generated health value. PROMOTE EQUITABLE BENEFITS FROM HEALTH DATA PRIORITISE EQUITY
  • 50. Core Elements ● Apply a human rights lens to health data governance ● Define clear governance roles and responsibilities ● Codify data rights and ownership ● Extend data rights and ownership to products and services ● Develop health data trusts and health data cooperatives ● Employ participatory data governance Health data governance should be rooted in strong and clear data-related rights. Data-related norms, principles, policies, and laws should be drawn from such overarching rights. This includes consideration of all human rights. ESTABLISH DATA RIGHTS & OWNERSHIP PRIORITISE EQUITY
  • 51. Adopting the Principles and a global framework
  • 52. DRIVING ACTION ON THIS AGENDA Governments, regional bodies and organisations are urged to take action to strengthen the governance of health data by: ● Endorsing the Health Data Governance Principles. ● Supporting the development, and subsequent adoption, of a global health data governance framework, underpinned by the Principles (e.g. through a World Health Assembly resolution). ● Prioritising health data governance as part of global, regional and national agendas. ● All stakeholders, including civil society and communities, should champion this agenda, advocating for action and holding governments and other stakeholders accountable. ● Communities, particularly the most marginalised, must be meaningfully engaged in discussions and decision making.
  • 54. How do we get there? (for hospitals)
  • 55. Mind the GAPS, Fill the GAPS Governance Architecture People and Programme Management Standards and Interoperability
  • 56. Governance: Designate a chief information officer (CIO) Responsibilities: 1. Align IT strategy under the larger hospital strategy 2. Ensure IT delivers the benefits expected 3. Optimize IT risks 4. Optimize IT resources
  • 57. Architecture: establish the practice Scope: 1. Document the current state architecture 2. Adopt industry-accepted target state architecture 3. Prepare the sequence plan (from current to target) Current Target Y1 Y2 Y3 Y4 Y5
  • 58. People: Project/Program Management Scope: 1. Hire certified project managers (PMP, PRINCE2, Agile) 2. Train staff on project management 3. Adopt project management frameworks internally and from vendors/suppliers 4. Embed and promote culture of information security
  • 59. Standards and Interoperability Scope: 1. Adopt standards 2. Ensure compliance to the standards 3. Control all exceptions to the standards
  • 61. As healthcare institutions Protect our patients Establish good governance over information Create a culture of information security among the staff Work with qualified partners