Using Data Analytics to Combat Fraud and Corruption in Public Procurement in Healthcare in Eastern Europe

This three-part series was launched in March 2021 to provide training and support to improve the skills of civic society activists in Bulgaria, Hungary, Romania and Slovakia. The Series provides them with methodology on analyzing big and small data to identify fraud and corruption in public procurement and service provision in the health care sector. All sessions were offered in English with simultaneous translation into Bulgarian, Hungarian, Romanian and Slovak.

Speakers in this series

– Mr. Michael Kramer (USA), former Special Attorney with the United States Department of Justice,  currently Consultant on anticorruption matters for the World Bank, eight of the ten largest corporations in the United States, and federal and state agencies in the United States.

– Mr. Septimius Parvu (Romania), Expert in good governance and public financing at the Expert Forum in Romania.

– Mr. Petar Stoykov (Bulgaria), international Consultant for several international organizations including the European Union, NATO Defense College and the World Bank.

– Mr. Mihály Fazekas (Hungary), Assistant Professor at the Central European University, School of Public Policy, with a focus on using Big Data methods to understand the quality of government globally.

– Mr. Sandor Lederer (Hungary), Co-founder and Director of non-profit public funds watchdog K-Monitor, based in Budapest.

– Mr. Martin Smatana (Slovakia), former Director General of Institute for health policies of the Slovak Ministry of health, responsible for analyses, budget and implementation of key projects.​

Episode One

Introduction to Monitoring for Fraud and Corruption in Public Procurement in Healthcare

The first webinar in this three-part series provided an overview of the problems in the healthcare sector in Bulgaria, Hungary, Romania and Slovakia. This session focuses on how monitoring public procurement through data analytics can help address the corruption problem. This topic was illustrated with some success cases from Hungary and Romania.

Speakers

Martin Smatana

Septimius Parvu

Sandor Lender

Peter Stoykov

Mihaly Fazekas

Episode Two

Using Micro Analytics (Small Data Analytics) to Monitor for Fraud and Corruption in Public Procurement

The second webinar was devoted to the usage of “small data” analytics to identify specific indicators and evidence of possible fraud, corruption, bid rigging, collusion and other abuses in individual procurements. A special attention was paid to advantages of digitalization of procurement systems to “proactively” detect and prevent fraud, corruption and other abuses.

Speakers

Mike Kramer

Septimius Parvu

Sandor Lender

Peter Stoykov

Episode Three

Using Macro Analytics (Big Data Analytics) to Monitor Fraud and Corruption in Public Procurement

The third webinar was devoted to the usage of big data analytics to monitor public procurement to identify patterns and trends of possible fraud and corruption in the healthcare sector, possible failures to comply with procurement laws and regulations, and best practices. ​​

Speakers

Mihaly Fazekas

Related News

Privacy Preference Center

Necessary Cookies

_cfduid Used by the content network, Cloudflare, to identify trusted web traffic.
Duration: 1 year

gdpr[allowed_cookies]
Used by our GDPR compliance plugin and controls user's selected preference.
Duration: 1 year

gdpr[consent_types]
Used by our GDPR compliance plugin and tracks user's consents.
Duration: 1 year.

__cfduid, gdpr[allowed_cookies], gdpr[consent_cookies]

Statistics

_ga
Google analytics, _ga is used to understand how the visitor navigates around the site
Duration: 1 year
_gat
Used by Google Analytics to throttle request rate
Duration: 1 session
_gid
Google analytics, _gid is used to understand how the visitor navigates around the site
Duration: 1 session
If you wish to opt-out Google Analytics, please go this link: https://tools.google.com/dlpage/gaoptout

_hjIncludedInSample
Hotjar cookie. This session cookie is set to let Hotjar know whether that visitor is included in the sample which is used to generate funnels.
Duration: 1 year
You can opt-out to the creation of a user profile, Hotjar’s storing of data about your usage of our site and Hotjar’s use of tracking cookies on other websites by following this opt-out link: https://www.hotjar.com/opt-out

_ga, _gat, _gid, _hjIncludedInSample

Analytics