The healthdata.be project aims to minimize data registration burdens and maximize the return on information collected. It focuses on standardizing and automating business processes, data collection architecture, information architecture, and data management. This will simplify interactions between actors and adhere to the "only once" principle of data collection. The project establishes a new service within the Institute of Public Health to facilitate data exchange between healthcare professionals and researchers according to privacy and confidentiality standards.
Presentation (2015.11.16) of healthdata.be project @ Abrumethealthdata be
The healthdata.be project aims to minimize data registration burdens and maximize the return on information collected. It focuses on standardizing business processes, data collection architectures, information architectures, and data management across Belgium's many health data collection projects. The project was launched in 2014 and is working to standardize 42 existing health registers managed by Belgian health agencies by 2017.
Presentation (2015.11.20) of healthdata.be project for partners of Collaborat...healthdata be
The healthdata.be project aims to minimize the registration burden for healthcare providers while maximizing the return on collected health information. It focuses on standardizing and automating business processes, data collection architecture, information architecture, and data management. This will be accomplished by developing software called HD4DP that allows healthcare providers to transfer standardized, coded health data to a central data warehouse using a secure process that encrypts identifiers. The centralized data can then be analyzed and used to provide feedback to improve healthcare practices and policy decisions.
20151028 hd College van Geneesheren-Directeurs - Collège des directeurs médicauxJohan van Bussel
20151028 presentation project healthdata.be to College van Geneesheren-Directeurs - Collège des directeurs médicaux. More info available @ http://www.healthdata.be
There are three key forms of health information exchange:
1) Directed exchange allows providers to electronically send and receive secure information like lab results between providers involved in a patient's care.
2) Query-based exchange allows providers to find and request information on a patient from other providers, often used for emergency care.
3) Consumer mediated exchange allows patients to aggregate and manage their health information online and help transfer it between providers.
Health Delivery Information Systems (HDIS) provide applications and software to record and manage healthcare data for every patient encounter. The document discusses designing a scalable and standards-based HDIS, including implementing it using a microservices architecture approach adhering to design principles from the National Digital Health Blueprint. Key elements include using interoperability standards, a mobile-first design, and building modules focused on core functionality for initial implementation.
This white paper discusses how FHIR (Fast Healthcare Interoperability Resources) can help address interoperability challenges in the life sciences industry. It notes that life sciences organizations need a unified platform for sharing data to generate insights from clinical trials and collaborations. FHIR allows different systems to exchange data in real-time, facilitating integration of data from electronic medical records, clinical trials, devices, and other sources. The paper provides examples of how FHIR could enable more patient-centric trials, data-driven research, and regulatory compliance. Both benefits and challenges of FHIR adoption are described.
An Adaptive Technique in Electronic Health Record for Clinical Decision Makin...ijtsrd
Cloud computing is a collection of several computer resources that consists of both software and hardware. It is a type of service that is delivered over the internet and can be accessible from anywhere. 1 The data and services can be accessed through the internet. 4 These services are managed by the third party over the internet. They eventually provide access to the servers and resources. Health records consist of patient’s data regarding health. This data is usable by both the hospitals and patients. 6 8 This can be eventually used to track the medical history of patients. Data Visualization is a graphical depiction of the data. It implicates producing images that advertise the link among the data that the users view. Hence, they are used for clinical decision making. In this paper we will be discussing how cloud can be used to maintain health records electronically. Meghana Prakash | Vignesh S "An Adaptive Technique in Electronic Health Record for Clinical Decision Making Based on Data Visualization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30699.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/30699/an-adaptive-technique-in-electronic-health-record-for-clinical-decision-making-based-on-data-visualization/meghana-prakash
Presentation (2015.11.16) of healthdata.be project @ Abrumethealthdata be
The healthdata.be project aims to minimize data registration burdens and maximize the return on information collected. It focuses on standardizing business processes, data collection architectures, information architectures, and data management across Belgium's many health data collection projects. The project was launched in 2014 and is working to standardize 42 existing health registers managed by Belgian health agencies by 2017.
Presentation (2015.11.20) of healthdata.be project for partners of Collaborat...healthdata be
The healthdata.be project aims to minimize the registration burden for healthcare providers while maximizing the return on collected health information. It focuses on standardizing and automating business processes, data collection architecture, information architecture, and data management. This will be accomplished by developing software called HD4DP that allows healthcare providers to transfer standardized, coded health data to a central data warehouse using a secure process that encrypts identifiers. The centralized data can then be analyzed and used to provide feedback to improve healthcare practices and policy decisions.
20151028 hd College van Geneesheren-Directeurs - Collège des directeurs médicauxJohan van Bussel
20151028 presentation project healthdata.be to College van Geneesheren-Directeurs - Collège des directeurs médicaux. More info available @ http://www.healthdata.be
There are three key forms of health information exchange:
1) Directed exchange allows providers to electronically send and receive secure information like lab results between providers involved in a patient's care.
2) Query-based exchange allows providers to find and request information on a patient from other providers, often used for emergency care.
3) Consumer mediated exchange allows patients to aggregate and manage their health information online and help transfer it between providers.
Health Delivery Information Systems (HDIS) provide applications and software to record and manage healthcare data for every patient encounter. The document discusses designing a scalable and standards-based HDIS, including implementing it using a microservices architecture approach adhering to design principles from the National Digital Health Blueprint. Key elements include using interoperability standards, a mobile-first design, and building modules focused on core functionality for initial implementation.
This white paper discusses how FHIR (Fast Healthcare Interoperability Resources) can help address interoperability challenges in the life sciences industry. It notes that life sciences organizations need a unified platform for sharing data to generate insights from clinical trials and collaborations. FHIR allows different systems to exchange data in real-time, facilitating integration of data from electronic medical records, clinical trials, devices, and other sources. The paper provides examples of how FHIR could enable more patient-centric trials, data-driven research, and regulatory compliance. Both benefits and challenges of FHIR adoption are described.
An Adaptive Technique in Electronic Health Record for Clinical Decision Makin...ijtsrd
Cloud computing is a collection of several computer resources that consists of both software and hardware. It is a type of service that is delivered over the internet and can be accessible from anywhere. 1 The data and services can be accessed through the internet. 4 These services are managed by the third party over the internet. They eventually provide access to the servers and resources. Health records consist of patient’s data regarding health. This data is usable by both the hospitals and patients. 6 8 This can be eventually used to track the medical history of patients. Data Visualization is a graphical depiction of the data. It implicates producing images that advertise the link among the data that the users view. Hence, they are used for clinical decision making. In this paper we will be discussing how cloud can be used to maintain health records electronically. Meghana Prakash | Vignesh S "An Adaptive Technique in Electronic Health Record for Clinical Decision Making Based on Data Visualization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30699.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/30699/an-adaptive-technique-in-electronic-health-record-for-clinical-decision-making-based-on-data-visualization/meghana-prakash
The document discusses proposals for developing healthcare information sharing infrastructure and solutions across multiple healthcare providers in New Jersey. It proposes a partnership between Newark Beth Israel Medical Center and other hospitals, clinics, nursing homes and healthcare organizations to create a healthcare information exchange. It describes two potential models for this exchange and the key components, including physician and patient portals, clinical data repositories, standards-based integration, and a universal patient transfer form. The goal is to improve care coordination, access to patient information, and health outcomes across the healthcare system.
From the Nexus project showcase. Presented by Dr Martin Wilson, Clinical Leader I.T., Pegasus Health and Symon McHerron, CIO, Pegasus Health at HINZ 2014, 11 November 2014, 1.45pm, Plenary Room
HealthBotz Allscripts challenge care plan presentation finaltmarcin
The document describes HealthBotz, a web application that enables providers and patients to collaborate on care plans for patients with chronic diseases like diabetes. It addresses the problems of high healthcare costs and improving outcomes for these patients by increasing engagement in care plan creation and compliance. The application would pull data from electronic medical records and push updates back to provide a collaborative care planning tool integrated with medical records. It outlines the technical architecture and plans for piloting the application with partners.
HXR 2016: Free the Data Access & Integration -Peter Levin, Amida Technology S...HxRefactored
Utilizing the power of data can empower patients and arm developers in the creation of new tools and platforms. Whether it’s authenticating data, downloading it via BlueButton, or connecting data with other applications using BlueButton on FHIR, increased data accessibility is a win for everyone. Presenters will give an overview of the opportunities and challenges that exist today and share the newest technologies and initiatives that are overcoming them.
Direct Boot Camp 2.0 - Tennesse DirectoriesBrian Ahier
The document outlines Tennessee's strategy to promote the adoption of Direct secure messaging starting with state agencies and then expanding to private healthcare providers. It involves establishing a statewide health information service provider (HISP) to connect state agencies. It also describes a financial incentive program for private providers to adopt Direct, listing in an online provider directory, and future enhancements to the directory including improved search and integration features. Considerations for the strategy include that it is low-cost and supports referrals but requires ongoing maintenance and is limited to participants in the program.
Challenges and Opportunities Around Integration of Clinical Trials DataCitiusTech
Conducting a Clinical Trial is a complex process, consisting of activities such as protocol preparation, site selection, approval of various authorities, meticulous collection and management of data, analysis and reporting of the data collected
Each activity is benefited from the development of point applications which ease the process of data collection, reporting and decision making. The recent advancements in mobile technologies and connectivity has enabled the generation and exchange of a lot more data than previously anticipated. However, the lack of interoperability and proper planning to leverage this data, still acts as a roadblock in allowing organizations truly harness their data assets. This document will help life sciences IT professionals and decision makers understand challenges and opportunities around clinical data integration
Enterprise Integration Engine for Large Scale InteroperabilityOrion Health
In this webinar, we examine how Catholic Health Initiatives manages an enterprise integration engine for the nation’s third-largest nonprofit health system.
HXR 2016: Free the Data Access & Integration -Jonathan Hare, WebShieldHxRefactored
Utilizing the power of data can empower patients and arm developers in the creation of new tools and platforms. Whether it’s authenticating data, downloading it via BlueButton, or connecting data with other applications using BlueButton on FHIR, increased data accessibility is a win for everyone. Presenters will give an overview of the opportunities and challenges that exist today and share the newest technologies and initiatives that are overcoming them.
THE 4 R’S – REASON, REDCAP, REVIEW AND RESEARCH - IN A LARGE HEALTHCARE ORGAN...hiij
This paper outlines the journey of a large Australian academic health service in relation to the acquisition,
installation and roll out of the REDCap platform (RCP) for the betterment of clinical review (clinical audit)
and research data collection. The main aims of the acquisition of the platform were to facilitate data collection and management for audit and research across the organization in a more sustainable way than had previously been possible. We found the platform to be easily installed and maintained. There was rapid uptake of the platform by a range of health service stakeholders across the audit, research and operational domains. We were also able to successfully integrate data from our corporate clinical data environment,
The REASON Discovery Platform R (REASON) into selected REDCap “applications” using the Dynamic Data Pull (DDP) functionality it provides. In summary the acquisition and installation of REDCap at our health service has been hugely successful and has provided a great facility for use by a large number of organizational stakeholders going forwards into the future.
MiHIN Health Provider Directory Demo Slides with CQMRR v43 02 18-15mihinpr
The document provides an overview of the Michigan Statewide Health Provider Directory (HPD) service. The HPD service allows for the storage and sharing of electronic provider information to support use cases like transitions of care. It utilizes Salesforce platform for a production-quality deployment and supports integration through APIs. The HPD also focuses on routing health records via electronic service information and supports quality reporting through clinical quality measurement portals.
Direct Boot Camp 2 0 Federal Agency requirements for exchange via directBrian Ahier
The FHA Directed Exchange Workgroup provides updates on efforts to increase the adoption of Direct for health information exchange between federal agencies and non-federal entities. They are educating federal partners on Direct technology and policies, developing common understanding of use cases and security requirements, and identifying baseline documents and FAQs. Establishing a common federal Direct policy would greatly increase its adoption for information exchange. Focused workgroups address Directed exchange, security, and interoperability issues. Risks to Directed exchange between agencies are being identified and recommendations will be provided to ONC.
mMD.net is an electronic health record and practice management software with features including health information exchange, a patient portal, mobile access, and integration with other systems. It uses a services-oriented architecture and can automatically share patient medical records between providers to facilitate referrals and consultations.
This document summarizes a presentation on using big data and personalized medicine to improve healthcare. It introduces the speakers, Dr. Robert Fraser from the Personalized Medicine Initiative and Roy Wilds from PHEMI Systems. The presentation discusses how personalized medicine can move from physiological diagnosis and trial therapies to molecular diagnosis and targeted treatment, improving outcomes and reducing costs. It highlights the Personalized Medicine Initiative in British Columbia and its goals of establishing a clinical database of molecular data on 25,000 Canadians to enable preventive and personalized treatment. The Molecular You program is described as providing comprehensive molecular health monitoring and analysis to facilitate early disease detection and targeted therapy.
This document discusses the Vietnam Health Information Technology Program (VHITP) and its goals of creating an integrated health information network called Healthnet (Healthnet.vn) to distribute health information to communities in Vietnam. The network aims to securely collect health data to provide better healthcare services and support the doctor-patient relationship. It also aims to aggregate data in real-time for managers and decision makers. Key objectives of Healthnet.vn include collecting secure clinical data to provide authorized professionals with up-to-date patient information and using combined data to provide health authorities a real-time view of community health and services usage.
eHealth: some challenges by Frank RobbenCONFENIS 2012
The document discusses some challenges facing eHealth, including more chronic care needs, remote care, mobile care, and integrated care. It also notes needs for reliable knowledge management, efficient processes, and information security and privacy protections. The Belgian approach to addressing these challenges involves creating a governance structure and technical platform to enable secure electronic information exchange between healthcare actors while respecting privacy.
This document presents MIDATA.coop, a citizen-controlled platform for storing and sharing personal health data. MIDATA.coop is being developed by ETH Zurich and Bern University of Applied Sciences as a not-for-profit cooperative that empowers citizens to securely store their medical and genomic data and share it through mobile apps if they choose. The presentation outlines several potential use cases for MIDATA.coop, including patient follow-up after medical procedures, post-surveillance of chronic conditions like multiple sclerosis, and health data sharing for athletes, students and researchers.
Guest lecture Programme in the Methods of Health Economics (Abteilung für Ges...healthdata be
Guest lecture Programme in the Methods of Health Economics (Abteilung für Gesundheitsökonomie, Zentrum für Public Health an der Medizinische Universität Wien)
Infosession for IQED dataproviders (14-22.04.2016)healthdata be
The document discusses the healthdata.be project, which aims to simplify and standardize health data collection in Belgium. It does this by minimizing registration burdens on data providers and maximizing the return on collected information. The project establishes common processes, standards, and infrastructure to facilitate secure data exchange between healthcare providers and researchers while respecting privacy. It describes the end-to-end data collection, management and reporting process enabled by healthdata.be, including data validation, storage, analysis and aggregated reporting capabilities. The use of clinical building blocks and terminologies like SNOMED-CT are discussed to help standardize data collection across different health registries and systems.
The document discusses proposals for developing healthcare information sharing infrastructure and solutions across multiple healthcare providers in New Jersey. It proposes a partnership between Newark Beth Israel Medical Center and other hospitals, clinics, nursing homes and healthcare organizations to create a healthcare information exchange. It describes two potential models for this exchange and the key components, including physician and patient portals, clinical data repositories, standards-based integration, and a universal patient transfer form. The goal is to improve care coordination, access to patient information, and health outcomes across the healthcare system.
From the Nexus project showcase. Presented by Dr Martin Wilson, Clinical Leader I.T., Pegasus Health and Symon McHerron, CIO, Pegasus Health at HINZ 2014, 11 November 2014, 1.45pm, Plenary Room
HealthBotz Allscripts challenge care plan presentation finaltmarcin
The document describes HealthBotz, a web application that enables providers and patients to collaborate on care plans for patients with chronic diseases like diabetes. It addresses the problems of high healthcare costs and improving outcomes for these patients by increasing engagement in care plan creation and compliance. The application would pull data from electronic medical records and push updates back to provide a collaborative care planning tool integrated with medical records. It outlines the technical architecture and plans for piloting the application with partners.
HXR 2016: Free the Data Access & Integration -Peter Levin, Amida Technology S...HxRefactored
Utilizing the power of data can empower patients and arm developers in the creation of new tools and platforms. Whether it’s authenticating data, downloading it via BlueButton, or connecting data with other applications using BlueButton on FHIR, increased data accessibility is a win for everyone. Presenters will give an overview of the opportunities and challenges that exist today and share the newest technologies and initiatives that are overcoming them.
Direct Boot Camp 2.0 - Tennesse DirectoriesBrian Ahier
The document outlines Tennessee's strategy to promote the adoption of Direct secure messaging starting with state agencies and then expanding to private healthcare providers. It involves establishing a statewide health information service provider (HISP) to connect state agencies. It also describes a financial incentive program for private providers to adopt Direct, listing in an online provider directory, and future enhancements to the directory including improved search and integration features. Considerations for the strategy include that it is low-cost and supports referrals but requires ongoing maintenance and is limited to participants in the program.
Challenges and Opportunities Around Integration of Clinical Trials DataCitiusTech
Conducting a Clinical Trial is a complex process, consisting of activities such as protocol preparation, site selection, approval of various authorities, meticulous collection and management of data, analysis and reporting of the data collected
Each activity is benefited from the development of point applications which ease the process of data collection, reporting and decision making. The recent advancements in mobile technologies and connectivity has enabled the generation and exchange of a lot more data than previously anticipated. However, the lack of interoperability and proper planning to leverage this data, still acts as a roadblock in allowing organizations truly harness their data assets. This document will help life sciences IT professionals and decision makers understand challenges and opportunities around clinical data integration
Enterprise Integration Engine for Large Scale InteroperabilityOrion Health
In this webinar, we examine how Catholic Health Initiatives manages an enterprise integration engine for the nation’s third-largest nonprofit health system.
HXR 2016: Free the Data Access & Integration -Jonathan Hare, WebShieldHxRefactored
Utilizing the power of data can empower patients and arm developers in the creation of new tools and platforms. Whether it’s authenticating data, downloading it via BlueButton, or connecting data with other applications using BlueButton on FHIR, increased data accessibility is a win for everyone. Presenters will give an overview of the opportunities and challenges that exist today and share the newest technologies and initiatives that are overcoming them.
THE 4 R’S – REASON, REDCAP, REVIEW AND RESEARCH - IN A LARGE HEALTHCARE ORGAN...hiij
This paper outlines the journey of a large Australian academic health service in relation to the acquisition,
installation and roll out of the REDCap platform (RCP) for the betterment of clinical review (clinical audit)
and research data collection. The main aims of the acquisition of the platform were to facilitate data collection and management for audit and research across the organization in a more sustainable way than had previously been possible. We found the platform to be easily installed and maintained. There was rapid uptake of the platform by a range of health service stakeholders across the audit, research and operational domains. We were also able to successfully integrate data from our corporate clinical data environment,
The REASON Discovery Platform R (REASON) into selected REDCap “applications” using the Dynamic Data Pull (DDP) functionality it provides. In summary the acquisition and installation of REDCap at our health service has been hugely successful and has provided a great facility for use by a large number of organizational stakeholders going forwards into the future.
MiHIN Health Provider Directory Demo Slides with CQMRR v43 02 18-15mihinpr
The document provides an overview of the Michigan Statewide Health Provider Directory (HPD) service. The HPD service allows for the storage and sharing of electronic provider information to support use cases like transitions of care. It utilizes Salesforce platform for a production-quality deployment and supports integration through APIs. The HPD also focuses on routing health records via electronic service information and supports quality reporting through clinical quality measurement portals.
Direct Boot Camp 2 0 Federal Agency requirements for exchange via directBrian Ahier
The FHA Directed Exchange Workgroup provides updates on efforts to increase the adoption of Direct for health information exchange between federal agencies and non-federal entities. They are educating federal partners on Direct technology and policies, developing common understanding of use cases and security requirements, and identifying baseline documents and FAQs. Establishing a common federal Direct policy would greatly increase its adoption for information exchange. Focused workgroups address Directed exchange, security, and interoperability issues. Risks to Directed exchange between agencies are being identified and recommendations will be provided to ONC.
mMD.net is an electronic health record and practice management software with features including health information exchange, a patient portal, mobile access, and integration with other systems. It uses a services-oriented architecture and can automatically share patient medical records between providers to facilitate referrals and consultations.
This document summarizes a presentation on using big data and personalized medicine to improve healthcare. It introduces the speakers, Dr. Robert Fraser from the Personalized Medicine Initiative and Roy Wilds from PHEMI Systems. The presentation discusses how personalized medicine can move from physiological diagnosis and trial therapies to molecular diagnosis and targeted treatment, improving outcomes and reducing costs. It highlights the Personalized Medicine Initiative in British Columbia and its goals of establishing a clinical database of molecular data on 25,000 Canadians to enable preventive and personalized treatment. The Molecular You program is described as providing comprehensive molecular health monitoring and analysis to facilitate early disease detection and targeted therapy.
This document discusses the Vietnam Health Information Technology Program (VHITP) and its goals of creating an integrated health information network called Healthnet (Healthnet.vn) to distribute health information to communities in Vietnam. The network aims to securely collect health data to provide better healthcare services and support the doctor-patient relationship. It also aims to aggregate data in real-time for managers and decision makers. Key objectives of Healthnet.vn include collecting secure clinical data to provide authorized professionals with up-to-date patient information and using combined data to provide health authorities a real-time view of community health and services usage.
eHealth: some challenges by Frank RobbenCONFENIS 2012
The document discusses some challenges facing eHealth, including more chronic care needs, remote care, mobile care, and integrated care. It also notes needs for reliable knowledge management, efficient processes, and information security and privacy protections. The Belgian approach to addressing these challenges involves creating a governance structure and technical platform to enable secure electronic information exchange between healthcare actors while respecting privacy.
This document presents MIDATA.coop, a citizen-controlled platform for storing and sharing personal health data. MIDATA.coop is being developed by ETH Zurich and Bern University of Applied Sciences as a not-for-profit cooperative that empowers citizens to securely store their medical and genomic data and share it through mobile apps if they choose. The presentation outlines several potential use cases for MIDATA.coop, including patient follow-up after medical procedures, post-surveillance of chronic conditions like multiple sclerosis, and health data sharing for athletes, students and researchers.
Guest lecture Programme in the Methods of Health Economics (Abteilung für Ges...healthdata be
Guest lecture Programme in the Methods of Health Economics (Abteilung für Gesundheitsökonomie, Zentrum für Public Health an der Medizinische Universität Wien)
Infosession for IQED dataproviders (14-22.04.2016)healthdata be
The document discusses the healthdata.be project, which aims to simplify and standardize health data collection in Belgium. It does this by minimizing registration burdens on data providers and maximizing the return on collected information. The project establishes common processes, standards, and infrastructure to facilitate secure data exchange between healthcare providers and researchers while respecting privacy. It describes the end-to-end data collection, management and reporting process enabled by healthdata.be, including data validation, storage, analysis and aggregated reporting capabilities. The use of clinical building blocks and terminologies like SNOMED-CT are discussed to help standardize data collection across different health registries and systems.
This document presents an MSc thesis on big data in healthcare. It discusses how the healthcare sector is generating large amounts of data and how big data can be used in healthcare. The document outlines a plan to first discuss why big data is important in healthcare, providing examples of data usage history and current applications. It then details how big data can be collected, processed and analyzed in the healthcare sector using tools like Hadoop, Hive, Pig and Sqoop. The future potential of big data in healthcare is also envisioned, with real-time uses.
Open ap is-infrastructure4innovation_internetofhealth2018_v3AnnaSeebergHansen
The document discusses open standard APIs and their potential role as infrastructure for innovation, using HL7 FHIR and the International Patient Summary (IPS) as a case study. It notes that APIs allow data sharing and third-party development, and that FHIR is a flexible standard for health data exchange. The IPS implementation guide aims to specify a minimum patient summary dataset for cross-border emergency care. The document argues that open standards like FHIR and IPS can help unlock health data's value through interoperability, decision support, and new applications.
Chapter 6 Health Information ExchangeRobert Hoyt MDWilliam .docxrobertad6
Health information exchange (HIE) allows electronic sharing of patient health data between organizations according to national standards. HIE can improve care coordination but faces challenges such as cost and competition between organizations. Emerging models like FHIR and blockchain may address these challenges by using open source approaches and distributed ledgers. Standards are crucial for HIE and interoperability by establishing common rules for data sharing through identifiers, transactions, messages, imaging and terminology.
The document discusses H-Connect, a cloud-based health portal that allows patients, doctors, labs, and hospitals to access and share health information through a patient health record system and electronic health records system. It can be accessed via mobile apps, web, email and text. The portal provides features like customer relationship management, health analytics, personal health records, data standardization, and health content. It aims to improve healthcare by better managing patient information and promoting communication between providers and patients.
The MEDDHMIS project implemented a hospital management information system across 14 government medical colleges and 19 teaching hospitals in Maharashtra. As a pilot, GGMC and Sir JJ Hospital in Mumbai implemented the HMIS, which integrated modules for patient registration, electronic medical records, radiology, labs, inventory, and billing. The system issues unique patient IDs, reduced registration wait times, and made patient data and diagnostic reports electronically available. Over 15 lakh unique patients have been registered, with significant increases in registrations, revenue, and medical research publications since implementation. While outdated equipment and lack of IT knowledge among medical staff posed challenges, standardized processes and extensive training helped overcome issues to realize the benefits of improved patient care, transparency, and data
The document discusses health information exchange and HL7 standards. It provides an overview of the importance of health information exchange and standards. It then describes HL7, including what HL7 is, its mission to enable interoperability and sharing of health data, the versions and products of HL7 standards, and examples of HL7 standard adoption.
Dr. Akash Prabhune presented on the use of information technology in healthcare. Some key points included:
1) Computer applications and cloud services can help organize health data and enable telemedicine, improving access to services.
2) IT can help address human resource gaps, improve patient safety, enhance monitoring and decision making, and boost training efforts.
3) Common areas for IT intervention include electronic health records, supply chain management, online services, planning and monitoring.
4) Challenges include adopting standards, integrating siloed systems, ensuring data security and privacy, and building user capacity.
iSofH is a leading healthcare IT company in Vietnam that provides comprehensive hospital information systems (HIS) to 8 major hospitals. Their HIS solution integrates modules for patient registration, medical records, billing, inventory management, and other core hospital functions. iSofH's platform aims to help hospitals digitally transform their operations and manage over 30% of medical data in Vietnam. Their adaptable, standards-compliant system securely connects key departments and can scale to support hospitals' growing needs over the next 10 years.
Health IT actions in japansese public sector 2013-2017Yasuji Suda
summary of 5 years healthcare it related programs in Japanese public sector using text analysis to visualize relation among reports describing healthcare IT.
HIMMSEurope2019 - Anytime anywhere, for everyone healthRachel De Sain
Codesain CEO Rachel de Sain presented at the 2019 HIMMSEurope conference held in Helsinki in June. She shared information about the Australian Digital Health Journey and reminded us that we need to ensure the investment in transforming the health sector through digital to achieve anytime anywhere health ensures its for everyone. We can and should also look at this transformation as an opportunity to not only achieve the quadruple aim, but extend that to fuel innovation and new growth for the economy.
IQChart is a patient management database that collects clinical data from HIV/AIDS patients to generate accurate monthly and quarterly reports for monitoring and evaluation. It was developed by AIDS Relief and ICAP to computerize paper-based patient registers and improve data analysis and clinical decision making. The tool is freely available, open source software that is used in over 90 treatment facilities in Rwanda to track over 54,000 patients. Future plans include integrating geographic information system mapping capabilities to help identify underserved areas and monitor program outcomes.
Presentation at the Parallel Session 1.5
Choosing and using standards for interoperable information systems at the PRINCE MAHIDOL AWARD CONFERENCE 2010, Bangkok, Jan 28-30
Présentation à l'occasion de la Conférence HIMSS Amsterdam 2013 du DMP, "French PHR/EHR" on its creation, usage and lessons learnt with a national e-health record by François MACARY (ASIP Santé)
Similar to Presentation project healthdata.be for hospitals in Limburg (dd. 2015.11.30.) @ Jessa Ziekenhuis (20)
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Cell Therapy Expansion and Challenges in Autoimmune DiseaseHealth Advances
There is increasing confidence that cell therapies will soon play a role in the treatment of autoimmune disorders, but the extent of this impact remains to be seen. Early readouts on autologous CAR-Ts in lupus are encouraging, but manufacturing and cost limitations are likely to restrict access to highly refractory patients. Allogeneic CAR-Ts have the potential to broaden access to earlier lines of treatment due to their inherent cost benefits, however they will need to demonstrate comparable or improved efficacy to established modalities.
In addition to infrastructure and capacity constraints, CAR-Ts face a very different risk-benefit dynamic in autoimmune compared to oncology, highlighting the need for tolerable therapies with low adverse event risk. CAR-NK and Treg-based therapies are also being developed in certain autoimmune disorders and may demonstrate favorable safety profiles. Several novel non-cell therapies such as bispecific antibodies, nanobodies, and RNAi drugs, may also offer future alternative competitive solutions with variable value propositions.
Widespread adoption of cell therapies will not only require strong efficacy and safety data, but also adapted pricing and access strategies. At oncology-based price points, CAR-Ts are unlikely to achieve broad market access in autoimmune disorders, with eligible patient populations that are potentially orders of magnitude greater than the number of currently addressable cancer patients. Developers have made strides towards reducing cell therapy COGS while improving manufacturing efficiency, but payors will inevitably restrict access until more sustainable pricing is achieved.
Despite these headwinds, industry leaders and investors remain confident that cell therapies are poised to address significant unmet need in patients suffering from autoimmune disorders. However, the extent of this impact on the treatment landscape remains to be seen, as the industry rapidly approaches an inflection point.
DECLARATION OF HELSINKI - History and principlesanaghabharat01
This SlideShare presentation provides a comprehensive overview of the Declaration of Helsinki, a foundational document outlining ethical guidelines for conducting medical research involving human subjects.
10 Benefits an EPCR Software should Bring to EMS Organizations Traumasoft LLC
The benefits of an ePCR solution should extend to the whole EMS organization, not just certain groups of people or certain departments. It should provide more than just a form for entering and a database for storing information. It should also include a workflow of how information is communicated, used and stored across the entire organization.
8 Surprising Reasons To Meditate 40 Minutes A Day That Can Change Your Life.pptxHolistified Wellness
We’re talking about Vedic Meditation, a form of meditation that has been around for at least 5,000 years. Back then, the people who lived in the Indus Valley, now known as India and Pakistan, practised meditation as a fundamental part of daily life. This knowledge that has given us yoga and Ayurveda, was known as Veda, hence the name Vedic. And though there are some written records, the practice has been passed down verbally from generation to generation.
Mercurius is named after the roman god mercurius, the god of trade and science. The planet mercurius is named after the same god. Mercurius is sometimes called hydrargyrum, means ‘watery silver’. Its shine and colour are very similar to silver, but mercury is a fluid at room temperatures. The name quick silver is a translation of hydrargyrum, where the word quick describes its tendency to scatter away in all directions.
The droplets have a tendency to conglomerate to one big mass, but on being shaken they fall apart into countless little droplets again. It is used to ignite explosives, like mercury fulminate, the explosive character is one of its general themes.
5-hydroxytryptamine or 5-HT or Serotonin is a neurotransmitter that serves a range of roles in the human body. It is sometimes referred to as the happy chemical since it promotes overall well-being and happiness.
It is mostly found in the brain, intestines, and blood platelets.
5-HT is utilised to transport messages between nerve cells, is known to be involved in smooth muscle contraction, and adds to overall well-being and pleasure, among other benefits. 5-HT regulates the body's sleep-wake cycles and internal clock by acting as a precursor to melatonin.
It is hypothesised to regulate hunger, emotions, motor, cognitive, and autonomic processes.
4. Unknown
effectiveness
Likely to be ineffective or harmful (3%)
Unlikely to be beneficial (6%)
Trade-off between
benefits and harms (7%)
Likely to be
beneficial (24%)
Beneficial (11%)
BMJ Clinical Evidence (2014)
Clinical registries are necessary !
50%
Effectiveness of 3000
common therapeutic
interventions
Plan
Check
Act
Do
5. Epidemiological surveillances are necessary !
Sabbe et al., (2012) Measles resurgence in Belgium, Eurosurveillance
healthdata.be
data we care for
6. 6
? ? ?
? ?
??! ? ?
healthdata.be
data we care for
7. healthdata.be
data we care for
Collection of health (care) related data
in Belgium (n > 160 projects): “AS-IS”
1
2
3
4
5
7
6
Stage
Stage
Stage
Stage
Stage
Stage
Stage
Repeated registration of same information: high costs
for data providers (ánd for researchers ánd government!)
Heterogeneous method & content: low transparency
and high administrative burden & complexity
Limited privacy & security
Insufficient return on information
Impact
8. Growing awareness
Milestone Date
1. Van de Sande, et al., Inventory of databases health care, KCE
Reports 30A, Brussels: KCE
2006
2. Belgian Court of Audit, Scientific support of the federal health
policy, BCA Reports, Brussels: BCA
2010
3. Coussée, et al., Charter High-quality recording of data by the
healthcare sector, Brussels; Zorgnet Vlaanderen
2010
4. Actionplan eHealth 2013-2018: Action point 18 “Inventory and
consolidation registers”
2012
5. Law of 5 May 2014: principle of “only once” data collection in
all activities of governemental services and institutes
2014
6. Federal (9.10.2014) coalition agreement prioritizes reduction
of administrative burden of health care professionals: “Only
once”!
2014
healthdata.be
data we care for
Van de Sande, et al. (2006) Inventory of databases health care, KCE
Reports 30A;
Belgian Court of Audit (2010) Scientific support of federal health policy,
BCA Reports;
Coussée (2010) Charter High-quality recording of data from the
healthcare sector, Brussels; Zorgnet Vlaanderen;
Action plan eHealth 2013-2018: Action point 18 “Inventory and
consolidation registers”;
Law 5 May 2014: principle of “only once” data collection in activities
gov. services & institutes;
Federal (9.10.2014) and Flemish (23.07.2014) coalition agreement
prioritizes reduction of administrative burden of health care
professionals: “Only once”!
Federal Minister Maggie De Block (25.04.2015) : Reform plan financing
of hospitals.
Version 2.0 of Action plan eHealth 2013-2018:;
Growing Awareness
9. Law of 10 April 2014 various provisions related to health: Section 9:
initiative RIZIV-INAMI and WIV-ISP: healthdata.be;
A new service within the legal body of the Institute of Public Health
(WIV-ISP), funded by RIZIV-INAMI (20/04/2015, contract of open-end
duration)
Facilitate (in terms of technology and process management) data
exchange between healthcare professionals and researchers according
to only once principle and re-use of data, in order to increase public
health knowledge and to adjust health care policy, with respect for
privacy of patient, healthcare professional and medical confidentiality.
Intergovernmental services for both federal and community/regional
governments responsible for health and healthcare, and private legal
bodies (indirectly);
2014-2017: focus on uniformisation of 42 existing registers managed by
WIV-ISP and RIZIV.
healthdata.be
10. Experiment
healthdata.be within the empirical cycle
Observation
Research Question
Theory Development
Conclusion(s)
Analysis
healthdata.be
data we care for
11. healthdata.be
data we care for
Healthdata.be will focus on the simplification,
standardization and automatization of the:
Business processes
Data collection architecture
Information architecture (terminology)
Data management
Feedback reporting
Simplification
12. healthdata.be
data we care for
Obtain standardization in way actors interact for certain
process
Simplify interaction between various actors by adhering
to ‘only once’ principle and maximally integrating with
existing workflows
Ensure compliance to various governance rules and
regulations
Create transparency and awareness for stakeholders
about various processes and status of on-going
processes
Support continuity of register management (e.g. in case
of staffing changes)
Business Processes
13.
14. Secure Data
Transfer
Data
Validation
Annotation
& Correction
Request
Data
Storage
BI-Reporting
Registration
in Primary
System
healthdata.be
data we care for
HEALTHSTATHD4DP
Analysis
Data Collection
supported by healthdata.be
Data Management & BI-Reporting
supported by healthdata.be
healthdata.be: the end-to-end process
healthdata.be
Data
Captation
Data
Monitoring
HD4RES DATAWAREHOUSE (SAS)
HD4DP: Free and open souce local client software (API* based
with eForms) managed by HD Catalogue;
“Open” architecture approved by:
WG Architecture: Positive advise (12/12/2014 &
06/03/2015) generic healthdata architecture;
Sector Committee health (Privacy commission):
Authorization (21/04/2015) generic healthdata
architecture;
eHealth-platform : Authorization (22/04/2015) generic
healthdata architecture;
Successful installations at >60 hospitals; in production since
14.09.2015.
Industry: integration HD4DP in their (messaging) software
*API: Application Programming Interface
Architecture
16. Healthdata.be
Catalogue (PROD) with
Registry form definition
Data provider
Sending Data Through an
API & Prefilling Forms for
less Manual Work
Legend
Identifiers (SSIN, RIZIV, …)
Metadata (internal ID, type data, …)
Medical data
CSV
24/7
HD4DP
and / or
HD4DP : Healthdata for Data Providers
healthdata.be
data we care for
• All manual input remains available
(structured and coded, according to
[inter]national standard) in local database of
DP:
• Import in future upgrade of EPD/LIMS;
• Re-Use for internal BI & QI
18. ETK & E2E Encryption
eHealthBox with Codage
Legend
Identifiers (SSIN, RIZIV, transaction ID, ..)
Metadata (timestamp, type data, …)
Personal data (medical or other,
possibly KMEHR based)
Coded Identifiers
Encrypted Data
eHealth has never access to
medical data or metadata
Healthdata never receives
the original identifier, but
can reconcile different
entries
The data provider never
receives the coded
identifiers
CSV CSV
CSV
CSV
CSV
CSV
CSV
CSV
HD4RES
HD4DP
healthdata.be
data we care for
Secure transfer of data and encoding of identifiers
20. Feedback flow
Resubmission
(through the standard
data transfer flow)
No impact on eHealth, existing
services are used
eHealthBox with DECodage
Legend
Metadata (timestamp, type of data, …)
Feedback
Field to correct
Identifiers (SSIN, RIZIV, transaction ID, ..)
Personal Data (medical or other)
CSV CSVCSV
CSV
CSV
CSV
CSV
Researcher
HD4RESHD4DP
Verify data and feedback to data provider (HD4RES)
21. Re-use of data in primary systems:
CSV-upload functionality to upload data
that is extracted from primary systems
(e.g. EPD, LIMS).
CSV upload improvements:
Various improvements of the prefill
functionality via CSV-upload, including
supporting the upload of different CSV's
for one record & support repeated
upload of the same CSV.
Integration with primary systems:
Allow users to open a prefilled
healthdata form in their primary systems
(e.g. EPD, LIMS).
Built-in validation:
Inter- and intrafield validations are
performed while the form is being filled
out.
Application integration:
HIMS and LIMS can send the data
through a standards based programmatic
interface (API)
Registry PM self-service:
Allow registry PMs to maintain their own
data collection definitions & reference
lists
Correction request handling:
Registry PM can annotate records and
send them back to the data providers for
review.
Origin of data:
Indicate for each record which data was
prefilled, manually provided or manually
modified after initial prefilling.
CURRENT VERSION 1.3.0. – 1.4.0. (dec2015)
Process reporting:
Display metrics about the data collection
process (e.g. # corrections, process time,
# sessions, …)
Desktop version of HD4DP:
Allow HD4DP to be installed on a desktop
instead of a local server. Necessary for
use by general practitioners.
Improved search functionality:
Allow registry PMs to more easily search
their records
PDF/Print View:
Provide a printer-friendly version of the
data collection form to support data
collection on paper
Bulk request corrections:
Allow the registry PM to select multiple
records for correction with one action
Email notifications:
Allow the registry PM to send email
reminders to data providers
Images in forms:
Allow data providers to indicate specific
locations/zones on an image
Pseudonimization via eHealth:
The eHealth-platform acts as Trusted
Third Party to pseudonimize patient
identifiers before they are sent to
healthdata.
Secure data transfer:
Data is transferred between data
providers and healthdata via the secure
eHealthBox channel
HD4DP – for data providers
HD4RES – for researchers
Legend:
healthdata.be
data we care for
Development Roadmap HD4DP* & HD4RES
Multi-center HD4DP:
Allow one HD4DP-installation to be used
by different organisations
PLANNED DEVELOPMENT
*4 planned major releases of HD4DP each year
23. Secure: strict user & access management (Only HD
staff);
Privacy: “register” specific encoding of identifiers (by
HD);
Auditable: logs of who has seen what, how and when
(IBM InfoSphere Guardium);
Standardized: common technology (DB2, SAS BI) and
standards across registers;
HD Security officer (Ir. Nand Staes);
Location: Data center of Directorate General Statistics
and Economic Information (FOD ECO-DGSEI): Contract
and SLA available.
Data storage
25. Secure: strict user access management (Only authorized project
managers and researchers), through VPN, to MICRO data;
Current stat. software: SAS; 2016: R and STATA
Privacy: “analysis” specific encoding of identifiers (by HD) +
Statistical Disclosure Control by external MD-statistician +
Auditable (IBM InfoSphere Guardium);
Secundary use(rs) and cross-linking registers = possible ONLY
with proper authorization approvals.
Data analysis
26. 26
Healthstat.be (website; live 12/2015) as a secure reporting
platform, with only aggregated data;
Objective: to give Return on Information (ROI) to data
providers (reports designed by data providers), and up-to-date
reporting for governments and stakeholders;
2 sections: Authorized section for register stakeholders (data
providers, government, register project managers, …), with
reporting tailored for each user profile (UAM by eHealth);
Public section available for everyone.
BI-Reporting
27. Trusted Third Party: encryption (data and message) and
pseudonymisation by eHealth platform;
Secure DWH: strict user & access management (Only HD
staff);
Privacy: “register” & “analysis” specific encoding of
identifiers (by HD);
Auditable: logs of who has seen what, how and when
(IBM InfoSphere Guardium) + web portal access by
Security officers;
HD Security officer (Ir. Nand Staes) and responsible MD
(Dr. Michel Legrand);
End-to-End PEN tests by independent specialists;
Data center: FOD ECO-DGSEI: Contract & SLA available.
Security
28. 80 registers = > 8000 variables: need for standards!
Clinical Building Blocks: introduction of a national minimal set
of stable, structured, specialism independent, technical neutral,
and reusable data specifications for (hospital) EPD. Collaboration
with NICTIZ & NFU.
SNOMED-CT: Prioritized standard for Lists of Values (LOV’s) in
Clinical Building Blocks.
Terminology
29. Variables needed for
scientific research
question
healthdata.be
data we care for
Signalitics, typical available in
authentic sources
Information needed in context of
continuity of care or internal
administration
Information mostly not
available in primary systems
EPD, HIMS, LIMS, …)
The challenge for scientific data collection
Register A
Register B
Register C
Register D
Clinical building blocks
healthdata.be
data we care for
31. N=80
N=14
Building block
No building block
N=16
15
14
14
8
3
2221111
be.en.hd.TransferProcedure be.en.hd.MedicationPrescription
be.en.hd.TransferConcern be.en.hd.TransferLaboratoryResults
be.en.hd.Patient be.en.hd.Smoking
be.en.hd.Encounter be.en.hd.MedicalEquipment
be.en.hd.BloodPressure be.en.hd.Caregiver
be.en.hd.CareProvider be.en.hd.BodyWeight
be.en.hd.BodyHeight
Potential use of Building
Blocks in registry X
Type of Building Blocks that
could be used in registry X
Exploratory exercise use of
Clinical Building Blocks (CBB’s) in a real registry
healthdata.be
data we care for
32. Exploratory exercise use of
Clinical Building Blocks (CBB’s) in a real registry
healthdata.be
data we care for
33. 33
2014-2017: focus on redesign of 42 existing registers
managed by WIV-ISP and RIZIV;
Examples: Rare diseases, HIV-AIDS, Diabetes, Influenza,
Common childhood vaccine-preventable infectious diseases,
Nosocomial infections, Medical devices (pacemakers, stents,
hip & knee, …), Rheumatoid arthritis …
3 ‘Waves’: 2014-2015(Q2); 2015-2016(Q2); 2016-2017(Q)
(see www.healthdata.be); Based on objective complexity
criteria and policy priorities
Actualization of planning possible because of new priorities
and urgencies. ==> NEW: Anatomic Pathologists towards
Belgian Cancer Register
Planning
35. HD Staff 2015
FTE = 15.28
N = 20
0
5
10
15
20
25
30
2 teams (“Data collection” & “Data warehousing”) with project leaders, business analyst,
functional analysts, technical architects, developers, statisticians, test engineers, support officer,
security officer, responsible MD
36. Alignment with Action plan eHealth 2013-2018;
Define procedures and criteria for start of new registers
and the continuation of existing registers, with focus on
reduction of registration burden;
Evaluation and prioritisation new proposed projects;
Follow-up of Small Cell Risk Analyses (Statistical Disclosure
Control);
Service Level Objectives;
Budget control.
HD SteerCo
37. Healthdata SteerCo: Composition
Chair, not entitled to vote:
Chief civil servant (R De Ridder)
Members entitled to vote:
4 independent physicians (J Kips, P De Plaen, G De Moor, H Vanpottelbergh, P
Kelchtermans, P Vollemaere , H De Nutte, G Van Pottelbergh)
2 physician –scientists (P Cosyns , F Meunier, B Himpens, Y Englert)
2 physicians from health insurance institutions (P Berkein , M Callens)
3 experts medical informatics (E Bellon, A Vandenberghe, T Fiers)
2 repr. of patients (L De Bot, M Fierens, B Pirsoul, R Heijlen)
Members not entitled to vote:
1 repr. of NIDHI (N Marly, P Meeus)
1 repr. of FPS Health (C Decoster, I Mertens)
1 repr. of KCE (S Devriese)
1 repr. of eHealth-platform (F Robben, T Duvillier)
1 repr. of each regional and community government (E Hendrickx, H De Kind)
Project leader healthdata (J van Bussel, J Kips)
healthdata.be
data we care for
For each effective member, there is 1 deputy memberhealthdata.be
data we care for
38. Data providers remain owner of their data, unless
otherwise agreed upon in convention between Parties;
Requestor of Registry, or designated third party is
owner of the ensemble of data in Registry, unless
otherwise agreed upon in convention between Parties;
Re-use of data only if positive advise owner and
Sectorial Committee Health
Included in Collaboration Agreement RIZIV-WIV
Ownership
40. Technical vs thematic onboarding
4
Technical onboarding:
• Once for each hospital
• Can be re-used by related labs
• People involved: IT + Healthdata
Thematic onboarding:
• Once for every registry at every hospital
• People involved: Data provider (IT, Medical, Admin)
+ project owners (lead) + HD (support)
HD4DP
Reg 1 Reg 2 Reg 3
41. Technical vs thematic onboarding
4
Technical onboarding:
• Once for each hospital
• Can be re-used for related labs
• People involved: IT + Healthdata
Thematic onboarding:
• Once for every registry at every hospital
• People involved: Data provider (IT, Medical, Admin)
+ project owners (lead) + HD (support)
HD4DP
Reg 1 Reg 2 Reg 3
42. Type of data provider Target deadline
All General and academic hospitals 06/2016
All Medical Laboratories 12/2016
All Psychiatric hospitals 06/2017
All General Practitioners 12/2017
Technical onboarding : Targets
As published in the Evaluation Action Plan eHealth 2013-2018:
Revision Action Point 18: “Inventory & Consolidation of Registries
Official proclamation dd. 14.10.2015 by IMC public health
43. Deployment HD4DP in Belgian general and academic hospitals
2015
week
46
: HD4DP installed
: To-do
44. HIS, LIMS, EPD, … of
data provider
HD4DP
eHBox client
software
eHBox
ETK –
encryption module
+
By 3rd party
OR Development
Cookbook
+
+
+
• Encryption module & file interface
• Cookbook available
• Short development process
Re-use of information by extracting structured info
from primary system and uploading in HD4DP
Goal is to evolve towards extracting all
necessary information from primary systems
and move away from manual data entry
(eHealth roadmap 2013-2018)
OR Development
Cookbook
Technical building blocks @ data provider
healthdata.be
data we care for
44
45. HD4DP
HIS, LIMS, EPD, … of
data provider
X-Connect eHBox
client software
eHBox
X-Connect ETK –
encryption module
+
+
+
+
ACTH
(RSW/FRATEM)
X-connect
HIS, LIMS, EPD, … of
data provider
eHBox client
software
eHBox
ETK –
encryption module
+
+
+
+
Medibridge,
HealthConnect
Medimail,UM,Hector
HD4DP
Integration in existing software (in progress)
healthdata.be
data we care for
HD4DP
KWS
NEXUZ eHBox
client software
eHBox
NEXUZ ETK –
encryption module
+
+
+
+
NEXUZ
Health
46. Technical onboarding
Nr Responsible Action
1 Hospital IT Prepare installation HD4DP
• Server machine
• Server connection
• User management
• Connection to national registry
• Connection to eHealthBox
Summarized in installation sheet
2 Healthdata.be Install & configure HD4DP
3 Hospital IT Install encryption module
Submit test registration
4 Healthdata.be Confirm successful installation & configuration
Technical onboarding
47. Nr Responsible Action
1 Hospital IT Prepare installation HD4DP
2 Healthdata.be Install & configure HD4DP
• Once installation sheet is filled and sent to
healthdata@wiv-isp.be, we will contact you and
schedule a date for the installation
• We ask you to have someone standby during the
installation in case of problems
3 Hospital IT Install encryption module
Submit test register
4 Healthdata.be Confirm successful installation & configuration
Technical onboarding
48. Technical onboarding
Nr Responsible Action
1 Hospital IT Prepare installation HD4DP
2 Healthdata.be Install & configure HD4DP
3 Hospital IT Install encryption module (EM) by either
• Buying the EM from your eHBox client vendor
• Implementing the EM according to the cookbook
Submit test registration
• To test the correct installation & configuration of
HD4DP, you will be asked to submit at least one
record of a test register.
4 Healthdata.be Confirm successful installation & configuration
Technical onboarding
49. Technical onboarding
Nr Responsible Action
1 Hospital IT Prepare installation HD4DP
2 Healthdata.be Install & configure HD4DP
3 Hospital IT Install encryption module
Submit test registration
• To test the correct installation & configuration of
HD4DP, you will be asked to submit at least one
record of a test registration.
4 Healthdata.be Confirm successful installation & configuration
• Healthdata.be will contact you to confirm the
successful reception of the test record(s).
Technical onboarding
50. Technical vs thematic onboarding
5
Technical onboarding:
• Once for each hospital
• Can be re-used by related labs
• People involved: IT + Healthdata
Thematic onboarding:
• Once for every registry at every hospital
• People involved: Data provider (IT, Medical, Admin)
+ project owners (lead) + HD (support)
HD4DP
Reg 1 Reg 2 Reg 3
51. Thematic Onboarding
Nr Responsible Action
1 Healthdata.be • Communicate registry content to allow pre-filling
• Send stable data (if applicable)
2 Hospital IT • Analyze pre-fill possibilities
• Implement pre-fill
• upload stable data in HD4DP (if applicable)
• Define HD4DP users
• Communicate URL HD4DP to registrating personnel
3 Hospital
Clinicians &
Researcher
• Provide training to registrating personnel
• Start registration
52. Prefill from EPD/LIMS:
how to identify which info can be re-used
More info on support.healthdata.be
http://support.healthdata.be/customer
/portal/articles/1920824-re-use-data-
from-your-primary-systems
On www.healthdata.be/dcd, you can find the technical specifications of
the information required for IQEDFoot-registration:
53. Thematic Onboarding
Nr Responsible Action
1 Healthdata.be • Communicate register content to allow pre-filling
• Send stable data (if applicable)
2 Hospital IT • Analyze pre-fill possibilities
• Implement pre-fill
• Upload stable data in HD4DP (if applicable)
• Define HD4DP users
• Communicate URL HD4DP to registrating personnel
3 Hospital
Clinicians &
Researcher
• Provide training to registrating personnel
• Start registration
54. Thematic Onboarding
Nr Responsible Action
1 Healthdata.be • Communicate register content to allow pre-filling
• Send stable data (if applicable)
2 Hospital IT • Analyze pre-fill possibilities
• Implement pre-fill
• Upload stable data in HD4DP (if applicable)
• Define HD4DP users
• Communicate URL HD4DP to registrating personnel
3 Hospital
Clinicians &
Researcher
• Provide training to registrating personnel
• Start registration
56. CSV Upload / File Poller
• Data that is available in the primary system can be injected in
HD4DP
- Manual upload via User Interface OR
- Automatic integration through file polling
- NOT all fields need to be completed to provide significant
reduction of manual work!
• Documentation:
- Re-use data from your Primary Systems:
http://support.healthdata.be/customer/portal/articles/1920824
-re-use-data-from-your-primary-systems
- Detailed information on the CSV field formats and naming
conventions: http://www.healthdata.be/dcd/#/home
healthdata.be
data we care for
57. Summary
1 technical implementation for all registries;
1 information architecture for all registries;
1 service provider for all registries;
1 set of business processes for all registries;
Max. re-use existing data (“only 1ce” registration);
Each DP can develop own strategy and priorities re. deep
integration and API’s;
Each DP has the original set of submitted data in structured
and coded (inter) national format, in 1 local database;
Each DP receives timely feedback reports within 1 reporting
environment;
==> Less administrative burden, higher efficiency, more time
for patient, higher quality of care, more time for
“research”, higher quality of research, lower costs
59. healthdata.be
data we care for
visual attention
auditory attention
somatosensory attention
Thank you for your attention!
Anderson, J. et al. “Topographic Maps of Multisensory Attention.”
PNAS 107.46 (2010): 20110–20114. PMC. Web. 31 Dec. 2014.
Johan van Bussel,
on behalf of the healthdata team
60. HD4Patients: web portal supporting patient participation in
registries (Patient Reported Outcomes & Patient Reported
Experiences);
HD4Security_Officers: web application based on API of IBM
Gardium to provide external security officers access to
logging on DWH;
HD4ALL: web application based on API of IBM Gardium to
provide all Belgian citizens following information: Is there
data about me in a Registry? Who submitted my data? Who
used my data?;
HD4NGS: generic architecture to collect, store, and make
available for scientific analysis of human Next Generation
Sequencing Data.
What’s next?
61. “Future pact for the patient with the pharmaceutical
industry” (2015)
Royal Decree 12 may 2014 “Unmet Medical Need”
=> HD Services:
Re-use of data available at datawarehouse: Private enterprises can
request access to data already available at DWH, if approval by
Registry holder, steering committee HD and sectorial committee
health.
Start new data collection project: Private enterprises can submit to
governmental body/institute a motivated proposal (cfr. Unmet
Medical Need) for implementation of new data collection. If
accepted, governmental body/institute acts as commissioner
towards healthdata.be. The enterprise becomes Registry holder
and finances the project.
HD4Industry
Editor's Notes
An
API to open form prefilled with a set existing data
API to pass full dataset & receive error message
API to pass full dataset & correct messages in form