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.
Presentation project healthdata.be for hospitals in Limburg (dd. 2015.11.30.)...healthdata be
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.
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
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.
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.
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.
Presentation project healthdata.be for hospitals in Limburg (dd. 2015.11.30.)...healthdata be
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.
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
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.
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.
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.
The document discusses electronic claim objects to support India's health insurance sector. It proposes using standardized electronic objects based on FHIR resources to enable interoperable and automated claim processing. This would allow faster claims processing, reduced costs, and improved data for monitoring. The electronic objects would include minimum required coded data elements in a JSON format to represent claims, payments, and clinical summaries like discharge records.
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
Overview of Estonian Health Information System Igor Bossenko
The document provides an overview of the Estonian Health Information System and Health and Welfare Information Systems Centre. It discusses HWISC's responsibilities in developing information systems and ensuring information security. It also outlines some of the main eHealth services in Estonia like the electronic health record, e-prescription, and digital imaging. The document highlights how Estonia's eHealth system copies the model of its e-government system in using the X-Road secure communication network and ID cards for authentication.
Corporate Profile and Integrated Health NetworkZamir Uddin
Pragmedic aims to transform healthcare through information management technology by creating a seamless continuum of care. Its mission is to become a market leader in healthcare software through leveraging IT to integrate consumers and providers. Pragmedic offers various solutions including an electronic health record, practice management, transcription services, and a healthcare community management solution to improve operational performance with minimal implementation and training requirements.
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.
Simplifying Medical Records Review ProcessKartheek Kein
Medical summarization service gives a summary of patient's medical records in a healthy straightforward frame.
For a decade, the MDS market could be said to be growing market on an anticipated direction. Few things you need to think about term of medical records summary.
Know more about MDS @https://goo.gl/EKBpK6
This document describes a proposed decentralized blockchain platform called Elysium that aims to address problems with the current reliance on paper-based health systems. Elysium would allow patients and doctors to securely share certified health data in real-time. This would improve treatment and reduce costs. The platform would let patients upload old health data and track therapy adherence, while giving doctors AI support and a way to share certified data with healthcare facilities.
Digital health is about electronically connecting up the points of healthcare so that health information can be shared securely.
This is the first step to understanding how digital health can help deliver safer, better and quality healthcare.
“My Health Record” is the new name of the digital health record system.
Why Do Federally Qualified Health Centers Need A Referral Management Software...GaryRichards30
Federally Qualified Health Centers are using an EMR/EHR system to manage patient records. EMR/EHR system is good but are they built to manage patient referrals? How can a patient referral management software work in cohesion?
CDSS implementation with CDA generation and integration for health informatio...ijtsrd
Electronic health record helps to improve the safety and quality care of every individual patient details, that to be stored in various hospital through health information exchange. The clinical document architecture(CDA) developed by Health level seven(HL7) is core document standard that ensure interoperability of the document. Hospitals are reluctant to adopt interoperable hospital information system due to its deployment cost except for in a handful countries. A problem arises even when more hospitals start using the CDA document format because the data scattered in different documents are hard to manage. CDA document generation and integration Service based on cloud computing through which hospitals are enabled to conveniently generate CDA document per patient into a single CDA document and physician and patients can browse the clinical data in chronological order. To improve the accuracy and speed of diagnosis, health care system is important to provide the faster and efficient way. A clinical decision support system (CDSS) is a health information technology system that is designed to provide physicians and other health professionals with clinical decision support (CDS), that is assistance with clinical decision “making tasks. The system is designed by using various data mining techniques to assist the diagnosis of patients symptoms. Our system is designed with the help of Naïve Bayesian classification technique which has overcome the various data mining technique to diagnose the patient symptoms. The Naïve Bayesian classification technique provide the diagnosis of disease with the help of symptoms occurs to the patient .œClinical decision support systems link health observations with health knowledge to influence health choices by clinicians for improved health. Our system implement (CDSS) clinical decision support system looking towards the system CDSS clinical decision support system diagnose the diseases of the patient and also the CDA is generated which will be in XML form and also it can be integrated through various platforms. With the help of this system the time of patient would be saved and accurate diagnoses of the patient is done. Pooja N. Umekar | Dr. H R. Deshmukh | Prof. O. A. Jaisinghani | Prof S.V. Khedkar"CDSS implementation with CDA generation and integration for health information exchange in cloud" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14127.pdf http://www.ijtsrd.com/engineering/computer-engineering/14127/cdss-implementation-with-cda-generation-and-integration-for-health-information-exchange-in-cloud/pooja-n-umekar
Pavel Smirnov, Health Samurai - FHIR business opportunitiesHealthDev
Pavel analyzes and explains business opportunities created by the FHIR standard such as Patient Access to Data, Extending existing health records solutions, Development of new FHIR-first solutions, Data Analytics, and FHIR tooling.
He also makes an introduction to the FHIR meetups in the Bay Area.
iUZ has organised last 3rd July a talk about Cross-Border Interoperability and we've broadcasted live on Youtube.
This is the presentation document.
You can watch the event through our Youtube channel: http://youtu.be/k1KLgD8GF3Q
IRJET-Cloud based Patient Referral System with RFID Based Clinical Informatio...IRJET Journal
This document summarizes a proposed cloud-based patient referral system with RFID-based clinical information retrieval for emergency cases. The system allows patients to directly communicate with remotely located healthcare professionals to schedule appointments, saving both time and money. It also integrates RFID technology to provide doctors with unconscious or unaccompanied patients' accurate medical histories in emergency situations, making treatment more efficient and reducing risks. The system architecture includes an Android app for patients and doctors to register and access services, a cloud database to store medical records, RFID tags and readers to retrieve records during emergencies, and other components like Arduino and WiFi modules to process and transmit RFID data. The goal is to improve healthcare access, efficiency and
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.
The document discusses remote decision support using CDS Hooks. It describes how CDS Hooks allow external clinical decision support (CDS) services to be invoked by an EHR via standardized API calls. When triggered, CDS services can evaluate patient data, apply logic, and return decision support cards to the EHR to display. Examples of common CDS cards like suggestions, information, and links to apps are provided. The specification aims to enable remote CDS in a vendor-agnostic way and is gaining widespread participation.
HealthKit is a framework that allows healthcare and fitness apps to store user data in one place within the Health app. It defines standard data types and units to ensure consistency. User data includes characteristic, sample, and workout information. Privacy is protected through permissions that control what each app can access. Clinical records can also be downloaded from healthcare providers in FHIR format. CareKit is an open source framework for building apps to help users manage health conditions and care plans. ResearchKit enables creating apps for medical research studies that can access HealthKit data. Google Fit is a similar platform for Android that aggregates fitness data from multiple sources.
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.
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.
The document discusses electronic claim objects to support India's health insurance sector. It proposes using standardized electronic objects based on FHIR resources to enable interoperable and automated claim processing. This would allow faster claims processing, reduced costs, and improved data for monitoring. The electronic objects would include minimum required coded data elements in a JSON format to represent claims, payments, and clinical summaries like discharge records.
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
Overview of Estonian Health Information System Igor Bossenko
The document provides an overview of the Estonian Health Information System and Health and Welfare Information Systems Centre. It discusses HWISC's responsibilities in developing information systems and ensuring information security. It also outlines some of the main eHealth services in Estonia like the electronic health record, e-prescription, and digital imaging. The document highlights how Estonia's eHealth system copies the model of its e-government system in using the X-Road secure communication network and ID cards for authentication.
Corporate Profile and Integrated Health NetworkZamir Uddin
Pragmedic aims to transform healthcare through information management technology by creating a seamless continuum of care. Its mission is to become a market leader in healthcare software through leveraging IT to integrate consumers and providers. Pragmedic offers various solutions including an electronic health record, practice management, transcription services, and a healthcare community management solution to improve operational performance with minimal implementation and training requirements.
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.
Simplifying Medical Records Review ProcessKartheek Kein
Medical summarization service gives a summary of patient's medical records in a healthy straightforward frame.
For a decade, the MDS market could be said to be growing market on an anticipated direction. Few things you need to think about term of medical records summary.
Know more about MDS @https://goo.gl/EKBpK6
This document describes a proposed decentralized blockchain platform called Elysium that aims to address problems with the current reliance on paper-based health systems. Elysium would allow patients and doctors to securely share certified health data in real-time. This would improve treatment and reduce costs. The platform would let patients upload old health data and track therapy adherence, while giving doctors AI support and a way to share certified data with healthcare facilities.
Digital health is about electronically connecting up the points of healthcare so that health information can be shared securely.
This is the first step to understanding how digital health can help deliver safer, better and quality healthcare.
“My Health Record” is the new name of the digital health record system.
Why Do Federally Qualified Health Centers Need A Referral Management Software...GaryRichards30
Federally Qualified Health Centers are using an EMR/EHR system to manage patient records. EMR/EHR system is good but are they built to manage patient referrals? How can a patient referral management software work in cohesion?
CDSS implementation with CDA generation and integration for health informatio...ijtsrd
Electronic health record helps to improve the safety and quality care of every individual patient details, that to be stored in various hospital through health information exchange. The clinical document architecture(CDA) developed by Health level seven(HL7) is core document standard that ensure interoperability of the document. Hospitals are reluctant to adopt interoperable hospital information system due to its deployment cost except for in a handful countries. A problem arises even when more hospitals start using the CDA document format because the data scattered in different documents are hard to manage. CDA document generation and integration Service based on cloud computing through which hospitals are enabled to conveniently generate CDA document per patient into a single CDA document and physician and patients can browse the clinical data in chronological order. To improve the accuracy and speed of diagnosis, health care system is important to provide the faster and efficient way. A clinical decision support system (CDSS) is a health information technology system that is designed to provide physicians and other health professionals with clinical decision support (CDS), that is assistance with clinical decision “making tasks. The system is designed by using various data mining techniques to assist the diagnosis of patients symptoms. Our system is designed with the help of Naïve Bayesian classification technique which has overcome the various data mining technique to diagnose the patient symptoms. The Naïve Bayesian classification technique provide the diagnosis of disease with the help of symptoms occurs to the patient .œClinical decision support systems link health observations with health knowledge to influence health choices by clinicians for improved health. Our system implement (CDSS) clinical decision support system looking towards the system CDSS clinical decision support system diagnose the diseases of the patient and also the CDA is generated which will be in XML form and also it can be integrated through various platforms. With the help of this system the time of patient would be saved and accurate diagnoses of the patient is done. Pooja N. Umekar | Dr. H R. Deshmukh | Prof. O. A. Jaisinghani | Prof S.V. Khedkar"CDSS implementation with CDA generation and integration for health information exchange in cloud" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14127.pdf http://www.ijtsrd.com/engineering/computer-engineering/14127/cdss-implementation-with-cda-generation-and-integration-for-health-information-exchange-in-cloud/pooja-n-umekar
Pavel Smirnov, Health Samurai - FHIR business opportunitiesHealthDev
Pavel analyzes and explains business opportunities created by the FHIR standard such as Patient Access to Data, Extending existing health records solutions, Development of new FHIR-first solutions, Data Analytics, and FHIR tooling.
He also makes an introduction to the FHIR meetups in the Bay Area.
iUZ has organised last 3rd July a talk about Cross-Border Interoperability and we've broadcasted live on Youtube.
This is the presentation document.
You can watch the event through our Youtube channel: http://youtu.be/k1KLgD8GF3Q
IRJET-Cloud based Patient Referral System with RFID Based Clinical Informatio...IRJET Journal
This document summarizes a proposed cloud-based patient referral system with RFID-based clinical information retrieval for emergency cases. The system allows patients to directly communicate with remotely located healthcare professionals to schedule appointments, saving both time and money. It also integrates RFID technology to provide doctors with unconscious or unaccompanied patients' accurate medical histories in emergency situations, making treatment more efficient and reducing risks. The system architecture includes an Android app for patients and doctors to register and access services, a cloud database to store medical records, RFID tags and readers to retrieve records during emergencies, and other components like Arduino and WiFi modules to process and transmit RFID data. The goal is to improve healthcare access, efficiency and
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.
The document discusses remote decision support using CDS Hooks. It describes how CDS Hooks allow external clinical decision support (CDS) services to be invoked by an EHR via standardized API calls. When triggered, CDS services can evaluate patient data, apply logic, and return decision support cards to the EHR to display. Examples of common CDS cards like suggestions, information, and links to apps are provided. The specification aims to enable remote CDS in a vendor-agnostic way and is gaining widespread participation.
HealthKit is a framework that allows healthcare and fitness apps to store user data in one place within the Health app. It defines standard data types and units to ensure consistency. User data includes characteristic, sample, and workout information. Privacy is protected through permissions that control what each app can access. Clinical records can also be downloaded from healthcare providers in FHIR format. CareKit is an open source framework for building apps to help users manage health conditions and care plans. ResearchKit enables creating apps for medical research studies that can access HealthKit data. Google Fit is a similar platform for Android that aggregates fitness data from multiple sources.
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.
HCGlobal is a healthcare organization seeking to modernize its systems and processes to improve patient care, grow its business, and comply with regulations. Its goals include developing a patient-centric care model, increasing specializations, and creating world-class data and reporting capabilities. To achieve these, HCGlobal plans to modernize its IT infrastructure, improve data sharing and interoperability, and leverage technologies like personal health records, telehealth, and business intelligence. The organization aims to enhance care quality, reduce costs, and drive business value through this healthcare architecture and data-driven approach.
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.
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.
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 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.
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
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.
Hitachi provides connected health solutions across the patient care continuum from devices and data to analytics and population health management. Their portfolio includes infrastructure, clinical data exchange, mobility and analytics solutions. The goal is to improve patient outcomes by connecting stakeholders and providing actionable insights from data. Population health management is the ultimate aim of reducing healthcare costs through preventative and personalized care enabled by Hitachi's connected health offerings.
Caresoft Hospital Information System is a customizable, integrated hospital management software that offers standard, premium, and basic modules. It provides features like patient registration, billing, reporting, doctor management, lab, pharmacy, and other modules. The system aims to improve hospital management with a performance-based, intelligent approach through automation, integration, and analytics.
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)
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 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.
We have a unique profile for a CRO providing distinctive and innovative dual expertise by combining clinical research implementation with the development of customized IT applications specific to the pharmaceutical industry.
Webinar Transforming Digital Health Technologies for Patient Engagement and R...Bioclinica
The document discusses digital health technologies for patient engagement and clinical trial reporting, including Medelinked's personal health engagement platform. Medelinked allows patients to build and manage health data online and share it with their connected health network. It also discusses how Medelinked integrates with clinical trials to directly import patient data from mobile apps and EHRs into electronic data capture systems in order to streamline clinical trials and reduce manual data entry. This improves data quality and compliance with FDA electronic source data guidance.
The document discusses Access Health Digital's Social Entrepreneurship Accelerator (SEA) program and key objectives. The SEA program aims to accelerate adoption of India's National Digital Health Blueprint (NDHB) standards and drive a federated technology model across stakeholders. It will provide mentorship and technical support for implementing minimum viable products based on NDHB standards. The SEA program also aims to help position compliant products for relevant opportunities and provide early adopters with a "stamp of confidence". Access Health Digital intends to facilitate the SEA community in these areas to help transition the healthcare industry to a standardized, secure model.
eHealth BC guides electronic health initiatives in British Columbia. It was established in response to pressures to increase healthcare system efficiency and enable electronic services. The strategic framework outlines pillars like primary care, hospitals, labs, and telehealth. It also identifies foundational components and stakeholders. The service oriented architecture uses loosely coupled interoperable services and standards to allow information sharing and improve quality, safety, and access to healthcare in BC.
Similar to Presentation (2015.11.16) of healthdata.be project @ Abrumet (20)
The skin is the largest organ and its health plays a vital role among the other sense organs. The skin concerns like acne breakout, psoriasis, or anything similar along the lines, finding a qualified and experienced dermatologist becomes paramount.
- Video recording of this lecture in English language: https://youtu.be/Pt1nA32sdHQ
- Video recording of this lecture in Arabic language: https://youtu.be/uFdc9F0rlP0
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
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.
Travel Clinic Cardiff: Health Advice for International TravelersNX Healthcare
Travel Clinic Cardiff offers comprehensive travel health services, including vaccinations, travel advice, and preventive care for international travelers. Our expert team ensures you are well-prepared and protected for your journey, providing personalized consultations tailored to your destination. Conveniently located in Cardiff, we help you travel with confidence and peace of mind. Visit us: www.nxhealthcare.co.uk
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.
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.
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.
These lecture slides, by Dr Sidra Arshad, offer a simplified look into the mechanisms involved in the regulation of respiration:
Learning objectives:
1. Describe the organisation of respiratory center
2. Describe the nervous control of inspiration and respiratory rhythm
3. Describe the functions of the dorsal and respiratory groups of neurons
4. Describe the influences of the Pneumotaxic and Apneustic centers
5. Explain the role of Hering-Breur inflation reflex in regulation of inspiration
6. Explain the role of central chemoreceptors in regulation of respiration
7. Explain the role of peripheral chemoreceptors in regulation of respiration
8. Explain the regulation of respiration during exercise
9. Integrate the respiratory regulatory mechanisms
10. Describe the Cheyne-Stokes breathing
Study Resources:
1. Chapter 42, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 36, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 13, Human Physiology by Lauralee Sherwood, 9th edition
Promoting Wellbeing - Applied Social Psychology - Psychology SuperNotesPsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
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. 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
7. 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) 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
8. 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
9. Experiment
healthdata.be within the empirical cycle
Observation
Research Question
Theory Development
Conclusion(s)
Analysis
healthdata.be
data we care for
10. healthdata.be
data we care for
TaxOffice.nl/declaration
We can’t make it enjoyable, we can make it easier
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
11. 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
12. 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 (Apache License 2.0) 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;
Sectorial Committee health (Privacy commission):
Authorization (21/04/2015) generic healthdata
architecture;
eHealth-platform : Authorization (22/04/2015) generic
healthdata architecture;
Successful test installations: UZLeuven, UZAntwerpen,
UZBrussels; GZA, ZNA, UZGent, CHU Erasme, CHU Charleroi,
Inkendaal; In production since 14.09.2015.
Industry: integration HD4DP in their (messaging) software
*API: Application Programming Interface
Architecture
14. 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
16. 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
18. 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)
19. 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
19
20. 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
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 major releases of HD4DP are planned each year
22. 22
Technical onboarding: “Only Once” for every data provider
Step-by-step checklist to prep. install HD4DP, remote installation by
HD
People involved: IT data provider + HD (lead) + project owners
(support)
Thematical onboarding: “Only Once” for every registry at every
data provider
Step-by-step checklist to make people & HD4DP ready for registration
People involved: Data provider (IT, Medical, Admin) + project owners
(lead) + HD (support)
Onboarding
23. Deployment HD4DP in Belgian general and academic hospitals
2015
week
46
: HD4DP installed
: To-do
24. Type of Data provider Target
All General and academic hospitals 06/2016
All Medical Laboratories 12/2016
All Psychiatric hospitals 06/2017
All General Practitioners 12/2017
25. 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
26. 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
27. 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
29. healthdata.be
data we care for
Stable, reuseable
building blocks
that can be used in
different contexts
Care transfer
Quality
indicators
Patient
summaries
Research
30. 30
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
32. 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
33. 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
34. Ownership
!
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
35. 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
37. 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
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