Healthcare Link User's Guide
|
|
|
- William Russell
- 10 years ago
- Views:
Transcription
1 Healthcare Link User's Guide Clinical Research Data Capture Introduction Healthcare Link is a CDISC initiative with the overarching goals to make it easier for physicians/healthcare sites to participate in sponsored clinical research; to collect data only once (in an industry standard format for multiple downstream purposes; and, to improve data quality and patient safety ( The technical progress for Healthcare Link has largely emanated from a collaboration between CDISC and Integrating the Healthcare Enterprise (IHE). The Healthcare Link initiative aspires to create an integrated system for clinical research participation at healthcare sites, from protocol eligibility through reporting and submission. This User s Guide addresses one segment of that aspiration: clinical research data capture at healthcare sites. The current state of research data capture is illustrated by figure 1. Despite much progress, research data at healthcare sites continues to be collected through a mish-mash of paper, and various Electronic Data Capture (EDC) systems. Meanwhile the Electronic Health Record (EHR) takes its rightful place as the central application for healthcare automation. Much of the data collected for research is often already contained in the EHR, and is then duplicated on paper or EDC for research. Healthcare Link provides an integrated system that positions the EHR as the single user interface for healthcare staff supported by interoperable Figure 1 workflow automation with the EDC, which retains its important role in data capture, clinical trial automation and data curation. CDISC has worked closely with IHE's Quality, Research, and Public Health (QRPH) domain to create a set of integration profiles that creates this interoperability. The development of the healthcare link profiles was guided by these principles: CDISC Healthcare Link User s Guide Page 1 of 12
2 Use global research standards (CDISC) for research purposes; healthcare standards (HL7) for healthcare purposes. Use research systems (EDC) for research automation; healthcare systems (EHR) for healthcare automation. Respect the separate regulations that apply to healthcare and research, following 21 CFR Part 11 for research; and HIPPA for healthcare. Keep the needs of the healthcare sites in mind, integrating the workflow of site-based research activities into the EHR. Invent integration approaches that make it easy for EHR systems to support research and which preserve and expand the role of EDC systems. Unlike single application solutions such as EHRs and EDCs, Healthcare Link is by definition and by design a multi-system solution. Such integration of two or more component systems requires specifications that addresses each system's role, and defines the 'dance steps' which each system performs. Hence, this User's Guide takes different perspectives into account in order to align the complementary roles that each system plays. Each component system within Healthcare Link assumes clearly defined roles which are specified in IHE integration profiles. These IHE profiles (RFD and CRD, see Scope below), describe the roles to be played, and define the transactions that each system executes. At least three independent systems participate in the integrated Healthcare Link solution: an EHR, an EDC, and an Archive. In a particular implementation, supporting one clinical study, there can be many EHRs, but usually only one EDC, and one Archive. Conversely, a clinical site that conducts many studies for different sponsors has only one EHR, but may interact with many different EDCs. Scope The intent of this guide is not to replace the technical details for building a Healthcare Link solution by implementing the profiles, but to augment them with additional information about how the participating systems, the EHR and EDC and Archive, should approach an implementation. IHE integration profiles explain how the interoperability between EHRs and EDCs works. Links to the IHE specifications can be found here: rofiles.pdf. These IHE profiles contain both subject matter and technical information. Volume 1 of an IHE profile is intended for a non-technical audience, and includes a narrative use case that illustrates the before-state and the after-state of implementation. Volumes 2 & 3 are technical documents which allow cooperating technicians to create an interoperable solution across systems. Prospective implementers should read the specifications in their entirety. This User's Guide will not re-state the profile actor and transaction specification, but will discuss in more detail how the participating systems do the work, and the activities needed to set up a project using Healthcare Link. CDISC Healthcare Link User s Guide Page 2 of 12
3 The "dance moves" for transactions between the EHR and EDC are defined in two IHE profiles: Retrieve Form for Data-capture (RFD), which brings up the appropriate form, and Clinical Research Document (CRD), which populates the form with EHR data (when such data exist). There are more profiles within the healthcare link body of work, but RFD and CRD are the core, as well as the most mature and implementable. Together RFD and CRD allow an EHR user to fetch a partially pre-populated electronic case report form (ecrf), and to complete the form within the EHR's user interface. But since ecrf completion takes place in the middle of a research protocol execution, RFD and CRD do require protocol specific configuration. This configuration is automated by newer profiles such as Retrieve Process for Execution (RPE), but until the newer profiles are ready for implementation, this user's guide will provide the configuration details (see Roles of each system below). RFD can be implemented by itself whereas CRD, which defines the content for form prepopulation, cannot be implemented without RFD. Nextrial's Robert Barr, an early RFD implementer, explains the value of implementing RFD even without pre-population of the form: "In demonstrating the RFD profile to actual customers and partner companies, the use of RFD without pre-population has come up many times. The flexibility of the RFD profile allows us the option to create a "Lite" version of our system that a customer can use for a simple, straightforward entry point to specific forms. They may not have pre-population, but still want to surface a form at the right time and place from within their interface. They are able to utilize the existing profile and calls, allowing them direct access to our forms without going through all the login and navigation to get to that one specific form." So, RFD by itself simplifies the workflow for site data entry; but, even greater benefits come with pre-population, which is the province of CRD, and the focus of this User's Guide. Functional Description of RFD and CRD Figure 2a Figure 2 RFD and CRD, once implemented, set up a conversation between the EHR and the EDC system. The EHR and EDC, pictured as characters carrying on a phone conversation in figure 2, illustrate the first RFD transaction. The EHR system initiates the conversation by requesting the appropriate form from the EDC. This request is accompanied by a set of data elements for use in auto-population. The EDC system responds by mapping the CDISC Healthcare Link User s Guide Page 3 of 12
4 EHR data to its form and returning the partially populated form to the EHR. Taken together, this request/response exchange constitutes the eponymous retrieve in RFD. The conversation continues in figure 3, with the EHR now having displayed the pre-populated form in the EHR s user interface. The pre-population step is not intended to complete the form entirely, but to give the study coordinator a head start, and to eliminate the need to replicate data that are already available in the patient s record. The supplemental data required by the case report form must be entered by the EHR user. The form is still, essentially, the same as what an EDC would display, with the relevant controls around the data Figure 3 to be entered. In other words the form will catch egregious errors such as out of range values and mismatches between demographics and conditions, i.e. a pregnant male. The EHR does not necessarily store the data collected in service of the research study. The standard is silent on this point, but the common practice is for the EHR to allow the EDC to contain and control all data elements specific to the study, while the EHR restricts itself to data relevant to patient care. The case report form surfaces in the EHR s user interface, but retains its connection to the EDC. As such, the form is an island of research within the EHR s workflow, and the EHR can maintain an arm s length relationship to it. Upon completion of the form, the data are delivered to the EDC and also to an archive. There only remains the final step in which the EDC system acknowledges receipt of the completed form. The conversation results in completion of a case report form which combines the rigor of EDC designed forms for data capture with the convenience of integrating the functionality in one user interface, the EHR. Figure 4 gives a more technical visual of the conversation. This schematic shows the transactions between the EHR and EDC systems, and shows the independent actions required by the EHR and EDC to set up and fulfill the requirements of the transactions. Figure 4 does not CDISC Healthcare Link User s Guide Page 4 of 12
5 include the archiving step. For a complete rendering of the activities of the two systems, see the RFD and CRD profiles. Figure 4 CDISC Healthcare Link User s Guide Page 5 of 12
6 Using Healthcare Link At the clinical study level, the implementation of Healthcare Link is fundamentally no different than the implementation of data capture systems and processes commonly in place, but with the benefit of simplified process for data capture and processing for the sites. The key considerations are: Selecting tool(s) for data capture Identifying roles and processes Ensuring compliance to regulations as embodied in relevant SOPs Selecting Healthcare Link Capable Systems As presented earlier, there are three key systems needed for Healthcare Link data capture: EDC, EHR, and Archive. Many organizations conducting clinical studies will already have an EDC system in place, or will select one of the many commercially available systems. Some EDC systems will already have implemented the IHE profiles. The clinical sites involved in a study will likely have different EHRs, so a list of all EHRs to be encountered for a study must be compiled for consideration. The systems selected must meet the requirements that RFD and CRD specifies for their role, including the transactions that are sent and received among the participants. For a new implementation involving a new combination of EDC and EHR systems, testing transactions among systems selected should be part of the development process. IHE hosts annual Connectathons in North American and Europe, providing opportunities to test systems implementation of the profiles in a structured environment. More information regarding Connectathons and the schedule for Connectathons can be found at For studies that use EDC and EHR system that already have the profiles in production and can make the needed transactions, the focus can be on the study specific configuration. In addition to this, each vendor must be prepared to adapt their tested system to the exigencies of real world installations. Implementation Systems and Roles Implementers of the healthcare link approach for a particular research profile fall into three roles: one EDC, one or more EHRs, one or more archives. Role of the EDC As described in the FDA esource guidance ( nces/ucm pdf), The ecrf is a vehicle used to assemble all the data from different electronic- and paper-based systems and makes it possible to capture and organize these diverse data in a manner that satisfies the study protocol... The role of the EDC system in Healthcare Link provides the ecrf, and the EHR is the primary source of data, replacing paper-based CDISC Healthcare Link User s Guide Page 6 of 12
7 source documents. The esource guidance then calls for the source to be available for inspection, with information on the ability of the ability of the software to transfer accurate and complete data from the electronic health record into the ecrf. The implementation of Healthcare Link with the two IHE profiles RFD and CRD provides an established technical framework and details on how the data are transferred properly from EHR to the ecrf. The selected EDC system plays a major role in study specific configuration to achieve the implementation of Healthcare Link. Considerations for the role of the EDC include: 1. Ensure EDC system is compatible with the latest RFD and CRD standards, in addition to CDISC Operational Data Model (ODM) and Clinical Data Acquisition Standards Harmonization (CDASH) [ODM Certification is recommended.] 2. Review compatibility with Retrieve Process for Execution (RPE) standards as needed. 3. Work with potential sites a. Identify compatible EHRs at study sites b. Ensure EHR versions are RFD compatible 4. Work with site/ehr vendor on study configurations a. Add study ID s, Site ID, Investigator ID, as per CRD needs, and endpoints to EHR configurations b. Add study archive endpoints to EHR configurations c. Verify feature options implemented in EHR such as enrollment d. Verify security configurations between EHR and EDC systems. 5. Define CRF design and field mapping for CRF s from CRD a. Verify field mapping by site / EHR, make adjustments as needed. 6. Review relevant security configurations by site with EDC system a. User security i. SAML b. Site Security i. Certificates ii. Pre-Shared ID s c. Transaction Audit Logging i. Based upon Security considerations, setup and configuration of an Audit Repository may be necessary. 7. Site go live a. User acceptance testing of CRF mappings b. Connectivity testing c. Security verification d. User training Role of the EHR The main feature of Healthcare Link is that it moves the clinical research activities to the EHR interface. For most sites, the EHR is the central repository of all original patient data. Some data, such as those from study protocol specified assessments such as central labs, may by-pass both the EHR and entry into the ecrf, and be compiled separately for study purposes. At sites CDISC Healthcare Link User s Guide Page 7 of 12
8 with more comprehensive EHR capabilities, all such external data may also route to the EHR. As more data are consolidated in the EHR, CRD will be able to populate more of the ecrf in EDC, leaving only those assessments that are truly unique to the study to be entered as a transaction within the EHR interface through RFD. Because the EHR is inherently part of the site s operations, there will not be an opportunity to choose which EHR system to use on a study. Most of the sites conducting clinical research will also not have the ability to modify their own EHR installation. As such, the designers of RFD and CRD have worked to ease the burden of participation on the EHRs, recognizing that research support is not a core role of this healthcare application. Therefore, where ever possible, the burden of work was reserved to the EDC system. What remains are a few key steps for the EHR to participate in a Healthcare Link implementation. 1. The EHR must record several facts about the patient s involvement in a research study, as defined in CRD and in conjunction with study specific requirements in the EDC; this Enrollment content is likely to be collected and entered manually today. o Subject identifier o Study identifier o Form identifier 2. The EHR must configure the EDC endpoint for the Retrieve Form request. 3. The EHR may need to configure an endpoint for an archiver: o To be sent during the Retrieve Form request to document the transaction. o To provide a copy of the patient data as source documents. 4. The EHR should provide a trigger to summon the ecrf, and must know the form identifier. o It is expected that this trigger shall be patient specific, and thus should be able to map the EHRs patient/patient identifier to the CRD parameters: Form Identifier Subject identifier Study identifier Possibly Investigator identifier and other CRD parameters 5. The EHR must create, on demand, an export document that meets the specifications of the CRD. o This content shall be included with the Retrieve Form request as specified in CRD and RFD. 6. If required by the Security analysis, the EHR shall submit source documents prior to the Retrieve Form request. The Archiver The archiver plays the role of collecting and storing esource documents as the black box recorder of the study. The archiver captures two documents that, together, enable electronic source documentation. The first document, the CCD that the EHR exports for pre-population, documents the source of the pre-populated data elements. Since this document contains identifiable patient health information, it is essential that the archiver remains within the purview of the site. The second document, the completed form instance, shows how the pre-populated CDISC Healthcare Link User s Guide Page 8 of 12
9 data elements appear in the completed form. This second document is an exact replica of the completed ecrf as submitted to the EDC system. By comparing the EHR s export document to the submitted ecrf the provenance of the data can be inferred. The archiver is designed specifically to meet the source documentation requirements of 21 CRF 11, and the FDA esource Guidance, found here: ( UCM pdf). The key capabilities of an Archiver are: 1. Determine the reporting source for data it receives; 2. Able to receive all data elements; 3. Assurance to not alter the content of the data it receives in any way; 4. Associate all of the data elements that come from a single instance of a form with one another; 5. Create a reliable persistent copy of all of the data elements and their association with a single occurrence of a form submission; 6. Never allow any received data to be altered by anyone in any way; and 7. Provide a mechanism by which an external system can view or download a copy of the data based on some filtering criteria. The standard specifies the capabilities that are essential for source documentation but is intentionally silent on how these capabilities are packaged. This open approach allows archive developers the freedom to differentiate their product. A fully featured archive would enable source document/data verification from afar, thereby reducing or eliminating the need for onsite verification. Compliance The operating procedures and practices used in the conduct of a clinical study using EDC are well established, and it is assumed that the EDC system selected for any implementation of Healthcare Link will be compliant with the usual requirements such as: Computerized Systems Used in Clinical Investigations General Principles of Software Validation 21 CFR Part 11, Electronic Records; Electronic Signatures The added interactions with the EHR do highlight some additional considerations regarding privacy, and that the source study data are in electronic form that is not controlled under FDA requirements as EDC systems are. EHR by definition, is a system that contains protected health information and by necessity is linked to many other systems such as pharmacy and billing that cannot be covered under research guidances. Healthcare Link narrowly defines the scope of the CDISC Healthcare Link User s Guide Page 9 of 12
10 EHR and provides the proper documentation and processes that address the concerns that arise from these additional considerations. Privacy A key tenant of clinical research data is that subject data in the research database (EDC) should be masked, while data in EHR will include not only personal health information, but links to insurance and financial records, with penalties for the unauthorized release of such data. The privacy requirements have caused concerns about accessing EHR data for research purposes. However, the data being used in the study via Healthcare Link should not violate any privacy requirement. The data elements are defined and controlled by EDC via RFD, and the data being populated are extracted via CRD. As the practice within research does not include personal identifiable data other than what is customary and needed for research, there should not be any increased risk to individual privacy. Privacy for research subjects is provided through pseudonymization, whereby the study identifier is linked to the patient identifier in the EHR, but not in the research system (EDC). All Healthcare Link transactions employ only the subject identifier, providing a firewall against improper identification of the patient. Only the EHR can put the subject identifier and the patient identifier together. In cases of subject safety, the EHR can break the glass and identify the subject s patient identity according to the principle that safety trumps privacy. Privacy concerns due to unauthorized intrusion to the system are left to the individual systems. The EHR itself outside of Healthcare Link should have protective measures already in place to meet its own data privacy needs. Healthcare Link does not define what is needed for a wellprotected system as systems and technology is constantly evolving. As a preparatory step for any cross-enterprise undertaking, a Security Considerations Risk Analysis should be performed. The details of the assets, threats, and mitigations will determine the use of certificates and TLS, SAML, and Audit Logging for the communications between the systems. Supporters The Role of CDISC As the originator of the Healthcare Link initiative, CDISC is responsible for bringing the concept of EHR-enabled research to reality. CDISC continues to work with IHE s Quality, Research and Public Health (QRPH) domain to introduce new profiles and to improve existing profiles through IHE s process of testing and change proposals. In this role, CDISC, with its IHE partners, controls the pace and direction of Healthcare Link profile creation. At a more fundamental level, CDISC provides core standards that provide the foundation for the IHE research related implementations. All IHE profiles build upon existing core standards such CDISC Healthcare Link User s Guide Page 10 of 12
11 as CDISC s ODM and CDASH and HL7 s CDA. So as Healthcare Link evolves, the CDISC standards come into their own as the target of the secondary use of EHR data. In addition to its direct developmental role with IHE, CDISC assumes broad responsibility for promotion and realization of Healthcare Link s value. These processes include: Industry advocacy: CDISC, through its communications and education efforts, promotes the uptake of Healthcare Link. Matchmaking : since Healthcare Link requires collaboration among a set of EHRs, EDCs, sites, and research sponsors, CDISC seeks to align incentives to promote implementations. Regulatory advocacy: CDISC has presented healthcare link to audiences at FDA and to other regulatory agencies. Comments from FDA have been incorporated into IHE s research related profiles through the change proposal process. The Role of IHE The role of IHE in Healthcare Link is aptly described by this paragraph from the IHE Radiology User s Handbook. IHE is an initiative by healthcare providers and vendors to improve the way information systems communicate to support patient care. IHE defines Integration Profiles that use established data standards to integrate systems for effective interoperability and efficient workflow. IHE makes it possible to achieve the level of integration required in the era of the electronic health record. Each IHE Integration Profile describes a requirement for systems integration and a solution to address it. It defines functional components, called IHE Actors, by specifying in careful detail the transactions, based on standards such as CDISC and Health Level 7 (HL7), each Actor must perform. In addition to its role in developing integration profiles, IHE provides a means for software vendors to test profiles at annual Connectathons in North America and Europe. The RFD profile has been widely tested, resulting in final text status. CRD has had limited testing, and remains in trial implementation status. Perhaps the greatest value of IHE to the research community is the contact with willing collaborators from the EHR and public health sectors. RFD and the other healthcare link profiles were developed by an engaged and active community of contributors, and RFD has attracted interest beyond research, specifically in the public health and quality reporting realms. IHE s open process and evolving body of work provides a fertile field for further development. Users of this work, especially early adopters, should not view the profiles as finished products, but as an open ended effort that welcomes input. CDISC Healthcare Link User s Guide Page 11 of 12
12 Conclusion This User s Guide is intended as a general overview of Healthcare Link capabilities pertaining to data capture for clinical research. This guide in no way replaces or competes with the two IHE profiles RFD and CRD which enable clinical research data capture. Any serious interest in the topic must quickly lead to a reading of the actual profiles, the CDISC standards and a consideration of the partnerships which implementing these profiles requires. CDISC stands ready to help potential implementers to get started through education, match making, and standards advocacy. CDISC also provides a Healthcare Link course through authorized CDISC Education. CDISC Healthcare Link User s Guide Page 12 of 12
Streamlining the Flow of Clinical Trial Data: EHR to EDC to Sponsor
Streamlining the Flow of Clinical Trial : EHR to EDC to Sponsor Landen Bain Liaison to Healthcare CDISC Interchange Standards Consortium) Jane Griffin, RPh Director, Pharmaceutical Research Cerner Corporation
CDISC Journal. Healthcare Link and esource. By Landen Bain, CDISC Liaison to Healthcare. Introduction
CDISC Journal Clinical Data Interchange Standards Consortium O ctober 2011 Healthcare Link and esource By Landen Bain, CDISC Liaison to Healthcare Introduction Clinical research data follow a life cycle
CDISC and Clinical Research Standards in the LHS
CDISC and Clinical Research Standards in the LHS Learning Health System in Europe 24 September 2015, Brussels Rebecca D. Kush, PhD, President and CEO, CDISC CDISC 2015 1 CDISC Healthcare Link Goal: Optimize
Structured Data Capture (SDC) Trial Implementation
Integrating the Healthcare Enterprise 5 IHE Quality, Research, and Public Health Technical Framework Supplement 10 Structured Data Capture (SDC) 15 Trial Implementation 20 Date: October 27, 2015 Author:
The REUSE project: EHR as single datasource for biomedical research
The REUSE project: EHR as single datasource for biomedical research Naji El Fadly 1,3, Noël Lucas 2, Pierre-Yves Lastic 4, François Macary 5, Philippe Verplancke 6, Christel Daniel 1,2 1 INSERM UMRS 872,
Integrating EHR and EDC systems
Integrating EHR and EDC systems Dr. Wolfgang Summa Integration of EDC and electronic Health Records (ehr & phr) Exec. VP Europe & Asia/Pacific Dr. Wolfgang Summa OmniComm Europe GmbH22nd Annual Executive
HIMSS Interoperability Showcase 2011
Interoperability will bind together a wide network of real-time life critical data that not only transform but become healthcare. Health Information Interoperability Challenges and Integrating Healthcare
Structured Data Capture (SDC) Draft for Public Comment
Integrating the Healthcare Enterprise 5 IHE Quality, Research, and Public Health Technical Framework Supplement 10 Structured Data Capture (SDC) 15 Draft for Public Comment 20 Date: June 6, 2014 Author:
HIMSS Interoperability Showcase 2011
Interoperability will bind together a wide network of real-time life critical data that not only transform but become healthcare. Health Information Interoperability Challenges Healthcare and healthcare
The CDISC Healthcare Link Initiative
Value Proposition The CDISC Healthcare Link Initiative Spontaneous Triggered Adverse Drug Event Reporting (ASTER) In 2008, a pilot project was launched between CDISC, CRIX, Pfizer, Brigham and Women s
Use of Electronic Health Record Data in Clinical Investigations
Use of Electronic Health Record Data in Clinical Investigations Guidance for Industry DRAFT GUIDANCE This guidance document is being distributed for comment purposes only. Comments and suggestions regarding
CDISC Journal. Using CDISC ODM to Migrate Data. By Alan Yeomans. Abstract. Setting the Scene
CDISC Journal Clinical Data Interchange Standards Consortium O ctober 2011 Using CDISC ODM to Migrate Data By Alan Yeomans Abstract The migration of data from a legacy system to a new EDC system poses
Clinical Data Management (Process and practical guide) Dr Nguyen Thi My Huong WHO/RHR/RCP/SIS
Clinical Data Management (Process and practical guide) Dr Nguyen Thi My Huong WHO/RHR/RCP/SIS Training Course in Sexual and Reproductive Health Research Geneva 2012 OUTLINE Clinical Data Management CDM
Retrieve Form for Data Capture Integrating Epic with REDCap @ Duke
Retrieve Form for Data Capture Integrating Epic with REDCap @ Duke Amy Harris Nordo and Matt Gardner Duke Office of Research Informatics Supported in part by Duke s CTSA grant (UL1TR001117) Clinical Research
Structured Data Capture (SDC) The Use of Structured Data Capture for Clinical Research
Structured Data Capture (SDC) The Use of Structured Data Capture for Clinical Research July 2015 S&I Initiative Coordinator: Ed Hammond HHS/ONC Sponsor: Farrah Darbouze SDC Overview Launched in 2013 in
The Continuity of Care Document. Changing the Landscape of Healthcare Information Exchange
The Continuity of Care Document Changing the Landscape of Healthcare Information Exchange 1 Electronic Clinical Document Exchange Prior to the approval of the Continuity of Care Document (CCD) as an ANSI
The Importance of Good Clinical Data Management and Statistical Programming Practices to Reproducible Research
The Importance of Good Clinical Data Management and Statistical Programming Practices to Reproducible Research Eileen C King, PhD Research Associate Professor, Biostatistics Acting Director, Data Management
INSERT COMPANY LOGO HERE BEST PRACTICES RESEARCH
INSERT COMPANY LOGO HERE BEST PRACTICES RESEARCH Background and Company Performance Industry Challenges esource: Electronic Clinical Trial Solution Clinical trial sponsors and clinical research organizations
Transforming CliniCal Trials: The ability to aggregate and Visualize Data Efficiently to make impactful Decisions
: The ability to aggregate and Visualize Data Efficiently to make impactful Decisions www.eclinicalsol.com White Paper Table of Contents Maximizing Your EDC Investment... 3 Emerging Trends in Data Collection...
Risk based monitoring using integrated clinical development platform
Risk based monitoring using integrated clinical development platform Authors Sita Rama Swamy Peddiboyina Dr. Shailesh Vijay Joshi 1 Abstract Post FDA s final guidance on Risk Based Monitoring, Industry
Clinical Data Management (Process and practical guide) Nguyen Thi My Huong, MD. PhD WHO/RHR/SIS
Clinical Data Management (Process and practical guide) Nguyen Thi My Huong, MD. PhD WHO/RHR/SIS Training Course in Sexual and Reproductive Health Research Geneva 2013 OUTLINE Overview of Clinical Data
Rationale and vision for E2E data standards: the need for a MDR
E2E data standards, the need for a new generation of metadata repositories Isabelle de Zegher, PAREXEL Informatics, Belgium Alan Cantrell, PAREXEL, United Kingdom Julie James, PAREXEL Informatics, United
Public Health Reporting Initiative Functional Requirements Description
Public Health Reporting Initiative Functional Requirements Description 9/25/2012 1 Table of Contents 1.0 Preface and Introduction... 2 2.0 Initiative Overview... 3 2.1 Initiative Challenge Statement...
Statistical Operations: The Other Half of Good Statistical Practice
Integrating science, technology and experienced implementation Statistical Operations: The Other Half of Good Statistical Practice Alan Hopkins, Ph.D. Theravance, Inc. Presented at FDA/Industry Statistics
Using SAS Data Integration Studio to Convert Clinical Trials Data to the CDISC SDTM Standard Barry R. Cohen, Octagon Research Solutions, Wayne, PA
Using SAS Data Integration Studio to Convert Clinical Trials Data to the CDISC SDTM Standard Barry R. Cohen, Octagon Research Solutions, Wayne, PA ABSTRACT A new industry standard for clinical trials data,
Remote Monitoring of Clinical Trials and EMRs
Remote Monitoring of Clinical Trials and EMRs Sandra SAM Sather, MS, BSN, CCRA, CCRC Vice-President Clinical Pathways LLC [email protected] Lindsey Spangler, J.D. Associate Director,
Full Compliance Contents
Full Compliance for and EU Annex 11 With the regulation support of Contents 1. Introduction 2 2. The regulations 2 3. FDA 3 Subpart B Electronic records 3 Subpart C Electronic Signatures 9 4. EU GMP Annex
Single Source: Use of Patient Care Data in Support of Clinical Research. Liora Alschuler, Landen Bain, Rebecca Kush, PhD October 2003
Single Source: Use of Patient Care Data in Support of Clinical Research Liora Alschuler, Landen Bain, Rebecca Kush, PhD October 2003 Two Different Worlds Patient Care World Clinical Research World Different
BRIDGing CDASH to SAS: How Harmonizing Clinical Trial and Healthcare Standards May Impact SAS Users Clinton W. Brownley, Cupertino, CA
BRIDGing CDASH to SAS: How Harmonizing Clinical Trial and Healthcare Standards May Impact SAS Users Clinton W. Brownley, Cupertino, CA ABSTRACT The Clinical Data Interchange Standards Consortium (CDISC),
KCR Data Management: Designed for Full Data Transparency
KCR Data Management: Designed for Full Data Transparency 6% Observational 4% Phase IV 2% Device 11% Phase I 28% Phase II 49% Phase III The quality of study data relies first and foremost on the quality
Supplement to the Guidance for Electronic Data Capture in Clinical Trials
Supplement to the Guidance for Electronic Data Capture in Clinical Trials January 10, 2012 Drug Evaluation Committee, Japan Pharmaceutical Manufacturers Association Note: The original language of this
Simplifying the Interface Challenge in Healthcare. Healthcare Software Provider or Medical Device Manufacturer s Approach to Healthcare Integration
Simplifying the Interface Challenge in Healthcare Healthcare Software Provider or Medical Device Manufacturer s Approach to Healthcare Integration Providers, application software developers, and medical
CLINICAL DATA MONITORING PLAN (CDMoP) PROTOCOL # [0000] [TITLE]
CLINICAL DATA MONITORING PLAN (CDMoP) PROTOCOL # [0000] [TITLE] CONTRACT RESEARCH ORGANIZATION SPONSOR [NAME] [ADDRESS] 1 TABLE OF CONTENTS 1. Purpose 3 2. References 3 3. Study Roles and Responsibilities
Data Provenance. Functional Requirements Document: Developed in Response to the Data Provenance Task Force Recommendations. Version 1.
Data Provenance Functional Requirements Document: Developed in Response to the Data Provenance Task Force Recommendations Version 1.0 May 2015 Version History Version Revision Author Description of Change
EHR/CR Functional Profile Working Group eclinical Forum, PhRMA EDC/eSource Task Force
Electronic Health Records/Clinical Research EHR/CR User Requirements Document (Release 1, Feb 24 2008) EHR/CR Functional Profile Working Group eclinical Forum, PhRMA EDC/eSource Task Force Co-Chairs John
Structured Data Capture (SDC) Initiative
Structured Data Capture (SDC) Initiative Overview for the S.M.A.R.T. Informatics Think Tank Evelyn Gallego-Haag, MBA, CPHIMS Initiative Coordinator [email protected] Title Introduction Background
Volume 2 Compliance Process
Ministry of Health Services Professional and Software Compliance Standards Volume 2 Compliance Process Version 2.1 November 21, 2003 Author: healthnetbc Creation Date: September 30, 1999. Last Updated:
Inpatient EHR. Solution Snapshot. The right choice for your patients, your practitioners, and your bottom line SOLUTIONS DESIGNED TO FIT
Inpatient EHR The right choice for your patients, your practitioners, and your bottom line SOLUTIONS DESIGNED TO FIT Our customers do more than save lives. They re helping their communities to thrive.
EHR Interoperability Framework Overview
Hospital Health Information System EU HIS Contract No. IPA/2012/283-805 Final version July 2015 Visibility: Public Target Audience: EHR Developers EHR Administrators EPR Systems Developers This document
End-to-End E-Clinical Coverage with Oracle Health Sciences InForm GTM
End-to-End E-Clinical Coverage with InForm GTM A Complete Solution for Global Clinical Trials The broad market acceptance of electronic data capture (EDC) technology, coupled with an industry moving toward
COCIR* position on the certification of Healthcare IT product interoperability
EUROPEAN COORDINATION COMMITTEE OF THE RADIOLOGICAL, ELECTROMEDICAL AND HEALTHCARE IT INDUSTRY COCIR Position Paper COCIR* position on the certification of Healthcare IT product interoperability The objective
REGULATIONS COMPLIANCE ASSESSMENT
ALIX is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation. REGULATIONS COMPLIANCE ASSESSMENT BUSINESS
Use of Electronic Health Records in Clinical Research: Core Research Data Element Exchange Detailed Use Case April 23 rd, 2009
Use of Electronic Health Records in Clinical Research: Core Research Data Element Exchange Detailed Use Case April 23 rd, 2009 Table of Contents 1.0 Preface...4 2.0 Introduction and Scope...6 3.0 Use Case
Guidance for Industry
Guidance for Industry Electronic Source Data in Clinical Investigations U.S. Department of Health and Human Services Food and Drug Administration Center for Drug Evaluation and Research (CDER) Center for
Streamlining the drug development lifecycle with Adobe LiveCycle enterprise solutions
White paper Streamlining the drug development lifecycle with Adobe LiveCycle enterprise solutions Using intelligent PDF documents to optimize collaboration, data integrity, authentication, and reuse Table
Guidance for Industry COMPUTERIZED SYSTEMS USED IN CLINICAL TRIALS
Guidance for Industry COMPUTERIZED SYSTEMS USED IN CLINICAL TRIALS U.S. Department of Health and Human Services Food and Drug Administration Center for Biologic Evaluation and Research (CBER) Center for
Guidance for Industry Computerized Systems Used in Clinical Investigations
Guidance for Industry Computerized Systems Used in Clinical Investigations U.S. Department of Health and Human Services Food and Drug Administration (FDA) Office of the Commissioner (OC) May 2007 Guidance
EHR integration could change the game for clinical research
October 2011 A CenterWatch Article Reprint Volume 18, Issue 10 EHR integration could change the game for clinical research Benefits include faster data entry, validation, easier AE reporting By Sue Coons
INTRODUCTION. This book offers a systematic, ten-step approach, from the decision to validate to
INTRODUCTION This book offers a systematic, ten-step approach, from the decision to validate to the assessment of the validation outcome, for validating configurable off-the-shelf (COTS) computer software
Benefits of Image-Enabling the EHR
Benefits of Image-Enabling the EHR MU2 Implications for Hospitals, Imaging Providers and EHR Vendors A Merge Healthcare Whitepaper Introduction Meaningful Use (MU) Stage 2 has new requirements for imaging
SINTERO SERVER. Simplifying interoperability for distributed collaborative health care
SINTERO SERVER Simplifying interoperability for distributed collaborative health care Tim Benson, Ed Conley, Andrew Harrison, Ian Taylor COMSCI, Cardiff University What is Sintero? Sintero Server is a
The Next Generation Clinical Trial Management Platform. TranSenda is now a part of. White Paper June 2010
TranSenda is now a part of The Next Generation Clinical Trial Management Platform White Paper June 2010 Written by Robert Webber Vice-President, Clinical Trial Management Systems, BioClinica, Inc. Is Anything
Reflection paper on expectations for electronic source data and data transcribed to electronic data collection tools in clinical trials
09 June 2010 EMA/INS/GCP/454280/2010 GCP Inspectors Working Group (GCP IWG) Reflection paper on expectations for electronic source data and data transcribed to electronic data collection tools in clinical
IBM Rational systems and software solutions for the medical device industry
IBM Software August 2011 IBM Rational systems and software solutions for the medical device industry Improve processes, manage IEC 61508 and IEC 62304 standards, develop quality products Highlights Manage
Understanding CDISC Basics
Trends in Bio/Pharmaceutical Industry Understanding CDISC Basics Jane Ma Abstract Data standards can make data and its associated program more portable. The CDISC (Clinical Data Interchange Standards Consortium)
Nova Southeastern University Standard Operating Procedure for GCP. Title: Electronic Source Documents for Clinical Research Study Version # 1
Nova Southeastern University Standard Operating Procedure for GCP Title: Electronic Source Documents for Clinical Research Study Version # 1 SOP Number: OCR-RDM-006 Effective Date: August 2013 Page 1 of
FDA Regulation of Electronic Source Data in Clinical Investigations
FDA Regulation of Electronic Source Data in Clinical Investigations Q1 Productions Second Annual Innovations in Clinical Data Management Conference, Arlington, VA Mahnu Davar Presented on Oct. 28, 2014
Guidance for Industry
Guidance for Industry Electronic Source Data in Clinical Investigations DRAFT GUIDANCE This guidance document is being distributed for comment purposes only. Comments and suggestions regarding this draft
HIE Services & Pricing
Services Available at No Cost Health Information Exchange Services & Pricing Package Effective: December 11, 2015 0 Interface Connection Details Services Available at No Cost HealthlinkNY Web Portal The
The Impact of 21 CFR Part 11 on Product Development
The Impact of 21 CFR Part 11 on Product Development Product development has become an increasingly critical factor in highly-regulated life sciences industries. Biotechnology, medical device, and pharmaceutical
HIE Services & Pricing
Services Available at No Cost Health Information Exchange Services & Pricing Package Services Available at No Cost Services Available at No Cost HealthlinkNY Web Portal The HealthlinkNY Web Portal is available
rsdm and 21 CFR Part 11
rsdm and 21 CFR Part 11 Meeting the 21 CFR Part 11 Burden without Overburdening The right solutions for smaller biopharma. Nothing more. Nothing less. Prepared by: Ken VanLuvanee www.virtualregulatorysolutions.com
Advanced Forms Automation and the Link to Revenue Cycle Management
Advanced Forms Automation and the Link to Revenue Cycle Management Chris Joyce Director of Healthcare Solutions Engineering Today s healthcare providers are facing growing financial pressures that can
Server Monitoring: Centralize and Win
Server Monitoring: Centralize and Win Table of Contents Introduction 2 Event & Performance Management 2 Troubleshooting 3 Health Reporting & Notification 3 Security Posture & Compliance Fulfillment 4 TNT
Changing Trends In Healthcare Information Management and Electronic Health Records
Telegenisys Outsourcing Excellence White Paper Changing Trends In Healthcare Information Management and Electronic Health Records Table of Contents POSITIONING STATEMENT 3 PRESIDENTIAL PROPOSALS 2008 AN
Integrating the Healthcare Enterprise (IHE) What it is, where we are, and why it is important
Integrating the Healthcare Enterprise (IHE) What it is, where we are, and why it is important Darcy Del Dotto June 2014 Introduction The healthcare industry has always been a changing and developing field.
Management of Imaging Data in Clinical Trials: John Sunderland, Ph.D. Department of Radiology University of Iowa
Management of Imaging Data in Clinical Trials: Storage John Sunderland, Ph.D. Department of Radiology University of Iowa Overview: Data Storage: What You Need to Store Data Storage: How You Need to Store
SCHEDULE "C" to the MEMORANDUM OF UNDERSTANDING BETWEEN ALBERTA HEALTH SERVICES AND THE ALBERTA MEDICAL ASSOCIATION (CMA ALBERTA DIVISION)
SCHEDULE "C" to the MEMORANDUM OF UNDERSTANDING BETWEEN ALBERTA HEALTH SERVICES AND THE ALBERTA MEDICAL ASSOCIATION (CMA ALBERTA DIVISION) ELECTRONIC MEDICAL RECORD INFORMATION EXCHANGE PROTOCOL (AHS AND
Datto Compliance 101 1
Datto Compliance 101 1 Overview Overview This document provides a general overview of the Health Insurance Portability and Accounting Act (HIPAA) compliance requirements for Managed Service Providers (MSPs)
Organization Profile. IT Services
Introduction In today s scientific and medical world, various issues in clinical trials and research have permeated every society and every field in medicine. Ethics and in particular the quality of research
Integration of EHRs with CDISC, CDASH and ODM A European Initiative
Budapest, Hungary 22nd 23rd April 2009 Session 2 11:00-12:30 European perspective of EHR integration Chair: Udo Siegmann (Parexel) Integration of EHRs with CDISC, CDASH and ODM A European Initiative Jozef
PharmaSUG 2016 Paper IB10
ABSTRACT PharmaSUG 2016 Paper IB10 Moving from Data Collection to Data Visualization and Analytics: Leveraging CDISC SDTM Standards to Support Data Marts Steve Kirby, JD, MS, Chiltern, King of Prussia,
ECG Management. ScImage Solution Series. The Challenges: Overview
ECG Management Processes and Progress Overview The Challenges: Provide ubiquitous access to ECG s across the enterprise, while delivering role-based functionality based on clinical requirements, with the
CoSign for 21CFR Part 11 Compliance
CoSign for 21CFR Part 11 Compliance 2 Electronic Signatures at Company XYZ Company XYZ operates in a regulated environment and is subject to compliance with numerous US government regulations governed
ConnectVirginia EXCHANGE Onboarding and Certification Guide. Version 1.4
ConnectVirginia EXCHANGE Onboarding and Certification Guide Version 1.4 July 18, 2012 CONTENTS 1 Overview... 5 2 Intended Audience... 5 3 ConnectVirginia Background... 5 3.1 Federated... 5 3.2 Secure...
GCP INSPECTORS WORKING GROUP <DRAFT> REFLECTION PAPER ON EXPECTATIONS FOR ELECTRONIC SOURCE DOCUMENTS USED IN CLINICAL TRIALS
European Medicines Agency London, 17 October 2007 Doc. Ref. EMEA/505620/2007 GCP INSPECTORS WORKING GROUP REFLECTION PAPER ON EXPECTATIONS FOR ELECTRONIC SOURCE DOCUMENTS USED IN CLINICAL TRIALS
Things You Need in AP Automation
Things You Need in AP Automation ME LIKE! Let s Start! Accounts payable processing has long been one of the most document- and laborintensive operations a company undertakes. It s riddled with manual data
Standards and Interoperability: The DNA of the EHR
Standards and Interoperability: The DNA of the EHR Messaging Terminology Information Security Electronic Health Record Task Force Monday, March 6, 2006 Joyce Sensmeier MS, RN, BC, CPHIMS, FHIMSS - Vice
HL7 and Meaningful Use
HL7 and Meaningful Use Grant M. Wood HL7 Ambassador HIMSS14 2012 Health Level Seven International. All Rights Reserved. HL7 and Health Level Seven are registered trademarks of Health Level Seven International.
Role of EMRs in Patient Registries & Other Post- Marketing Research
Role of EMRs in Patient Registries & Other Post- Marketing Research David Thompson, PhD Dan Levy, MS 29 March 2013 Copyright 2013 Quintiles Your Presenters David Thompson, PhD Senior Vice President and
CDISC Roadmap Outline: Further development and convergence of SDTM, ODM & Co
CDISC Roadmap Outline: Further development and convergence of SDTM, ODM & Co CDISC Ausblick: Weitere Entwicklung und Konvergenz der CDISC-Standards SDTM, ODM & Co. Jozef Aerts - XML4Pharma Disclaimer Views
REQUEST FOR INFORMATION (RFI) Health Interface Engine Solution
City of Philadelphia Department of Public Health 1401 JFK Blvd Suite 600 Philadelphia, PA 19102 REQUEST FOR INFORMATION (RFI) This document contains a Request for Information (RFI) for an interface engine
Data Management and Good Clinical Practice Patrick Murphy, Research Informatics, Family Health International
Data Management and Good Clinical Practice Patrick Murphy,, Family Health International 1 What is GCP? Good Clinical Practice is an international ethical and scientific quality standard for designing,
Mitchell WorkCenter. (m)powered. Realize significant improvements across your. physical damage claims processing environment.
Realize significant improvements across your physical damage claims processing environment. (m)powered the mitchell extended enterprise PLATFORM. Mitchell s single underlying technology platform enables
An Introduction to Electronic Data Capture Software. Learn the basics to find the right system for your needs
An Introduction to Electronic Data Capture Software Learn the basics to find the right system for your needs By Forte Research Systems Software to fit your clinical research needs Cloud-based clinical
Role of eclinical Systems in FDA Regulated Studies. Jonathan S. Helfgott
Role of eclinical Systems in FDA Regulated Studies Presented by: Jonathan S. Helfgott Operations Research Analyst Office of Scientific Investigations Disclaimer The contents of this presentation are my
IHE IT Infrastructure Technical Framework Supplement. On-Demand Documents. Trial Implementation
Integrating the Healthcare Enterprise 5 IHE IT Infrastructure Technical Framework Supplement 10 On-Demand Documents 15 Trial Implementation 20 Date: October 25, 2013 Author: ITI Technical Committee Email:
Managing and Integrating Clinical Trial Data: A Challenge for Pharma and their CRO Partners
Managing and Integrating Clinical Trial Data: A Challenge for Pharma and their CRO Partners Within the Pharmaceutical Industry, nothing is more fundamental to business success than bringing drugs and medical
Practical Considerations for Clinical Trial Sites using Electronic Health Records (EHRs) in support of Clinical Research
Practical Considerations for Clinical Trial Sites using Electronic Health Records (EHRs) in support of Clinical Research Addressing Regulatory Considerations (Release 1.0 April 2, 2009) EHRCR (Electronic
