Dr. Jules Mitchel, President of Target Health, delivered this presentation on the new FDA Guidance on the use of the electronic health record for clinical research at the North American eClinical Forum Autumn Meeting on October 2, 2018.
Regulatory Concerns When Running Virtual/Paperless Clinical TrialsTarget Health, Inc.
With drug and device manufacturers and the U.S. Food and Drug Administration (FDA) supplying much of the push, so-called paperless clinical trials are gaining momentum. In this eClinical Forum webinar, Dr. Jules Mitchel, President of Target Health, facilitated the discussion on the future landscape and regulatory concerns of paperless clinical trials and clinical trial design incorporating mobile tools.
A Pharma/CRO Partnership in the Design and Execution of Paperless Clinical Tr...Target Health, Inc.
DIA 2019 presentation by Dr. Jules Mitchel with Michelle Eli (Lilly) and Tom Haag (ex-Novartis) based on their experience with Lilly collaborating on Target Health's paperless clinical trial system.
NS1450X - Computerized Systems in Clinical ResearchJudson Chase
I am guest lecturer (paid) at the Boston College William F. Connell School of Nursing (more information at http://www.bc.edu/schools/son/aboutus.html).
Three or four times a year I lecture on the application of Computerized Systems in Clinical Research; this is my course deck from 2014.
Have full fleged clinical trial data management systems which bring them a good amount of business and revenue.
CDM is a fundamental process which controls data accuracy of each trial besides helping the timelessness to be achieved.
It helps in linking clinical research co-ordinator = who monitor all the sites & collects the data.
it Links with biostatisticians = who analyze, interpret and report data in clinically meaningful way.
A presentation given at the Duke Margollis Health Policy meeting in 2015 and providing insights into the current challenges related to EHR data quality. Proposes a new approach - OneSource.
Regulatory Concerns When Running Virtual/Paperless Clinical TrialsTarget Health, Inc.
With drug and device manufacturers and the U.S. Food and Drug Administration (FDA) supplying much of the push, so-called paperless clinical trials are gaining momentum. In this eClinical Forum webinar, Dr. Jules Mitchel, President of Target Health, facilitated the discussion on the future landscape and regulatory concerns of paperless clinical trials and clinical trial design incorporating mobile tools.
A Pharma/CRO Partnership in the Design and Execution of Paperless Clinical Tr...Target Health, Inc.
DIA 2019 presentation by Dr. Jules Mitchel with Michelle Eli (Lilly) and Tom Haag (ex-Novartis) based on their experience with Lilly collaborating on Target Health's paperless clinical trial system.
NS1450X - Computerized Systems in Clinical ResearchJudson Chase
I am guest lecturer (paid) at the Boston College William F. Connell School of Nursing (more information at http://www.bc.edu/schools/son/aboutus.html).
Three or four times a year I lecture on the application of Computerized Systems in Clinical Research; this is my course deck from 2014.
Have full fleged clinical trial data management systems which bring them a good amount of business and revenue.
CDM is a fundamental process which controls data accuracy of each trial besides helping the timelessness to be achieved.
It helps in linking clinical research co-ordinator = who monitor all the sites & collects the data.
it Links with biostatisticians = who analyze, interpret and report data in clinically meaningful way.
A presentation given at the Duke Margollis Health Policy meeting in 2015 and providing insights into the current challenges related to EHR data quality. Proposes a new approach - OneSource.
Real-world patients have an average of 6 serious co-morbid conditions & take 10 medications
*Complicated patients are invariably excluded from clinical research studies, making it impossible to know what treatments work best
Who needs fast data? - Journal for Clinical Studies KCR
How “no news” during the life of a trial is bad news, and what data management (among other things) can do to help when ensuring access to fast data? Get to know this and more about smart e-solutions in the newest article of Kaia Koppel, Associate Director, Biometrics & Clinical Trial Data Execution Systems at KCR, in the recent issue of Journal for Clinical Studies (p.40-21).
This presentation is based on the US FDA Workshop that I attended in Mumbai.
Pharmaceutical Industry is challenged for the Data Integrity. The reason for Data Integrity Fraud are obvious, but are overlooked. The importance of the genuine data must be accepted from the patient safety angle. There has to be a sincere attempt from the Top Management to eliminate this problem. It is trust that needs to be developed and maintained.
Real world clinical medical data. Corporate presentation of Ad Scientiam which is a startup specialized in real life data acquisition during clinical trials.
Learn more at : www.adscientiam.com
Electronic Data Capture & Remote Data CaptureCRB Tech
CRB Tech is one of the best leading Software Development Company in Pune. We are offering Software Development Services as well as IT Training including Java, Dot Net, SEO and Clinical Research training in pune.
Clinical data management (CDM) is a covered part in the clinical trial and most commonly used tools for the purpose of effectivity of clinical research
Q&A: The Internet of Everything in Clinical TrialsCRF Health
The Internet of Everything (IoE) is being applied to more sectors, including clinical trials. IPT asks Rauha Tulkki-Wilke at CRF Health how this is happening and what the effects are.
These standards are taken from the HL7 Functional Standards for an.docxbarbaran11
These standards are taken from the HL7 Functional Standards for an EHR document.
It is important to note that the Information Infrastructure standards below represent only a small portion of the entire standards.
ID
Function Name
Function Statement
Functional Description
Rationale
Your Evaluation – Discuss why the EHR meets/does not meet each standard
I.1
Information Infrastructure
I.1.1.0
EHR Information Security
Secure the EHR information.
The EHRS is required to manage EHR information securely. For this, all EHRS applications must ensure the authentication, authorization of entities (e.g. user and applications) and control access to the EHR information.
1. Support delivery of effective healthcare 2. Improve patient safety 3 Facilitate management of chronic conditions 4. Improve efficiency 5. Facilitate self-health management 6. Ensure privacy, confidentiality
I.1.1.1
Entity Authentication
Authenticate EHRS users and/or entities before allowing access to an EHRS.
Both users and application are subject to authentication. EHRS application must provide mechanisms for users and applications to be authenticated. Users will have to be authenticate when they attempt to use the application, the applications themselves must authenticate themselves before accessing EHR information managed by other application or remote EHR Systems. Examples of entity authentication are: • Username/ password • Digital certificate • Secure token • Biometrics
1. Support delivery of effective healthcare 2. Improve patient safety 3 Facilitate management of chronic conditions 4. Improve efficiency 5. Facilitate self-health management 6. Ensure privacy, confidentiality
I.1.1.5
Patient Privacy
Protect the patient’s privacy according to personal, local, and national rules.
Functionality allows for compliance with personal, local, and national rules.
1. Support delivery of effective healthcare 2. Improve patient safety 3 Facilitate management of chronic conditions 4. Improve efficiency 5. Facilitate self-health management 6. Ensure privacy, confidentiality
I.1.1.5.3
Advisement of Patient Privacy Rights
Record that the patient was informed of current privacy policies practices.
The EHRS will allow for the dispensing and tracking of patient education regarding current privacy policies and procedures.
1. Support delivery of effective healthcare 2. Improve patient safety 3 Facilitate management of chronic conditions 4. Improve efficiency 5. Facilitate self-health management 6. Ensure privacy, confidentiality
I.1.2.1
Information Integrity
Ensure that clinical information is valid according to the healthcare-specific business rules.
An important aspect of maintaining a legally sound health record is securing the record to prevent loss, tampering, or unauthorized use. The integrity of the health record may be questioned in a legal proceeding if concerns are raised about the security of paper-based or electronic records. The Rules of Evidence require an organization to h.
Real-world patients have an average of 6 serious co-morbid conditions & take 10 medications
*Complicated patients are invariably excluded from clinical research studies, making it impossible to know what treatments work best
Who needs fast data? - Journal for Clinical Studies KCR
How “no news” during the life of a trial is bad news, and what data management (among other things) can do to help when ensuring access to fast data? Get to know this and more about smart e-solutions in the newest article of Kaia Koppel, Associate Director, Biometrics & Clinical Trial Data Execution Systems at KCR, in the recent issue of Journal for Clinical Studies (p.40-21).
This presentation is based on the US FDA Workshop that I attended in Mumbai.
Pharmaceutical Industry is challenged for the Data Integrity. The reason for Data Integrity Fraud are obvious, but are overlooked. The importance of the genuine data must be accepted from the patient safety angle. There has to be a sincere attempt from the Top Management to eliminate this problem. It is trust that needs to be developed and maintained.
Real world clinical medical data. Corporate presentation of Ad Scientiam which is a startup specialized in real life data acquisition during clinical trials.
Learn more at : www.adscientiam.com
Electronic Data Capture & Remote Data CaptureCRB Tech
CRB Tech is one of the best leading Software Development Company in Pune. We are offering Software Development Services as well as IT Training including Java, Dot Net, SEO and Clinical Research training in pune.
Clinical data management (CDM) is a covered part in the clinical trial and most commonly used tools for the purpose of effectivity of clinical research
Q&A: The Internet of Everything in Clinical TrialsCRF Health
The Internet of Everything (IoE) is being applied to more sectors, including clinical trials. IPT asks Rauha Tulkki-Wilke at CRF Health how this is happening and what the effects are.
These standards are taken from the HL7 Functional Standards for an.docxbarbaran11
These standards are taken from the HL7 Functional Standards for an EHR document.
It is important to note that the Information Infrastructure standards below represent only a small portion of the entire standards.
ID
Function Name
Function Statement
Functional Description
Rationale
Your Evaluation – Discuss why the EHR meets/does not meet each standard
I.1
Information Infrastructure
I.1.1.0
EHR Information Security
Secure the EHR information.
The EHRS is required to manage EHR information securely. For this, all EHRS applications must ensure the authentication, authorization of entities (e.g. user and applications) and control access to the EHR information.
1. Support delivery of effective healthcare 2. Improve patient safety 3 Facilitate management of chronic conditions 4. Improve efficiency 5. Facilitate self-health management 6. Ensure privacy, confidentiality
I.1.1.1
Entity Authentication
Authenticate EHRS users and/or entities before allowing access to an EHRS.
Both users and application are subject to authentication. EHRS application must provide mechanisms for users and applications to be authenticated. Users will have to be authenticate when they attempt to use the application, the applications themselves must authenticate themselves before accessing EHR information managed by other application or remote EHR Systems. Examples of entity authentication are: • Username/ password • Digital certificate • Secure token • Biometrics
1. Support delivery of effective healthcare 2. Improve patient safety 3 Facilitate management of chronic conditions 4. Improve efficiency 5. Facilitate self-health management 6. Ensure privacy, confidentiality
I.1.1.5
Patient Privacy
Protect the patient’s privacy according to personal, local, and national rules.
Functionality allows for compliance with personal, local, and national rules.
1. Support delivery of effective healthcare 2. Improve patient safety 3 Facilitate management of chronic conditions 4. Improve efficiency 5. Facilitate self-health management 6. Ensure privacy, confidentiality
I.1.1.5.3
Advisement of Patient Privacy Rights
Record that the patient was informed of current privacy policies practices.
The EHRS will allow for the dispensing and tracking of patient education regarding current privacy policies and procedures.
1. Support delivery of effective healthcare 2. Improve patient safety 3 Facilitate management of chronic conditions 4. Improve efficiency 5. Facilitate self-health management 6. Ensure privacy, confidentiality
I.1.2.1
Information Integrity
Ensure that clinical information is valid according to the healthcare-specific business rules.
An important aspect of maintaining a legally sound health record is securing the record to prevent loss, tampering, or unauthorized use. The integrity of the health record may be questioned in a legal proceeding if concerns are raised about the security of paper-based or electronic records. The Rules of Evidence require an organization to h.
This presentation talks about the context of developing the Electronic Health records for India. the guidelines as mentioned in the GOI site is described vividly with examples, for better understanding.
N.B: Please download the ppt first, for the animations to work better.
Electronic Health Record (EHR) Systems: A Revolution in Healthcare.docxdoctorsbackoffice4
In the rapidly evolving landscape of healthcare, technology plays a critical role in enhancing patient care, improving efficiency and reducing costs. One of the most significant advances in this field has been the adoption of electronic health record EHR systems.
NASSCOM CoE IoT spearheaded a high-level industry roundtable to discuss firsthand the challenges & opportunities in India’s clinical trial industry and how technology can accelerate development
Electronic Health Records: Implications for IMO State's Healthcare SystemMichael Loechel
Very high level overview and benefits of Electronic Health Records systems and a multi-phased approach to implementation. By Michael Loechel & Joy Gupta.
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
Patient Record System (Electronic Medical Records).pptxmamtabisht10
Electronic Medical Records also known as Patient record system is the digital version of the clinical information regarding a patient.
It involves collecting, storing, manipulating and using the available clinical information in delivering care to the patient.
Incorporating emerging technologies with independent pharmacy careCody Midlam
Program Description:
This program will identify emerging technologies affecting the practice of pharmacy in a transitional healthcare delivery system, with a focus on those technologies that increase interconnectivity of electronic health records, tools to improve pharmacist-patient communication, and tools that aide in drug therapy monitoring.
Objectives:
1. Chart the data flow to and from electronic health records and what pharmacists can expect in the future
2. Identify mobile health devices and applications (apps) to monitor blood pressure, blood glucose, and other patient-centric labs
3. Differentiate between historical, current, and future programs to aide in medication adherence and compliance
4. Distinguish which technologies enable the independent pharmacy to further enmesh itself within existing healthcare systems
Importance of systematic literature search for clinical evaluation (CE) the s...PEPGRA Healthcare
The Clinical Evaluation Report (CER) comprises of three major parts that present complete clinicalevaluation information of the medical device under consideration. The first section is a report of the new clinical investigations of the device conducted by the manufacturer. The second section deals with the unpublished data concerning the biological safety and bench testing of the medical device along with compliance and experience records. The third part of the CER deals with the literature review of the clinical evaluation published on equivalent devices.
Visit : www.pepgra.com
A literature review may form the major source of clinical evidence
to validate the safety and performance of the established devices
in their commercialization approval process, where it may not be
feasible to conduct new clinical investigations on the device.
What you need to know about Meaningful Use 2 & interoperabilityCompliancy Group
Does this describe you?
·You are constantly challenged to stay abreast of the latest information on EHR integration and HIE interoperability, Meaningful Use stages, the Direct Project, clinician and patient portals, just to name a few.
·You walk a fine line between adopting health information technology for the good it can bring patient outcomes…….and for the good incentive dollars it can mean to your organization.
·You play a key role in ensuring your organization can attest for meaningful use.
Join Andy Nieto, Health IT Strategist at DataMotion where he’ll explain the key role that interoperability plays in Meaningful Use Stage 2 attestation including:
- What does interoperability really mean
- Why you can’t ignore interoperability
- How to achieve interoperability and make it meaningful
- What you need in order to attest
BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...hiij
Medical and health data that have been entered into an electronic data system in real-time cannot be
assumed to be accurate and of high quality without verification. The adoption of the electronic health
record (EHR) by many countries to the support care and treatment of patients illustrates the importance of
high quality data that can be shared for efficient patient care and the operation of healthcare systems.
This brief communication provides a high-level overview of an EHR system and practices related to high
data quality and data hygiene that could contribute to the analysis and interpretation of EHR data for use
in patient care and healthcare system administration.
Similar to FDA Electronic Health Record Data in Clinical Research (20)
Challenges and Recommendations When Implementing New eSystemsTarget Health, Inc.
Avoiding resistance and inefficiencies when there are new ideas and new opportunities, and experience from the real world. Presented at eSource Forum, October 2014
Slides from Society for Clinical Trials, The goal of this CTTI-sponsored project was to describe current clinical monitoring methods for a range of clinical trial types, and to explore the rationale for the use of those methods.
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
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These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
FDA Electronic Health Record Data in Clinical Research
1. FDA Electronic Health Record Data in
Clinical Research
North American eClinical Forum
Autumn Meeting
Jules T. Mitchel, MBA, PhD
2 October 2018
2. Use of Electronic Health Record Data in
Clinical Investigations
• Guidance for Industry, Issued 18 July 2018
• U.S. Department of Health and Human Services
• Food and Drug Administration
• Center for Drug Evaluation and Research (CDER)
• Center for Biologics Evaluation and Research (CBER)
• Center for Devices and Radiological Health (CDRH)
3. Table of Contents
1. Interoperability and Integration of Systems
• Data Standards
• Structured and Unstructured data
• Validation
• Data from Multiple EHRs
2. Best Practices for Using EHRs in Clinical Investigations
• Use of Health Information Technology Certified by the Office of the National
Coordinator for Health Information Technology ONC
• Use of Health Information Technology not Certified by ONC
• eSource Principles for EHRs
• Blinded Study Designs
• Informed Consent
3. Inspection, Recordkeeping, and Record Retention Requirements
4. What Are Electronic Health Record (EHR)
Systems?
1. Electronic health record (EHR) systems are electronic platforms that
contain individual health records for patients. EHR systems are generally
maintained by health care providers, health care organizations, and health
care institutions and are used to deliver care.
2. A typical individual EHR may include a patient’s medical history,
diagnoses, treatment plans, immunization dates, allergies, radiology
images, pharmacy records, and laboratory and test results.
5. Guidance Recommendations
1. Deciding whether and how to use EHRs as a source of data in clinical
investigations
2. Using EHR systems that are interoperable with EDC systems in clinical
investigations
3. Ensuring the quality and integrity of EHR data collected and used as
electronic source data in clinical investigations
4. Ensuring that the use of EHR data collected and used as electronic
source data in clinical investigations meets FDA’s inspection,
recordkeeping, and record retention requirements
6. Scope of the Guidance
1. Use of EHRs in prospective clinical investigations of human drugs
and biological products, medical devices, and combination
products, including clinical investigations conducted in clinical
practice settings
2. Use of EHRs in foreign clinical studies not conducted under an
investigational new drug application (IND) or an investigational
device exemption (IDE) that are submitted to FDA in support of an
application for the marketing approval of a medical product
7. Not Included in the Scope of the Guidance
1. Health IT such as mobile and telehealth technology, medical devices and
remote monitoring devices, assistive technologies, and sensors.
2. The use of EHR data in postmarketing observational
pharmacoepidemiologic studies designed to assess adverse events and
risks associated with drug exposure or designed to test prespecified
hypotheses for such studies.
3. The use of EHR data to evaluate feasibility of the trial design or as a
recruitment tool for clinical investigations.
4. Data collected for registries and natural history studies.
8. Advantages of Using EHR Data
1. With the widespread use of EHRs, there are opportunities to improve data
accuracy and promote clinical trial efficiency when EHRs are used in clinical
investigations.
2. EHRs may enable clinical investigators and study personnel to have access to
many types of data (e.g., clinical notes, physician orders, radiology,
laboratory, and pharmacy records) that can be combined, aggregated, and
analyzed.
9. Advantages of Using EHR Data
1. EHRs may have the potential to provide clinical investigators and study
personnel access to real-time data for review and can facilitate post-trial
follow-up on patients to assess long-term safety and effectiveness of
medical products.
2. In addition, there are opportunities for long-term follow up of large
numbers of patients, which may be of particular importance in studies
where the outcome of interest occurs rarely, such as in prophylaxis studies.
10. FDA is Encouraging Pharma to be Interoperable
1. FDA encourages sponsors and clinical investigators to work with entities
that control EHR systems, such as health care organizations, to use EHR
and EDC systems that are interoperable or fully integrated.
2. However, diverse ownership of electronic systems and data may
necessitate appropriate collaboration between the health care and
clinical research communities.
3. Therefore FDA encourages sponsors and health care organizations to
work with EHR and EDC system vendors to further advance the
interoperability and integration of these systems.
11. Data Standards
1. Many of these challenges are being addressed by the adoption
of open data standards and through EHR data standardization
requirements as part of The Office of the National Coordinator
for Health Information Technology (ONC) Health IT Certification
Program and ONC’s Interoperability Standards Advisory.
2. The data exchange between EHR and EDC systems should
leverage the use of existing open data standards, when
possible, while ensuring that the integrity and security of data
are not compromised
12. Structured and Unstructured Data
1. FDA encourages exchange of structured data (e.g., demographics, vital
signs, laboratory data) between EHR and EDC systems so that data may
be entered once at the point-of-care and used many times without
manual re-entry or manual source data verification.
2. Sponsors should ensure that the structured data elements obtained
from the EHR correspond with the protocol-defined data collection plan
(e.g., time and method of measurement). In addition, for extraction of
unstructured data, sponsors should consider the reliability and quality
of unstructured EHR data and the appropriateness of using it as critical
source data, such as study endpoints
13. Validation
1. Sponsors should ensure that the interoperability of EHR and EDC
systems (e.g., involving the automated electronic transmission of
relevant EHR data to the EDC system) functions in the manner intended
in a consistent and repeatable fashion and that the data are
transmitted accurately, consistently, and completely.
2. The sponsor’s quality management plan (e.g., standard operating
procedures, software development life cycle model, change control
procedures) should address the interoperability of the EHR and EDC
system and the automated electronic transmission of EHR data
elements to the EDC system.
14. Validation
1. Sponsors should ensure that software updates to the sponsor’s EDC
systems do not affect the integrity and security of EHR data transmitted
to the sponsor’s EDC systems.
2. In addition, as part of the quality management plan, FDA encourages
sponsors to periodically check a subset of the extracted data for
accuracy, consistency, and completeness with the EHR source data and
make appropriate changes to the interoperable system when problems
with the automated data transfer are identified.
15. Data From Multiple EHR Systems
1. The EHR system at the clinical investigation site may be interoperable
with multiple EHR systems from many different health care
organizations or institutions that are not affiliated with the clinical
investigation site.
2. If data from multiple EHR systems from different health care
organizations and institutions are integrated with EHR data at the
clinical investigation site, data from another institution’s EHR system
may be used and transmitted to the sponsor’s EDC system provided
that data sharing agreements are in place.
16. Best Practices in Clinical Trials
1. Sponsors and clinical investigators should ensure that policies and
processes for the use of EHRs at the clinical investigation site are in place
and that there are appropriate security measures employed to protect the
confidentiality and integrity of the study data.
2. Sponsors should also ensure that study monitors have suitable access to all
relevant subject information pertaining to a clinical investigation, as
appropriate. Such access must be described in the informed consent.
3. At any time during the course of a clinical investigation, sponsors should
discuss with the relevant FDA review division any unique issues or
challenges encountered relating to the data collection from the EHRs.
17. Health Information Technology Certified by ONC
1. Under the ONC Health IT Certification Program, certified EHR technology
should be in compliance with applicable provisions under 45 CFR part 170.
2. EHR technology with certified capabilities generally has clear advantages,
because many of the certification requirements are aimed toward ensuring
interoperable data sharing and enabling processes to keep electronic data
confidential and secure. In particular, all EHR technology certified under
the ONC Health IT Certification Program is required to meet certain privacy
and security protection requirements for an individual’s health.
3. FDA encourages the use of such certified EHR systems together with
appropriate policies and procedures for their use
18. Health Information Technology Not Certified by ONC
1. FDA recognizes the importance of data from foreign studies to support
safety and efficacy claims for medical products and may accept data from
clinical studies conducted outside the United States.
2. EHR systems not certified by ONC, including EHR systems at foreign clinical
sites, can provide adequate data to inform FDA’s regulatory decisions
provided that adequate controls are in place to ensure the confidentiality,
integrity, and security of data.
19. Health Information Technology Not Certified by ONC
For EHR systems not certified by ONC, sponsors should consider whether such
systems have the following privacy and security controls in place to ensure
that the confidentiality, integrity, and security of data are preserved:
1. Policies and processes for the use of EHR systems at the clinical
investigation site are in place, and there are appropriate security
measures employed to protect the study data.
2. Access to electronic systems is limited to authorized users.
3. Authors of records are identifiable.
4. Audit trails are available to track changes to data.
5. Records are available and retained for FDA inspection for as long as the
records are required by applicable regulations
20. Health Information Technology Not Certified by ONC
1. Sponsors should consider the previous factors when determining the
suitability of EHR systems not certified by ONC for use in clinical
investigations.
2. If the clinical investigation site is using a system that does not contain the
adequate controls previously described in the items above, sponsors
should consider the risks of employing such systems (e.g., the potential
harm to research subjects, patient privacy rights, and data integrity of the
clinical investigation and its regulatory implications).
21. Health Information Technology Not Certified by ONC
The following information may be helpful to sponsors to determine the
suitability of EHR systems not certified by ONC:
1. Any EHR system certification information from other authorizing bodies
outside the United States, including information about aspects of the
EHR system that the authorizing body evaluated when certifying the
EHR system
2. Feature and product-specification information from the EHR system
vendor
Sponsors should consult with the relevant FDA review divisions if
any issues or challenges with the EHR system are identified.
22. Data Management Plan Documentation
1. Sponsors should include in their data management plan a list of EHR
systems used by each clinical investigation site in the clinical investigation.
Sponsors should document the manufacturer, model number, and version
number of the EHR system and whether the EHR system is certified by
ONC.
2. If an EHR system is decertified during the course of the clinical
investigation because the system no longer conforms to ONC’s certification
criteria, sponsors should determine the nature or reasons for the
nonconformity and determine whether it would affect the quality and
integrity of data used in the clinical investigation.
23. eSource Principles: Data Originator
1. For the purposes of recordkeeping, audit trails, and inspection, each
electronic data element should be associated with a data originator.
2. The EHR is identified as the data originator for EHR data elements gathered
during the course of a clinical investigation.
3. Identifying the EHR as the data originator may be sufficient because
sponsors are not expected to know details about all users who contribute
information to the patient’s EHR.
24. eSource Principles: Data Modification
1. After data are transmitted to the eCRF, the clinical investigator or
delegated study personnel should be the only individuals authorized to
make modifications or corrections to the data.
2. Modified and corrected data elements should have data element
identifiers that reflect the date, time, data originator, and the reason for
the change.
3. Modified and corrected data should not obscure previous entries.
25. eSource Principles: Data Modification
1. Clinical investigators should review and electronically sign the completed
eCRF for each study participant before data are archived or submitted to
FDA.
2. If modifications are made to the eCRF after the clinical investigator has
already signed the eCRF, the changes should be reviewed and approved by
the clinical investigator.
3. Use of electronic signatures for records that are subject to 21 CFR part 11
must comply with relevant requirements in that regulation.
26. eSource Principles: Informed Consent
1. When informed consent is required, the consent must include a statement
describing the extent, if any, to which confidentiality of records identifying
the subject will be maintained and should identify entities, such as health
care providers, clinical investigators, sponsors, contract research
organizations, study monitors, and regulatory agencies who may gain
access to the patient’s electronic health record relating to the clinical
investigation.
2. In addition, the consent process must also note the possibility that FDA
may inspect records and should not state or imply that FDA needs
permission from the subject for access to the records.
27. Inspection, Recordkeeping, and Record Retention
1. FDA must have access to records and may inspect and copy all records
pertaining to a clinical investigation.
2. All relevant information in the EHR pertaining to the clinical investigation
must be made available to FDA for review upon request.
3. This information should be made available and viewable to FDA as original
records in the EHR or as certified copies.
4. During an inspection, FDA may also request other paper or electronic
records to support data in the eCRF (e.g., case histories, other data
pertaining to the clinical investigation).
In addition, FDA may request to review the EHR audit trail information
during inspection.
28. Thank You
Jules T. Mitchel, MBA, Ph.D., President
Target Health Inc.
261 Madison Avenue, 24th Floor, New York, NY 10016
jmitchel@targethealth.com
www.targethealth.com
TARGET HEALTH INC., founded in 1993, is a private, New York City-based,
full-service eCRO, engaged in all aspects of Drug and Device Development,
including Regulatory Affairs Strategic Planning, Clinical Research, Data
Management, Biostatistics, Medical Writing and the paperless clinical
trial.