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Open Source Technologies for Clinical Trials

Date post: 16-Mar-2016
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Open source is becoming more and more prevalent in clinical trials, introducing an innovative way to save costs while keeping high clinical data quality and security. With over 10,000 users, clinical open source EDC systems are a strong example of the tremendous value clinical open source software can bring to the clinical trial process of pharmaceutical, biotechnology and medical device companies. Open source technologies are used for Business Intelligence, CDISC, cancer research etc. What systems are used in the industry? What are the key benefits of open source technologies for sponsors? What are the best practices for a successful implementation of clinical open source softwares?
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Clinovo 1208 E. Arques Avenue, Suite 114 Sunnyvale, CA 94085 [email protected] +1 800 987 6007 www.clinovo.com Open Source Technologies for Clinical Trials Free Webinar – Thursday August 25 th , 9 AM PST
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Page 1: Open Source Technologies for Clinical Trials

Clinovo 1208 E. Arques Avenue, Suite 114 Sunnyvale, CA 94085 [email protected] +1 800 987 6007 www.clinovo.com

Open Source Technologies for Clinical Trials

Free Webinar – Thursday August 25th, 9 AM PST

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Proprietary and confidential

Open Source Technologies for Clinical Trials August 25th, 2011

Mark Burns

Clinical Database Specialist

Intuitive Surgical

Marc Desgrousilliers

VP of Technical Operations

Clinovo

Today’s Speakers

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Open Source Technologies for Clinical Trials August 25th, 2011

What is open source?

Key systems used in clinical trials

Benefits and challenges of open source for clinical trials

Mark Burns, Clinical Database Specialist at Intuitive Surgical: Best practices for a successful implementation

Q&A

Today’s Agenda

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Open Source Technologies for Clinical Trials August 25th, 2011

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Open Source Technologies for Clinical Trials August 25th, 2011

Free distribution

Code available to anyone to use, support or enhance

Derived work

Integrity of the source code

Many types of open source licenses

Major organizations

What is Open Source?

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Open Source Technologies for Clinical Trials August 25th, 2011

Open Source Systems in Clinical Trials

Operating Systems: RedHat, Suse, UNIX

Languages: Java, C/++, PhP, Python, PERL

Web servers : Apache, Tomcat

Databases : MySQL, PostgreSQL, Sleepycat

Productivity Tools: OpenOffice, Mozilla

EDC : OpenClinica, Yale TrialDB

CDISC : OpenCDISC, CDISC Express

Business Intelligence : Pentaho, JasperSoft

DICOM Imaging : OsiriX

Health Information Exchange : Misys

Collaboration Portals : Alfresco

Systems Integration: Intalio, Talend

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Open Source Technologies for Clinical Trials August 25th, 2011

Provide state-of-the-art, cost-effective solutions

No vendor lock-in

Chance to influence features roadmap

Large community to maintain and enhance code

Flexible support options

Benefits

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Open Source Technologies for Clinical Trials August 25th, 2011

Concerns

No vendor responsible for open source product

Higher cost of validation

Licenses are complicated to understand and follow

Potential push-back from QA

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Open Source Technologies for Clinical Trials August 25th, 2011

Mark Burns Clinical Database Specialist at Intuitive Surgical

Best practices for a successful implementation

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Open Source Technologies for Clinical Trials August 25th, 2011

Experience with Electronic Data Systems

St. Jude Medical User Interface development

Data modeling

Data system administration

Intuitive Surgical Data collection systems

User interface development

MS Access

Salesforce.com

EDC system evaluation (open source vs license model)

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Open Source Technologies for Clinical Trials August 25th, 2011

Clinical Requirements

Database location in-house

Medical device studies at external clinics

Multiple studies (small patient numbers)

IDE to post market studies

Short lead time to begin studies

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Open Source Technologies for Clinical Trials August 25th, 2011

Why ClinCapture?

No license fees for software Especially advantageous with many small studies

In-house technical capabilities Allows for internal development for new studies

Validation Vendor demonstrated excellent validation experience with ClinCapture

Stability Good stability over mid-term

Long term is a bit hazy

Will Akaza continue with open source as main component?

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Open Source Technologies for Clinical Trials August 25th, 2011

Preliminary Investigation of Vendor/ClinCapture

Check references for previous clients

Confirm SOPs are up to standard

Check previous clients impressions with ClinCapture

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Open Source Technologies for Clinical Trials August 25th, 2011

Strong Internal SOPs/Procedures

Qualify new software vendor

Vendor SOP and procedures

Partnership with IT

Really helped with project management for this project

Change control procedures

System in place to allow for validation of new studies after the initial IQ/OQ/PQ validation process (Easier)

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Validation

IQ/OQ/PQ process

IT/Vendor/Partner/Clinical Affairs worked together closely to implement

Project management

Validation engineer was very helpful in organizing

New studies

Change control system allowed for changes to user interface (no source code changes) to be validated to only the new user interface requirements.

Do not need to re-validate Operational/Performance requirements that did not change between studies

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Open Source Technologies for Clinical Trials August 25th, 2011

Training

User training

Vendor training presentations

Administrator training

Development training

Allows for internal development going forward

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Support

Agreement with vendor for ongoing tech support as needed

Don’t need end user support currently

Ticket approach for technical developmental support issues

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Results

Initial study

Approximately 3 months from vendor qualification to end of validation

Since then 4 studies have been implemented and validated

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Open Source Technologies for Clinical Trials August 25th, 2011

Contact us

Marc Desgrousilliers

VP of Technical Operations

[email protected]

Mark Burns

Clinical Database Specialist

[email protected]

Upcoming webinars

Implementing Adaptive Clinical Trials October 18th, 9 AM PST

Medidata Rave Custom Functions Date TBD

www.clinovo.com

Follow us on twitter @clinovo


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