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A Comparison of Three Visual Help Authoring Tools

A Practical Guide to Capturing, Organizing, and Securing Your Documents

Authoring Assistance

Being Smart About Global vs. Local During Clinical Trials

Bringing User Experience to Medical Devices

Centralized Translation Processes

Changes to Labeling Requirements for Pharmaceutical and Medical Equipment Professionals

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Content Technologies Market

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Creativity or Confusion Factor?

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Drowning in a Sea of Information… What’s Your Rescue Plan?

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Extending Your Reach with SMS (Text Messaging)

Get Cleaned Up

Globalization Issues with Medical Device Embedded Systems

Handling DITA Topics and Translation in a Regulated Industry

Health Information Portals

Healthcare and the Internet

How to Enforce Standards in Life Sciences Documentation

How to Maximize Content for a Global Audience

How To Select and Procure Content Technologies

Marketing in a Connected World

Migrating to Structured Authoring on Your Way To XML

Phase 2 - What’s Next for Life Sciences and Enterprise Content Management

Preparing Compliant eCTD Submissions

Reducing Multinational Product Launch Times and Localization Costs

SPL Beyond CDER

Structured Content Beyond the Label

The Best Global Medical and Pharmaceutical Web Sites (and Why)

Transforming Technology Transfer and Recipe Management

Unlocking Handwritten Information from Medical Records

Web 2.0 and Healthcare

What’s New in Collaboration Tools

Writing Reusable Content for Different Audiences

XML-Based Collaboration with Office 2007

Your Global Audience is Already Here

[Case Study] Physician, Know Thy User

[Workshop] Adobe Captivate

[Workshop] Analyzing Your Deliverables

[Workshop] Content Modeling for Life Sciences Content

[Workshop] Creating High Quality Content that Communicates Across Language Barriers

[Workshop] Do you Know Adobe Acrobat?

[Workshop] Games To Explain Human Capability and Limitations

[Workshop] Learning DITA From Concept to Implementation

[Workshop] Product Life Cycles in the Life Sciences Industry

[Workshop] Simplified Technical English

[Workshop] Structured Product Labeling Workshop

[Workshop] Writing Reusable Content

Session Details

Unlocking Handwritten Information from Medical Records

Speaker: Courtney Rand
Time: 2:00 PM - 3:00 PM   Date: June 24
Track: Health and Hospital

Experience level: All levels
Room: Nickel Plate

Most of an organization’s information is stored in unstructured medical records with cursive handwriting. By using a new technology that understands how the documents are used and what role they play, you can classify and extract more information from both handwritten and machine-printed documents. Courtney Rand will focus his discussion around the toughest challenges in optimizing forms processing and medical records management today—unstructured document processing and handwritten cursive recognition—and the new generation of technology available to solve these problems. This presentation will explain the state of current automatic classification technologies, how they interact with recognition technologies, and explain how to implement such a system with maximum functionality and results.

Rand will discuss Intelligent Word Recognition (IWR), a lies at the heart of his company’s recognition software products and is optimized for processing data on real-world documents that contain mostly free-form, hard-to-recognize handwriting. The best use of IWR is to eliminate a high percentage of the manual entry of handwritten data on documents that otherwise could be keyed only by humans. IWR differs from Intelligent Character Recognition (ICR) primarily in that conventional ICR technology recognizes data fundamentally at the character level, while IWR recognizes data at the word or “field” level. A2iA’s IWR engine is capable of extracting all types of field-based information from a form - either constrained (machine print, hand-printed capitals) or unconstrained (freeform hand print, cursive) from virtually any type of document.
The IWR process of converting a written word into computer-usable data occurs in a series of top-down stages. IWR provides a competitive advantage for operations that rely on the conversion of paperwork into computer-usable form, such as data entry departments of big government agencies, large financial institutions, and service bureaus. In many cases, IWR can automate data entry at a cost so low that it enables A2iA customers to successfully compete against offshore service bureaus located in countries such as India and China