SnapShot (171582) writes "My wife is a psychiatrist with her own office. I've set up a simple database for her to manage her patients and keep track of notes, but it hasn't been used yet since the process of getting her handwritten notes into the database is too cumbersome. She writes her notes into a custom form with various sections — treatment plan, mental status exam, medication management, etc. I've tried OCR of her handwritten notes but, since she writes in cursive with additional notes in the margin, uses various symbols such as arrows and circles around sections and the notes are filled with various medical shorthand, drug names, and other domain specific words, the OCR is nearly useless.
Currently, she scans the notes into her computer at the end of the day into b&w bitmap files (keeping the paper original as a backup) but this isn't a great solution since the files are large and unsearchable.
So the Ask Slashdot question, have you found any useful ways to get handwritten data into a database. Hopefully it's simple, works with her current forms, doesn't "auto-mangle" her words and doesn't require her to change her writing style. There are three options that I've started researching:
LiveScribe. It requires a special paper but it appears that I can print her forms onto the paper as needed if I buy a color laser printer. It has the advantages that she'll still have a paper copy, but I'm not sure how well the custom forms will work and how forgiving the system is of mistakes.
Wacom has a tablet with a built-in LCD screen. It's targeted towards graphic designers, but if there are handwriting recognition applications available and if it's responsive enough this could be a great solution.
Get a light laptop and have her type directly as she's talking with the patients. She's worried that this will interfere with the conversation with the patient, but it has the advantage of getting the data directly into the database.
OCR? Nothing I've tried seems to work, but I haven't tried everything...
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SnapShot (171582) writes "Despite the title, this article is not really about Apple or its fans, it's about how "we're quick to see bias in even the most objective news." I've noticed this myself. I'm halfway finished with a scathing response to some post and then I realize that I interpreted the post in the most negative way possible because the writer said something negative about something that I care about. So here's the question, are any of us able to objectively read news about a subject that we are passionate about? Or, are we hard-wired to be evangelists for our "team"?" top