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following is a text snippet from the Article . I do not know which part of the following is AI , it is pure "data analysis" writing few SQL queries . This is th

following is a text snippet from the Article . I do not know which part of the following is AI , it is pure "data analysis" writing few SQL queries . This is the Biggest problem of IBM, they bill these kind of things as AI . > A clinic could use the system to search its patient records and find, for example, all the men over age 45 who were overdue for a colonoscopy, and then use an autocall to remind them to schedule the dreaded appointment.

fjsolwmv 8y ago
The point is it's NOT SQL. It's NLP and whatnot to extract value from relatively natural non-fully schematized data.
- boxy310 8y ago
  DOB and date of last checkup are highly schematizable. This specific example is very well-suited to a SQL solution dumping into an autocaller queue. Maybe this was a terrible example, and the author didn't grasp a good example of legitimately non-schematic data points?
cabaalis 8y ago
Being directly involved in the execution of the example you gave, I believe ML would be unnecessary and error-prone. Even if successful, a system which could "interpret" a health record (such as a freetext note) using anything other than properly codified data would set the health industry back a decade. Moving doctors away from freetexting their notes is the only way to advance the industry.
- skolman 8y ago
  This is something I've always wondered about- how would you do it? How do you break the cycle of freetext EHR notes? Doing so could have incredible utility for sharing data across various clinics/hospitals/pharmacies/etc.
  - sbarre 8y ago
    It will be a generational shift. You won't get current doctors (over 40) to change their ways, ever. My previous doctor (who was probably mid-50s) didn't use email or any kind of secure electronic messaging system. Everything had to be faxed to him. My new doctor who is younger uses all kinds of digital tools including a voice recorder with a pre-trained text-to-speech engine that understands medical terminology and codifies the transcription based on keywords. So it's not entirely getting away from freetext but at least it's extracting some structured data from it automatically.

fjsolwmv 8y ago

The point is it's NOT SQL. It's NLP and whatnot to extract value from relatively natural non-fully schematized data.

boxy310 8y ago
DOB and date of last checkup are highly schematizable. This specific example is very well-suited to a SQL solution dumping into an autocaller queue. Maybe this was a terrible example, and the author didn't grasp a good example of legitimately non-schematic data points?

cabaalis 8y ago

Being directly involved in the execution of the example you gave, I believe ML would be unnecessary and error-prone. Even if successful, a system which could "interpret" a health record (such as a freetext note) using anything other than properly codified data would set the health industry back a decade. Moving doctors away from freetexting their notes is the only way to advance the industry.

skolman 8y ago
This is something I've always wondered about- how would you do it? How do you break the cycle of freetext EHR notes? Doing so could have incredible utility for sharing data across various clinics/hospitals/pharmacies/etc.
- sbarre 8y ago
  It will be a generational shift. You won't get current doctors (over 40) to change their ways, ever. My previous doctor (who was probably mid-50s) didn't use email or any kind of secure electronic messaging system. Everything had to be faxed to him. My new doctor who is younger uses all kinds of digital tools including a voice recorder with a pre-trained text-to-speech engine that understands medical terminology and codifies the transcription based on keywords. So it's not entirely getting away from freetext but at least it's extracting some structured data from it automatically.