I assume the reason is that asking clinicians to do coding without any help provides great variability and leads to coding errors. What Thomas said about presenting clinicians with addecuated subsets is key to avoid that. There are also mechanisms to check coding quality/errors, but usually need high domain & terminology knowledge (but creating systems that 'learn' from documentalists' knowledge is feasible)
El mar., 13 mar. 2018 19:03, Pablo Pazos <[email protected]> escribió: > > > On Tue, Mar 13, 2018 at 2:15 PM, Karsten Hilbert <[email protected]> > wrote: > >> > just imagine standardizing every diagnosis >> >> That typically leads to either bad statistics or disimproved care. >> > > Can I ask why? > > >> >> Karsten >> >> _______________________________________________ >> openEHR-technical mailing list >> [email protected] >> >> http://lists.openehr.org/mailman/listinfo/openehr-technical_lists.openehr.org >> > > > > -- > Ing. Pablo Pazos Gutiérrez > [email protected] > +598 99 043 145 > skype: cabolabs > <http://cabolabs.com/> > http://www.cabolabs.com > https://cloudehrserver.com > Subscribe to our newsletter <http://eepurl.com/b_w_tj> > _______________________________________________ > openEHR-technical mailing list > [email protected] > > http://lists.openehr.org/mailman/listinfo/openehr-technical_lists.openehr.org
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