TY - CHAP
T1 - Patient empowerment via technologies for patient-friendly personalized language
AU - Adnan, Mehnaz
AU - Warren, Jim
AU - Suominen, Hanna
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Free-text reports are used in health care to transfer information between working shifts and sites. This text, written by a physician, nurse, specialist, ward secretary or other healthcare worker, is full of jargon, idioms and shorthand that patients find difficult to understand. If patients are to be empowered to take an active role and make informed decisions in their health care, they need support for understanding these reports. This chapter discusses language technologies as a way to provide support for patients to better understand free-text reports with difficult clinical language. This includes expanding shorthand, replacing words with patient-centric terms, providing term definitions, hyperlinking to further information on patientfriendly and reliable sites on the internet, and personalizing medication advice and other content. To conclude, statistical evaluations and benchmarks in shared tasks give evidence of language technologies being successful in making text easier to understand and better personalized. Moreover, electronic health records that both patients and clinicians use to read, write and share information are becoming more commonplace and provide a platform for language technologies to assist patients in reading free-text reports.
AB - Free-text reports are used in health care to transfer information between working shifts and sites. This text, written by a physician, nurse, specialist, ward secretary or other healthcare worker, is full of jargon, idioms and shorthand that patients find difficult to understand. If patients are to be empowered to take an active role and make informed decisions in their health care, they need support for understanding these reports. This chapter discusses language technologies as a way to provide support for patients to better understand free-text reports with difficult clinical language. This includes expanding shorthand, replacing words with patient-centric terms, providing term definitions, hyperlinking to further information on patientfriendly and reliable sites on the internet, and personalizing medication advice and other content. To conclude, statistical evaluations and benchmarks in shared tasks give evidence of language technologies being successful in making text easier to understand and better personalized. Moreover, electronic health records that both patients and clinicians use to read, write and share information are becoming more commonplace and provide a platform for language technologies to assist patients in reading free-text reports.
KW - language technology
KW - personalized language
KW - patient
UR - http://www.scopus.com/inward/record.url?scp=84960320351&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/patient-empowerment-via-technologies-patientfriendly-personalized-language
U2 - 10.1515/9781614514343-015
DO - 10.1515/9781614514343-015
M3 - Chapter
AN - SCOPUS:84960320351
SN - 9781614515920
T3 - Information Technology for Patient Empowerment in Healthcare
SP - 153
EP - 163
BT - Information Technology for Patient Empowerment in Healthcare
A2 - Grando, Maria Adela
A2 - Rozenblum, Ronen
A2 - Bates, David
PB - De Gruyter
CY - Berlin
ER -