J
John Hsu
Researcher at Harvard University
Publications - 211
Citations - 6687
John Hsu is an academic researcher from Harvard University. The author has contributed to research in topics: Medicine & Health care. The author has an hindex of 40, co-authored 181 publications receiving 5642 citations. Previous affiliations of John Hsu include University of California, Berkeley & Oslo University Hospital.
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Journal ArticleDOI
Unintended Consequences of Caps on Medicare Drug Benefits
John Hsu,Mary Price,Jie Huang,Richard J. Brand,Vicki Fung,Rita Hui,Bruce Fireman,Joseph P. Newhouse,Joseph V. Selby +8 more
TL;DR: In patients with chronic disease, the cap on drug benefits was associated with poorer adherence to drug therapy and poorer control of blood pressure, lipid levels, and glucose levels.
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Kaiser Permanente's experience of implementing an electronic medical record: a qualitative study
TL;DR: Examination of users' attitudes to implementation of an electronic medical record system in Kaiser Permanente Hawaii found a transient climate of conflict was associated with adoption of the system, and organisational factors such as leadership, culture, and professional ideals played complex roles.
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Patient Characteristics and Differences in Hospital Readmission Rates.
TL;DR: To assess the extent to which a comprehensive set of patient characteristics accounts for differences in hospital readmission rates, survey data from the nationally representative Health and Retirement Study and linked Medicare claims for HRS participants enrolled in Medicare were used.
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Effects of Exam-Room Computing on Clinician–Patient Communication: A Longitudinal Qualitative Study
Richard M. Frankel,Andrea Altschuler,Sheba George,Sheba George,James Kinsman,Holly Jimison,Nan R. Robertson,John Hsu +7 more
TL;DR: Effective use of computers in the outpatient exam room may be dependent upon clinicians’ baseline skills that are carried forward and are amplified, positively or negatively, in their effects on clinician-patient communication.
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Data science is science's second chance to get causal inference right: A classification of data science tasks
TL;DR: It is argued that a failure to adequately describe the role of subject-matter expert knowledge in data analysis is a source of widespread misunderstandings about data science and how to guide decision-making in the real world and to train data scientists.