Disease Trajectories from Healthcare Data: Methodologies, Key Results, and Future Perspectives
Disease trajectories, defined as sequential, directional disease associations, have become
an intense research field driven by the availability of electronic population-wide healthcare …
an intense research field driven by the availability of electronic population-wide healthcare …
Potential pitfalls in the use of real-world data for studying long COVID
HG Zhang, JP Honerlaw, M Maripuri… - Nature medicine, 2023 - nature.com
The value of large-scale, real-world data—from electronic health records (EHRs), for
example—has been used to establish vaccine efficacy, to elucidate the genetic etiologies of …
example—has been used to establish vaccine efficacy, to elucidate the genetic etiologies of …
[HTML][HTML] Distinguishing admissions specifically for COVID-19 from incidental SARS-CoV-2 admissions: national retrospective electronic health record study
Background Admissions are generally classified as COVID-19 hospitalizations if the patient
has a positive SARS-CoV-2 polymerase chain reaction (PCR) test. However, because 35 …
has a positive SARS-CoV-2 polymerase chain reaction (PCR) test. However, because 35 …
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients
The risk profiles of post-acute sequelae of COVID-19 (PASC) have not been well
characterized in multi-national settings with appropriate controls. We leveraged electronic …
characterized in multi-national settings with appropriate controls. We leveraged electronic …
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
Background In electronic health records, patterns of missing laboratory test results could
capture patients' course of disease as well as reflect clinician's concerns or worries for …
capture patients' course of disease as well as reflect clinician's concerns or worries for …
A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: a precision medicine framework
Physical and psychological symptoms lasting months following an acute COVID-19 infection
are now recognized as post-acute sequelae of COVID-19 (PASC). Accurate tools for …
are now recognized as post-acute sequelae of COVID-19 (PASC). Accurate tools for …
[HTML][HTML] Seven Epidemic Waves of COVID-19 in a Hospital in Madrid: Analysis of Severity and Associated Factors
(1) Background: COVID-19 has evolved during seven epidemic waves in Spain. Our
objective was to describe changes in mortality and severity in our hospitalized patients.(2) …
objective was to describe changes in mortality and severity in our hospitalized patients.(2) …
[HTML][HTML] Understanding Covid Vaccine Efficacy over Time—Bridging a Gap Between Public Health and Health Care
Understanding Covid Vaccine Efficacy over Time — Bridging a Gap Between Public Health
and Health Care | New England Journal of Medicine Skip to main content The New England …
and Health Care | New England Journal of Medicine Skip to main content The New England …
A Process Mining Pipeline to Characterize COVID-19 Patients' Trajectories and Identify Relevant Temporal Phenotypes From EHR Data
The impact of the COVID-19 pandemic involved the disruption of the processes of care and
the need for immediately effective re-organizational procedures. In the context of digital …
the need for immediately effective re-organizational procedures. In the context of digital …
[HTML][HTML] Population risk factors for severe disease and mortality in COVID-19 in the United States during the pre-vaccine era: a retrospective cohort study of national …
K Raj, K Yeruva, K Jyotheeswara Pillai, P Kumar… - Medical …, 2022 - mdpi.com
Background-Previous studies on coronavirus disease 2019 (COVID-19) were limited to
specific geographical locations and small sample sizes. Therefore, we used the National …
specific geographical locations and small sample sizes. Therefore, we used the National …