Factors impacting physician use of information charted by others.
To identify factors impacting physician use of information charted by others.
Author(s): Zozus, Meredith N, Penning, Melody, Hammond, William E
DOI: 10.1093/jamiaopen/ooy041
To identify factors impacting physician use of information charted by others.
Author(s): Zozus, Meredith N, Penning, Melody, Hammond, William E
DOI: 10.1093/jamiaopen/ooy041
Integrating patient-reported outcomes (PROs) into electronic health records (EHRs) can improve patient-provider communication and delivery of care. However, new system implementation in health-care institutions is often accompanied by a change in clinical workflow and organizational culture. This study examines how well an EHR-integrated PRO system fits clinical workflows and individual needs of different provider groups within 2 clinics.
Author(s): Zhang, Renwen, Burgess, Eleanor R, Reddy, Madhu C, Rothrock, Nan E, Bhatt, Surabhi, Rasmussen, Luke V, Butt, Zeeshan, Starren, Justin B
DOI: 10.1093/jamiaopen/ooz001
We aimed to gain a better understanding of how standardization of laboratory data can impact predictive model performance in multi-site datasets. We hypothesized that standardizing local laboratory codes to logical observation identifiers names and codes (LOINC) would produce predictive models that significantly outperform those learned utilizing local laboratory codes.
Author(s): Barda, Amie J, Ruiz, Victor M, Gigliotti, Tony, Tsui, Fuchiang Rich
DOI: 10.1093/jamiaopen/ooy063
Natural language processing (NLP) and machine learning approaches were used to build classifiers to identify genomic-related treatment changes in the free-text visit progress notes of cancer patients.
Author(s): Guan, Meijian, Cho, Samuel, Petro, Robin, Zhang, Wei, Pasche, Boris, Topaloglu, Umit
DOI: 10.1093/jamiaopen/ooy061
Alzheimer's disease (AD) is a severe neurodegenerative disorder and has become a global public health problem. Intensive research has been conducted for AD. But the pathophysiology of AD is still not elucidated. Disease comorbidity often associates diseases with overlapping patterns of genetic markers. This may inform a common etiology and suggest essential protein targets. US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) collects large-scale postmarketing surveillance data [...]
Author(s): Zheng, Chunlei, Xu, Rong
DOI: 10.1093/jamiaopen/ooy050
Usability of electronic health records (EHRs) remains challenging, and poor EHR design has patient safety implications. Heuristic evaluation detects usability issues that can be classified by severity. The National Institute of Standards and Technology provides a safety scale for EHR usability. Our objectives were to investigate the relationship between heuristic severity ratings and safety scale ratings in an effort to analyze EHR safety.
Author(s): Kennedy, Brandan, Kerns, Ellen, Chan, Y Raymond, Chaparro, Barbara S, Fouquet, Sarah D
DOI: 10.1055/s-0039-1681073
The implementation of an electronic health record (EHR) with structured and standardized recording of patient data can improve data quality and reusability. Whether and how users perceive these advantages may depend on the preimplementation situation.
Author(s): Joukes, Erik, de Keizer, Nicolette F, de Bruijne, Martine C, Abu-Hanna, Ameen, Cornet, Ronald
DOI: 10.1055/s-0039-1681054
When a paucity of clinical information is communicated from ordering physicians to radiologists at the time of radiology order entry, suboptimal imaging interpretations and patient care may result.
Author(s): Rousseau, Justin F, Ip, Ivan K, Raja, Ali S, Valtchinov, Vladimir I, Cochon, Laila, Schuur, Jeremiah D, Khorasani, Ramin
DOI: 10.1055/s-0039-1679927
Investigate sociodemographic differences in the use of a patient-facing family health history (FHH)-based risk assessment platform.
Author(s): Wu, R Ryanne, Myers, Rachel A, Buchanan, Adam H, Dimmock, David, Fulda, Kimberly G, Haller, Irina V, Haga, Susanne B, Harry, Melissa L, McCarty, Catherine, Neuner, Joan, Rakhra-Burris, Teji, Sperber, Nina, Voils, Corrine I, Ginsburg, Geoffrey S, Orlando, Lori A
DOI: 10.1055/s-0039-1679926
More patients are receiving their test results via patient portals. Given test results are written using medical jargon, there has been concern that patients may misinterpret these results. Using sample colonoscopy and Pap smear results, our objective was to assess how frequently people can identify the correct diagnosis and when a patient should follow up with a provider.
Author(s): Qureshi, Nabeel, Mehrotra, Ateev, Rudin, Robert S, Fischer, Shira H
DOI: 10.1055/s-0039-1679960