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To describe the characteristics and online practices of patients and "care partners" who share explicit access to a patient portal account at a large integrated health system that implemented shared access functionality in 2003.

Maintaining patient privacy is a challenge in large-scale observational research. To assist in reducing the risk of identifying study subjects through publicly available data, we introduce a method for obscuring date information for clinical events and patient characteristics.

Traditionally, patient groups with a phenotype are selected through rule-based definitions whose creation and validation are time-consuming. Machine learning approaches to electronic phenotyping are limited by the paucity of labeled training datasets. We demonstrate the feasibility of utilizing semi-automatically labeled training sets to create phenotype models via machine learning, using a comprehensive representation of the patient medical record.

Physicians are expending tremendous resources transitioning to new electronic health records (EHRs), with electronic prescribing as a key functionality of most systems. Physician dissatisfaction post-transition can be quite marked, especially initially. However, little is known about how physicians' experiences using new EHRs for e-prescribing evolve over time. We previously published a qualitative case study about the early physician experience transitioning from an older to a newer, more robust EHR, in [...]

Cloud computing promises to essentially improve healthcare delivery performance. However, shifting sensitive medical records to third-party cloud providers could create an adoption hurdle because of security and privacy concerns.

Asthma is a common childhood chronic lung disease affecting greater than 10% of children in the United States. School nurses are in a unique position to close gaps in care. Indeed, effective asthma management is more likely to result when providers, family, and schools work together to optimize the patient's treatment plan. Currently, effective communication between schools and healthcare systems through electronic medical record (EMR) systems remains a challenge. The [...]

Patient access to care has been a known and continuing struggle for many health care providers. In spite of appointment lead time policies set by government or clinics, the problem persists. Justification for how lead time policies are determined is lacking.

Wearable face-mounted computers such as Google Glass™ , Microsoft HoloLens™, and Oculus' Rift®, are increasingly being tested in hospital care. These devices challenge social etiquette, raise privacy issues, and may disrupt the intimacy of the doctor patient relationship. We aimed to determine patients' perception of and their privacy concerns with an archetype of wearable face-mounted computer devices, Google Glass.