In the United States, sensitive health information is protected under the Health Insurance Portability and Accountability Act (HIPAA). This act limits the disclosure of Protected Health Information (PHI) without the patient’s consent or knowledge. However, as medical care becomes web-integrated, many providers have chosen to use third-party web trackers for measurement and marketing purposes. This presents a security concern: third-party JavaScript requested by an online healthcare system can read the website’s contents, and ensuring PHI is not unintentionally or maliciously leaked becomes difficult. In this paper, we investigate health information breaches in online medical records, focusing on 459 online patient portals and 4 telehealth websites.
We find 14% of patient portals include Google Analytics, which reveals (at a minimum) the fact that the user visited the health provider website, while 5 portals and 4 telehealth websites con- tained JavaScript-based services disclosing PHI, including medications and lab results, to third parties. The most significant PHI breaches were on behalf of Google and Facebook trackers. In the latter case, an estimated 4.5 million site visitors per month were potentially exposed to leaks of personal information (names, phone numbers) and medical information (test results, medications). We notified healthcare providers of the PHI breaches and found only 15.7% took action to correct leaks. Healthcare operators lacked the technical expertise to identify PHI breaches caused by third-party trackers. After notifying Epic, a healthcare portal vendor, of the PHI leaks, we received a prompt response and observed extensive mitigation across providers, suggesting vendor notification is an effective intervention against PHI disclosures.
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Service system design of video conferencing visits with nurse assistance
Despite providing convenience and reducing the travel burden of patients, Video-Conferencing (VC) clinical visits have not enjoyed wide uptake by patients and care providers. It is desired that the medical problems addressed by VC visits can match a face-to-face encounter in scope and quality. Subsequently, VC visits with nurse assistance are emerging; however, the scalable and financially sustainable of such services are unclear. Therefore, we explore the implementability of VC visits with nursing services using a game-theoretic model, and investigate the impact of different pricing schemes (discriminative pricing based on patient characteristics vs. non-discriminative) on patients’ care choices between VC and in-person visits. Our results shed light on the “artificial congestion” created by a profit-driven medical institution that hurts patient welfare, and subsequently identify the conditions where the interest of the social planner and the medical institution are aligned. Our results highlight that, compared to a uniform price of VC visits which seems fair, discriminative pricing can be more beneficial for patients and the medical institution alike. This heightens the importance of insurance coverage of telehealth-related services to promote the adoption of telehealth by patients and care providers, and ultimately, improving care access and patient outcomes.
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- Award ID(s):
- 2027677
- NSF-PAR ID:
- 10320213
- Date Published:
- Journal Name:
- IISE transactions
- Volume:
- 54
- Issue:
- 8
- ISSN:
- 2472-5854
- Page Range / eLocation ID:
- 741 - 756
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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OBJECTIVE Current clinical guidelines for managing type 2 diabetes do not differentiate based on patient-specific factors. We present a data-driven algorithm for personalized diabetes management that improves health outcomes relative to the standard of care.
RESEARCH DESIGN AND METHODS We modeled outcomes under 13 pharmacological therapies based on electronic medical records from 1999 to 2014 for 10,806 patients with type 2 diabetes from Boston Medical Center. For each patient visit, we analyzed the range of outcomes under alternative care using a k-nearest neighbor approach. The neighbors were chosen to maximize similarity on individual patient characteristics and medical history that were most predictive of health outcomes. The recommendation algorithm prescribes the regimen with best predicted outcome if the expected improvement from switching regimens exceeds a threshold. We evaluated the effect of recommendations on matched patient outcomes from unseen data.
RESULTS Among the 48,140 patient visits in the test set, the algorithm’s recommendation mirrored the observed standard of care in 68.2% of visits. For patient visits in which the algorithmic recommendation differed from the standard of care, the mean posttreatment glycated hemoglobin A1c (HbA1c) under the algorithm was lower than standard of care by 0.44 ± 0.03% (4.8 ± 0.3 mmol/mol) (P < 0.001), from 8.37% under the standard of care to 7.93% under our algorithm (68.0 to 63.2 mmol/mol).
CONCLUSIONS A personalized approach to diabetes management yielded substantial improvements in HbA1c outcomes relative to the standard of care. Our prototyped dashboard visualizing the recommendation algorithm can be used by providers to inform diabetes care and improve outcomes.
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Abstract The COVID-19 pandemic has boosted digital health utilization, raising concerns about increased physicians’ after-hours clinical work (work-outside-work”). The surge in patients’ digital messages and additional time spent on work-outside-work by telemedicine providers underscores the need to evaluate the connection between digital health utilization and physicians’ after-hours commitments. We examined the impact on physicians’ workload from two types of digital demands - patients’ messages requesting medical advice (
PMAR s) sent to physicians’ inbox (inbasket), and telemedicine. Our study included 1716 ambulatory-care physicians in New York City regularly practicing between November 2022 and March 2023. Regression analyses assessed primary and interaction effects of (PMAR s) and telemedicine on work-outside-work. The study revealed a significant effect ofPMAR s on physicians’ work-outside-work and that this relationship is moderated by physicians’ specialties. Non-primary care physicians or specialists experienced a more pronounced effect than their primary care peers. Analysis of their telemedicine load revealed that primary care physicians received fewerPMAR s and spent less time in work-outside-work with more telemedicine. Specialists faced increasedPMAR s and did more work-outside-work as telemedicine visits increased which could be due to the difference in patient panels. ReducingPMAR volumes and efficient inbasket management strategies needed to reduce physicians’ work-outside-work. Policymakers need to be cognizant of potential disruptions in physicians carefully balanced workload caused by the digital health services. -
Telehealth technologies play a vital role in delivering quality healthcare to patients regardless of geographic location and health status. Use of telehealth peripherals allow providers a more accurate method of collecting health assessment data from the patient and delivering a more confident and accurate diagnosis, saving not only time and money but creating positive patient outcomes. Advanced Practice Nursing (APN) students should be confident in their ability to diagnose and treat patients through a virtual environment. This pilot simulation was completed to help examine how APN students interacted in a simulation-based education (SBE) experience with and without peripherals, funded by the National Science Foundation’s Future of Work at the Human-Technology Frontier (FW-HTF) program. The SBE experience was created and deployed using the INACSL Healthcare Simulation Standards of Best PracticesTM and vetted by a simulation expert. APN students (N = 24), in their first assessment course, were randomly selected to be either a patient (n = 12) or provider (n = 12) in a telehealth simulation. Student dyads (patient/provider) were randomly placed to complete a scenario with (n = 6 dyads) or without (n = 6 dyads) the use of a peripheral. Students (providers and patients) who completed the SBE experience had an increased confidence level both with and without the use of peripherals. Students evaluated the simulation via the Simulation Effectiveness Tool-Modified (SET-M), and scored their perception of the simulation on a 1 to 5 point Likert Scale. The highest scoring areas were perceived support of learning by the faculty (M=4.6), feeling challenged in decision-making skills (M=4.4), and a better understanding of didactic material (M=4.3). The lowest scoring area was feeling more confident in decision making (M=3.9). We also recorded students’ facial expressions during the task to determine a probability score (0- 100) for expressed basic emotions, and results revealed that students had the highest scores for joy (M = 8.47) and surprise (M = 4.34), followed by disgust (M = 1.43), fear (M = .76), and contempt (M = .64); and had the lowest scores of anger (M = .44) and sadness (M = .36). Students were also asked to complete a reflection assignment as part of the SBE experience. Students reported feeling nervous at the beginning of the SBE experience, but acknowledged feeling better as the SBE experience unfolded. Based on findings from this pilot study, implications point towards the effectiveness of including simulations for nurse practitioner students to increase their confidence in performing telehealth visits and engaging in decision making. For the students, understanding that patients may be just as nervous during telehealth visits was one of the main takeaways from the experience, as well as remembering to reassure the patient and how to ask the patient to work the telehealth equipment. Therefore, providing students opportunities to practice these skills will help increase their confidence, boost their self- and emotion regulation, and improve their decision-making skills in telehealth scenarios.more » « less
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Background COVID-19 has severely impacted health in vulnerable demographics. As communities transition back to in-person work, learning, and social activities, pediatric patients who are restricted to their homes due to medical conditions face unprecedented isolation. Prior to the pandemic, it was estimated that each year, over 2.5 million US children remained at home due to medical conditions. Confronting gaps in health and technical resources is central to addressing the challenges faced by children who remain at home. Having children use mobile telemedicine units (telerobots) to interact with their outside environment (eg, school and play, etc) is increasingly recognized for its potential to support children’s development. Additionally, social telerobots are emerging as a novel form of telehealth. A social telerobot is a tele-operated unit with a mobile base, 2-way audio/video capabilities, and some semiautonomous features.
Objective In this paper, we aimed to provide a critical review of studies focused on the use of social telerobots for pediatric populations.
Methods To examine the evidence on telerobots as a telehealth intervention, we conducted electronic and full-text searches of private and public databases in June 2010. We included studies with the pediatric personal use of interactive telehealth technologies and telerobot studies that explored effects on child development. We excluded telehealth and telerobot studies with adult (aged >18 years) participants.
Results In addition to telehealth and telerobot advantages, evidence from the literature suggests 3 promising robot-mediated supports that contribute to optimal child development—belonging, competence, and autonomy. These robot-mediated supports may be leveraged for improved pediatric patient socioemotional development, well-being, and quality-of-life activities that transfer traditional developmental and behavioral experiences from organic local environments to the remote child.
Conclusions This review contributes to the creation of the first pediatric telehealth taxonomy of care that includes the personal use of telehealth technologies as a compelling form of telehealth care.
- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1080/24725854.2021.1982156
