A5091165163- Opioid Use Disorder Treatment
- Substance Abuse Treatment and Outcomes
- Complex Systems and Decision Making
- Health Policy Implementation Science
- Information and Cyber Security
- COVID-19 epidemiological studies
- Prenatal Substance Exposure Effects
- Community Health and Development
- Innovation Diffusion and Forecasting
- Big Data and Business Intelligence
- Poisoning and overdose treatments
- Telemedicine and Telehealth Implementation
- Cardiac Arrest and Resuscitation
- Machine Learning in Healthcare
- Mobile Health and mHealth Applications
- Misinformation and Its Impacts
- Artificial Intelligence in Healthcare and Education
- Evaluation and Performance Assessment
- Mental Health Research Topics
- Health Systems, Economic Evaluations, Quality of Life
- Healthcare Systems and Reforms
- Pharmaceutical Practices and Patient Outcomes
- Data-Driven Disease Surveillance
- HIV, Drug Use, Sexual Risk
- Opinion Dynamics and Social Influence
Harvard University
2017-2025
Massachusetts Institute of Technology
2016-2025
Massachusetts General Hospital
2019-2025
MGH Institute of Health Professions
2021-2025
Joel Popkin and Company
2024
Center for Assessment
2020-2024
Boston University
2024
Lemuel Shattuck Hospital
2024
Virginia Tech
2013-2023
Food and Drug Administration
2023
Background: Cybersecurity incidents are a growing threat to the health care industry in general and hospitals particular. The has lagged behind other industries protecting its main stakeholder (ie, patients), now must invest considerable capital effort their systems. However, this is easier said than done because extraordinarily technology-saturated, complex organizations with high end point complexity, internal politics, regulatory pressures. Objective: purpose of study was develop...
COVID-19 has highlighted the shortcomings of healthcare systems globally as countries struggle to meet high demand for patient care The spread
We developed a simulation game to study the effectiveness of decision-makers in overcoming two complexities building cybersecurity capabilities: potential delays capability development; and uncertainties predicting cyber incidents. Analyzing 1479 runs, we compared performances group experienced professionals with those an inexperienced control group. Experienced subjects did not understand mechanisms any better than subjects; however, were able learn need for proactive decision-making...
Background Hospitals have been one of the major targets for phishing attacks. Despite efforts to improve information security compliance, hospitals still significantly suffer from such attacks, impacting quality care and safety patients. Objective This study aimed investigate why hospital employees decide click on emails by analyzing actual clicking data. Methods We first gauged factors that influence behavior using theory planned (TPB) integrating trust theories. then conducted a survey in...
BackgroundUnderstanding how environmental factors affect SARS-CoV-2 transmission could inform global containment efforts. Despite high scientific and public interest multiple research reports, there is currently no consensus on the association of transmission. To address this gap, we aimed to assess relative risk associated with weather conditions ambient air pollution.MethodsIn analysis, adjusted for delay between infection detection, estimated daily reproduction number at 3739 locations...
The opioid crisis is a major public health challenge in the United States, killing about 70,000 people 2020 alone. Long delays and feedbacks between policy actions their effects on drug-use behavior create dynamic complexity, complicating decision-making. In 2017, National Academies of Sciences, Engineering, Medicine called for quantitative systems model to help understand address this complexity guide decisions. Here, we present SOURCE (Simulation Opioid Use, Response, Consequences,...
Opioid overdose deaths remain a major public health crisis. We used system dynamics simulation model of the U.S. opioid-using population age 12 and older to explore impacts 11 strategies on prevalence opioid use disorder (OUD) fatal overdoses from 2022 2032. These spanned misuse OUD prevention, buprenorphine capacity, recovery support, harm reduction. By 2032, three saved most lives: (i) reducing risk involving fentanyl use, which may be achieved through fentanyl-focused reduction services;...
Introduction Alongside the emergence of COVID-19 in United States, several reports highlighted increasing rates opioid overdose from preliminary data. Yet, little is known about how state-level death trends and decedent characteristics have evolved using official records.Methods We requested vital statistics data 2018–2020 all 50 states District Columbia, receiving 14 states. Accounting for COVID-19, we excluded without past March 2020, leaving 11 analysis. defined state-specific analysis...
We present the integration of telemedicine into healthcare system West China Hospital Sichuan University (WCH), one largest hospitals in world with 4300 inpatient beds, as a means for maximising efficiency delivery during COVID-19 pandemic.
This cohort study examines racial and ethnic differences in the duration of buprenorphine treatment for opioid use disorder US from 2006 to 2020.
Transparency is a critical aspect of systems science. While transparency quantitative models has been assessed, their qualitative structures less scrutinized. We assess the causal loop diagrams (CLDs), key visualization tool in system dynamics. evaluate
Abstract The recent advent of artificial intelligence (AI) language tools like ChatGPT has opened up new opportunities in qualitative research. We revisited a previous project on obesity prevention interventions, where we developed causal loop diagram through in‐depth interview data analysis. Utilizing our replication process, compared its results against original approach. discuss that contributes to improved efficiency and unbiased processing; however, it also reveals limitations context...
Abstract Background Increasingly, public health faces challenges requiring complex, multifaceted and multi-sectoral responses. This calls for systems-based approaches that facilitate the kind of collective collaborative thinking working required to address complexity. While literature on systems thinking, system dynamics associated methodologies is extensive, there remains little clear guidance how plan, govern implement participatory within a co-creation process. Methods We used three-step...
The recent advent of artificial intelligence (AI) language tools like ChatGPT has opened up new opportunities in qualitative research. We revisited a previous project on obesity prevention interventions, where we developed causal loop diagram through in-depth interview data analysis. Utilizing our replication process, compared its results against original approach. discuss that presents improved efficiency and unbiased processing; however, it also reveals limitations context understanding....
Objectives: To assess the effectiveness of large language models (LLMs) for systematic reviews, focusing on measures from basic details to complex criteria requiring nuanced evaluations. Methods: Screening full text 10 COVID-19 modeling studies, we analyzed three study settings, e.g., analysis location, and behavioral components in models, risk perception. extract data these measures, conducted 60 manual codings compared them with 420 queries spanning seven iterations ChatGPT. Results:...
Buprenorphine-naloxone reduces overdose deaths in people with opioid use disorder (OUD). Treatment retention increases higher daily doses. No national studies exist on retention's association 24, 32 and 40 mg. This study aimed to: (1) estimate the effect treatment of buprenorphine-naloxone doses between 4 mg compared 16; (2) compare Observational cohort a national, multi-payer sample prescription claims (IQVIA) episodes involving for OUD. Incident started 1 January 2014 31 March 2020,...
Cyber risk for buyers is a major obstacle to broad adoption of the Internet Things (IoT). Using system dynamics approach, we conducted case study connected lighting product understand how cybersecurity influences IoT adoption.
Abstract Background Understanding and projecting the spread of COVID-19 requires reliable estimates how weather components are associated with transmission virus. Prior research on this topic has been inconclusive. Identifying key challenges to estimation impact we study question using one largest assembled databases infections weather. Methods We assemble a dataset that includes virus data across 3,739 locations from December 12, 2019 April 22, 2020. Using simulation, identify impacts...
Background: The American Thyroid Association (ATA) published the 2015 Management Guidelines for patients with thyroid nodules and differentiated cancer, recommending a shift to less aggressive diagnostic, surgical, postoperative treatment strategies. At same time perhaps related new guidelines, there has been outpatient surgery. aim of current study was assess physician adherence these recommendations by identifying quantifying temporal trends in rates indications procedures inpatient...
Background As an innovative approach to providing web-based health care services from physical hospitals patients at a distance, e-hospitals (ie, extended through the internet) have been extensively developed in China. This closed delivery chain was by combining with hospitals; treatment begins consultation and registration, then, are diagnosed treated hospital. is promising its ability improve accessibility, efficiency, quality of care. However, there limited research on end users’...