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1.
J Biomed Inform ; 130: 104081, 2022 06.
Article in English | MEDLINE | ID: covidwho-1819520

ABSTRACT

Process mining is a discipline sitting between data mining and process science, whose goal is to provide theoretical methods and software tools to analyse process execution data, known as event logs. Although process mining was originally conceived to facilitate business process management activities, research studies have shown the benefit of leveraging process mining in healthcare contexts. However, applying process mining tools to analyse healthcare process execution data is not straightforward. In this paper, we show a methodology to: i) prepare general practice healthcare process data for conducting a process mining analysis; ii) select and apply suitable process mining solutions for successfully executing the analysis; and iii) extract valuable insights from the obtained results, alongside leads for traditional data mining analysis. By doing so, we identified two major challenges when using process mining solutions for analysing healthcare process data, and highlighted benefits and limitations of the state-of-the-art process mining techniques when dealing with highly variable processes and large data-sets. While we provide solutions to the identified challenges, the overarching goal of this study was to detect differences between the patients' health services utilization pattern observed in 2020-during the COVID-19 pandemic and mandatory lock-downs -and the one observed in the prior four years, 2016 to 2019. By using a combination of process mining techniques and traditional data mining, we were able to demonstrate that vaccinations in Victoria did not drop drastically-as other interactions did. On the contrary, we observed a surge of influenza and pneumococcus vaccinations in 2020, as opposed to other research findings of similar studies conducted in different geographical areas.


Subject(s)
COVID-19 , COVID-19/epidemiology , COVID-19/prevention & control , Communicable Disease Control , Data Mining/methods , Humans , Pandemics/prevention & control , Vaccination
2.
J Med Internet Res ; 22(10): e22146, 2020 10 06.
Article in English | MEDLINE | ID: covidwho-750808

ABSTRACT

BACKGROUND: As the COVID-19 pandemic disrupted medical practice, telemedicine emerged as an alternative to outpatient visits. However, it is not known how patients and physicians responded to an accelerated implementation of this model of medical care. OBJECTIVE: The aim of this study is to report the system-wide accelerated implementation of telemedicine, compare patient satisfaction between telemedicine and in-person visits, and report provider perceptions. METHODS: This study was conducted at the UC Christus Health Network, a large private academic health network in Santiago, Chile. The satisfaction of patients receiving telemedicine care in March and April 2020 was compared to those receiving in-person care during the same period (concurrent control group) as well as in March and April 2019 (retrospective control group). Patient satisfaction with in-person care was measured using the Net Promoter Score (NPS) survey. Patient satisfaction with telemedicine was assessed with an online survey assessing similar domains. Providers rated their satisfaction and responded to open-ended questions assessing challenges, strategies used to address challenges, the diagnostic process, treatment, and the patient-provider relationship. RESULTS: A total of 3962 patients receiving telemedicine, 1187 patients from the concurrent control group, and 1848 patients from the retrospective control group completed the surveys. Satisfaction was very high with both telemedicine and in-person services. Overall, 263 physicians from over 41 specialties responded to the survey. During telemedicine visits, most providers felt their clinical skills were challenged (61.8%). Female providers felt more challenged than male providers (70.7% versus 50.9%, P=.002). Surgeons, obstetricians, and gynecologists felt their clinical skills were challenged the least, compared to providers from nonsurgical specialties (P<.001). Challenges related to the delivery modality, diagnostic process, and patient-provider relationship differed by provider specialty (P=.046, P<.001, and P=.02, respectively). CONCLUSIONS: Telemedicine implemented in response to the COVID-19 pandemic produced high patient and provider satisfaction. Specialty groups perceived the impact of this new mode of clinical practice differently.


Subject(s)
Coronavirus Infections/epidemiology , Patient Satisfaction , Pneumonia, Viral/epidemiology , Telemedicine/methods , Academic Medical Centers , Adolescent , Adult , Aged , Betacoronavirus , COVID-19 , Child , Child, Preschool , Chile/epidemiology , Female , Humans , Infant , Infant, Newborn , Job Satisfaction , Male , Middle Aged , Pandemics , Qualitative Research , Research Design , Retrospective Studies , SARS-CoV-2 , Surveys and Questionnaires , Telemedicine/trends , Young Adult
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