Healthcare, Data Analytics, and Business Intelligence

Morr, Christo El; Ali-Hassan, Hossam

doi:10.1007/978-3-030-04506-7_1

Cited by 16 publications

(13 citation statements)

References 22 publications

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“…Finally, healthcare analytics that allow the collection of objective data [ 59 – 61 ], such as app or website use, to predict healthcare outcomes using machine learning approaches [ 60 , 62 ] constitute an approach that has been overlooked so far in online mental health interventions. Analytics can drive intelligent indicators [ 63 ] to build smart mindfulness virtual communities [ 64 ] that display indicators and predictors using user-friendly visualisation tools [ 65 ]. The presence of analytics and machine learning would be important to explore in future online mindfulness interventions targeting medical students.…”

Section: The Community Dimension In Online Interventionsmentioning

confidence: 99%

Effectiveness of online mindfulness interventions on medical students’ mental health: a systematic review

Yogeswaran

Morr

2021

BMC Public Health

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Background Medical school typically presents students with a combination of academic and personal stressors that may lead to substandard mental health wellbeing. Meditation practices such as mindfulness facilitate a greater awareness of one's thoughts and feelings, thereby decreasing emotional reactivity. The use of mindfulness-based interventions delivered online has considerable potential in fostering self-care and helping medical students to handle mental health challenges. We examined the available evidence on the use of online mindfulness interventions in order to determine whether they are feasible and effective for improving medical students’ mental health. Methods We performed a systematic review guided by PRISMA guidelines and utilised the following databases: ProQuest, Medline, PubMed, PsycINFO, Web of Science, IEEE Explore, Cochrane, and CINAHL. The key search terms used include mindfulness, cognitive behavioural therapy, acceptance and commitment therapy, online, web, virtual, internet cyber, app, medical students, residency students, and residents. English-language articles published in the last ten years that described online interventions for medical students or residents were included in the review. Results Two studies describing the impact of online mindfulness interventions on medical students’ mental health were identified. Research in this domain is nascent; available qualitative and quantitative evidence suggests benefits in self-compassion, perceived stress, cognitive skill use, mindfulness, creating coping mechanisms, and greater awareness of emotions and feelings. There was no evidence of the effectiveness of online mindfulness interventions on depression, anxiety and burnout. There was, however, general low program usage and participation tended to diminish near the conclusion of the interventions. Conclusions The evidence found in the systematic review exhibits the potential for online mindfulness interventions to be effective in addressing some mental health challenges of medical students. There was insufficient evidence to support the use of online mindfulness interventions for burnout, depression, and anxiety. Longitudinal studies with randomised controlled trials are required to generate stronger and robust evidence.

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Section: The Community Dimension In Online Interventionsmentioning

confidence: 99%

Effectiveness of online mindfulness interventions on medical students’ mental health: a systematic review

Yogeswaran

Morr

2021

BMC Public Health

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“…In the healthcare sector, professionals today have access to vast amounts of data in the form of staff records, electronic patient records, clinical findings, diagnoses, prescription drugs, medical imaging procedures, mobile health, available resources, etc. Managing the data and analysing it to properly understand it and using it to make well-informed decisions is a challenge for managers and healthcare professionals (El Morr and Ali-Hassan, 2019). In this context, big data analytics within the broader concept of I4 can be used to identify, process and analyse various types of data available in a healthcare organization which can be incorporated as antecedents and enablers of pre-medical diagnosis.…”

Section: Research Backgroundmentioning

confidence: 99%

Adoption of Industry 4.0 and lean concepts in hospitals for healthcare operational performance improvement

Ilangakoon

Weerabahu

Samaranayake

et al. 2021

IJPPM

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PurposeThis paper proposes the adoption of Industry 4.0 (I4) technologies and lean techniques for improving operational performance in the healthcare sector.Design/methodology/approachThe research adopted a systematic literature review and feedback of healthcare professionals to identify the inefficiencies in the current healthcare system. A questionnaire was used to get feedback from the patients and the hospital staff about the current practices and issues, and the expected impact of technology on existing practices. Data were analysed using descriptive statistics, correlation analysis and multiple regression analysis.FindingsThe results indicate that I4 technologies lead to the improvement of the operational performance, and the perceptions about I4 technologies are made through the pre-medical diagnosis. However, a weak correlation between lean practices and healthcare operational performance compared to that of I4 technologies and operational performance indicate that lean practices are not fully implemented in the Sri Lankan healthcare sector to their full potential.Research limitations/implicationsThis study is limited to two government hospitals, with insights from only the doctors and nurses in Sri Lanka. Furthermore, the study is limited to only selected aspects of I4 technologies (big data, cloud computing and IoT) and lean concepts (value stream mapping and 5S). Therefore, recommendations on the adoption of I4 technologies in the healthcare sector need to be made within the scope of the study investigation.Practical implicationsThe implementation of I4 technologies needs careful consideration of process improvement as part of the overall plan for achieving the maximum benefits of technology adoption.Originality/valueThe findings of the research can be used as a benchmark/guide for other hospitals to explore the adoption of I4 technologies, and how process improvement from lean concepts could influence the overall operational performance.

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“…Chanchaichujit et al [11] the paper present with the encapsulation of the internet of things and the data analytics health care, data flow in the health and its usage to explain the effective changes it can cause in the health care, the paper also explains the challenges incurred in implementing of the big-data. El Morr et al [12] the need for the analysis of the data and the business intelligence in health care is explained in this paper, the decision making assisted by the data analytics based on the past and the predictive analysis to improve the health care is also explained in it.…”

Section: Related Workmentioning

confidence: 99%

Big Data Business Analytics as a Strategic Asset for Health Care Industry

Smys

Joe

2019

JISMAC

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The big data includes the enormous flow of data from variety of applications that does not fit into the traditional data base. They deal with the storing, managing and manipulating of the data acquired from various sources at an alarming rate to gather valuable insights from it. The big data analytics is used provide with the new and better ideas that pave way to the improvising of the business strategies with its broader, deeper insights and frictionless actions that leads to an accurate and reliable systems. The paper proposes the big data analytics for the improving the strategic assets in the health care industry by providing with the better services for the patients, gaining the satisfaction of the patients and enhancing the customer relationship.

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Healthcare, Data Analytics, and Business Intelligence

Cited by 16 publications

References 22 publications

Effectiveness of online mindfulness interventions on medical students’ mental health: a systematic review

Effectiveness of online mindfulness interventions on medical students’ mental health: a systematic review

Adoption of Industry 4.0 and lean concepts in hospitals for healthcare operational performance improvement

Big Data Business Analytics as a Strategic Asset for Health Care Industry

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