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Ramezani M, Takian A, Bakhtiari A, Rabiee HR, Ghazanfari S, Sazgarnejad S. Research agenda for using artificial intelligence in health governance: interpretive scoping review and framework. BioData Min 2023; 16:31. [PMID: 37904172 PMCID: PMC10617108 DOI: 10.1186/s13040-023-00346-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 10/07/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND The governance of health systems is complex in nature due to several intertwined and multi-dimensional factors contributing to it. Recent challenges of health systems reflect the need for innovative approaches that can minimize adverse consequences of policies. Hence, there is compelling evidence of a distinct outlook on the health ecosystem using artificial intelligence (AI). Therefore, this study aimed to investigate the roles of AI and its applications in health system governance through an interpretive scoping review of current evidence. METHOD This study intended to offer a research agenda and framework for the applications of AI in health systems governance. To include shreds of evidence with a greater focus on the application of AI in health governance from different perspectives, we searched the published literature from 2000 to 2023 through PubMed, Scopus, and Web of Science Databases. RESULTS Our findings showed that integrating AI capabilities into health systems governance has the potential to influence three cardinal dimensions of health. These include social determinants of health, elements of governance, and health system tasks and goals. AI paves the way for strengthening the health system's governance through various aspects, i.e., intelligence innovations, flexible boundaries, multidimensional analysis, new insights, and cognition modifications to the health ecosystem area. CONCLUSION AI is expected to be seen as a tool with new applications and capabilities, with the potential to change each component of governance in the health ecosystem, which can eventually help achieve health-related goals.
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Affiliation(s)
- Maryam Ramezani
- Department of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Health Equity Research Centre (HERC), Tehran University of Medical Sciences, Tehran, Iran
| | - Amirhossein Takian
- Department of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
- Health Equity Research Centre (HERC), Tehran University of Medical Sciences, Tehran, Iran.
- Department of Global Health and Public Policy, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
| | - Ahad Bakhtiari
- Health Equity Research Centre (HERC), Tehran University of Medical Sciences, Tehran, Iran
| | - Hamid R Rabiee
- Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
| | - Sadegh Ghazanfari
- Department of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Saharnaz Sazgarnejad
- School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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Jiang L, Wei S, Sam Saji A, Li J, Che G. An Analysis of Public Perception and Concern Toward Electronic Cigarettes: Exploring Attitudes and Profiles. Cureus 2023; 15:e47983. [PMID: 38034205 PMCID: PMC10686318 DOI: 10.7759/cureus.47983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 10/30/2023] [Indexed: 12/02/2023] Open
Abstract
Introduction The emergence of electronic cigarettes (e-cigarettes) poses a new challenge to tobacco control efforts. With their increasing popularity, particularly among youth, public concerns have been raised in Mainland China. Further investigation is necessary to fully understand the safety and potential adverse effects of e-cigarettes. Methods The Baidu search index (BSI) was employed using e-cigarette related terms from January 1, 2011, to April 4, 2022. The search volume for each term was recorded and analyzed for the search trend module, geodemographic module, search-demand module, regional preferences, demographic preferences, and user demand. Results According to our analysis, the total BSI for the 18 e-cigarette related search keywords was 39,027,819. The average annual percentage change of BSI indicated an upward trend for each of these categories, including health issues (p < 0.05), definition (p < 0.05), product and promotions (p < 0.05), and policy and regulations. Of all inquiries, 59.38% originated from females and 40.62% from males. The total valid BSI for e-cigarette related words was 165,076,588, and 11.59% of all search inquiries were from individuals aged 19 years and younger. Our analysis also revealed that the public's primary concerns regarding e-cigarettes were related to their quality and potential health issues. Conclusions E-cigarettes enjoy great popularity nationwide, but product quality and safety are major public concerns. Regulation of e-cigarettes for their standard production, quality control, advertisement, and target customers should be implemented promptly, and the public needs to have a clear perception of e-cigarettes, especially adolescents. E-cigarette related health damages or consequences require further investigation, and advertisements and promotions for e-cigarettes should be strictly controlled by the government.
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Affiliation(s)
- Lisha Jiang
- Department of Oncology, Day Surgery Center, West China Hospital, Sichuan University, Chengdu, CHN
| | - Shanzun Wei
- Urology, The Second Affiliated Hospital of Nanchang University, Nanchang, CHN
| | - Alen Sam Saji
- Department of Internal Medicine, Day Surgery Center, West China Medical School of Sichuan University, Chengdu, CHN
| | - Jue Li
- Department of Thoracic Surgery, Lung Cancer Center, West China Medical School of Sichuan University, Chengdu, CHN
| | - Guowei Che
- Department of Thoracic Surgery, Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, CHN
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Siamian H, Ramezani‐Pakpour‐Langeroudi F, Ramezani A, Mehdizadeh H. A comparative study of scientific collaborations in medical informatics, health information management, medical librarianship, and information sciences among Iranian research communities: A bibliometric study. Health Sci Rep 2023; 6:e1474. [PMID: 37564398 PMCID: PMC10411050 DOI: 10.1002/hsr2.1474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 07/04/2023] [Accepted: 07/23/2023] [Indexed: 08/12/2023] Open
Abstract
Background and Aim Scientific collaborations play a vital role in advancing research in various disciplines, including medical informatics, health information management, medical librarianship, and information sciences. This study aims to provide an overview of Iranian researchers' scientific output in three disciplines and their collaboration networks. Methods The study utilized data from Scopus database and analyzed 2086 records of Iranian researchers' research outcomes over 10 years. Each article's citations were averaged to determine its impact factor. The study also reviewed the number of articles and citations in the past decade. Results The findings show that scientific output in the disciplines of medical informatics, health information management, medical librarianship, and information sciences has significantly increased among Iranian researchers in the past decade. The analysis of collaboration networks indicates a strong connection between these disciplines, with medical informatics having the highest degree of collaboration. Conclusion This study provides valuable insights into the scientific collaborations among Iranian researchers in medical informatics, health information management, medical librarianship, and information sciences. The findings can be used to inform future research and collaboration initiatives in these disciplines. The results suggest that Iranian researchers in these disciplines have made significant progress in scientific output and collaboration. However, further efforts are required to improve the quality and impact of their research.
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Affiliation(s)
- Hasan Siamian
- Department of Health Information Technology, School of Allied Medical Sciences, Health Sciences Research Center, Addiction InstituteMazandaran University of Medical SciencesSariIran
| | | | - Aboozar Ramezani
- Department of Scientific Publications and Information Development Center (SPIDC), Vice Chancellery for Research & TechnologyIran Ministry of Health and Medical EducationTehranIran
| | - Hamed Mehdizadeh
- Department of Health Information TechnologyMazandaran University of Medical SciencesSariIran
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Chen X, Wu X, Zhang Q, Jing R, Cheng W, Tian J, Jin C. The construction and operational models of internet hospitals in China: a hospital-based survey study. BMC Health Serv Res 2023; 23:669. [PMID: 37344831 DOI: 10.1186/s12913-023-09675-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 06/08/2023] [Indexed: 06/23/2023] Open
Abstract
BACKGROUND China has empowered and continues to empower internet hospitals, which saw an increase in their development due to the pandemic, to fight against COVID-19. The construction and operational models of internet hospitals can be categorized as self-constructed and self-managed models, self-constructed and enterprise-run models, hospital and enterprise joint-owned models, and hosted by a third-party platform. Despite the growing importance of internet hospitals, there have been few systematic summaries of their construction and operational models. The primary purpose of the study was to understand the construction and operational models of internet hospitals in China. METHODS Data was collected from 39 internet hospitals and 356 medical staff between September 2020 and April 2021, via internet hospital and hospital staff surveys. T-tests were used to compare the continuous variables, while Chi-square tests were employed to compare the proportions of categorical variables. The self-perception of the internet hospitals' services was assessed using a 5-point Likert scale on 16 aspects and a root cause analysis was conducted to identify the root causes and influencing factors of current deficiencies experienced by internet hospitals. RESULTS Among the 39 internet hospitals, 22 (56.4%) were self-constructed and self-managed. Compared to other models of Internet hospitals, self-constructed and self-managed hospitals had lower percentages of professionals providing online services (P = 0.006), numbers of doctors outside of the entity (P = 0.006), numbers of online nurses (P = 0.004), and the ratio of online nurses to offline doctors (P < 0.001). Of the 16 aspects evaluated with regards to the medical staff's self-perception of the internet hospital services, the highest scores were given for fee transparency, fee rationality, travel cost capital, patience and responsibility, and consultation behaviors. The root causes included five aspects: human, channels, prices, services, and time. CONCLUSIONS While the self-constructed and self-managed model was found to be the most prevalent form of internet hospital in China, the different models of internet hospitals can have an impact on both the quantity and quality of online healthcare services. This study contributes to the existing literature on internet hospitals' construction and operational models, offering additional policy implications for telemedicine management.
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Affiliation(s)
- Xuejiao Chen
- Institute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Haizhu District, No.466 Xingangzhong Road, Guangzhou, Guangdong, 510317, China
| | - Xinxia Wu
- Peking University Third Hospital, Beijing, China
| | - Qihang Zhang
- London School of Hygiene and Tropical Medicine, University of London, London, UK
| | - Ran Jing
- Institute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Haizhu District, No.466 Xingangzhong Road, Guangzhou, Guangdong, 510317, China
| | - Weibin Cheng
- Institute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Haizhu District, No.466 Xingangzhong Road, Guangzhou, Guangdong, 510317, China.
- School of Data Science, City University of Hong Kong, Hong Kong S.A.R, China.
| | - Junzhang Tian
- Institute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Haizhu District, No.466 Xingangzhong Road, Guangzhou, Guangdong, 510317, China
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Sofjan IP, Salik I, Panzica PJ. SAP BusinessObjects in Medical Informatics. Cureus 2023; 15:e40208. [PMID: 37435258 PMCID: PMC10331897 DOI: 10.7759/cureus.40208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/10/2023] [Indexed: 07/13/2023] Open
Abstract
Electronic health record (EHR) generates a large amount of data filled with opportunities to enhance documentation compliance, quality improvement, and other metrics. Various software tools exist, but many clinicians are unaware of them. Our institution switched from a hybrid of paper and multiple small EHRs to one all-inclusive EHR system. We faced significant challenges beyond the typical new software deployment phase that affected our departmental regulatory compliance, quality measures, and research initiatives. We aimed to navigate these issues through the use of medical informatics. We used a multidimensional database software analysis tool called SAP BusinessObjects® (SAP SE. Released 2020. SAP BusinessObjects, Version 14.2.8.3671. Waldorf, Germany) to design automated queries for the patient database to generate various reports for our department. As a result, We improved our anesthesia documentation non-compliance from 13-17% of all cases to 4% within months. We have also used this tool to automatically generate various reports such as preoperative beta-blocker administrations, caseloads, case complications, procedure logs, and medication records. Even today many departments rely on manual checks for even the most basic documentation and quality metric compliance, which can be time consuming and costly. Using medical informatics tools is a highly efficient alternative. Fortunately, many software tools exist within most modern EHR packages, and most people can learn to use these tools productively.
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Affiliation(s)
- Iwan P Sofjan
- Anesthesiology, Westchester Medical Center, Valhalla, USA
| | - Irim Salik
- Anesthesiology, Westchester Medical Center, Valhalla, USA
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Diaz J, Martinez F, Calderon JM, Fernandez A, Sauri I, Uso R, Trillo JL, Redon J, Forner MJ. Incidence and impact of atrial fibrillation in heart failure patients: real-world data in a large community. ESC Heart Fail 2022; 9:4230-4239. [PMID: 36111519 PMCID: PMC9773729 DOI: 10.1002/ehf2.14124] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Revised: 07/27/2022] [Accepted: 08/15/2022] [Indexed: 01/19/2023] Open
Abstract
AIMS The objective of the present study is to assess the bidirectional association between heart failure (HF) and atrial fibrillation (AF) using real-world data. METHODS AND RESULTS From an electronic health recording with a population of 3 799 885 adult subjects, those with prevalent or incident HF were selected and followed throughout a study period of 5 years. Prevalence and incidence of AF, and their impact in the risk for acute HF hospitalization, worsening renal function, ischaemic and haemorrhagic stroke, and all-cause mortality were identified. We analysed all incident and prevalent patients with HF and AF, 128 086 patients (S1), and subsequently analysed a subset of patients with incident HF and AF, 57 354 patients (S2). We analysed all incident and prevalent patients with HF and AF, 128 086 patients (S1), and subsequently a subset of patients with incident HF and AF, 57 354 patients (S2). The prevalence of AF was 59 906 (46.7%) of the HF patients, while incidence in the S2 was 231/1000 patients/year. In both cohorts, S1 and S2, AF significantly increases the risk of acute heart failure hospitalization [incidence 79.1/1000 and 97.5/1000 patients/year; HR 1.53 (1.48-1.59 95% CI) and HR 1.32 (1.24-1.41 95% CI), respectively], risk of decreased renal function (eGFR reduced by >20%) [66.2/1000 and 94.0/1000 patients/year; HR 1.13 (1.09-1.18 95% CI) and HR 1.22 (1.14-1.31 95% CI), respectively] and all-cause mortality [203/1000 and 294/1000 patients/year; HR 1.62 (1.58-1.65 95% CI) and HR 1.65 (1.59-1.70 95% CI), respectively]. The number of episodes of hospitalization for acute heart failure was also significantly higher in the AF patients (27 623 vs. 10 036, P < 0.001). However, the risk for ischaemic stroke was reduced in the AF subjects [HR 0.66 (0.63-0.74 95% CI)], probably due to the anticoagulant treatment. CONCLUSIONS AF is associated with an increment in the risk of episodes of acute heart failure as well as decline of renal function and increment of all-cause mortality.
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Affiliation(s)
- Javier Diaz
- Cardiovascular and Renal Research Group, INCLIVA Research InstituteUniversity of ValenciaValenciaSpain
| | - Fernando Martinez
- Cardiovascular and Renal Research Group, INCLIVA Research InstituteUniversity of ValenciaValenciaSpain,Internal Medicine Hospital Clínico de ValenciaValenciaSpain
| | - Jose Miguel Calderon
- Cardiovascular and Renal Research Group, INCLIVA Research InstituteUniversity of ValenciaValenciaSpain
| | - Antonio Fernandez
- Cardiovascular and Renal Research Group, INCLIVA Research InstituteUniversity of ValenciaValenciaSpain
| | - Inmaculada Sauri
- Cardiovascular and Renal Research Group, INCLIVA Research InstituteUniversity of ValenciaValenciaSpain
| | - Ruth Uso
- Cardiovascular and Renal Research Group, INCLIVA Research InstituteUniversity of ValenciaValenciaSpain
| | - Jose Luis Trillo
- Cardiovascular and Renal Research Group, INCLIVA Research InstituteUniversity of ValenciaValenciaSpain
| | - Josep Redon
- Cardiovascular and Renal Research Group, INCLIVA Research InstituteUniversity of ValenciaValenciaSpain,CIBERObn Carlos III InstituteMadridSpain
| | - Maria Jose Forner
- Cardiovascular and Renal Research Group, INCLIVA Research InstituteUniversity of ValenciaValenciaSpain,Internal Medicine Hospital Clínico de ValenciaValenciaSpain
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