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Information governance for healthcare professionals : a practical approach
\"Like other critical organizational assets, information is a strategic asset that requires high level of oversight in order to be able to effectively use it for organizational decision-making, performance improvement, cost management, and risk mitigation. Adopting an information governance program shows a healthcare organization's commitment to managing its information as a valued strategic asset. Information governance serves the dual purpose of optimizing the ability to extract clinical and business value from healthcare information while meeting compliance needs and mitigating risk. Healthcare organizations that have information governance programs will have a competitive edge over others and contributes to safety and quality of care, population health, operational efficiency and effectiveness, and cost reduction initiatives. This is a much-needed book in the healthcare market space. It will explain, in clear terms, how to develop, launch, and oversee an Information Governance program. It also provides advice and insights from leading IG, cybersecurity and information privacy professionals in healthcare\"-- Provided by publisher.
Book
Clinical characteristics and treatment resource utilization among patients with substance use disorders: A comparative study of individuals who misuse pharmaceuticals and use illegal drugs
Aim In Japan, drug‐related issues are diverse, and the use of cannabis and pharmaceuticals is rising. This study aimed to clarify the differences in clinical characteristics and treatment resource utilization by drug type. Methods We analyzed data from 891 individuals from the 2024 Nationwide Psychiatric Hospital Survey, which comprised 368 who used methamphetamine or cannabis (illegal drug group) and 523 who used hypnotics, anti‐anxiety, or over‐the‐counter medications (pharmaceutical group). Clinical characteristics and use of treatment resources were compared by estimating risk differences and conducting logistic regression analyses. Results The pharmaceutical group had more young women, individuals who engaged in self‐harm, and those with comorbid psychiatric disorders than the illegal drug group. The illegal drug group had more males and individuals aged 30 years or older, with many meeting criteria for dependence syndrome. Moreover, they showed significantly higher use of outpatient group therapy, self‐help groups, and rehabilitation facilities. In the logistic regression analysis, the pharmaceutical group was independently associated with female sex, self‐harm, and comorbid psychiatric disorders, and were less likely to use outpatient group therapy but more likely to have a history of psychiatric hospitalization. Conclusion Illegal drug users more frequently accessed addiction‐specific services, whereas pharmaceutical users were more likely to receive psychiatric interventions. This suggests that pharmaceutical users have difficulty accessing traditional rehabilitation resources. Therefore, there is a need for a more comprehensive system that collaborates with general psychiatric care and offers flexible and tailored support.
Journal Article
The creative destruction of medicine : how the digital revolution will create better health care
A professor of medicine reveals how technology like wireless internet, individual data, and personal genomics can be used to save lives.
Book
The Divergence of Inequality in Healthcare Utilization Between Poor- and Rich-Medical Resource Regions: Evidence from the Middle-Aged and Older Adults in China
The healthcare utilization inequality among middle-aged and older adults has been a serious concern shared in the aging process. Successful policy implementation regarding the supply of medical resources and the targeted welfare is an important means to alleviate the healthcare utilization inequalities. However, the effectiveness of the current efforts remains unclear. This study employed self-organizing map and concentration index to explore inequalities in healthcare utilization between age subgroups in similar healthcare settings. The results suggest that utilization inequalities in rich-medical resource regions are not necessarily smaller than those in poor-medical resource regions, which the inpatient and preventive care utilization support the idea. And inequalities of healthcare utilization in rich-medical resource regions show age-lag compared with that in poor-medical resource regions, which indicates a higher level of accessibility to rich medical resources. But rich medical resources still fail to better protect the adults aged 70 and above. The economy, education, and health status, as key contributing factors to the unequal utilization of healthcare, may exacerbate their contribution to inequality in rich-medical resource regions. So a rich supply of healthcare does not necessarily have a one-way positive impact on alleviating inequality in the healthcare utilization. It needs to be combined with other factors to better alleviate inequality. Welfare policy with targeted groups needs to be wary of whether it will lead to greater inequalities. It also called for popularizing free seminar, comprehensive outpatient health management, and serious illness insurance.
Journal Article
Heal the Earth
Encourages the reader to join in an imaginary journey aboard a magical plane, the White Feather Flier, to help sick and hungry children, restore coral reefs and rain forests, and more. Includes a note from the author about The White Feather Foundation.
Book
Assessing the relationship between the hospital grading system and medical resource utilization: evidence from China
Background
Improving medical resource utilization is a significant global challenge. In China, the hospital grading system serves as a key policy to promote collaboration and division of labor among institutions of different grades, with the goal of enhancing the overall performance. However, the medical resource utilization in China remains suboptimal. This study examines the relationship between the hospital grading system and medical resource utilization, offering insights for advancing the healthcare system.
Methods
Using data from 31 provinces in China spanning 2010 to 2019, this study applies a dynamic panel data model to analyze the relationship between the hospital grading system and medical resource utilization. In addition, a mechanism analysis explores how the hospital grading system may influence utilization through the structure of resource allocation.
Results
The hospital grading system demonstrates a significant negative association with the utilization of both outpatient and inpatient medical resources, with the impact varying across regions and levels of resource endowment. Furthermore, disparities in the allocation of resources between hospitals and primary healthcare institutions constitute a key mechanism through which the hospital grading system undermines overall utilization.
Conclusions
This study finds that the hospital grading system is associated with a reduction in medical resource utilization in China. The results provide evidence to inform reforms aimed at revising hospital grading system standards, optimizing medical resource allocation and improving overall system performance in China, while also offering potential lessons for other countries facing similar healthcare challenges.
Journal Article
Regional disparities and influencing factors of high quality medical resources distribution in China
Background
With the gradual increase of residents’ income and the continuous improvement of medical security system, people’s demand for pursuing higher quality and better medical and health services has been released. However, so far little research has been published on China's high quality medical resources (HQMR). This study aims to understand the spatiotemporal variation trend of HQMR from 2006 to 2020, analyze regional disparity of HQMR in 2020, and further explore the main factors influencing the distribution of HQMR in China.
Methods
The study selected Class III level A hospitals (the highest level medical institutions in China) to represent HQMR. Descriptive statistical methods were used to address the changes in the distribution of HQMR from 2006 to 2020. Lorentz curve, Gini coefficient (G), Theil index (T) and High-quality health resource density index (HHRDI) were used to calculate the degree of inequity. The geographical detector method was used to reveal the key factors influencing the distribution of HQMR.
Results
The total amount of HQMR in China had increased year by year, from 647 Class III level A hospitals in 2006 to 1580 in 2020. In 2020, G for HQMR by population was 0.166, while by geographic area was 0.614. T was consistent with the results for G, and intra-regional contribution rates were higher than inter-regional contribution rates. HHRDI showed that Beijing, Shanghai, and Tianjin had the highest allocated amounts of HQMR. The results of the geographical detector showed that total health costs, government health expenditure, size of resident populations, GDP, number of medical colleges had a significant impact on the spatial distribution of HQMR and the q values were 0.813, 0.781, 0.719, 0.661, 0.492 respectively. There was an interaction between the influencing factors.
Conclusions
China's total HQMR is growing rapidly but is relatively inadequate. The distribution of HQMR by population is better than by geography, and the distribution by geography is less equitable. Population size and geographical area both need to be taken into account when formulating policies, rather than simply increasing the number of HQMR.
Journal Article
Transmission dynamics of COVID-19 in Wuhan, China: effects of lockdown and medical resources
Due to the strong infectivity of COVID-19, it spread all over the world in about three months and thus has been studied from different aspects including its source of infection, pathological characteristics, diagnostic technology and treatment. Yet, the influences of control strategies on the transmission dynamics of COVID-19 are far from being well understood. In order to reveal the mechanisms of disease spread, we present dynamical models to show the propagation of COVID-19 in Wuhan. Based on mathematical analysis and data analysis, we systematically explore the effects of lockdown and medical resources on the COVID-19 transmission in Wuhan. It is found that the later lockdown is adopted by Wuhan, the fewer people will be infected in Wuhan, and nevertheless it will have an impact on other cities in China and even the world. Moreover, the richer the medical resources, the higher the peak of new infection, but the smaller the final scale. These findings well indicate that the control measures taken by the Chinese government are correct and timely.
Journal Article