Leadership is important to health science education. For program effectiveness, directors should possess leadership skills to appropriately lead and manage their departments. Therefore, it is important to explore the leadership styles of programs' leaders as health science education is undergoing reform. Program directors of two and four-year health information management programs were surveyed to determine leadership styles. The study examined leadership styles or frames, the number of leadership frames employed by directors, and the relationship between leadership frames and their perceptions of their effectiveness as a manager and as a leader. The study shows that program directors are confident of their human resource and structural skills and less sure of the political and symbolic skills required of leaders. These skills in turn are correlated with their self-perceived effectiveness as managers and leaders. Findings from the study may assist program directors in their career development and expansion of health information management programs as a discipline within the health science field. As academic health centers receive greater pressure from the Institute of Medicine and accrediting agencies to reform health science education, the question of leadership arises. These centers have taken a leadership role in reforming health professional education by partnering with educational institutions to improve the health of communities. To achieve health education reform, health sciences educators must apply effective leadership skills.1 College and university leadership is challenged on how to best approach educational reform across health science fields. This article discusses leadership styles employed by program directors of one health science department, health information management, in directing programs for health science education reform.
Accurate and timely health information is a crucial element in the medical decision making process during a medical encounter. Inadequate or misleading patient health information can lead to medical errors, inaccurate decision making, and increased cost. Providing physicians with access to every detail of a patient's medical history is difficult. Striking the balance between adequate and effective amounts of information is difficult. The Personal Health Record and Continuity of Care Record have emerged as concepts to support that balance. This paper reviews recently published literature on (1) approaches to personal health information management, (2) distinctions between terms and definitions describing patient health information, its format, its availability, and its accessibility, (3) guidelines, studies, or standards to support the rationale of patient information data elements that should be available to the provider for any medical encounter, and (4) identification of the most important needs for patient health information that should be addressed. The purpose of the review is to clarify the benefits and detriments of the different approaches as well as to provide some recommendations for the right model of patient health information management, focusing on the idea of the appropriate health information being available when needed.
Cancer patients often need to manage care-related information when they are away from home, when they are experiencing pain or treatment side effects, or when their abilities to deal with information effectively are otherwise impaired. In this paper, we describe the results from a four-week evaluation of HealthWeaver Mobile, a mobile phone application that we developed to support such "unanchored" patient information activities. Based on experiences from nine cancer patients, our results indicate that HealthWeaver Mobile can help patients to access care-related information from anywhere, to capture information whenever a need arises, and to share information with clinicians during clinic visits. The enhanced ability to manage information, in turn, helps patients to manage their care and to feel more confident in their ability to stay in control of their information and their health.
Personal health information management (PHIM) refers to activities that support consumers' access, integration, organization, and use of their personal health information. We investigated PHIM in the health consumer population using a focus group and participatory design. In collaboration with health consumers, we identified PHIM activities and explored the design of new supportive technology. Our findings describe prominent PHIM activities such as monitoring and assessing health, as well as health-related decision making, planning, and action. We describe design principles our participants used during the participatory design of a PHIM tool. These include individual control, sharing, integration, security and flexibility. These findings provide new insights into emerging ideas in consumer health informatics research and technology design. Understanding health consumers' PHIM needs is an important step in creating technology to support these needs.
The personal health information management (PHIM) practices and needs of older adults are poorly understood. We describe initial results from the UW SOARING project (Studying Older Adults & Researching Information Needs and Goals), a participatory design investigation of PHIM in older adults (60 years and older). We conducted in-depth interviews with older adults (n=74) living in a variety of residential settings about their management of personal health information. A surprising 20% of participants report using patient portals and another 16% reported prior use or anticipated use of portals in the future. Participants cite ease of access to health information and direct communication with providers as valuable portal features. Barriers to the use of patient portals include a general lack of computer proficiency, high internet costs and security concerns. Design features based on consideration of needs and practices of older adults will facilitate appeal and maximize usability; both are elements critical to adoption of tools such as patient portals that can support older adults and PHIM.
Evaluation of the impact and effectiveness of courses is necessary so that strengths and weaknesses can be identified and improvements made. This article uses Kirkpatrick's evaluation framework to present a model that health information management (HIM) instructors can use to improve upon the standard course evaluation form. Kirkpatrick's model stresses evaluation on the levels of reaction, learning, behavior, and results. The proposed course evaluation model addresses the first three of these levels and focuses on the conditions necessary for transfer of learned knowledge and skills into on-the-job application. The article provides concrete tips that HIM instructors can apply in the process of evaluating the effectiveness of their courses and programs.
The objective is to understand the role of information management systems in the public health perspective of primary care units more accurately. A public health information management system for primary medical units, which is based on electronic health records, virtual private network technology, real-time data storage, and other technologies, is designed on the premise of economical and straightforward operation. Besides, Xinhua Community Health Service Center Around the Wulong Street, Longsha District, Qiqihar City is selected as the experimental unit of the public health information management system, and the work efficiency of the system in the public health perspective of the primary medical unit is evaluated after 12 months of system operation. The public health information management system of primary medical units has following comprehensive management functions: health record management, child health, maternal health, health of the elderly, health of patients with chronic diseases, health of severe psychiatric patients, health education, infectious diseases and public emergencies, health events, health supervision, and management information. In addition, after 12 months of information management system operates in the grassroots units, the results show that patients and doctors have a very high satisfaction rate with the system. The system not only cultivates the excellent health and disease prevention awareness of residents but also improves the efficiency of primary care institutions, as well as reducing the number of patients seeking medical cares. The public health information management system of primary health care units based on medical and health information design is rich in functions with prominent work efficiency, which significantly improves the public health of grass-roots medical units. The research is useful and significant for follow-up studies on public health care systems.
Health is considered an important foundation for students’ success. However, with the accelerated pace of life, rising pressure from various parties, weak health awareness, lack of exercise time, and other reasons, students’ physical quality is generally declining, the incidence of health diseases is increasing, and the onset age tends to be younger. With the development of the concept of “health first,” health management continues to expand and extend and students’ health management has attracted more attention from many aspects. Due to the late and low starting point of health management research and the lack of professional theoretical support, a complete, mature, and effective health management service system has not been established to deal with the students’ health. In order to make student health management more scientific, normative, and effective, this article has proposed big data technology to build the student health information management model. The first step of the approach is to store and analyze the data of students’ physical health. It is necessary to combine the data collection, supervision, data analysis, and data application of students’ physical health and gradually improve the national monitoring and evaluation system of students’ physical health. Student health check-up management platform is mainly used in realizing the school student information management and student health information relationship between system, science, standardization, and automation, and its main task is to use a computer to perform daily management of all previous medical information of students, such as query, modify, add, delete, and enhance the physical health of students information management ability given the large data analysis of useful information. In addition, we have built a doctor recommendation model based on online questions and answers to give specific health recommendations for students of different physiques.
PURPOSE: Diabetes self-management is essential for diabetes control, yet little is known about patient preferences for sources of health information or about the extent to which information is sought directly or received passively through various media sources. The aim of this qualitative study was to identify how individuals with diabetes seek and use health care information. METHODS: Using a health information model to guide our research, we conducted 9 focus groups with 46 adults with a diagnosis of diabetes and then analyzed the transcripts and notes from these focus groups. RESULTS: Five themes emerged: (1) passive receipt of health information about diabetes is an important aspect of health information behavior; (2) patients weave their own information web depending on their disease trajectory; (3) patients' personal relationships help them understand and use this information; (4) a relationship with a health care professional is needed to cope with complicated and sometimes conflicting information; and (5) health literacy makes a difference in patients' ability to understand and use information. CONCLUSIONS: Patients make decisions about diabetes self-management depending on their current needs, seeking and incorporating diverse information sources not traditionally viewed as providing health information. Based on our findings, we have developed a new health information model that reflects both the nonlinear nature of health information-seeking behavior and the interplay of both active information seeking and passive receipt of information.
A shift towards decentralization in many low-income countries has meant more skills are demanded of primary health care managers, including data and information handling at all levels of the health care system. Ministries of Health are changing their central reporting health information systems to health management information systems with emphasis on managers utilizing information at the point of collection. This paper reports on a research study to investigate the introduction of new information management strategies intended to promote an informational approach to management at the operational health service level in low-income countries. It aims to understand the process taking place when externally developed training materials (PHC MAP), which are intended to strengthen health management information systems, are introduced to potential users in an east African country. A case study has been undertaken and this research has demonstrated that the dynamic equilibrium approach to organizational change is applicable to the introduction of new information management strategies and management approaches in low-income countries. Although PHC MAP developers envisaged a technical innovation needing implementation, potential users saw the situation as one of organizational change. Contributions to theory have been made and many implications for introducing new information systems or the informational approach to management are identified. This theoretical framework could also facilitate the introduction of future information management innovations and would allow practitioners to perceive the introduction of information management innovations as one of organizational change that needs to be managed. Consequently, issues that may facilitate or inhibit adoption could be identified in advance.
BACKGROUND: A critical problem for patients with chronic conditions who see multiple health care providers is incomplete or inaccurate information, which can contribute to lack of care coordination, low quality of care, and medical errors. OBJECTIVE: As part of a larger project on applications of consumer health information technology (HIT) and barriers to its use, we conducted a semistructured interview study with patients with multiple chronic conditions (MCC) with the objective of exploring their role in managing their personal health information. METHODS: Semistructured interviews were conducted with patients and providers. Patients were eligible if they had multiple chronic conditions and were in regular care with one of two medical organizations in New York City; health care providers were eligible if they had experience caring for patients with multiple chronic conditions. Analysis was conducted from a grounded theory perspective, and recruitment was concluded when saturation was achieved. RESULTS: A total of 22 patients and 7 providers were interviewed; patients had an average of 3.5 (SD 1.5) chronic conditions and reported having regular relationships with an average of 5 providers. Four major themes arose: (1) Responsibility for managing medical information: some patients perceived information management and sharing as the responsibility of health care providers; others—particularly those who had had bad experiences in the past—took primary responsibility for information sharing; (2) What information should be shared: although privacy concerns did influence some patients' perceptions of sharing of medical data, decisions about what to share were also heavily influenced by their understanding of health and disease and by the degree to which they understood the health care system; (3) Methods and tools varied: those patients who did take an active role in managing their records used a variety of electronic tools, paper tools, and memory; and (4) Information management as invisible work: managing transfers of medical information to solve problems was a tremendous amount of work that was largely unrecognized by the medical establishment. CONCLUSIONS: We conclude that personal health information management should be recognized as an additional burden that MCC places upon patients. Effective structural solutions for information sharing, whether institutional ones such as care management or technological ones such as electronic health information exchange, are likely not only to improve the quality of information shared but reduce the burden on patients already weighed down by MCC.
Recent government initiatives to deploy health information technology in the USA, coupled with a growing body of scholarly evidence linking online heath information and positive health-related behaviors, indicate a widespread belief that access to health information and health information technologies can help reduce healthcare inequalities. However, it is less clear whether the benefits of greater access to online health information and health information technologies is equitably distributed across population groups, particularly to those who are underserved. To examine this issue, this article employs the 2007 Health Information National Trends Survey (HINTS) to investigate relationships between a variety of socio-economic variables and the use of the web-based technologies for health information seeking, personal health information management and patient-provider communication within the context of the USA. This study reveals interesting patterns in technology adoption, some of which are in line with previous studies, while others are less clear. Whether these patterns indicate early evidence of a narrowing divide in eHealth technology use across population groups as a result of the narrowing divide in Internet access and computer ownership warrants further exploration. In particular, the findings emphasize the need to explore differences in the use of eHealth tools by medically underserved and disadvantaged groups. In so doing, it will be important to explore other psychosocial variables, such as health literacy, that may be better predictors of health consumers' eHealth technology adoption.
As in many developing countries, lack of reliable data and grossly inadequate appreciation and use of available information in planning and management of health services were two main weaknesses of the health information systems in Malawi. Malawi began strengthening its health management information system with an analysis of the strengths and weaknesses of existing information systems, sharing findings with all stakeholders. All were agreed on the need for reformation of various, vertical programme-specific information systems into a comprehensive, integrated, decentralized and action-oriented simple system. As a first step towards conceptualization and design of the system, a minimum set of indicators was identified and a strategy was formulated for establishing a system in the country. The design focused only on the use of information in planning, management and the improvement of quality and coverage of services. All health and support personnel were trained, employing a training of trainers cascade approach. Information management and use was incorporated into the pre-service training curriculum and the job description of all health workers and support personnel. Quarterly feedback, supportive supervision visits and annual reviews were institutionalized. Civil society organizations were involved in monitoring coverage of health services at local levels. A mid-term review of the achievements of the health information system judged it to be one of the best in Africa. For the first time in Malawi, the health sector has information by facility by month. Yet very little improvement has been noted in use of information in rationalizing decisions. The conclusion is that, no matter how good the design of an information system, it will not be effective unless there is internal desire, dedication and commitment of leadership to have an effective and efficient health service management system.
This paper explores optimal service resource management strategy, a continuous challenge for health information service to enhance service performance, optimise service resource utilisation and deliver interactive health information service. An adaptive optimal service resource management strategy was developed considering a value co-creation model in health information service with a focus on collaborative and interactive with users. The deep reinforcement learning algorithm was embedded in the Internet of Things (IoT)-based health information service system (I-HISS) to allocate service resources by controlling service provision and service adaptation based on user engagement behaviour. The simulation experiments were conducted to evaluate the significance of the proposed algorithm under different user reactions to the health information service.
The proliferation of consumer health devices such as smart watches, sleep monitors, smart scales, etc, in many countries, has not only led to growing interest in health monitoring, but also to the development of a countless number of ``smart'' applications to support the exploration of such data by members of the general public, sometimes with integration into professional health services. While a variety of health data streams has been made available by such devices to users, these streams are often presented as separate time-series visualizations, in which the potential relationships between health variables are not explicitly made visible. Furthermore, despite the fact that other aspects of life, such as work and social connectivity, have become increasingly digitised, health and well-being applications make little use of the potentially useful contextual information provided by widely used personal information management tools, such as shared calendar and email systems. This paper presents a framework for the integration of these diverse data sources, analytic and visualization tools, with inference methods and graphical user interfaces to help users by highlighting causal conn
OBJECTIVE: Contemporary health care places enormous health information management demands on laypeople. Insights into their skills and habits complements current developments in consumer health innovations, including personal health records. Using a five-element human factors model of work, health information management in the household (HIMH) is characterized by the tasks completed by individuals within household organizations, using certain tools and technologies in a given physical environment. DESIGN: We conducted a descriptive-exploratory study of the work of HIMH, involving 49 community-dwelling volunteers from a rural Midwestern community. MEASUREMENTS: During in-person interviews, we collected data using semistructured questionnaires and photographs of artifacts used for HIMH. RESULTS: The work of HIMH is largely the responsibility of a single individual, primarily engaged in the tasks of acquiring, managing, and organizing a diverse set of health information. Paper-based tools are most common, and residents develop strategies for storing information in the household environment aligned with anticipated use. Affiliative relationships, e.g., parent-child or spousal, within the household serve as the organization that gives rise to health information management practices. Synthesis of these findings led to identification of several storage strategies employed in HIMH. These strategies are labeled "just-in-time," "just-because," "just-in-case," and "just-at-hand," reflecting location of the artifacts of health information and anticipated urgency in the need to retrieve it. CONCLUSION: Laypeople develop and employ robust, complex strategies for managing health information in the home. Capitalizing on these strategies will complement and extend current consumer health innovations to provide functional support to people who face increasing demands to manage personal health information.
There is a lack of effective health information management systems in Nigeria due to the prevalence of cumbersome paper-based and disjointed health data management systems. This can make informed healthcare decision making difficult. This study examined the information technology (IT) skills, utilisation and training needs of Nigerian health information management professionals. We deployed a cross-sectional structured questionnaire to determine the IT skills and training needs of health information management professionals who have leadership roles in the nation's healthcare information systems (n=374). It was found that ownership of a computer, level of education and age were associated with knowledge and perception of IT. The vast majority of participants (98.8%) acknowledged the importance and relevance of IT in healthcare information systems and many expressed a desire for further IT training, especially in statistical analysis. Despite this, few (8.1 %) worked in settings where such systems operate and there exists an IT skill gap among these professionals which is not compatible with their roles in healthcare information systems. To rectify this anomaly they require continuing professional development education, especially in the areas of health IT. Government intervention in the provision of IT infrastructure in order to put into practice a computerised healthcare information system would therefore be a worthwhile undertaking.
OBJECTIVE: To ascertain whether the quality of physician-patient communication makes a significant difference to patient health outcomes. DATA SOURCES: The MEDLINE database was searched for articles published from 1983 to 1993 using "physician-patient relations" as the primary medical subject heading. Several bibliographies and conference proceedings were also reviewed. STUDY SELECTION: Randomized controlled trials (RCTs) and analytic studies of physician-patient communication in which patient health was an outcome variable. DATA EXTRACTION: The following information was recorded about each study: sample size, patient characteristics, clinical setting, elements of communication assessed, patient outcomes measured, and direction and significance of any association found between aspects of communication and patient outcomes. DATA SYNTHESIS: Of the 21 studies that met the final criteria for review, 16 reported positive results, 4 reported negative (i.e., nonsignificant) results, and 1 was inconclusive. The quality of communication both in the history-taking segment of the visit and during discussion of the management plan was found to influence patient health outcomes. The outcomes affected were, in descending order of frequency, emotional health, symptom resolution, function, physiologic measures (i.e., blood pressure and blood sugar level) and pain control. CONCLUSIONS: Most of the studies reviewed demonstrated a correlation between effective physician-patient communication and improved patient health outcomes. The components of effective communication identified by these studies can be used as the basis both for curriculum development in medical education and for patient education programs. Future research should focus on evaluating such educational programs.
The rapid spread of health misinformation on online social networks (OSNs) during global crises such as the COVID-19 pandemic poses challenges to public health, social stability, and institutional trust. Centrality metrics have long been pivotal in understanding the dynamics of information flow, particularly in the context of health misinformation. However, the increasing complexity and dynamism of online networks, especially during crises, highlight the limitations of these traditional approaches. This study introduces and compares three novel centrality metrics: dynamic influence centrality (DIC), health misinformation vulnerability centrality (MVC), and propagation centrality (PC). These metrics incorporate temporal dynamics, susceptibility, and multilayered network interactions. Using the FibVID dataset, we compared traditional and novel metrics to identify influential nodes, propagation pathways, and misinformation influencers. Traditional metrics identified 29 influential nodes, while the new metrics uncovered 24 unique nodes, resulting in 42 combined nodes, an increase of 44.83%. Baseline interventions reduced health misinformation by 50%, while incorporating the new metrics