scholarly journals The Effectiveness of Health Informatics

Author(s):  
Francesco Paolucci ◽  
Henry Ergas ◽  
Terry Hannan ◽  
Jos Aarts

Health care is complex and there are few sectors that can compare to it in complexity and in the need for almost instantaneous information management and access to knowledge resources during clinical decision-making. There is substantial evidence available of the actual, and potential, benefits of e-health tools that use computerized clinical decision support systems (CDSS) as a means for improving health care delivery. CDSS and associated technologies will not only lead to an improvement in health care but will also change the nature of what we call electronic health records (EHR) The technologies that “define” the EHR will change the nature of how we deliver care in the future. Significant challenges relating to the evaluation of these health information management systems relate to demonstrating their ongoing cost-benefit, cost-effectiveness, and effects on the quality of care and patient outcomes. However, health information technology is still mainly about the effectiveness of processes and process outcomes, and the technology is still not mature, which may lead to unintended consequences, but it remains promising and unavoidable in the long run.

2011 ◽  
pp. 25-49 ◽  
Author(s):  
Francesco Paolucci ◽  
Henry Ergas ◽  
Terry Hannan ◽  
Jos Aarts

Health care is complex and there are few sectors that can compare to it in complexity and in the need for almost instantaneous information management and access to knowledge resources during clinical decision-making. There is substantial evidence available of the actual, and potential, benefits of e-health tools that use computerized clinical decision support systems (CDSS) as a means for improving health care delivery. CDSS and associated technologies will not only lead to an improvement in health care but will also change the nature of what we call electronic health records (EHR) The technologies that “define” the EHR will change the nature of how we deliver care in the future. Significant challenges relating to the evaluation of these health information management systems relate to demonstrating their ongoing cost-benefit, cost-effectiveness, and effects on the quality of care and patient outcomes. However, health information technology is still mainly about the effectiveness of processes and process outcomes, and the technology is still not mature, which may lead to unintended consequences, but it remains promising and unavoidable in the long run.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 2382-2382 ◽  
Author(s):  
Lyndsey Runaas ◽  
Evan Bischoff ◽  
Flora Hoodin ◽  
Rachel Kentor ◽  
Lauren Ostarello ◽  
...  

Abstract Background: The rapid adoption of mobile technology by the public and increased emphasis on patient engagement yields an opportune time to leverage health information technology (IT). Yet, a knowledge deficit exists on the use of health IT tools for high-risk populations. Pediatric blood and marrow transplant (BMT) is a medically complex and intense intervention. We have previously shown that BMT patients and caregivers have significant information needs. As such, caregiver activation on behalf of the patient may play an important role in fostering an effective patient-caregiver-provider partnership, which is increasingly recognized as the optimal model for health care delivery. Anxiety over outcomes, compounded by information overload may limit successful activation. Health IT tools offer the potential to overcome constraints in health care delivery limited by provider time and complex health information. We hypothesized that a tablet-based tool displaying personalized health information, including real-time data from the electronic health record, could provide a platform to promote caregiver activation. The implementation and evaluation of our health IT tool (BMT Roadmap) was based on generation of user-centered needs and in collaboration with a trans-disciplinary team, including experts in BMT, health communications, psychology/health behavior, biostatistics, health informatics, and human-computer interaction research. BMT Roadmap included the following domains: 1) laboratory results; 2) medications; 3) clinical trial enrollment; 4) health care provider directory; 5) phases of transplant; and 6) interactive discharge checklist with professionally produced videos on central line care. Methods: Caregivers of pediatric BMT patients were recruited and enrolled on this IRB-approved study. They were instructed to use BMT Roadmap freely throughout the patient's admission. Data collection included mixed methods approaches. System log-use data were recorded, including number of log-ins, domains frequented, and duration of use. Quantitative survey measurements were obtained at baseline (admission), discharge, and day 100 after BMT. These validated surveys measured activation, mood, anxiety, satisfaction, quality of life, and caregiver distress. In depth qualitative interviews were performed at baseline, weekly during admission, at discharge, and at day 100. Both inductive and deductive analysis was used to identify themes for further study. Results: Ten caregivers participated in the study: 80% female, 90% white, median age 36 years (25-54 years). Transplants were 50% autologous and 50% allogeneic. Median time of use was 104.1 minutes (6.4-256.2 minutes) over 29.5 days (21-68 days). Minutes used and days used were strongly inter-correlated (r=.90, p=0.001) and correlated with inpatient days (r=.70, p=0.05; and r=.81, p=0.01 respectively). The most time spent was in the laboratory module, followed by health care provider directory, medication, and phases of care modules (Table 1). Quantitative survey results showed that trait anxiety (STAI-T) was decreased, caregiver quality of life (CQOL) was improved, and caregiver activation (C-PAM) was increased at discharge compared with baseline (Table 2). The highest level of self-rated activation, as assessed by the C-PAM survey increased from 40% (admission) to 50% (discharge), and reached 85.7% (day 100). Total C-PAM score showed a strong trend toward increased activation from admission to day 100 (p=0.08). Caregivers with higher engagement had less trait anxiety at day 100 (r=.82, p=0.02), but engagement was unrelated to minutes of iPad use, days of iPad use, inpatient days, and caregiver quality of life. Caregivers described the iPad as easy to use and all used it for some portion of their stay (Table 3). Conclusions: Our findings indicate that health IT tools adapted to specific clinical conditions have potential to increase caregiver activation. BMT Roadmap was highly useful and easy to use. Validated survey measurements indicated that trait anxiety was decreased, caregiver quality of life was improved, and caregiver activation was increased at discharge compared with baseline. Higher activation was associated with less anxiety at day 100, but unrelated to iPad use (time), inpatient days, caregiver depression, distress or quality of life. We are now expanding BMT Roadmap into the Adult BMT population. Disclosures No relevant conflicts of interest to declare.


Author(s):  
C. R. Ranjini ◽  
Sundeep Sahay

Large investments are being made to reform the health sector in developing countries as the various reports that indicate this potential of ICT is not being fully realized on the ground in particular settings. In this chapter, an empirical investigation of the introduction of health information systems in the primary health-care sector in India is reported. Three cases—the India Health Care Project, Family Health Information Management System, and Integrated Health Information Management Systems—are presented. The authors argue against adopting a technocentric approach during the development of the HIS and suggest that these efforts should be sensitive to the sociotechnical context. Furthermore, a variety of constraints are identified. The chapter concludes with a discussion on the potentials of integration to address some of the identified constraints.


Author(s):  
Jim Warren ◽  
Karen Day ◽  
Martin Orr

In this chapter we aim to promote an understanding of the complexity of healthcare as a setting for information systems and how this complexity influences the achievement of successful implementations. We define health informatics and examine its role as an enabler in the delivery of healthcare. Then we look at the knowledge commodity culture of healthcare, with the gold standard of systematic reviews and its hierarchy of evidence. We examine the different forms of quantitative and qualitative research that are most commonly found in healthcare and how they influence the requirements for health information systems. We also examine some domain-specific issues that must be considered by health information systems developers, including those around clinical decision support systems and clinical classification and coding systems. We conclude with a discussion of the challenges that must be balanced by the health systems implementer in delivering robust systems that support evidence-based healthcare processes.


2021 ◽  
Author(s):  
Ramona Kyabaggu ◽  
Deneice Marshall ◽  
Patience Ebuwei ◽  
Uche Ikenyei

UNSTRUCTURED The Health Information Management (HIM) field’s contribution to health care delivery is invaluable, especially in a pandemic context where the need for accurate diagnosis will hasten responsive evidence-based decision making. The COVID-19 pandemic offers a unique opportunity to transform the practice of HIM and bring more awareness to the role the frontline workers play behind the scenes safeguarding reliable, comprehensive, accurate and timely health information. This transformation will support future research, utilization management, public health surveillance and forecasting and enable key stakeholders to plan and ensure equitable health care resource allocation, especially for the most vulnerable populations. In this paper, we juxtapose critical health literacy, public policy, and health information management perspectives to understand the COVID-19 infodemic and new opportunities for health information management in infodemiology.


Author(s):  
C. R. Ranjini ◽  
Sundeep Sahay

Large investments are being made to reform the health sector in developing countries as the various reports that indicate this potential of ICT is not being fully realized on the ground in particular settings. In this chapter, an empirical investigation of the introduction of health information systems in the primary health-care sector in India is reported. Three cases—the India Health Care Project, Family Health Information Management System, and Integrated Health Information Management Systems—are presented. The authors argue against adopting a technocentric approach during the development of the HIS and suggest that these efforts should be sensitive to the sociotechnical context. Furthermore, a variety of constraints are identified. The chapter concludes with a discussion on the potentials of integration to address some of the identified constraints.


2017 ◽  
Vol 8 (3) ◽  
pp. 169-175 ◽  
Author(s):  
Nicholas C. Arpey ◽  
Anne H. Gaglioti ◽  
Marcy E. Rosenbaum

Introduction: Clinician perceptions of patients with low socioeconomic status (SES) have been shown to affect clinical decision making and health care delivery in this group. However, it is unknown how and if low SES patients perceive clinician bias might affect their health care. Methods: In-depth interviews with 80 enrollees in a state Medicaid program were analyzed to identify recurrent themes in their perceptions of care. Results: Most subjects perceived that their SES affected their health care. Common themes included treatment provided, access to care, and patient-provider interaction. Discussion: This study highlights complex perceptions patients have around how SES affects their health care. These results offer opportunities to reduce health care disparities through better understanding of their impact on the individual patient-provider relationship. This work may inform interventions that promote health equity via a multifaceted approach, which targets both providers and the health care system as a whole.


2014 ◽  
Vol 23 (01) ◽  
pp. 170-176 ◽  
Author(s):  
J. S. Wald ◽  
D. Z. Sands

Summary Objective: Address current topics in consumer health informatics. Methods: Literature review. Results: Current health care delivery systems need to be more effective in the management of chronic conditions as the population turns older and experiences escalating chronic illness that threatens to consume more health care resources than countries can afford. Most health care systems are positioned poorly to accommodate this. Meanwhile, the availability of ever more powerful and cheaper information and communication technology, both for professionals and consumers, has raised the capacity to gather and process information, communicate more effectively, and monitor the quality of care processes. Conclusion: Adapting health care systems to serve current and future needs requires new streams of data to enable better self-management, improve shared decision making, and provide more virtual care. Changes in reimbursement for health care services, increased adoption of relevant technologies, patient engagement, and calls for data transparency raise the importance of patient-generated health information, remote monitoring, non-visit based care, and other innovative care approaches that foster more frequent contact with patients and better management of chronic conditions.


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