Where do Technology-Induced Errors Come From? Towards a Model for Conceptualizing and Diagnosing Errors Caused by Technology

2010 ◽  
pp. 148-166 ◽  
Author(s):  
Elizabeth M. Borycki ◽  
Andre W. Kushniruk
Keyword(s):  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Medical Errors ◽  
Medical Error ◽  
Healthcare Delivery

Borycki, Elizabeth M.; Kushniruk, Andre W. Health information technology has the potential to greatly improve healthcare delivery. Indeed, in recent years many have argued that introduction of information technology will be essential in order to decrease medical error and increase healthcare safety. In this chapter we review some of the evidence that has accumulated indicating the positive benefits of health information technology for improving safety in healthcare. However, a number of recent studies have indicated that if systems are not designed and implemented properly health information technology may actual inadvertently result in new types of medical errors—technology-induced errors. In this chapter we discuss where such error may arise and propose a model for conceptualizing and diagnosing technology-induced error so that the benefits of technology can be achieved while the likelihood of the occurrence of technology-induced medical error is reduced.

A Bounded Health Information Technology System Design Approach to Support Community-Based Care Delivery

2015 ◽  
Vol 5 (1) ◽  
pp. 32-45 ◽  
Author(s):  
Liam Peyton ◽  
Jaspreet Bindra ◽  
Aladdin Baarah ◽  
Austin Chamney ◽  
Craig Kuziemsky
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
System Design ◽  
Health Information Technology ◽  
Health Information ◽  
Care Delivery ◽  
Healthcare Delivery ◽  
Systems Design ◽  
Community Based ◽  
Mobile Form

Health information technology (HIT) offers great potential for supporting healthcare delivery, particularly collaborative care delivery that is provided across multiple settings and providers. To date much of HIT design has focused on digitizing data or processes on a departmental or healthcare provider basis. However, this bounded approach has not scaled well for supporting community based care across disparate providers or settings because of the lack of boundaries (e.g. disprate data and processes) that exist in community based care. Cloud computing approaches that leverage mobile form applications for developing integrated HIT solutions have the potential to support collaborative healthcare delivery in the community. However, to date there is a shortage of methods that describe how to develop integrated cloud computing solutions to support community based care delivery. In particular there is a need for methods that identify how to incorporate boundaries into cloud computing systems design. This paper uses a three year case study of the design of the Palliative Care Information System (PAL-IS) to provide system design insight on cloud computing approaches that leverage mobile forms applications to support community care management.

Process Level Benefits of an Electronic Medical Records System

2011 ◽  
pp. 393-401
Author(s):  
Abirami Radhakrishnan ◽  
Dessa David ◽  
Jigish Zaveri
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Health Care System ◽  
Medical Errors ◽  
Technology Plan ◽  
Health Insurance Premiums ◽  
The U.S ◽  
Care System

The challenges faced by U.S. health care system are vividly explained in the U.S. Government’s health information technology plan, The U.S. health care system faces major challenges. Health care spending and health insurance premiums continue to rise at rates much higher than the rate of inflation. Despite spending over $1.6 trillion on health care, there are still serious concerns about preventable errors, uneven health care quality, and poor communication among doctors, hospitals, and many other health care providers involved in the care of any one person. The Institute of Medicine estimates that between 44,000 and 98,000 Americans die each year from medical errors. Many more die or have permanent disability because of inappropriate treatments, mistreatments, or missed treatments in ambulatory settings. It has been found that as much as $300 billion is spent each year on health care that does not improve patient outcomes – treatment that is unnecessary, inappropriate, inefficient, or ineffective. All these problems – high costs, uncertain value, medical errors, variable quality, administrative inefficiencies, and poor coordination – are closely connected to inadequate use of health care information technology. (U.S. Federal Government Health Information Technology Plan, 2004).

The Application of Data Mining Techniques in Health Plan Population Management

2008 ◽  
pp. 1799-1809 ◽  
Author(s):  
Theodore L. Perry ◽  
Travis Tucker ◽  
Laurel R. Hudson ◽  
William Gandy ◽  
Amy L. Neftzger ◽  
...  
Keyword(s):  
Data Mining ◽  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Health Informatics ◽  
Healthcare Delivery ◽  
Data Sets ◽  
Data Intensive ◽  
Technology Industry ◽  
American Medical Informatics Association

Healthcare has become a data-intensive business. Over the last 30 years, we have seen significant advancements in the areas of health information technology and health informatics as well as healthcare modeling and artificial intelligence techniques. Health informatics, which is the science of health information,1 has made great progress during this period (American Medical Informatics Association). Likewise, data mining, which has been generally defined as the application of technology and statistical/mathematical methods to uncover relationships and patterns between variables in data sets, has experienced noteworthy improvements in computer technology (e.g., hardware and software) in addition to applications and methodologies (e.g., statistical and biostatistical techniques such as neural networks, regression analysis, and classification/segmentation methods) (Kudyba & Hoptroff, 2001). Though health informatics is a relatively young science, the impact of this area on the health system and health information technology industry has already been seen, evidenced by improvements in healthcare delivery models, information systems, and assessment/diagnostic tools.

Avoiding Adverse Consequences of E-Health

2013 ◽  
pp. 13-26
Author(s):  
Shane O’Hanlon
Keyword(s):  
Information Technology ◽  
Patient Safety ◽  
Health Services ◽  
Health Information Technology ◽  
Health Information ◽  
Medical Error ◽  
Health Development ◽  
Development Agreement ◽  
Types Of Error ◽  
The Way

E-health has been heralded as a possible solution to reducing the major problem of preventable medical error. However, the available evidence is not strong, and there is increasing awareness that implementation of health information technology can result in error of itself. E-health has the potential to alter workflows in unpredictable ways, introduce new types of error, and change the way clinicians communicate and behave. It is necessary to educate designers and clinicians about these problems so that solutions can be created that minimize risk. Given the pace of e-health development, agreement on a broad strategy is needed now to ensure that it helps to improve safety for users of health services. The principles of patient safety should be integrated into e-health solutions so that adverse consequences are avoided.

A Bounded Health Information Technology System Design Approach to Support Community-Based Care Delivery

Oncology ◽  
2017 ◽  
pp. 187-202
Author(s):  
Liam Peyton ◽  
Jaspreet Bindra ◽  
Aladdin Baarah ◽  
Austin Chamney ◽  
Craig E. Kuziemsky
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
System Design ◽  
Health Information Technology ◽  
Health Information ◽  
Care Delivery ◽  
Healthcare Delivery ◽  
Systems Design ◽  
Community Based ◽  
Technology System

Health information technology (HIT) offers great potential for supporting healthcare delivery, particularly collaborative care delivery that is provided across multiple settings and providers. To date much of HIT design has focused on digitizing data or processes on a departmental or healthcare provider basis. However, this bounded approach has not scaled well for supporting community based care across disparate providers or settings because of the lack of boundaries (e.g. disprate data and processes) that exist in community based care. Cloud computing approaches that leverage mobile form applications for developing integrated HIT solutions have the potential to support collaborative healthcare delivery in the community. However, to date there is a shortage of methods that describe how to develop integrated cloud computing solutions to support community based care delivery. In particular there is a need for methods that identify how to incorporate boundaries into cloud computing systems design. This paper uses a three year case study of the design of the Palliative Care Information System (PAL-IS) to provide system design insight on cloud computing approaches that leverage mobile forms applications to support community care management.

Process Level Benefits of an Electronic Medical Records System

2008 ◽  
pp. 1085-1092
Author(s):  
Abirami Radhakrishnan ◽  
Dessa David ◽  
Jigish Zaveri
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Health Care System ◽  
Medical Errors ◽  
Technology Plan ◽  
Health Insurance Premiums ◽  
The U.S ◽  
Care System

The challenges faced by U.S. health care system are vividly explained in the U.S. Government’s health information technology plan, The U.S. health care system faces major challenges. Health care spending and health insurance premiums continue to rise at rates much higher than the rate of inflation. Despite spending over $1.6 trillion on health care, there are still serious concerns about preventable errors, uneven health care quality, and poor communication among doctors, hospitals, and many other health care providers involved in the care of any one person. The Institute of Medicine estimates that between 44,000 and 98,000 Americans die each year from medical errors. Many more die or have permanent disability because of inappropriate treatments, mistreatments, or missed treatments in ambulatory settings. It has been found that as much as $300 billion is spent each year on health care that does not improve patient outcomes – treatment that is unnecessary, inappropriate, inefficient, or ineffective. All these problems – high costs, uncertain value, medical errors, variable quality, administrative inefficiencies, and poor coordination – are closely connected to inadequate use of health care information technology. (U.S. Federal Government Health Information Technology Plan, 2004).

Health Information Technology

2019 ◽  
Author(s):  
Jordan Everson ◽  
Melinda Beeuwkes Buntin
Keyword(s):  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Delivery System ◽  
Healthcare Delivery ◽  
Healthcare Organizations ◽  
Healthcare Delivery System ◽  
Learning Health System ◽  
Adoption And Diffusion ◽  
The Impact

The potential for health information technology (HIT) to reshape the information-intensive healthcare industry has been recognized for decades. Nevertheless, the adoption and use of IT in healthcare has lagged behind other industries, motivating governments to take a role in supporting its use to achieve envisioned benefits. This dynamic has led to three major strands of research. Firstly, the relatively slow and uneven adoption of HIT, coupled with government programs intended to speed adoption, has raised the issue of who is adopting HIT, and the impact of public programs on rates of adoption and diffusion. Secondly, the realization of benefits from HIT appears to be occurring more slowly than its proponents had hoped, leading to an ongoing need to empirically measure the effect of its use on the quality and efficiency of healthcare as well as the contexts under which benefits are best realized. Thirdly, increases in the adoption and use of HIT have led to the potential for interoperable exchange of patient information and the dynamic use of that information to drive improvements in the healthcare delivery system; however, these applications require developing new approaches to overcoming barriers to collaboration between healthcare organizations and the HIT industry itself. Intertwined through each of these issues is the interaction between HIT as a tool for standardization and systemic change in the practice of healthcare, and healthcare professionals’ desire to preserve autonomy within the increasingly structured healthcare delivery system. Innovative approaches to improve the interactions between professionals, technology, and market forces are therefore necessary to capitalize on the promise of HIT and develop a continually learning health system.

Sign in / Sign up

Export Citation Format

Share Document