The Application of Data Mining Techniques in Health Plan Population Management

2011 ◽  
pp. 146-166
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.

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.

scholarly journals Health Information Technology Updates to Start the New Year

2013 ◽  
Vol 48 (1) ◽  
pp. 77-78
Author(s):  
Brent I. Fox ◽  
Bill G. Felkey
Keyword(s):  
Information Technology ◽  
American Medical ◽  
Health Information Technology ◽  
Health Information ◽  
Medical Informatics ◽  
Presidential Election ◽  
President Obama ◽  
American Medical Informatics Association

We write our articles several months in advance. This month, we are writing at the time of the Presidential election and the American Medical Informatics Association (AMIA) meeting. We focus on health information technology (HIT) topics of interest from the meeting, beginning with a brief look at the HIT implications of the recent re-election of President Obama.

scholarly journals Health Informatics in Developing Countries: A Review of Unintended Consequences of IT Implementations, as They Affect Patient Safety and Recommendations on How to Address Them

2016 ◽  
Vol 25 (01) ◽  
pp. 70-72 ◽  
Author(s):  
A. Almerares ◽  
D. Luna ◽  
A. Marcelo ◽  
M. Househ ◽  
H. Mandirola ◽  
...  
Keyword(s):  
Information Technology ◽  
Developing Countries ◽  
Patient Safety ◽  
Health Information Technology ◽  
Health Information ◽  
Health Informatics ◽  
Healthcare Organization ◽  
Unintended Consequences ◽  
Alert Fatigue ◽  
Available Information

SummaryBackground: Patient safety concerns every healthcare organization. Adoption of Health information technology (HIT) appears to have the potential to address this issue, however unanticipated and undesirable consequences from implementing HIT could lead to new and more complex hazards. This could be particularly problematic in developing countries, where regulations, policies and implementations are few, less standandarized and in some cases almost non-existing.Methods: Based on the available information and our own experience, we conducted a review of unintended consequences of HIT implementations, as they affect patient safety in developing countries.Results: We found that user dependency on the system, alert fatigue, less communications among healthcare actors and workarounds topics should be prioritize. Institution should consider existing knowledge, learn from other experiences and model their implementations to avoid known consequences. We also recommend that they monitor and communicate their own efforts to expand knowledge in the region.

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.

scholarly journals A call for social informatics

2020 ◽  
Vol 27 (11) ◽  
pp. 1798-1801 ◽  
Author(s):  
Matthew S Pantell ◽  
Julia Adler-Milstein ◽  
Michael D Wang ◽  
Aric A Prather ◽  
Nancy E Adler ◽  
...  
Keyword(s):  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Social Factors ◽  
Health Informatics ◽  
Information Technologies ◽  
Clinical Settings ◽  
Ethical Challenges ◽  
Social Informatics ◽  
Data Interoperability

Abstract As evidence of the associations between social factors and health outcomes continues to mount, capturing and acting on social determinants of health (SDOH) in clinical settings has never been more relevant. Many professional medical organizations have endorsed screening for SDOH, and the U.S. Office of the National Coordinator for Health Information Technology has recommended increased capacity of health information technology to integrate and support use of SDOH data in clinical settings. As these efforts begin their translation to practice, a new subfield of health informatics is emerging, focused on the application of information technologies to capture and apply social data in conjunction with health data to advance individual and population health. Developing this dedicated subfield of informatics—which we term social informatics—is important to drive research that informs how to approach the unique data, interoperability, execution, and ethical challenges involved in integrating social and medical care.

scholarly journals HIPAA, HIPAA, Hooray?: Current Challenges and Initiatives in Health Informatics in the United States

2008 ◽  
Vol 1 ◽  
pp. BII.S2007 ◽  
Author(s):  
Sanjaya Joshi
Keyword(s):  
United States ◽  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Health Informatics ◽  
Information Technologies ◽  
The United States ◽  
Security And Privacy ◽  
Complex Data ◽  
Data Interoperability

A review of the current challenges, trends and initiatives around the various regulations as related to Health Informatics in the United States is presented. A summary of the functions in a workflow-based approach organized into the process and compliance for HIPAA, secure email and fax communications interfaces, e-prescriptions and patient safety and the health information technology savings claims versus costs follows: • HIPAA compliance is complex; data interoperability and integration remains difficult. • Email and faxing is possible with current over-the-shelf technologies within the purview of the HIPAA Security and Privacy rule. • Integration of e-prescribing and NPI data is an area where health informatics can make a real difference. • Medical errors remain high. • There are no real savings yet from the usage of health information technologies; the costs for implementation remain high, and the business model has not evolved to meet the needs. • Health Information Technology (Health IT) projects continue to have a significant failure rate; Open Source technologies are a viable alternative both for cost reduction and scalability. A discussion on the macro view of health informatics is also presented within the context of healthcare models and a comparison of the U.S. system against other countries.

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.

scholarly journals Using Information Technology to Manage the COVID-19 Pandemic: Development of a Technical Framework Based on Practical Experience in China

10.2196/19515 ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. e19515 ◽  
Author(s):  
Qing Ye ◽  
Jin Zhou ◽  
Hong Wu
Keyword(s):  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Health Informatics ◽  
Information Technologies ◽  
Practical Experience ◽  
Control Measures ◽  
Health Information Technologies ◽  
And Control ◽  
Technical Framework

Background The coronavirus disease (COVID-19) epidemic poses an enormous challenge to the global health system, and governments have taken active preventive and control measures. The health informatics community in China has actively taken action to leverage health information technologies for epidemic monitoring, detection, early warning, prevention and control, and other tasks. Objective The aim of this study was to develop a technical framework to respond to the COVID-19 epidemic from a health informatics perspective. Methods In this study, we collected health information technology–related information to understand the actions taken by the health informatics community in China during the COVID-19 outbreak and developed a health information technology framework for epidemic response based on health information technology–related measures and methods. Results Based on the framework, we review specific health information technology practices for managing the outbreak in China, describe the highlights of their application in detail, and discuss critical issues to consider when using health information technology. Technologies employed include mobile and web-based services such as Internet hospitals and Wechat, big data analyses (including digital contact tracing through QR codes or epidemic prediction), cloud computing, Internet of things, Artificial Intelligence (including the use of drones, robots, and intelligent diagnoses), 5G telemedicine, and clinical information systems to facilitate clinical management for COVID-19. Conclusions Practical experience in China shows that health information technologies play a pivotal role in responding to the COVID-19 epidemic.

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