Premium Essay

No-Show Clinical Data Analytics

In:

Submitted By aquamarine0831
Words 1517
Pages 7
No-show rates range between 15% to 30% in an ambulatory setting and lead to wasted resources, increased financial burdens and inaccurate or missed diagnoses of patients (Goldman et al., 1982). Previous studies have shown that various patient factors can predict future no-show behavior. For example, the type of appointment scheduled for a patient can predict patient absenteeism (Zeber, Pearson, & Smith, 2009). Zeber et al. found that colonoscopy appointments are the most commonly missed appointments (Zeber et al., 2009). Furthermore, previous missed appointments is one of the most significant predictors of no-show appointments (Dove & Schneider, 1981). Studies have also shown that patients’ various psychosocial diagnoses are indicators of missed appointments (Goldman et al., 1982). Patients diagnosed with at least one psychological diagnosis, including mood disorders, such as depression and bipolar disease, anxiety disorders, such as panic attacks and posttraumatic stress disorder, and thought disorders, such as schizophrenia and personality disorders, were more likely to miss appointments compared to patients without psychological diagnoses (Savageau et al., 2004). Finally, Perron et al. showed that patients with substance abuse disorders are more likely to miss appointments (Perron et al., 2010).
In order to reduce no-show rates in a hospital gastrointestinal (GI) clinic this project analyzed potential indicators of missed appointments. Based on a conceptual model grouping various barriers that lead to missed appointments (Figure 1, Appendix A), patient level factors were the main focus. The patient-level factors analyzed are colonoscopy procedure, previous GI appointment absenteeism, mood disorder, personality disorder and other substance abuse disorder among patients at the GI clinic.
Variables were selected based on information presented in lecture by

Similar Documents

Premium Essay

Vokswagen

...org/10.4172/2157-7420.1000132 Open Access An Overview of Health Analytics Wullianallur Raghupathi1* and Viju Raghupathi2 1 2 Graduate School of Business, Fordham University, New York, NY, USA Finance and business management, Brooklyn College, City University of New York, Brooklyn, NY, USA Abstract Objectives: We examine the emerging health analytics field by describing the different health analytics and providing examples of various applications. Methods: The paper discusses different definitions of health analytics, describes the four stages of health analytics, its architectural framework, development methodology, and examples in public health. Results: The paper provides a broad overview of health analytics for researchers and practitioners. Conclusions: Health analytics is rapidly emerging as a key and distinct application of health information technology. The key objective of health analytics is to gain insight for making informed healthcare decisions. Keywords: Data warehousing; ETL; Descriptive analytics; Discovery Introduction analytics; Health analytics; Informed decision; Insight; Predictive analytics; Prescriptive analytics management, and preventive care. In one scenario, for example, the use of health analytics technologies can ensure that emergency room doctors are briefed and ready to treat patients prior to their arrival by ambulance. Diagnostic and current health data can be downloaded by hospital staff from a wide variety of systems to...

Words: 5967 - Pages: 24

Free Essay

Title

...Center for US Health System Reform Business Technology Office The ‘big data’ revolution in healthcare Accelerating value and innovation January 2013 Peter Groves Basel Kayyali David Knott Steve Van Kuiken Contents The ‘big data’revolution in healthcare: Accelerating value and innovation 1 Introduction1 Reaching the tipping point: A new view of big data in the healthcare industry  2 Impact of big data on the healthcare system 6 Big data as a source of innovation in healthcare 10 How to sustain the momentum 13 Getting started: Thoughts for senior leaders 17 1 The ‘big data’ revolution in healthcare: Accelerating value and innovation Introduction An era of open information in healthcare is now under way. We have already experienced a decade of progress in digitizing medical records, as pharmaceutical companies and other organizations aggregate years of research and development data in electronic databases. The federal government and other public stakeholders have also accelerated the move toward transparency by making decades of stored data usable, searchable, and actionable by the healthcare sector as a whole. Together, these increases in data liquidity have brought the industry to the tipping point. Healthcare stakeholders now have access to promising new threads of knowledge. This information is a form of “big data,” so called not only for its sheer volume but for its complexity, diversity, and timeliness...

Words: 9757 - Pages: 40

Premium Essay

Truven Health Swot

...|Truven Health Analytics | |SWOT | |Devry 2012 | |Sarah Palm | |9/23/2012 | Truven Health Analytics In December 2006 Thomson Reuters acquired Solucient. Solucient provides data and advanced analytics that hospitals and health systems use to improve performance and lower costs. With Solucient, Thomson accelerated its plan to deliver integrated clinical and management decision support tools that create the most comprehensive view of the healthcare enterprise. Summer of 2012 lent it’s self to another change as the healthcare business of Thomson Reuters was purchased by VERITAS private equity firm and renamed Truven Health Analytics. Truven’s Mission Statement: At Truven Health Analytics, we combine our comprehensive information with deep analysis and industry benchmarks to transform your data into actionable knowledge. And because we have visibility across the entire continuum of care, we truly understand your workflow and create real connections...

Words: 1682 - Pages: 7

Premium Essay

Corporate Finance

...BMJ 2011;342:d1766 doi: 10.1136/bmj.d1766 Research Methods & Reporting Page 1 of 6 RESEARCH METHODS & REPORTING Economic evaluation using decision analytical modelling: design, conduct, analysis, and reporting Evidence relating to healthcare decisions often comes from more than one study. Decision analytical modelling can be used as a basis for economic evaluations in these situations. Stavros Petrou professor of health economics 1, Alastair Gray professor of health economics 2 1 Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK; 2Health Economics Research Centre, Department of Public Health, University of Oxford, Oxford, UK Economic evaluations are increasingly conducted alongside randomised controlled trials, providing researchers with individual patient data to estimate cost effectiveness.1 However, randomised trials do not always provide a sufficient basis for economic evaluations used to inform regulatory and reimbursement decisions. For example, a single trial might not compare all the available options, provide evidence on all relevant inputs, or be conducted over a long enough time to capture differences in economic outcomes (or even measure those outcomes).2 In addition, reliance on a single trial may mean ignoring evidence from other trials, meta-analyses, and observational studies. Under these circumstances, decision analytical modelling provides an alternative framework for economic evaluation. Decision analytical...

Words: 4957 - Pages: 20

Premium Essay

Annotated Bibliography

...Data Analytics and Information Governance XBT Task 2- 3 Annotated Bibliographies November 2, 2015 1.) Mushtag,F. (2015). Ensuring EHR compliance for Meaningful Use. Health Management Technology, 36(7), 16-17. In this article Mushtaq is describing how Meaningful Use will improve the data quality of electronic health records. He points out what the requirements of Meaningful Use are and how it is meant to improve the EHR through The Medicare and Medicaid EHR Incentive Program. Mushtaq contends that while organizations originally put EHR systems in place to collect data, the market has shifted and health organizations as well as providers have moved more into a value based healthcare environment. He suggests that there are several steps in preparing to become complainant for the requirements for participation through the Centers for Medicare & Medicaid Services (CMS). He states that once you become complainant that EHR’s will provide relevant data, improve patient adherence, access to data that will drive improvements, and higher quality of usable data. He concludes effective compliance data will lead to higher quality of data which will allow physicians to provide better care to their patients. This article covers the importance of Meaningful Use and its relationship to obtaining quality data and is useful to bringing in or updating the EHR. The information in this article could be used to give the HIM professional ideals about how to make Meaningful Use of data...

Words: 837 - Pages: 4

Premium Essay

Data Warehousing and Data Mining

...Introduction 2 Assumptions 3 Data Availability 3 Overnight processing window 3 Business sponsor 4 Source system knowledge 4 Significance 5 Data warehouse 6 ETL: (Extract, Transform, Load) 6 Data Mining 6 Data Mining Techniques 7 Data Warehousing 8 Data Mining 8 Technology in Health Care 9 Diseases Analysis 9 Treatment strategies 9 Healthcare Resource Management 10 Customer Relationship Management 10 Recommended Solution 11 Corporate Solution 11 Technological Solution 11 Justification and Conclusion 12 References 14 Health Authority Data (Appendix A) 16 Data Warehousing Implementation (Appendix B) 19 Data Mining Implementation (Appendix B) 22 Technological Scenarios in Health Authorities (Appendix C) 26 Technology Tools 27 Data Management Technology Introduction The amount of information offered to us is literally astonishing, and the worthiness of data as an organizational asset is widely acknowledged. Nonetheless the failure to manage this enormous amount of data, and to swiftly acquire the information that is relevant to any particular question, as the volume of information rises, demonstrates to be a distraction and a liability, rather than an asset. This paradox energies the need for increasingly powerful and flexible data management systems. To achieve efficiency and a great level of productivity out of large and complex datasets, operators need have tools that streamline the tasks of managing the data and extracting valuable...

Words: 8284 - Pages: 34

Premium Essay

Examination of Clinical Psychology

...Examination of Clinical Psychology Paper Psy 480 Dr. Gurinder Bolina Examination of Clinical Psychology Paper Clinical Psychology has been a major part of our history from the Greek philosophers to Sigmund Freud to our modern day psychologist and philosophers; our knowledge about psychology and how information has been drawn from others has been evolving. During Clinical Psychology, psychologists find new clinical interventions by gathering information and philosophical aspects through data. In this paper, there will be not the history of this psychology but the differences between the medical health professions and clinical psychology. According to James, J. and James, M. (1991), “Although, various distinctions exist between clinical psychologists and other psychological disciplines, all endure to promote a better quality of life from and for the human spirit.” The History of Clinical Psychology The Greeks developed the first ideas of psychology. Three philosophers named Aristotle, Hippocrates, and Plato believed that a person’s individual body reacts from the individual’s soul being in charge and that if a person becomes ill ;especially, physically ill means that the person was suffering something within their soul that is resulting in them being this way. According to Plante, T. G. (2011), “The way the Greeks were able to understand how disease transported was not controlled by the gods but, because of social, biological, and psychological effects exchanged between...

Words: 1014 - Pages: 5

Premium Essay

Epidemiology Paper

...associated with distress and/or impaired functioning” (p. 2333). Mental health has become an increase concern in the vulnerable elderly population across the nation. Two of the major mental diseases that are prevalence in the elderly population are Alzheimer’s and Dementia. Alzheimer and Dementia are both diseases that affect the elderly population across the nation by declining loss of intellectual functioning. Not much is known about these disease processes but what is known is both these diseases are similar in signs and symptoms (Fisher Center For Alzheimer‘s Research Foundation, 2011). To explore and understand more about Alzheimer and Dementia disease process, it is important to understand what epidemiology is. Then this paper will show how the steps and methods the epidemiology uses to help determine the cause and effect of a disease. The paper continues to review how the epidemiological triangle is used. It is important to tie it altogether by explaining how epidemiology is used to help explore and understanding in how the disease process develops, any identifying causes and how to either slow the effects or prevent the disease process of Alzheimer from developing. Then next, the paper will provide an overview of the disease process and the effects it has on the elderly population. Last, the paper will review the relationship of the disease to various levels of prevention. Epidemiology According to Stanhope and Lancaster (2008), "Epidemiology is a multidisciplinary...

Words: 2092 - Pages: 9

Free Essay

Iq Responses

...testing results are consistent between 17 year intervals. The consistency in both versions of BDI prove equivalent. Shek (1990), introduces valuable information on studies of the Chinese version of Beck Depression Inventory. The results present a discovery of high coefficients of congruence and therefor suggest the Chinese version of BDI (C-BDI) carries satisfactory psychometric properties and support to the validity in Chinese version of BDI. Therefore, support given to Becks view of depression being complex, which is proven by factor analytic data. Children’s depressive inventory (CDI) is a screening used in elementary schools to test for depressive tendencies. The testing show reports of CDI’s tendency of predicting falsification. Studies show the incorrect results are due to screening’s flaw in base-rate projection. The studies on 294 school children show positive results (Petrovski). It was after preforming the test-retest reliability data that shows variability due to population and test-retest interlude. These results determine the...

Words: 424 - Pages: 2

Free Essay

Research Database Assignment Form

...Research Database Assignment Form Describe briefly your topic of interest (15 possible points): The area that was chosen for this assignment is alarm fatigue. Alarm fatigue has been described as the process that occurs when nurses are desensitized due to too many alarms that are sounding constantly. Often times, there is no clinical indication for alarms that are sounding. This leads nurses to make the assumption that certain alarms are not important or the alarms very simply become background noise. Alarm fatigue has become nationally recognized and is the National Patient Safety Goal (NPSG) that was implemented by JCAHO for 2014.  Medical alarms that are supposed to make nurses aware that something is wrong with the patient and prevent sentinel events have resulted in sentinel events. Some research has been done to show that alarms that were ignored is what led to the sentinel event occurring.  I chose to research this area as I have witnessed this in the workplace over the years. I am reluctant to see what the outcomes of research on this subject will lead to and what protocol implementations will occur to meet the 2016 JCAHO deadline for this problem to be addressed. #1 Database (or collection) (30 possible points): Title of source: Association for the Advancement of Medical Instrumentation (AAMI) Location of source (URL): http://www.aami.org/htsi/alarms/library.html Owner or publisher: Healthcare Technology Safety Institute (HTSI) Describe (in your...

Words: 1346 - Pages: 6

Premium Essay

E-Health

...Athens Information Technology Master in Management of Business, Innovation & Technology (MBIT) Management Information Systems E-Health in Greece compared to EU/US and the impact of Big Data in healthcare Prepared by: Athina Klaoudatou Christos Panagiotou Abstract The aim of this report is to describe the eHealth market. The focus is the Greek business landscape, current trends in the market, industry growth, drivers, and restraints, the technologies and the players in various aspects of the field. Data are presented about the evolution of the market and there are descriptions of what Greek companies offer. Moreover implementation measures are presented, along with progress achieved with respect to national and regional eHealth solutions in EU and EEA Member States. Table of Contents 1. The National Health System 1 1.1. Organizational structure 1 1.2. Some facts & figures 1 2. What is eHealth, definitions, areas of application, benefits 5 2.1. What is eHealth 5 2.2. Forms of eHealth 5 2.3. Benefits of eHealth 6 3. eHealth framework in European Union countries 7 3.1. eHealth Action Plan 2012 - 2020 7 3.2. eHealth in the European Countries 8 4. Application of eHealth practices 10 4.1. Electronic Health records (EHR) 10 4.1.1. Examples of current EHR use 10 4.1.2. Electronic Health Record in Greece 12 4.1.3. Summing up 14 4.2. Interoperability 15 4.2.1. Defining Interoperability in Healthcare Systems 15 4.2...

Words: 36524 - Pages: 147

Premium Essay

Epediology of Alzheirmer's Disease

...Epidemiology of Alzheimer' Disease Ronya Bentz NUR/408 March 4, 2013 Patricia Schwartz Epidemiology of Alzheimer' Disease According to the World Health Organization (WHO), mental health is “not just the absence of mental disorder but as a state of wellbeing in which every individual realizes his or her own potential, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to his or her community.” (Perry, Presley-Cantrell, and Dhingra 2010). Mental illness, “refers collectively to all diagnosable mental disorders that are characterized by alteration in thinking, mood or behavior (or some combination thereof) associated with distress and/or impaired functioning” (Perry, Presley-Cantrell, and Dhingra 2010). Mental health is an increasing concern with the vulnerable population of the elderly across America. Dementia and Alzheimer’s disease are the two leading psychiatric diseases effecting the elderly, causing deterioration of intellectual functioning. Scientists cannot completely comprehend the etiology and progress of these two diseases. Scientists have learned that both diseases have signs and symptoms parallel to one another (Fisher Center for Alzheimer’s Research Foundation, 2011). It is important to get a better perception of the development of these diseases, so the importance of understanding epidemiology is relevant...

Words: 2045 - Pages: 9

Premium Essay

Business Intelligence

...INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT Hsinchun Chen Eller College of Management, University of Arizona, Tucson, AZ 85721 U.S.A. {hchen@eller.arizona.edu} Roger H. L. Chiang Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH 45221-0211 U.S.A. {chianghl@ucmail.uc.edu} Veda C. Storey J. Mack Robinson College of Business, Georgia State University, Atlanta, GA 30302-4015 U.S.A. {vstorey@gsu.edu} Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework. Keywords: Business intelligence and analytics, big data analytics, Web 2...

Words: 16335 - Pages: 66

Premium Essay

Bpcl

...AND ANALYTICS: FROM BIG DATA TO BIG IMPACT Hsinchun Chen Eller College of Management, University of Arizona, Tucson, AZ 85721 U.S.A. {hchen@eller.arizona.edu} Roger H. L. Chiang Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH 45221-0211 U.S.A. {chianghl@ucmail.uc.edu} Veda C. Storey J. Mack Robinson College of Business, Georgia State University, Atlanta, GA 30302-4015 U.S.A. {vstorey@gsu.edu} Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework. Keywords: Business intelligence and analytics, big...

Words: 16335 - Pages: 66

Free Essay

Psychological Stress Critique Papaer

...Article Critique: Differentiation of Self, Stress and Emotional Support as Predictors of Psychological Stress Lynne Gaynor EDF 5481 Florida International University This critique discusses the article written by Romana C. Krycak, Nancy L. Murdock and Jacob M. Marszalek (2012) regarding the relations among stress, emotional support, and differentiation of self from the family of origin as predictors of psychological distress. The review begins with a summary of literature review; continues with the methods utilized, results, discussion and conclusion; and concludes with personal contributions. Summary and Critique of Literature Review The topic discussed in the article, Differentiation of Self, Stress and Emotional Support as Predictors of Psychological Stress, focuses on both the measurement of stressful events and perceived stress and differentiation of self. The article discusses in length the relationship between differentiation of self, stress, social support, symptoms and psychological distress. According to Krycak, R.C., Marszalek, J. M. and Murdock, M. L., (2012) differentiation of self is defined as a person’s ability to maintain individuality while still being connected on an emotional level to his or her familial group. The researchers felt this topic was especially relevant among college students. Students who are higher in differentiation of self experience less psychological distress than students lower...

Words: 2597 - Pages: 11