Tuesday, April 28, 2015

Healthcare Analytics at SAS Global Forum 2015

I was not able to attend this year's SAS Global Forum, but have had a chance to browse the numerous session papers as well as enjoy some live content. The conference page has a searchable catalog and for each paper you will find links to similar sessions in the sidebar. There were around 5000 attendees at this year's conference and over 600 papers. For a 2 1/2 day conference that's more than 200 papers to cover per day. Below is a selection of some papers related to healthcare analytics. If we widen the search to include papers related to other fields, but applications in healthcare analtyics the selection would probably double. I'm sure I missed something, and would be glad to know if you had a favorite paper or presentation you'd like to share in the comments.

1329 - Causal Analytics: Testing, Targeting, and Tweaking to Improve Outcomes This session is an introduction to predictive analytics and causal analytics in the context of improving outcomes. The session covers the following topics: 1) Basic... View More 20 minutes Breakout Jason Pieratt

1340 - Using SAS® Macros to Flag Claims Based on Medical Codes Many epidemiological studies use medical claims to identify and describe a population. But finding out who was diagnosed, and who received treatment, isn't always simple.... View More 50 minutes Breakout Andy Karnopp

2382 - Reducing the Bias: Practical Application of Propensity Score Matching in Health-Care Program Evaluation To stay competitive in the marketplace, health-care programs must be capable of reporting the true savings to clients. This is a tall order, because most health-care programs... View More 20 minutes Breakout Amber Schmitz

2920 - Text Mining Kaiser Permanente Member Complaints with SAS® Enterprise Miner™ This presentation details the steps involved in using SAS® Enterprise Miner™ to text mine a sample of member complaints. Specifically, it describes how the Text Parsing, Text... View More 30 minutes E-Poster Amanda Pasch

3214 - How is Your Health? Using SAS® Macros, ODS Graphics, and GIS Mapping to Monitor Neighborhood and Small-Area Health Outcomes With the constant need to inform researchers about neighborhood health data, the Santa Clara County Health Department created socio-demographic and health profiles for 109... View More 20 minutes Breakout Roshni Shah

3254 - Predicting Readmission of Diabetic Patients Using the High-Performance Support Vector Machine Algorithm of SAS® Enterprise Miner™ 13.1 Diabetes is a chronic condition affecting people of all ages and is prevalent in around 25.8 million people in the U.S. The objective of this research is to predict the... View More 20 minutes Breakout Hephzibah Munnangi

3281 - Using SAS® to Create Episodes-of-Hospitalization for Health Services Research An essential part of health services research is describing the use and sequencing of a variety of health services. One of the most frequently examined health services is... View More 20 minutes Breakout Meriç Osman

3282 - A Case Study: Improve Classification of Rare Events with SAS® Enterprise Miner™ Imbalanced data are frequently seen in fraud detection, direct marketing, disease prediction, and many other areas. Rare events are sometimes of primary interest. Classifying... View More 20 minutes Breakout Ruizhe Wang

3411 - Identifying Factors Associated with High-Cost Patients Research has shown that the top five percent of patients can account for nearly fifty percent of the total healthcare expenditure in the United States. Using SAS® Enterprise... View More 30 minutes E-Poster Jialuo Cheng

3488 - Text Analytics on Electronic Medical Record Data This session describes our journey from data acquisition to text analytics on clinical, textual data. 50 minutes Breakout Mark Pitts

3560 - A SAS Macro to Calculate the PDC Adjustment of Inpatient Stays The Centers for Medicare & Medicaid Services (CMS) uses the Proportion of Days Covered (PDC) to measure medication adherence. There is also some PDC-related research based on... View More 20 minutes Breakout anping chang

3600 - When Two Are Better Than One: Fitting Two-Part Models Using SAS In many situations, an outcome of interest has a large number of zero outcomes and a group of nonzero outcomes that are discrete or highly skewed.  For example, in modeling... View More 20 minutes Breakout Laura Kapitula

3740 - Risk-Adjusting Provider Performance Utilization Metrics Pay-for-performance programs are putting increasing pressure on providers to better manage patient utilization through care coordination, with the philosophy that good... View More 50 minutes Breakout Tracy Lewis

3741 - The Spatio-Temporal Impact of Urgent Care Centers on Physician and ER Use The unsustainable trend in healthcare costs has led to efforts to shift some healthcare services to less expensive sites of care. In North Carolina, the expansion of urgent... View More 50 minutes Breakout Laurel Trantham

3760 - Methodological and Statistical Issues in Provider Performance Assessment With the move to value-based benefit and reimbursement models, it is essential toquantify the relative cost, quality, and outcome of a service. Accuratelymeasuring the cost... View More 50 minutes Breakout Daryl Wansink

SAS1855 - Using the PHREG Procedure to Analyze Competing-Risks Data Competing risks arise in studies in which individuals are subject to a number of potential failure events and the occurrence of one event might impede the occurrence of other... View More 20 minutes Breakout Ying So

SAS1900 - Establishing a Health Analytics Framework Medicaid programs are the second largest line item in each state’s budget. In 2012, they contributed $421.2 billion, or 15 percent of total national healthcare expenditures.... View More 20 minutes Breakout Krisa Tailor

SAS1951 - Using SAS® Text Analytics to Examine Labor and Delivery Sentiments on the Internet In today’s society, where seemingly unlimited information is just a mouse click away, many turn to social media, forums, and medical websites to research and understand how mothers feel about the birthing process. Mining the data in these resources helps provide an understanding of what mothers value and how they feel. This paper shows the use of SAS® Text Analytics to gather, explore, and analyze reports from mothers to determine their sentiment about labor and delivery topics. Results of this analysis could aid in the design and development of a labor and delivery survey and be used to understand what characteristics of the birthing process yield the highest levels of importance. These resources can then be used by labor and delivery professionals to engage with mothers regarding their labor and delivery preferences. View Less 20 minutes Breakout Michael Wallis