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Healthcare predictive modeling

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https://www.readbyqxmd.com/read/28341894/using-a-self-reported-global-health-measure-to-identify-patients-at-high-risk-for-future-healthcare-utilization
#1
Karen J Blumenthal, Yuchiao Chang, Timothy G Ferris, Jenna C Spirt, Christine Vogeli, Neil Wagle, Joshua P Metlay
BACKGROUND: Research studies have shown that patient-reported outcome measures (PROMs) that assess global health are helpful for predicting health care utilization, but less evidence exists that collection of PROMs in routine care can identify patients with high health care needs. OBJECTIVE: To investigate the association between the PROMIS Global Health (PGH) scores and subsequent health care utilization among patients in a large accountable care organization (ACO)...
March 24, 2017: Journal of General Internal Medicine
https://www.readbyqxmd.com/read/28338572/the-drivers-of-medicare-reimbursement-for-thoracolumbar-fusion-an-analysis-of-data-from-the-centers-for-medicare-and-medicaid-services
#2
Krishn Khanna, Eric M Padegimas, Benjamin Zmistowski, Michael Howley, Kushagra Vema
STUDY DESIGN: Retrospective observational OBJECTIVE.: The purpose of this study is to examine the variation in Thoracolumbar Fusion (TLF) payment and determine the drivers of this variation. SUMMARY OF BACKGROUND DATA: As healthcare spending continues to increase, variation in surgical procedures reimbursements has come under more scrutiny. TLF is an example of a high-cost, proven-benefit procedure that is often the focus of Centers for Medicare and Medicaid Services (CMS) administrators...
March 23, 2017: Spine
https://www.readbyqxmd.com/read/28335444/hiv-education-and-welfare-services-in-primary-care-an-empirical-model-of-integration-in-brazil-s-unified-health-system
#3
Rahbel Rahman, Rogério M Pinto, Melanie M Wall
Integration of health education and welfare services in primary care systems is a key strategy to solve the multiple determinants of chronic diseases, such as Human Immunodeficiency Virus Infection and Acquired Immune Deficiency Syndrome (HIV/AIDS). However, there is a scarcity of conceptual models from which to build integration strategies. We provide a model based on cross-sectional data from 168 Community Health Agents, 62 nurses, and 32 physicians in two municipalities in Brazil's Unified Health System (UHS)...
March 14, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28328519/a-framework-for-mixed-type-multi-outcome-prediction-with-applications-in-healthcare
#4
Budhaditya Saha, Sunil Gupta, Dinh Phung, Svetha Venkatesh
Health analysis often involves prediction of multiple outcomes of mixed-type. Existing work is restrictive to either a limited number or specific outcome types. We propose a framework for mixed-type multi-outcome prediction. Our proposed framework proposes a cumulative loss function composed of a specific loss function for each outcome type - as an example, least square (continuous outcome), hinge (binary outcome), poisson (count outcome) and exponential (non-negative outcome). To model these outcomes jointly, we impose a commonality across the prediction parameters through a common matrix-Normal prior...
March 16, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28326926/potential-protein-biomarkers-for-burning-mouth-syndrome-discovered-by-quantitative-proteomics
#5
Eoon Hye Ji, Cynthia Diep, Tong Liu, Hong Li, Robert Merrill, Diana Messadi, Shen Hu
Burning mouth syndrome (BMS) is a chronic pain disorder characterized by severe burning sensation in normal looking oral mucosa. Diagnosis of BMS remains to be a challenge to oral healthcare professionals because the method for definite diagnosis is still uncertain. In this study, a quantitative saliva proteomic analysis was performed in order to identify target proteins in BMS patients' saliva that may be used as biomarkers for simple, non-invasive detection of the disease. By using isobaric tags for relative and absolute quantitation labeling and liquid chromatography-tandem mass spectrometry to quantify 1130 saliva proteins between BMS patients and healthy control subjects, we found that 50 proteins were significantly changed in the BMS patients when compared to the healthy control subjects ( p ≤ 0...
January 2017: Molecular Pain
https://www.readbyqxmd.com/read/28316544/a-review-on-methods-of-risk-adjustment-and-their-use-in-integrated-healthcare-systems
#6
Christin Juhnke, Susanne Bethge, Axel C Mühlbacher
INTRODUCTION: Effective risk adjustment is an aspect that is more and more given weight on the background of competitive health insurance systems and vital healthcare systems. The objective of this review was to obtain an overview of existing models of risk adjustment as well as on crucial weights in risk adjustment. Moreover, the predictive performance of selected methods in international healthcare systems should be analysed. THEORY AND METHODS: A comprehensive, systematic literature review on methods of risk adjustment was conducted in terms of an encompassing, interdisciplinary examination of the related disciplines...
October 26, 2016: International Journal of Integrated Care
https://www.readbyqxmd.com/read/28314943/predicting-hospital-stay-mortality-and-readmission-in-people-admitted-for-hypoglycaemia-prognostic-models-derivation-and-validation
#7
Francesco Zaccardi, David R Webb, Melanie J Davies, Nafeesa N Dhalwani, Laura J Gray, Sudesna Chatterjee, Gemma Housley, Dominick Shaw, James W Hatton, Kamlesh Khunti
AIMS/HYPOTHESIS: Hospital admissions for hypoglycaemia represent a significant burden on individuals with diabetes and have a substantial economic impact on healthcare systems. To date, no prognostic models have been developed to predict outcomes following admission for hypoglycaemia. We aimed to develop and validate prediction models to estimate risk of inpatient death, 24 h discharge and one month readmission in people admitted to hospital for hypoglycaemia. METHODS: We used the Hospital Episode Statistics database, which includes data on all hospital admission to National Health Service hospital trusts in England, to extract admissions for hypoglycaemia between 2010 and 2014...
March 17, 2017: Diabetologia
https://www.readbyqxmd.com/read/28303341/epidemiology-and-risk-factors-associated-with-surgical-site-infection-after-different-types-of-hepatobiliary-and-pancreatic-surgery
#8
Keita Morikane
PURPOSE: Surgical site infection (SSI) is one of the most common healthcare-associated infections (HAIs); however, SSI after hepatobiliary and pancreatic surgery (HBPS) has not been well investigated in a large cohort of patients. This study analyzed the factors associated with SSI following HBPS in Japan, using a Japanese national database. METHODS: Data on HBPS performed between 2012 and 2014 were extracted from a national monitoring system for HAI: The Japan Nosocomial Infections Surveillance...
March 16, 2017: Surgery Today
https://www.readbyqxmd.com/read/28300677/wound-disruption-after-lower-extremity-bypass-surgery-is-a-predictor-of-subsequent-development-of-wound-infection
#9
Faisal Aziz, Tiffany Bohr, Erik B Lehman
OBJECTIVES: Despite advances in endovascular surgery, lower extremity arterial bypass (LEB) remains the gold standard treatment for severe, symptomatic Peripheral Arterial Disease (PAD). With recent changes in healthcare, there has been an increasing emphasis on reducing the hospital length of stay (LOS). The purpose of this study is to identify the postoperative complications, which occur after discharge from hospital, and to find risk factors for developing such complications. METHODS: The 2013 lower extremity revascularization -targeted American College of Surgeons (ACS-NSQIP) database and generalized 2013 general and vascular surgery ACS-NSQIP PUF were used for this study...
March 11, 2017: Annals of Vascular Surgery
https://www.readbyqxmd.com/read/28298450/cost-effectiveness-study-of-criteria-to-screen-herpes-simplex-pcr-tests-from-cerebrospinal-fluid
#10
Ronald G Hauser, Sheldon M Campbell, Cynthia A Brandt, Shiyi Wang
Background: The absence of markers of inflammation in the cerebrospinal fluid (CSF) commonly predict the absence of herpes simplex virus (HSV) central nervous system (CNS) infection. Consequently, multiple authors have proposed and validated criteria to defer HSV PCR tests from CSF in immune competent hosts with normal CSF white cells and protein (≤5 cells/mm(3), ≤50 mg/dL, respectively). Immune competence equates to age ≥2 years without HIV or transplant. Adoption of the criteria may erroneously exclude HSV infected persons from a necessary diagnostic test, or alternatively, reduce the costs associated with HSV tests with minimal to no effect on patient care...
March 15, 2017: Journal of Clinical Microbiology
https://www.readbyqxmd.com/read/28297050/preoperative-computer-simulation-for-planning-of-vascular-access-surgery-in-hemodialysis-patients
#11
Niek Zonnebeld, Wouter Huberts, Magda M van Loon, Tammo Delhaas, Jan H M Tordoir
INTRODUCTION: The arteriovenous fistula (AVF) is the preferred vascular access for hemodialysis patients. Unfortunately, 20-40% of all constructed AVFs fail to mature (FTM), and are therefore not usable for hemodialysis. AVF maturation importantly depends on postoperative blood volume flow. Predicting patient-specific immediate postoperative flow could therefore support surgical planning. A computational model predicting blood volume flow is available, but the effect of blood flow predictions on the clinical endpoint of maturation (at least 500 mL/min blood volume flow, diameter of the venous cannulation segment ≥4 mm) remains undetermined...
March 6, 2017: Journal of Vascular Access
https://www.readbyqxmd.com/read/28295278/improving-hospital-performance-rankings-using-discrete-patient-diagnoses-for-risk-adjustment-of-outcomes
#12
Brendan DeCenso, Herbert C Duber, Abraham D Flaxman, Shane M Murphy, Michael Hanlon
OBJECTIVE: To assess the changes in patient outcome prediction and hospital performance ranking when incorporating diagnoses as risk adjusters rather than comorbidity indices. DATA SOURCES: Healthcare Cost and Utilization Project State Inpatient Databases for New York State, 2005-2009. STUDY DESIGN: Conducted tree-based classification for mortality and readmission by incorporating discrete patient diagnoses as predictors, comparing with traditional comorbidity indices such as those used for Centers for Medicare and Medicaid Services (CMS) outcome models...
March 13, 2017: Health Services Research
https://www.readbyqxmd.com/read/28285549/methodology-of-the-access-to-care-and-timing-simulation-model-for-traumatic-spinal-cord-injury-care
#13
Argelio Santos, Nader Fallah, Rachel Lewis, Marcel F Dvorak, Michael G Fehlings, Anthony Scott Burns, Vanessa K Noonan, Christiana L Cheng, Elaine Chan, Anoushka Singh, Lise M Belanger, Derek Atkins
Despite the relatively low incidence, the management and care of persons with traumatic spinal cord injury (tSCI) can be resource intensive and complex, spanning multiple phases of care and disciplines. Using a simulation model built with a system level view of the healthcare system allows for prediction of the impact of interventions on patient and system outcomes from injury through to community reintegration after tSCI. The Access to Care and Timing (ACT) project developed a simulation model for tSCI care using techniques from operations research and its development has been described previously...
March 12, 2017: Journal of Neurotrauma
https://www.readbyqxmd.com/read/28277018/gender-and-national-origin-differences-in-healthcare-utilization-among-u-s-immigrants-from-mexico-china-and-india
#14
Jen'nan Ghazal Read, Paige Borelli Smith
OBJECTIVES: To examine gender and national origin differences in the healthcare utilization of immigrants from the three largest populations in the U.S. today (Mexico, China, and India) and to determine if barriers to utilization operate similarly across groups. METHODS: The analysis uses nationally-representative data from the 2003 New Immigrant Survey (NIS) to compare utilization behaviors among legal permanent residents from Mexico, China, and India (n = 2244)...
February 28, 2017: Ethnicity & Health
https://www.readbyqxmd.com/read/28268855/the-effects-of-deep-network-topology-on-mortality-prediction
#15
Hao Du, Mohammad M Ghassemi, Mengling Feng
Deep learning has achieved remarkable results in the areas of computer vision, speech recognition, natural language processing and most recently, even playing Go. The application of deep-learning to problems in healthcare, however, has gained attention only in recent years, and it's ultimate place at the bedside remains a topic of skeptical discussion. While there is a growing academic interest in the application of Machine Learning (ML) techniques to clinical problems, many in the clinical community see little incentive to upgrade from simpler methods, such as logistic regression, to deep learning...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268837/a-novel-algorithm-for-reducing-false-arrhythmia-alarms-in-intensive-care-units
#16
Chandan Srivastava, Sonal Sharma, Ali Jalali
Alarm fatigue in intensive care units (ICU) is one of the top healthcare issues in the US. False alarms in ICU will decrease the quality of care and staff response time over the alarms. Normally, false alarm will cause desensitization of the clinical staff which leads to warnings and misleading, if the triggered alarm is true. In this study, we have proposed a multi-model ensemble approach to reduce the false alarm rate in monitoring systems. We have used 750 patient records from PhysioNet database. At First arrhythmia based features from electrocardiogram (ECG), arterial blood pressure (ABP) and photoplethysmogram (PPG) features were extracted from the records...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268311/behavioral-informatics-dynamical-models-for-measuring-and-assessing-behaviors-for-precision-interventions
#17
Misha Pavel, Holly Jimison, Bonnie Spring
Poor health-related behaviors represent a major challenge to healthcare due to their significant impact on chronic and acute diseases and their effect on the quality of life. Recent advances in technology have enabled an unprecedented opportunity to assess objectively, unobtrusively and continuously human behavior and have opened the possibility of optimizing individual-tailored, precision interventions within the framework of behavioral informatics. A key prerequisite for this optimization is the ability to assess and predict effects of interventions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28267463/early-inpatient-calculation-of-laboratory-based-30-day-readmission-risk-scores-empowers-clinical-risk-modification-during-index-hospitalization
#18
Benjamin D Horne, Deborah Budge, Andrew L Masica, Lucy A Savitz, José Benuzillo, Gabriela Cantu, Alejandra Bradshaw, Raymond O McCubrey, Tami L Bair, Colleen A Roberts, Kismet D Rasmusson, Rami Alharethi, Abdallah G Kfoury, Brent C James, Donald L Lappé
Improving 30-day readmission continues to be problematic for most hospitals. This study reports the creation and validation of sex-specific inpatient (i) heart failure (HF) risk scores using electronic data from the beginning of inpatient care for effective and efficient prediction of 30-day readmission risk. METHODS: HF patients hospitalized at Intermountain Healthcare from 2005 to 2012 (derivation: n=6079; validation: n=2663) and Baylor Scott & White Health (North Region) from 2005 to 2013 (validation: n=5162) were studied...
March 2017: American Heart Journal
https://www.readbyqxmd.com/read/28265122/ontology-based-deep-learning-for-human-behavior-prediction-with-explanations-in-health-social-networks
#19
Nhathai Phan, Dejing Dou, Hao Wang, David Kil, Brigitte Piniewski
Human behavior modeling is a key component in application domains such as healthcare and social behavior research. In addition to accurate prediction, having the capacity to understand the roles of human behavior determinants and to provide explanations for the predicted behaviors is also important. Having this capacity increases trust in the systems and the likelihood that the systems actually will be adopted, thus driving engagement and loyalty. However, most prediction models do not provide explanations for the behaviors they predict...
April 2017: Information Sciences
https://www.readbyqxmd.com/read/28264756/systematic-review-of-risk-prediction-scores-for-surgical-site-infection-or-periprosthetic-joint-infection-following-joint-arthroplasty
#20
S K Kunutsor, M R Whitehouse, A W Blom, A D Beswick
Accurate identification of individuals at high risk of surgical site infections (SSIs) or periprosthetic joint infections (PJIs) influences clinical decisions and development of preventive strategies. We aimed to determine progress in the development and validation of risk prediction models for SSI or PJI using a systematic review. We searched for studies that have developed or validated a risk prediction tool for SSI or PJI following joint replacement in MEDLINE, EMBASE, Web of Science and Cochrane databases; trial registers and reference lists of studies up to September 2016...
March 7, 2017: Epidemiology and Infection
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