Appl Clin Inform - Exploring the value of clinical data standards to predict hospitalization of home care patients.

Tópicos

{ model(2341) predict(2261) use(1141) }
{ patient(2837) hospit(1953) medic(668) }
{ ehr(2073) health(1662) electron(1139) }
{ sampl(1606) size(1419) use(1276) }
{ patient(1821) servic(1111) care(1106) }
{ risk(3053) factor(974) diseas(938) }
{ measur(2081) correl(1212) valu(896) }
{ group(2977) signific(1463) compar(1072) }
{ time(1939) patient(1703) rate(768) }
{ activ(1452) weight(1219) physic(1104) }
{ health(3367) inform(1360) care(1135) }
{ studi(2440) review(1878) systemat(933) }
{ assess(1506) score(1403) qualiti(1306) }
{ clinic(1479) use(1117) guidelin(835) }
{ case(1353) use(1143) diagnosi(1136) }
{ record(1888) medic(1808) patient(1693) }
{ monitor(1329) mobil(1314) devic(1160) }
{ first(2504) two(1366) second(1323) }
{ health(1844) social(1437) communiti(874) }
{ high(1669) rate(1365) level(1280) }
{ estim(2440) model(1874) function(577) }
{ model(3404) distribut(989) bayesian(671) }
{ imag(1947) propos(1133) code(1026) }
{ imag(2675) segment(2577) method(1081) }
{ treatment(1704) effect(941) patient(846) }
{ framework(1458) process(801) describ(734) }
{ method(1557) propos(1049) approach(1037) }
{ control(1307) perform(991) simul(935) }
{ method(984) reconstruct(947) comput(926) }
{ featur(1941) imag(1645) propos(1176) }
{ system(1050) medic(1026) inform(1018) }
{ import(1318) role(1303) understand(862) }
{ perform(1367) use(1326) method(1137) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ cost(1906) reduc(1198) effect(832) }
{ use(1733) differ(960) four(931) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ survey(1388) particip(1329) question(1065) }
{ process(1125) use(805) approach(778) }
{ method(1969) cluster(1462) data(1082) }
{ can(774) often(719) complex(702) }
{ data(1737) use(1416) pattern(1282) }
{ inform(2794) health(2639) internet(1427) }
{ system(1976) rule(880) can(841) }
{ imag(1057) registr(996) error(939) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ method(1219) similar(1157) match(930) }
{ featur(3375) classif(2383) classifi(1994) }
{ imag(2830) propos(1344) filter(1198) }
{ network(2748) neural(1063) input(814) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ motion(1329) object(1292) video(1091) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ problem(2511) optim(1539) algorithm(950) }
{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ learn(2355) train(1041) set(1003) }
{ concept(1167) ontolog(924) domain(897) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ model(2220) cell(1177) simul(1124) }
{ care(1570) inform(1187) nurs(1089) }
{ general(901) number(790) one(736) }
{ search(2224) databas(1162) retriev(909) }
{ howev(809) still(633) remain(590) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
{ perform(999) metric(946) measur(919) }
{ research(1085) discuss(1038) issu(1018) }
{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ model(3480) simul(1196) paramet(876) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ structur(1116) can(940) graph(676) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ implement(1333) system(1263) develop(1122) }
{ decis(3086) make(1611) patient(1517) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

CKGROUND: There is a critical need to reduce hospitalizations for Medicare patients and electronic health record (EHR) home care data provide new opportunities to evaluate risk of hospitalization for patients.OBJECTIVES: The objectives of this study were to 1) develop a measure to predict risk of hospitalization among home care patients, the Hospitalization Risk Score (HRS), and 2) compare it with an existing severity of illness measure, the Charlson Index of Comorbidity (CIC).METHODS: A convenience sample of clinical data from 14 home care agencies' EHRs, representing 1,643 home care patient episodes was used for the study. The development of the HRS was based on review of the literature, and expert panel evaluation to construct the HRS. Descriptive statistics and generalized linear models were used for comparative analysis; areas under curve (AUC) values were compared for receiver operating curves (ROC), and cut points predicting hospitalization were evaluated.RESULTS: The HRS for this sample ranged from 0 to 5.6, with a median of 1.25. The CIC for this sample ranged from 0 to 9 and with a median of 0. Nearly three fourths of the sample was hospitalized at an HRS of 2, and a CIC of 1. AUC values for ROC were 0.63 for HRS and 0.59 for the CIC. The ROC curves were significantly different (t = -7.59, p <0.003).CONCLUSIONS: This preliminary study demonstrates the potential value of the HRS using Omaha System EHR data. There was a statistically significant difference for predicting hospitalization of home care patients with the HRS versus the CIC; however the AUC values for both were low. Continued research is needed to further refine the HRS, determine whether it is more sensitive for particular subgroups of patients, and combine it with additional risk factors in understanding rehospitalization.

Resumo Limpo

ckground critic need reduc hospit medicar patient electron health record ehr home care data provid new opportun evalu risk hospit patientsobject object studi develop measur predict risk hospit among home care patient hospit risk score hrs compar exist sever ill measur charlson index comorbid cicmethod conveni sampl clinic data home care agenc ehr repres home care patient episod use studi develop hrs base review literatur expert panel evalu construct hrs descript statist general linear model use compar analysi area curv auc valu compar receiv oper curv roc cut point predict hospit evaluatedresult hrs sampl rang median cic sampl rang median near three fourth sampl hospit hrs cic auc valu roc hrs cic roc curv signific differ t p conclus preliminari studi demonstr potenti valu hrs use omaha system ehr data statist signific differ predict hospit home care patient hrs versus cic howev auc valu low continu research need refin hrs determin whether sensit particular subgroup patient combin addit risk factor understand rehospit

Resumos Similares

Appl Clin Inform - Comparing predictions made by a prediction model, clinical score, and physicians: pediatric asthma exacerbations in the emergency department. ( 0,852867072617616 )
Comput Methods Programs Biomed - Development of a daily mortality probability prediction model from Intensive Care Unit patients using a discrete-time event history analysis. ( 0,852006374293756 )
AMIA Annu Symp Proc - Development and implementation of a real-time 30-day readmission predictive model. ( 0,832931372881351 )
BMC Med Inform Decis Mak - Computerized prediction of intensive care unit discharge after cardiac surgery: development and validation of a Gaussian processes model. ( 0,811829490513384 )
Health Informatics J - Development of an automated model to predict the risk of elderly emergency medical admissions within a month following an index hospital visit: a Hong Kong experience. ( 0,799830106639626 )
J Clin Monit Comput - Use of genetic programming, logistic regression, and artificial neural nets to predict readmission after coronary artery bypass surgery. ( 0,787849764495876 )
Comput. Biol. Med. - A ternary model of decompression sickness in rats. ( 0,787352281251901 )
BMC Med Inform Decis Mak - Artificial neural network models for prediction of cardiovascular autonomic dysfunction in general Chinese population. ( 0,779243501958342 )
J Am Med Inform Assoc - An improved model for predicting postoperative nausea and vomiting in ambulatory surgery patients using physician-modifiable risk factors. ( 0,775747914555289 )
BMC Med Inform Decis Mak - A three-step approach for the derivation and validation of high-performing predictive models using an operational dataset: congestive heart failure readmission case study. ( 0,773009376798095 )
Int J Med Inform - Application of data mining to the identification of critical factors in patient falls using a web-based reporting system. ( 0,760806341009257 )
AMIA Annu Symp Proc - Predicting Surgical Risk: How Much Data is Enough? ( 0,756087002761736 )
Med Decis Making - Application of an artificial neural network to predict postinduction hypotension during general anesthesia. ( 0,755046831554844 )
Med Decis Making - Performance profiling in primary care: does the choice of statistical model matter? ( 0,753669462871798 )
Lifetime Data Anal - Understanding increments in model performance metrics. ( 0,744743723953154 )
IEEE J Biomed Health Inform - The effect of sample age and prediction resolution on myocardial infarction risk prediction. ( 0,739687814376504 )
J Med Syst - Classifying hospitals as mortality outliers: logistic versus hierarchical logistic models. ( 0,733616816639125 )
J Biomed Inform - Decision-making model for early diagnosis of congestive heart failure using rough set and decision tree approaches. ( 0,730747176757912 )
Artif Intell Med - Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores. ( 0,723866360577401 )
Comput Math Methods Med - Variable selection in ROC regression. ( 0,723838979696813 )
J. Comput. Biol. - Prediction of siRNA potency using sparse logistic regression. ( 0,723144246036998 )
BMC Med Inform Decis Mak - Evaluation of prediction models for the staging of prostate cancer. ( 0,721405795942771 )
Med Decis Making - Adaptation of clinical prediction models for application in local settings. ( 0,717296512840212 )
BMC Med Inform Decis Mak - Mining geriatric assessment data for in-patient fall prediction models and high-risk subgroups. ( 0,717272849059761 )
J Biomed Inform - Statistical process control for validating a classification tree model for predicting mortality--a novel approach towards temporal validation. ( 0,710986791707982 )
J Am Med Inform Assoc - Using electronic health record data to develop inpatient mortality predictive model: Acute Laboratory Risk of Mortality Score (ALaRMS). ( 0,704295681027943 )
Med Decis Making - Performance of a mathematical model to forecast lives saved from HIV treatment expansion in resource-limited settings. ( 0,701512268422626 )
Comput Methods Programs Biomed - Single stage and multistage classification models for the prediction of liver fibrosis degree in patients with chronic hepatitis C infection. ( 0,69569787980384 )
Med Decis Making - Development of inpatient risk stratification models of acute kidney injury for use in electronic health records. ( 0,695268629719584 )
BMC Med Inform Decis Mak - Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection. ( 0,695157185368695 )
Comput Math Methods Med - Prediction of BP reactivity to talking using hybrid soft computing approaches. ( 0,693715968626961 )
BMC Med Inform Decis Mak - Risk factors for adverse reactions from contrast agents for computed tomography. ( 0,693266545005559 )
Int J Health Geogr - Prediction of high-risk areas for visceral leishmaniasis using socioeconomic indicators and remote sensing data. ( 0,692971219660003 )
AMIA Annu Symp Proc - Clinician perspectives on the quality of patient data used for clinical decision support: a qualitative study. ( 0,690898906843267 )
J Biomed Inform - Development and validation of a continuous measure of patient condition using the Electronic Medical Record. ( 0,688435413925904 )
BMC Med Inform Decis Mak - Bayesian predictors of very poor health related quality of life and mortality in patients with COPD. ( 0,688092454696307 )
Med Decis Making - A comparison of methods for converting DCE values onto the full health-dead QALY scale. ( 0,686969740433061 )
Appl Clin Inform - Optimization of decision support tool using medication regimens to assess rehospitalization risks. ( 0,683514742444286 )
Comput Methods Programs Biomed - Exploring an optimal vector autoregressive model for multi-channel pulmonary sound data. ( 0,681034895209062 )
Med Biol Eng Comput - System identification of the mechanomyogram from single motor units during voluntary isometric contraction. ( 0,679849830368128 )
Comput Math Methods Med - Modified logistic regression models using gene coexpression and clinical features to predict prostate cancer progression. ( 0,678023478641154 )
Med Decis Making - Predictive Modeling of Implantation Outcome in an In Vitro Fertilization Setting: An Application of Machine Learning Methods. ( 0,676573027459114 )
J Chem Inf Model - Are bigger data sets better for machine learning? Fusing single-point and dual-event dose response data for Mycobacterium tuberculosis. ( 0,676087364299795 )
Comput. Biol. Med. - Pre-operative prediction of surgical morbidity in children: comparison of five statistical models. ( 0,675219863341718 )
Methods Inf Med - Limited sampling strategies to estimate the area under the concentration-time curve. Biases and a proposed more accurate method. ( 0,672314536922473 )
BMC Med Inform Decis Mak - Prediction of axillary lymph node metastasis in primary breast cancer patients using a decision tree-based model. ( 0,672073483774334 )
Comput. Biol. Med. - A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks. ( 0,67204509741462 )
AMIA Annu Symp Proc - A clinical decision tool for predicting patient care characteristics: patients returning within 72 hours in the emergency department. ( 0,671768834865881 )
J Chem Inf Model - Two new parameters based on distances in a receiver operating characteristic chart for the selection of classification models. ( 0,671709790483131 )
IEEE Trans Image Process - Network-based H.264/AVC whole frame loss visibility model and frame dropping methods. ( 0,67130372896933 )
Neural Comput - An extension of the receiver operating characteristic curve and AUC-optimal classification. ( 0,668180341895316 )
J Chem Inf Model - Ligand efficiency-based support vector regression models for predicting bioactivities of ligands to drug target proteins. ( 0,667977108265812 )
Spat Spatiotemporal Epidemiol - Assessment of land use factors associated with dengue cases in Malaysia using Boosted Regression Trees. ( 0,667554251689673 )
Med Decis Making - Lehmann family of ROC curves. ( 0,665257358868726 )
AMIA Annu Symp Proc - Early prediction of the response of breast tumors to neoadjuvant chemotherapy using quantitative MRI and machine learning. ( 0,66520849645988 )
J Med Syst - Effective automated prediction of vertebral column pathologies based on logistic model tree with SMOTE preprocessing. ( 0,664866418973723 )
Methods Inf Med - Sensor-based fall risk assessment--an expert 'to go'. ( 0,663855416472799 )
J Biomed Inform - Not just data: a method for improving prediction with knowledge. ( 0,66049470536731 )
J Clin Monit Comput - Complex signals bioinformatics: evaluation of heart rate characteristics monitoring as a novel risk marker for neonatal sepsis. ( 0,655240890760578 )
J Am Med Inform Assoc - Automating annotation of information-giving for analysis of clinical conversation. ( 0,648764134900866 )
J Am Med Inform Assoc - Mining high-dimensional administrative claims data to predict early hospital readmissions. ( 0,646832255745679 )
BMC Med Inform Decis Mak - Use of outcomes to evaluate surveillance systems for bioterrorist attacks. ( 0,644185420976048 )
J Biomed Inform - The effects of data sources, cohort selection, and outcome definition on a predictive model of risk of thirty-day hospital readmissions. ( 0,643488786750034 )
Int J Health Geogr - Application of satellite precipitation data to analyse and model arbovirus activity in the tropics. ( 0,64110167046131 )
Spat Spatiotemporal Epidemiol - Modeling habitat suitability for occurrence of highly pathogenic avian influenza virus H5N1 in domestic poultry in Asia: a spatial multicriteria decision analysis approach. ( 0,640542226769576 )
Int J Med Inform - Prediction of hospitalization due to heart diseases by supervised learning methods. ( 0,63490444794547 )
BMC Med Inform Decis Mak - Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study. ( 0,63405194211005 )
Comput Methods Programs Biomed - Prediction of postprandial blood glucose under uncertainty and intra-patient variability in type 1 diabetes: a comparative study of three interval models. ( 0,632247051393009 )
Artif Intell Med - Assessing and combining repeated prognosis of physicians and temporal models in the intensive care. ( 0,631011808999459 )
BMC Med Inform Decis Mak - Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning. ( 0,630919692892164 )
J Biomed Inform - Prediction of influenza vaccination outcome by neural networks and logistic regression. ( 0,630121759666248 )
Methods Inf Med - Classification of postural profiles among mouth-breathing children by learning vector quantization. ( 0,628781134902407 )
J Med Syst - A new approach: role of data mining in prediction of survival of burn patients. ( 0,62736987368187 )
J Biomed Inform - Partial least squares and logistic regression random-effects estimates for gene selection in supervised classification of gene expression data. ( 0,627255486642871 )
BMC Med Inform Decis Mak - Decision curve analysis revisited: overall net benefit, relationships to ROC curve analysis, and application to case-control studies. ( 0,623072733942287 )
AMIA Annu Symp Proc - Developing predictive models using electronic medical records: challenges and pitfalls. ( 0,620794436736783 )
Comput Math Methods Med - Screening for prediabetes using machine learning models. ( 0,619912756110065 )
AMIA Annu Symp Proc - Clinical risk prediction by exploring high-order feature correlations. ( 0,618374173832037 )
Int J Health Geogr - The effects of deprivation and relative deprivation on self-reported morbidity in England: an area-level ecological study. ( 0,616824564951102 )
J Med Syst - Comparison of artificial neural networks with logistic regression for detection of obesity. ( 0,616741714119151 )
Comput. Biol. Med. - A novel mortality model for acute alcoholic hepatitis including variables recorded after admission to hospital. ( 0,616730370810449 )
Int J Health Geogr - Assessing the effects of variables and background selection on the capture of the tick climate niche. ( 0,616196704522888 )
Med Biol Eng Comput - Prediction of persistence of combined evidence-based cardiovascular medications in patients with acute coronary syndrome after hospital discharge using neural networks. ( 0,614882636937221 )
Artif Intell Med - Predicting the need for CT imaging in children with minor head injury using an ensemble of Naive Bayes classifiers. ( 0,614054548110227 )
Lifetime Data Anal - Estimating improvement in prediction with matched case-control designs. ( 0,612837714521518 )
J Am Med Inform Assoc - From vital signs to clinical outcomes for patients with sepsis: a machine learning basis for a clinical decision support system. ( 0,612802862613766 )
Int J Health Geogr - Modeling larval malaria vector habitat locations using landscape features and cumulative precipitation measures. ( 0,610644215235238 )
Med Decis Making - Constructing proper ROCs from ordinal response data using weighted power functions. ( 0,610027531379528 )
Comput Math Methods Med - Iterative reweighted noninteger norm regularizing SVM for gene expression data classification. ( 0,609852591872321 )
Appl Clin Inform - Patient no-show predictive model development using multiple data sources for an effective overbooking approach. ( 0,608034711145975 )
J Am Med Inform Assoc - Supervised embedding of textual predictors with applications in clinical diagnostics for pediatric cardiology. ( 0,605898678519022 )
Med Decis Making - Modeling and validating the cost and clinical pathway of colorectal cancer. ( 0,60438246334262 )
Med Biol Eng Comput - Mortality prediction of rats in acute hemorrhagic shock using machine learning techniques. ( 0,604158354184992 )
Artif Intell Med - Machine learning of clinical performance in a pancreatic cancer database. ( 0,603522489538519 )
Comput Methods Programs Biomed - Recurrence predictive models for patients with hepatocellular carcinoma after radiofrequency ablation using support vector machines with feature selection methods. ( 0,602328674379889 )
Brief. Bioinformatics - Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them). ( 0,599806354272491 )
J Biomed Inform - An empirical approach to model selection through validation for censored survival data. ( 0,598227964633408 )
Artif Intell Med - Prediction of human major histocompatibility complex class II binding peptides by continuous kernel discrimination method. ( 0,59545330811831 )
Comput. Biol. Med. - Identifying high-cost patients using data mining techniques and a small set of non-trivial attributes. ( 0,587040074768323 )
Int J Health Geogr - Ecological niche model of Phlebotomus alexandri and P. papatasi (Diptera: Psychodidae) in the Middle East. ( 0,584579374331278 )