134 related articles for article (PubMed ID: 34670548)
1. A statistical quality assessment method for longitudinal observations in electronic health record data with an application to the VA million veteran program.
Wang H; Belitskaya-Levy I; Wu F; Lee JS; Shih MC; Tsao PS; Lu Y;
BMC Med Inform Decis Mak; 2021 Oct; 21(1):289. PubMed ID: 34670548
[TBL] [Abstract][Full Text] [Related]
2. Big Data in the Veterans Health Administration: A Nursing Informatics Perspective.
Deckro J; Phillips T; Davis A; Hehr AT; Ochylski S
J Nurs Scholarsh; 2021 May; 53(3):288-295. PubMed ID: 33689232
[TBL] [Abstract][Full Text] [Related]
3. A clustering approach for detecting implausible observation values in electronic health records data.
Estiri H; Klann JG; Murphy SN
BMC Med Inform Decis Mak; 2019 Jul; 19(1):142. PubMed ID: 31337390
[TBL] [Abstract][Full Text] [Related]
4. Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study.
Raket LL; Jaskolowski J; Kinon BJ; Brasen JC; Jönsson L; Wehnert A; Fusar-Poli P
Lancet Digit Health; 2020 May; 2(5):e229-e239. PubMed ID: 33328055
[TBL] [Abstract][Full Text] [Related]
5. Impacts of an Electronic Health Record Transition on Veterans Health Administration Health Professions Trainee Experience.
Ahlness EA; Molloy-Paolillo BK; Brunner J; Cutrona SL; Kim B; Matteau E; Rinne ST; Walton E; Wong E; Sayre G
J Gen Intern Med; 2023 Oct; 38(Suppl 4):1031-1039. PubMed ID: 37798576
[TBL] [Abstract][Full Text] [Related]
6. Automating Electronic Health Record Data Quality Assessment.
Ozonze O; Scott PJ; Hopgood AA
J Med Syst; 2023 Feb; 47(1):23. PubMed ID: 36781551
[TBL] [Abstract][Full Text] [Related]
7. Measuring Exposure to Incarceration Using the Electronic Health Record.
Wang EA; Long JB; McGinnis KA; Wang KH; Wildeman CJ; Kim C; Bucklen KB; Fiellin DA; Bates J; Brandt C; Justice AC
Med Care; 2019 Jun; 57 Suppl 6 Suppl 2(Suppl 6 2):S157-S163. PubMed ID: 31095055
[TBL] [Abstract][Full Text] [Related]
8. Leveraging Electronic Health Care Record Information to Measure Pressure Ulcer Risk in Veterans With Spinal Cord Injury: A Longitudinal Study Protocol.
Luther SL; Thomason SS; Sabharwal S; Finch DK; McCart J; Toyinbo P; Bouayad L; Matheny ME; Gobbel GT; Powell-Cope G
JMIR Res Protoc; 2017 Jan; 6(1):e3. PubMed ID: 28104580
[TBL] [Abstract][Full Text] [Related]
9. Depression Quality of Care: Measuring Quality over Time Using VA Electronic Medical Record Data.
Farmer MM; Rubenstein LV; Sherbourne CD; Huynh A; Chu K; Lam CA; Fickel JJ; Lee ML; Metzger ME; Verchinina L; Post EP; Chaney EF
J Gen Intern Med; 2016 Apr; 31 Suppl 1(Suppl 1):36-45. PubMed ID: 26951274
[TBL] [Abstract][Full Text] [Related]
10. Automated safety event monitoring using electronic medical records in a clinical trial setting: Validation study using the VA NEPHRON-D trial.
Huang Y; Fried LF; Kyriakides TC; Johnson GR; Chiu S; Mcdonald L; Zhang JH
Clin Trials; 2019 Feb; 16(1):81-89. PubMed ID: 30445841
[TBL] [Abstract][Full Text] [Related]
11. Development of Predictive Informatics Tool Using Electronic Health Records to Inform Personalized Evidence-Based Pressure Injury Management for Veterans with Spinal Cord Injury.
Bogie KM; Roggenkamp SK; Zeng N; Seton JM; Schwartz KR; Henzel MK; Richmond MA; Sun J; Zhang GQ
Mil Med; 2021 Jan; 186(Suppl 1):651-658. PubMed ID: 33499541
[TBL] [Abstract][Full Text] [Related]
12. Predicting Life Expectancy to Target Cancer Screening Using Electronic Health Record Clinical Data.
Lee AK; Jing B; Jeon SY; Boscardin WJ; Lee SJ
J Gen Intern Med; 2022 Feb; 37(3):499-506. PubMed ID: 34327653
[TBL] [Abstract][Full Text] [Related]
13. Semi-supervised encoding for outlier detection in clinical observation data.
Estiri H; Murphy SN
Comput Methods Programs Biomed; 2019 Nov; 181():104830. PubMed ID: 30658851
[TBL] [Abstract][Full Text] [Related]
14. A method for cohort selection of cardiovascular disease records from an electronic health record system.
Abrahão MTF; Nobre MRC; Gutierrez MA
Int J Med Inform; 2017 Jun; 102():138-149. PubMed ID: 28495342
[TBL] [Abstract][Full Text] [Related]
15. Automated data cleaning of paediatric anthropometric data from longitudinal electronic health records: protocol and application to a large patient cohort.
Phan HTT; Borca F; Cable D; Batchelor J; Davies JH; Ennis S
Sci Rep; 2020 Jun; 10(1):10164. PubMed ID: 32576940
[TBL] [Abstract][Full Text] [Related]
16. Evaluating current automatic de-identification methods with Veteran's health administration clinical documents.
Ferrández O; South BR; Shen S; Friedlin FJ; Samore MH; Meystre SM
BMC Med Res Methodol; 2012 Jul; 12():109. PubMed ID: 22839356
[TBL] [Abstract][Full Text] [Related]
17. Evaluating patient access to Electronic Health Records: results from a survey of veterans.
Nazi KM; Hogan TP; McInnes DK; Woods SS; Graham G
Med Care; 2013 Mar; 51(3 Suppl 1):S52-6. PubMed ID: 23407012
[TBL] [Abstract][Full Text] [Related]
18. Comprehensive methodology to monitor longitudinal change patterns during EHR implementations: a case study at a large health care delivery network.
Colicchio TK; Del Fiol G; Scammon DL; Facelli JC; Bowes WA; Narus SP
J Biomed Inform; 2018 Jul; 83():40-53. PubMed ID: 29857137
[TBL] [Abstract][Full Text] [Related]
19. Applying Lean Six Sigma to improve medication management.
Nayar P; Ojha D; Fetrick A; Nguyen AT
Int J Health Care Qual Assur; 2016; 29(1):16-23. PubMed ID: 26771058
[TBL] [Abstract][Full Text] [Related]
20. Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains.
Rajeevan N; Niehoff KM; Charpentier P; Levin FL; Justice A; Brandt CA; Fried TR; Miller PL
BMC Med Inform Decis Mak; 2017 Jul; 17(1):111. PubMed ID: 28724368
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]