These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 27332363)

  • 1. Effect of Automatic Inpatient Fall Prediction Using Routinely Captured EMR Data: Preliminary Results.
    Cho I; Chung E
    Stud Health Technol Inform; 2016; 225():828-9. PubMed ID: 27332363
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Exploration of Risk Factors for Falls Using Electronic Nursing Records.
    Choi E; Lee Y; Yang E; Kim J; Kim Y; Park HA
    Stud Health Technol Inform; 2016; 225():637-8. PubMed ID: 27332288
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improving inpatient fall prevention strategies using interactive data repository information system.
    Chen L; Yu HC; Lee HC; Chung Y; Shang RJ; Liu HY; Tan CT; Lai F
    Stud Health Technol Inform; 2014; 201():87-93. PubMed ID: 24943529
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fall Ascertainment and Development of a Risk Prediction Model Using Electronic Medical Records.
    Oshiro CES; Frankland TB; Rosales AG; Perrin NA; Bell CL; Lo SHY; Trinacty CM
    J Am Geriatr Soc; 2019 Jul; 67(7):1417-1422. PubMed ID: 30875089
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Novel Approach to Inpatient Fall Risk Prediction and Its Cross-Site Validation Using Time-Variant Data.
    Cho I; Boo EH; Chung E; Bates DW; Dykes P
    J Med Internet Res; 2019 Feb; 21(2):e11505. PubMed ID: 30777849
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and evaluation of an automated fall risk assessment system.
    Lee JY; Jin Y; Piao J; Lee SM
    Int J Qual Health Care; 2016 Apr; 28(2):175-82. PubMed ID: 26851379
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Electronic fall surveillance system model.
    Falen T; Unruh L; Segal D
    Health Care Manag (Frederick); 2011; 30(4):342-51. PubMed ID: 22042142
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A data-driven and practice-based approach to identify risk factors associated with hospital-acquired falls: Applying manual and semi- and fully-automated methods.
    Lucero RJ; Lindberg DS; Fehlberg EA; Bjarnadottir RI; Li Y; Cimiotti JP; Crane M; Prosperi M
    Int J Med Inform; 2019 Feb; 122():63-69. PubMed ID: 30623785
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Validity of the Morse Fall Scale implemented in an electronic medical record system.
    Baek S; Piao J; Jin Y; Lee SM
    J Clin Nurs; 2014 Sep; 23(17-18):2434-40. PubMed ID: 24112535
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Improving Prediction of Fall Risk Using Electronic Health Record Data With Various Types and Sources at Multiple Times.
    Jung H; Park HA; Hwang H
    Comput Inform Nurs; 2020 Mar; 38(3):157-164. PubMed ID: 31498252
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm.
    Ye C; Li J; Hao S; Liu M; Jin H; Zheng L; Xia M; Jin B; Zhu C; Alfreds ST; Stearns F; Kanov L; Sylvester KG; Widen E; McElhinney D; Ling XB
    Int J Med Inform; 2020 May; 137():104105. PubMed ID: 32193089
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Developing a hospital-specific electronic inpatient fall surveillance program: phase 1.
    Falen T; Alexander J; Curtis D; UnRuh L
    Health Care Manag (Frederick); 2013; 32(4):359-69. PubMed ID: 24168872
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A case-control study of pediatric falls using electronic medical records.
    Messmer PR; Williams PD; Williams AR
    Rehabil Nurs; 2013; 38(2):73-9. PubMed ID: 23529945
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Analysis of a Locally Controlled Vocabulary in an Electronic Health Records for Evidence-Based Inpatient Fall-Prevention Care.
    Chae J; Cho I; Yoo A; Kim Y
    Stud Health Technol Inform; 2018; 250():79. PubMed ID: 29857385
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of Nursing Actions Documented in EHRs for Patients Falls Against Clinical Practice Guidelines in a Korean Tertiary Hospital.
    Lee Y; Choi E; Yang E; Kim J; Kim Y; Park HA
    Stud Health Technol Inform; 2016; 225():639-40. PubMed ID: 27332289
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluating the Effectiveness of a Fall Risk Screening Tool Implemented in an Electronic Medical Record System.
    Yokota S; Tomotaki A; Mohri O; Endo M; Ohe K
    J Nurs Care Qual; 2018; 33(4):E1-E6. PubMed ID: 29271833
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Longitudinal Evaluation of Johns Hopkins Fall Risk Assessment Tool and Nurses' Experience.
    Hur EY; Jin Y; Jin T; Lee SM
    J Nurs Care Qual; 2017; 32(3):242-251. PubMed ID: 27841826
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Improving prediction of fall risk among nursing home residents using electronic medical records.
    Marier A; Olsho LE; Rhodes W; Spector WD
    J Am Med Inform Assoc; 2016 Mar; 23(2):276-82. PubMed ID: 26104743
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improving patient safety by optimizing the use of nursing human resources.
    Rochefort CM; Buckeridge DL; Abrahamowicz M
    Implement Sci; 2015 Jun; 10():89. PubMed ID: 26071752
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison of Two Different Models to Predict Fall Risk in Hospitalized Patients.
    Carroll C; Arnold LA; Eberlein B; Westenberger C; Colfer K; Naidech AM; Ramsey K; Sturgeon C
    Jt Comm J Qual Patient Saf; 2022 Jan; 48(1):33-39. PubMed ID: 34810132
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.