Literature DB >> 27735825

Path From Predictive Analytics to Improved Patient Outcomes: A Framework to Guide Use, Implementation, and Evaluation of Accurate Surgical Predictive Models.

Alex Hs Harris1.   

Abstract

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Mesh：

Year:  2017        PMID： 27735825      PMCID： PMC5645012          DOI： 10.1097/SLA.0000000000002023

Source DB:  PubMed          Journal:  Ann Surg        ISSN： 0003-4932            Impact factor:   12.969


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  6 in total

1.  Integrating Predictive Analytics Into High-Value Care: The Dawn of Precision Delivery.

Authors:  Ravi B Parikh; Meetali Kakad; David W Bates
Journal:  JAMA       Date:  2016-02-16       Impact factor: 56.272

2.  Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons.

Authors:  Karl Y Bilimoria; Yaoming Liu; Jennifer L Paruch; Lynn Zhou; Thomas E Kmiecik; Clifford Y Ko; Mark E Cohen
Journal:  J Am Coll Surg       Date:  2013-09-18       Impact factor: 6.113

3.  A controlled trial to improve care for seriously ill hospitalized patients. The study to understand prognoses and preferences for outcomes and risks of treatments (SUPPORT). The SUPPORT Principal Investigators.

Authors: 
Journal:  JAMA       Date:  1995 Nov 22-29       Impact factor: 56.272

Review 4.  Clinical Prediction Models for Cardiovascular Disease: Tufts Predictive Analytics and Comparative Effectiveness Clinical Prediction Model Database.

Authors:  Benjamin S Wessler; Lana Lai Yh; Whitney Kramer; Michael Cangelosi; Gowri Raman; Jennifer S Lutz; David M Kent
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2015-07-07

5.  Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD).

Authors:  Gary S Collins; Johannes B Reitsma; Douglas G Altman; Karel G M Moons
Journal:  Ann Intern Med       Date:  2015-05-19       Impact factor: 25.391

6.  Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges.

Authors:  Ruben Amarasingham; Anne-Marie J Audet; David W Bates; I Glenn Cohen; Martin Entwistle; G J Escobar; Vincent Liu; Lynn Etheredge; Bernard Lo; Lucila Ohno-Machado; Sudha Ram; Suchi Saria; Lisa M Schilling; Anand Shahi; Walter F Stewart; Ewout W Steyerberg; Bin Xie
Journal:  EGEMS (Wash DC)       Date:  2016-03-07
  6 in total
  9 in total

1.  Can Machine Learning Methods Produce Accurate and Easy-to-use Prediction Models of 30-day Complications and Mortality After Knee or Hip Arthroplasty?

Authors:  Alex H S Harris; Alfred C Kuo; Yingjie Weng; Amber W Trickey; Thomas Bowe; Nicholas J Giori
Journal:  Clin Orthop Relat Res       Date:  2019-02       Impact factor: 4.176

2.  Development of a machine learning algorithm predicting discharge placement after surgery for spondylolisthesis.

Authors:  Paul T Ogink; Aditya V Karhade; Quirina C B S Thio; Stuart H Hershman; Thomas D Cha; Christopher M Bono; Joseph H Schwab
Journal:  Eur Spine J       Date:  2019-03-27       Impact factor: 3.134

3.  Prediction Models for 30-Day Mortality and Complications After Total Knee and Hip Arthroplasties for Veteran Health Administration Patients With Osteoarthritis.

Authors:  Alex Hs Harris; Alfred C Kuo; Thomas Bowe; Shalini Gupta; David Nordin; Nicholas J Giori
Journal:  J Arthroplasty       Date:  2017-12-13       Impact factor: 4.757

4.  Barriers to Implementing an Artificial Intelligence Model for Unplanned Readmissions.

Authors:  Sally L Baxter; Jeremy S Bass; Amy M Sitapati
Journal:  ACI open       Date:  2020-07

5.  Clinical Implementation of Predictive Models Embedded within Electronic Health Record Systems: A Systematic Review.

Authors:  Terrence C Lee; Neil U Shah; Alyssa Haack; Sally L Baxter
Journal:  Informatics (MDPI)       Date:  2020-07-25

6.  Implementation of prediction models in the emergency department from an implementation science perspective-Determinants, outcomes and real-world impact: A scoping review protocol.

Authors:  Sze Ling Chan; Jin Wee Lee; Marcus Eng Hock Ong; Fahad Javaid Siddiqui; Nicholas Graves; Andrew Fu Wah Ho; Nan Liu
Journal:  PLoS One       Date:  2022-05-12       Impact factor: 3.240

7.  Overcoming barriers to the adoption and implementation of predictive modeling and machine learning in clinical care: what can we learn from US academic medical centers?

Authors:  Joshua Watson; Carolyn A Hutyra; Shayna M Clancy; Anisha Chandiramani; Armando Bedoya; Kumar Ilangovan; Nancy Nderitu; Eric G Poon
Journal:  JAMIA Open       Date:  2020-04-10

Review 8.  Developing a framework for evidence-based grading and assessment of predictive tools for clinical decision support.

Authors:  Mohamed Khalifa; Farah Magrabi; Blanca Gallego
Journal:  BMC Med Inform Decis Mak       Date:  2019-10-29       Impact factor: 2.796

9.  Development and validation of a predictive model for American Society of Anesthesiologists Physical Status.

Authors:  Seshadri C Mudumbai; Suzann Pershing; Thomas Bowe; Robin N Kamal; Erika D Sears; Andrea K Finlay; Dan Eisenberg; Mary T Hawn; Yingjie Weng; Amber W Trickey; Edward R Mariano; Alex H S Harris
Journal:  BMC Health Serv Res       Date:  2019-11-21       Impact factor: 2.655
  9 in total

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