scholarly journals Data Mining via the Electronic Medical Record to Identify Inherited Colorectal Cancer in an HMO Patient Population

2015 ◽  
Vol 2 (2) ◽  
pp. 82
Author(s):  
Monica Alvarado ◽  
Hilary Kershberg ◽  
George Tiller ◽  
Patty Miller ◽  
Ivan Lizarraga ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Data Mining ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Patient Population

scholarly journals Diabetes Risk Data Mining Method Based on Electronic Medical Record Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yang Liu ◽  
Zhaoxiang Yu ◽  
Yunlong Yang
Keyword(s):  
Data Mining ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Diabetes Risk ◽  
Mining Method ◽  
Training Set ◽  
Medical Field ◽  
Data Mining Method

In today’s society, the development of information technology is very rapid, and the transmission and sharing of information has become a development trend. The results of data analysis and research are gradually applied to various fields of social development, structured analysis, and research. Data mining of electronic medical records in the medical field is gradually valued by researchers and has become a major work in the medical field. In the course of clinical treatment, electronic medical records are edited, including all personal health and treatment information. This paper mainly introduces the research of diabetes risk data mining method based on electronic medical record analysis and intends to provide some ideas and directions for the research of diabetes risk data mining method. This paper proposes a research strategy of diabetes risk data mining method based on electronic medical record analysis, including data mining and classification rule mining based on electronic medical record analysis, which are used in the research experiment of diabetes risk data mining method based on electronic medical record analysis. The experimental results in this paper show that the average prediction accuracy of the decision tree is 91.21%, and the results of the training set and the test set are similar, indicating that there is no overfitting of the training set.

Natural Language Processing Improves Identification of Colorectal Cancer Testing in the Electronic Medical Record

2011 ◽  
Vol 32 (1) ◽  
pp. 188-197 ◽  
Author(s):  
Joshua C. Denny ◽  
Neesha N. Choma ◽  
Josh F. Peterson ◽  
Randolph A. Miller ◽  
Lisa Bastarache ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Natural Language Processing ◽  
Natural Language ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Language Processing

scholarly journals Association of baseline absolute neutrophil counts and survival in patients with metastatic colorectal cancer treated with second-line antiangiogenic therapies: exploratory analyses of the RAISE trial and validation in an electronic medical record data set

ESMO Open ◽  
2018 ◽  
Vol 3 (3) ◽  
pp. e000347 ◽  
Author(s):  
Axel Grothey ◽  
Takayuki Yoshino ◽  
Gyorgy Bodoky ◽  
Tudor Ciuleanu ◽  
Rocio Garcia-Carbonero ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Metastatic Colorectal Cancer ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Real World Data ◽  
Data Set ◽  
High Baseline ◽  
Registration Number ◽  
Chemotherapy Dose ◽  
Dose Modifications

BackgroundIn the RAISE trial, ramucirumab+leucovorin/fluorouracil/irinotecan (FOLFIRI) improved the median overall survival (mOS) of patients with previously treated metastatic colorectal cancer versus patients treated with placebo+FOLFIRI but had a higher incidence of neutropaenia, leading to more chemotherapy dose modifications and discontinuations. Thus, we conducted an exploratory post-hoc analysis of RAISE and a retrospective, observational analysis of electronic medical record (EMR) data to determine and verify the association of neutropaenia, baseline absolute neutrophil count (ANC) and survival.MethodsThe RAISE analysis used the study safety population (n=1057). IMS Health Oncology Database (IMS EMR) was the source for the real-world data set (n=617).ResultsRAISE patients with treatment-emergent neutropaenia had improved mOS compared with those without (ramucirumab arm: 16.1 vs 10.7 months, HR=0.57, p<0.0001; placebo arm: 12.7 vs 10.7 months, HR=0.76, p=0.0065). RAISE patients with low ANC versus high baseline ANC also had longer mOS (ramucirumab arm: 15.2 vs 8.9 months, HR=0.49, p<0.0001; placebo arm: 13.2 vs 7.3 months, HR=0.50, p<0.0001). The results were similar for IMS EMR low versus high baseline ANC (bevacizumab+FOLFIRI patients: 14.9 vs 7.7 months, HR=0.59, p<0.0001; FOLFIRI alone: 14.6 vs 5.4 months, HR=0.37, p<0.0001). Patients in the RAISE trial with low baseline ANC were more likely to develop neutropaenia (OR: ramucirumab arm=2.62, p<0.0001; placebo arm=2.16, p=0.0003).ConclusionNeutropaenia during treatment, and subsequent dose modifications or discontinuations, do not compromise treatment efficacy. Baseline ANC is a strong prognostic factor for survival and is associated with treatment-emergent neutropaenia in the analysed population.Trial registration numberNCT01183780, Results.

scholarly journals Direct Data Mining from the Electronic Medical Record to Assess and Improve Compliance With Infection Prevention Bundles

2020 ◽  
Vol 41 (S1) ◽  
pp. s32-s33
Author(s):  
Janet Conner ◽  
Joan Ivaska
Keyword(s):  
Data Mining ◽  
Real Time ◽  
Medical Record ◽  
Electronic Medical Record ◽  
System Level ◽  
Individual Element ◽  
Frontline Staff ◽  
Direct Data ◽  
Bundle Compliance ◽  
Healthcare Associated

Background: Bundles have been proven to reduce the risk of healthcare-associated infections and to provide for rapid recognition and response for the best outcome in patients with sepsis. Each element alone does not provide the statistical significance that all elements together allow. Providing near real-time compliance with bundle measures to clinical staff can drive performance improvement with the bundle during the patient’s hospital stay, resulting in improved clinical care and prevention of infection. Methods: In 2019, 3 clinical initiatives were chartered that applied evidence-based bundles for early identification and treatment of sepsis, prevention of healthcare-associated pneumonia (HAP), and prevention of surgical site infection. The bundle included the following elements: assessment of sepsis, measurement of lactic acid, collection of blood culture, timely administration of antibiotics. The HAP bundle included the following elements: assessment of aspiration risk, elevation of the head of the bed, oral care twice daily and preoperatively, and incentive spirometry postoperatively. And the SSI bundle included the following elements: preoperative CHG bath, appropriate preoperative antibiotic, perioperative glucose control, and perioperative temperature control. A multidisciplinary team developed and implemented dashboards that extracted bundle elements from the electronic medical record (EMR) nightly. Bundle compliance was calculated at the individual element level as well as the aggregate. Bundle failure data were available at the patient level as well as in aggregate by care location and provider, allowing for real-time feedback to staff and creation of improvement plans. An unanticipated benefit was the identification and correction of charting inconsistencies. Results: Collection, aggregation, and analysis of bundle compliance data were displayed in a system dashboard, and data were refreshed nightly. This approach allowed us to display overall bundle compliance at the facility and system level, including a heat map showing each facility’s compliance with the bundle and each associated element. Utilization of an EMR dashboard allowed for performance review on 100% of eligible patients rather than a sample, as occurs with manual review and abstraction processes. Routine review of performance via the dashboards with frontline staff, clinical leaders, medical staff, and executives has resulted in month-by- month improvement in bundle compliance. Conclusions: Direct data mining, data aggregation and analysis, followed by direct feedback to frontline staff, has resulted in steady improvement in overall bundle compliance, compliance with individual bundle components, and standardization of charting in the EMR. This approach has ultimately resulted in better outcomes for sepsis patients, reduction in healthcare-associated pneumonia, and reduction in surgical site infections.Funding: NoneDisclosures: None

Avoiding late-stage colorectal cancer: The outpatient safety net.

2013 ◽  
Vol 31 (31_suppl) ◽  
pp. 177-177
Author(s):  
Joanne E. Schottinger ◽  
Michael H. Kanter ◽  
Andrea Smith
Keyword(s):  
Colorectal Cancer ◽  
Iron Deficiency ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Iron Deficiency Anemia ◽  
Rectal Bleeding ◽  
Late Stage ◽  
Safety Net ◽  
Deficiency Anemia

177 Background: The Institute of Medicine report "To Err is Human" highlighted two vulnerabilities that introduce possible diagnostic errors — information overload and failure to follow up abnormal cases. The Southern California Permanente Regional Safety Net program was instituted to identify, using electonic medical records, instances where these inadvertent outpatient safety lapses may have occurred and intervene before patient harm develops. A centralized regional team catches the omission and intervenes to ensure necessary follow up care, early diagnosis, treatment monitoring, or preventing harmful interactions from medications. Methods: For colorectal cancer detection and prevention, a safety net system was already in place to ensure the prompt evaluation of a positive fecal occult blood screening test with colonoscopy. However, evaluation of late stages of colorectal cancer at presentation revealed that failure to diagnose/follow up signs of iron deficiency anemia or rectal bleeding (often attributed to hemorrhoids) were opportunities to intervene. The electronic medical record is mined for evidence of iron deficiency anemia in laboratory results or a diagnosis of rectal bleeding that was not followed by a colonoscopy in patients aged 50-75. A list of these patients is reviewed quarterly by a gastroenterologist, who contacts the primary care physician to arrange colonoscopy. Results: During the first six months of the program, 42 patients, aged 52-75, underwent colonoscopy for evaluation of either evidence of iron deficiency anemia or rectal bleeding. Polypectomies were performed in 17 patients (40%) with pathology revealing adenomas in 13 patients and one patient with a bleeding carcinoid tumor. Other findings included hyperplastic polyps, hemorrhoids, diverticular disease, colitis, ulcer, and angiodysplastic lesions. Conclusions: Using an electronic medical record system, an outpatient safety net function allows proactive identification of possible safety issues in the population, helping to avoid late stage diagnoses and adverse outcomes. This system currently encompasses other cancer screening tests, medication monitoring, avoiding harmful medication interactions, and immunizations.

Comparison of Colorectal Cancer (CRC) Screening Rates Obtained by Electronic Medical Record (EMR) Query versus Patient-Directed Survey in Primary Care Practice

2018 ◽  
Vol 113 (Supplement) ◽  
pp. S137-S138 ◽  
Author(s):  
Brian McAllister ◽  
Thomas McGarrity ◽  
Christopher T. Soriano ◽  
Jennifer Cooper ◽  
Vonn Walter ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Primary Care ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Primary Care Practice ◽  
Care Practice ◽  
Crc Screening
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