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Allscripts allscripts touchworks
EHR data sources, NLP methods, and machine learning performance, and outcomes
Allscripts Touchworks, supplied by Allscripts, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/allscripts touchworks/product/Allscripts
Average 90 stars, based on 1 article reviews
allscripts touchworks - by Bioz Stars, 2026-04
90/100 stars

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1) Product Images from "Natural language processing of electronic health records for early detection of cognitive decline: a systematic review"

Article Title: Natural language processing of electronic health records for early detection of cognitive decline: a systematic review

Journal: NPJ Digital Medicine

doi: 10.1038/s41746-025-01527-z

EHR data sources, NLP methods, and machine learning performance, and outcomes
Figure Legend Snippet: EHR data sources, NLP methods, and machine learning performance, and outcomes

Techniques Used: Biomarker Discovery, Extraction



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EHR data sources, NLP methods, and machine learning performance, and outcomes

Journal: NPJ Digital Medicine

Article Title: Natural language processing of electronic health records for early detection of cognitive decline: a systematic review

doi: 10.1038/s41746-025-01527-z

Figure Lengend Snippet: EHR data sources, NLP methods, and machine learning performance, and outcomes

Article Snippet: Oh et al. , Allscripts TouchWorks, 2013–2018 , Not specified , Rules-based: pattern matching , UMLS, custom , Precision 0.30–1.0 , N/A (rule-based), N/A , AUC N/A, Sens Not rep., Spec Not rep., F1 0.65–1.0 , ICD codes , AD , F00 and others.

Techniques: Biomarker Discovery, Extraction

EHRs and Access to Clinical Information in ACT Practices (n = 11)

Journal: Journal of the American Board of Family Medicine : JABFM

Article Title: Electronic Health Record Challenges, Workarounds, and Solutions Observed in Practices Integrating Behavioral Health and Primary Care

doi: 10.3122/jabfm.2015.S1.150133

Figure Lengend Snippet: EHRs and Access to Clinical Information in ACT Practices (n = 11)

Article Snippet: We directly observed and heard from clinicians and staff about their EHR-related experiences, and following, we describe the challenges, workarounds, and HIT solutions that emerged as these practices implemented their tailored integrated care approaches. table ft1 table-wrap mode="anchored" t5 Table 1. caption a7 Practice ID Federal Designation Ownership Geography EHR(s) Shared EHR Access to Clinical Information 7 None Clinician Suburban e-MDs V7.2 Yes Full 9 None Clinician Rural GE Centricity V9.5 Yes Full 10 None Clinician Suburban eClinical Works V10.0 Yes Full 13 None Clinician Urban Allscripts TouchWorks V11.4 Yes Full 14 None Hospital System Suburban Health Connect (EPIC) V Summer 09 Yes Partial 4 FQHC Private, not for profit Suburban eClinical Works V10.0 Yes Full 12 FQHC Hospital System Suburban NextGen V5.8 Yes Full 16 FQHC Hospital System Suburban Siemens EDM V24 Siemens LCR V2.2 Document management system and clinical database (not an EHR) Yes Full 17 CMHC Private, not for profit Rural Unicare Profiler V15 (BH) AdvancedMD (PC) No Restricted 18 CMHC Private, not for profit Urban Netsmart TIER (BH) GE Centricity (PC) No Restricted 19 CMHC Private, not for profit Rural Qualifacts Systems, Inc. Carelogic V5 (BH) Intergy (PC) No Full Open in a separate window Access to Clinical Information Abbreviations: Full, access to all parts of the record granted to primary care providers (PCPs) and behavioral health clinicians (BHCs); Partial, access to only relevant parts of the record granted to PCPs and BHCs; Restricted, restricted access to the record granted to PCPs and BHCs, such that needed clinical information was inaccessible at the point of care; BH, behavioral health; CMHC, community mental health center; EHR, electronic health record; FQHC, federally qualified health center; PC, primary care.

Techniques: