Electronic Medical Records

Diamond, Edward J.; French, Kim D.; Gronkiewicz, Cynthia; Borkgren, Marilyn W.

doi:10.1378/chest.09-1328

Cited by 9 publications

(3 citation statements)

References 3 publications

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“…A number of pointed questions are outlined for advice ( Fig 5 ). Diamond et al 44 also provide a nice scorecard to compare vendors. They set up a method of comparing vendors and looking at support, hardware, software, workflows, and reporting with specific criteria outlined.…”

Section: Discussionmentioning

confidence: 99%

“…They set up a method of comparing vendors and looking at support, hardware, software, workflows, and reporting with specific criteria outlined. 44 Maust 35 discusses the necessary training and outlines specific questions to ask vendors. Without proper purchase and training, documentation would remain insufficient, regardless of the investment.…”

Section: Discussionmentioning

confidence: 99%

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A Literature Review of Electronic Health Records in Chiropractic Practice: Common Challenges and Solutions

Taylor

2017

Journal of Chiropractic Humanities

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ObjectiveThe purpose of this study was to review the literature on current challenges and propose solutions for the optimal utilization of the electronic health records (EHRs) in chiropractic practice.MethodsA search was performed in the PubMed, Index of Chiropractic Literature, and Current Index to Nursing and Allied Health Literature databases from November 2005 to February 2015. A combination of the following key words was used: electronic health records, electronic medical records, implementation, documentation, benefits, and challenges. Articles were categorized into common problems and solutions. These were filtered by application to chiropractic or educational institutions.ResultsThe search resulted in 45 papers, which included case reports of EHR implementation, governmental insurance reports, commentaries, controlled studies, narrative reviews of past experiences with conversion from paper systems, and the implementation of EHRs in small offices and chiropractic offices. Minimal literature was found that directly related to chiropractic EHRs. Improper utilization, incorrect use of the software, faulty implementation, workflow burdens, financial considerations, and insufficient training were found to negatively affect the quality of the record.ConclusionsDocumentation errors are often innate in the EHR software. Improper utilization, insufficient training, or difficulty in integration of the EHR into the clinical office setting results in poor implementation of the electronic version of the clinical record. Solutions that may decrease documentation errors include EHR training, continued financial incentives, and appropriate implementation process and utilization of available software features.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A Literature Review of Electronic Health Records in Chiropractic Practice: Common Challenges and Solutions

Taylor

2017

Journal of Chiropractic Humanities

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“…In large part, this is because at KP (and with most current EHRs), data such as FEV 1 or 6MWT distance are currently entered as text, rather than structured fields, making them difficult or impossible to cull electronically. 47,48 Therefore, as much as providing impetus for including disease-specific measures in risk adjustment, this research also should provide motivation for health delivery organizations and EHR vendors to facilitate entering these critical data into EHRs in standardized formats.…”

Section: Discussionmentioning

confidence: 99%

Risk Adjustment for Health Care Financing in Chronic Disease

et al. 2013

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BACKGROUND Adjustment for differing risks among patients is usually incorporated into newer payment approaches, and current risk models rely on age, gender, and diagnosis codes. It is unknown the extent to which controlling additionally for disease severity improves cost prediction. Failure to adjust for within-disease variation may create incentives to avoid sicker patients. We address this issue among patients with chronic obstructive pulmonary disease (COPD). METHODS Cost and clinical data were collected prospectively from 1,202 COPD patients at Kaiser Permanente. Baseline analysis included age, gender, and diagnosis codes (using the Diagnostic Cost Group Relative Risk Score [RRS]) in a general linear model predicting total medical costs in the following year. We determined whether adding COPD severity measures—FEV1, 6 minute walk test, dyspnea score, body-mass index, and BODE Index (composite of the other four measures)—improved predictions. Separately, we examined household income as a cost predictor. RESULTS Mean costs were $12,334/year. Controlling for RRS, each ½ standard deviation worsening in COPD severity factor was associated with $629 to $1,135 in increased annual costs (all p<0.01). The lowest stratum of FEV1 (<30% normal) predicted $4,098 (95%CI $576–$8,773) additional costs. Household income predicted excess costs when added to the baseline model (p=0.038), but this became non-significant when also incorporating BODE Index. CONCLUSIONS Disease severity measures explain significant cost variations beyond current risk models, and adding them to such models appears important to fairly compensate organizations that accept responsibility for sicker COPD patients. Appropriately controlling for disease severity also accounts for costs otherwise associated with lower socioeconomic status.

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Pharmacy student engagement in the evaluation of medication documentation within an ambulatory care electronic medical record

Mead

Schauner

2017

Currents in Pharmacy Teaching and Learning

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Electronic Medical Records

Cited by 9 publications

References 3 publications

A Literature Review of Electronic Health Records in Chiropractic Practice: Common Challenges and Solutions

A Literature Review of Electronic Health Records in Chiropractic Practice: Common Challenges and Solutions

Risk Adjustment for Health Care Financing in Chronic Disease

Pharmacy student engagement in the evaluation of medication documentation within an ambulatory care electronic medical record

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