Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Guidelines and Strategies for Safe Computer Charting01:18

Guidelines and Strategies for Safe Computer Charting

3.1K
The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:
3.1K
Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

1.5K
Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
1.5K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

3.6K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
3.6K
Data Reporting and Recording01:24

Data Reporting and Recording

5.6K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.6K
Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

1.5K
Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...
1.5K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

1.0K
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
1.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Gut-derived uremic toxin indoxyl sulfate and aryl hydrocarbon receptor in renal osteodystrophy.

Biochimie·2026
Same author

KDOQI US Commentary on the KDIGO 2026 Clinical Practice Guideline for the Management of Anemia in CKD.

American journal of kidney diseases : the official journal of the National Kidney Foundation·2026
Same author

Protocol for assessing urban-rural environmental stress disparities in ADRD through ecological momentary assessment (AURESIA).

Alzheimer's & dementia. Behavior & socioeconomics of aging·2026
Same author

Governing real-world health data as a public utility.

Science (New York, N.Y.)·2026
Same author

Maternal and Pediatric Precision in Therapeutic Knowledge Portal (MPRINT-KP): Landscape Analysis of Pharmacology Research in Maternal and Pediatric Patient Populations.

Pharmacotherapy·2026
Same author

VO 2 Peak: The Emerging End Point For Cardiovascular Outcome Trials in Nephrology.

Kidney360·2025
Same journal

Comparison of Resistive Index and Volume Flow in Ultrasound of Arteriovenous Fistula for Dialysis Access.

Hemodialysis international. International Symposium on Home Hemodialysis·2026
Same journal

The Effect of Virtual Museum Visit on Dialysis Symptoms and Anxiety in Hemodialysis Patients: A Randomized Controlled Trial.

Hemodialysis international. International Symposium on Home Hemodialysis·2026
Same journal

Nonlinear Association Between Serum Uric Acid Levels and Mortality in Maintenance Hemodialysis Patients: A Retrospective Study From the Beijing Hemodialysis Quality Control and Improvement Center.

Hemodialysis international. International Symposium on Home Hemodialysis·2026
Same journal

Shared Hemodialysis Care Practice Patterns and Their Association With Shared Decision-Making in the United Kingdom.

Hemodialysis international. International Symposium on Home Hemodialysis·2026
Same journal

Physiological and Clinical Implications of Timing of Hemoglobin Measurement in Hemodialysis.

Hemodialysis international. International Symposium on Home Hemodialysis·2026
Same journal

Safety and Efficacy of Iron Chelators in Patients With Chronic Kidney Disease: A Systematic Review and Meta-Analysis.

Hemodialysis international. International Symposium on Home Hemodialysis·2026
See all related articles

Related Experiment Video

Updated: Mar 18, 2026

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

4.7K

A comparison between physicians and computer algorithms for form CMS-2728 data reporting.

Mohammed Said Malas1,2, Jay Wish1, Ranjani Moorthi1

  • 1Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.

Hemodialysis International. International Symposium on Home Hemodialysis
|June 30, 2016
PubMed
Summary
This summary is machine-generated.

Computer algorithms identified more comorbidities than physicians on the CMS-2728 form, providing a better reflection of disease burden and altering mortality ratios. This suggests improved quality reporting for end-stage renal disease (ESRD) patients.

Keywords:
CMS-2728Dialysiscomorbiditiesinformaticsmortality

More Related Videos

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.4K
Improving IV Insulin Administration in a Community Hospital
12:08

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

19.5K

Related Experiment Videos

Last Updated: Mar 18, 2026

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

4.7K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.4K
Improving IV Insulin Administration in a Community Hospital
12:08

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

19.5K

Area of Science:

  • Nephrology
  • Medical Informatics
  • Health Services Research

Background:

  • The CMS-2728 form (Medical Evidence Report) assesses comorbidities linked to poor outcomes in end-stage renal disease (ESRD) patients.
  • Previous research has raised concerns regarding the accuracy of physician-reported comorbidities on the CMS-2728 form.
  • An enhanced method for comorbidity assessment could improve the evaluation of disease burden and patient outcomes.

Purpose of the Study:

  • To compare the effectiveness of computer algorithms versus physician completion in identifying comorbidities on the CMS-2728 form.
  • To determine if algorithmic comorbidity identification better reflects the underlying disease burden in ESRD patients.
  • To assess the impact of algorithmic identification on standardized mortality ratios.

Main Methods:

  • Data from 296 incident ESRD patients undergoing chronic dialysis were collected from CMS-2728 forms and electronic medical records (EMR).
  • Computer algorithms and natural language processing extracted comorbidity data from EMR for up to 10 years prior to ESRD diagnosis.
  • Comorbidities identified by algorithms were compared to those reported on physician-completed CMS-2728 forms.

Main Results:

  • Computer algorithms demonstrated significantly higher reporting of comorbidities compared to physician completion of the CMS-2728 form.
  • This finding persisted even when data spans were reduced or limited to a single health center source.
  • Algorithmic comorbidity identification led to increased expected deaths and decreased standardized mortality ratios, validated by a physician panel.

Conclusions:

  • Computer algorithms provide a superior method for identifying comorbidities for the CMS-2728 form, offering a more accurate reflection of disease burden.
  • The use of algorithms altered standardized mortality ratios, suggesting a more precise risk assessment.
  • Implementing similar algorithms within EMR systems could enhance comorbidity evaluation and improve healthcare quality reporting for ESRD patients.