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Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Current Trends in Nursing II01:30

Current Trends in Nursing II

Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

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 illness...
Specialized Care Centers and Settings-II01:30

Specialized Care Centers and Settings-II

Rural Health Centers
Rural health centers are specialized care facilities in remote locations with very few medical personnel. The primary care providers who run the centers are mostly Registered Nurse Practitioners. Here, emergency treatment is provided to critically ill or injured patients before they are transferred to the closest hospital. Fortunately, due to advancement in technology, many rural healthcare facilities and professionals have easy access to diagnostic and treatment...
Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is limited...

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Related Experiment Videos

Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties.

Aysenur Betul Cengil1, Burak Eksioglu1,2, Sandra Duni Eksioglu1

  • 1Department of Industrial Engineering, University of Arkansas, Fayetteville, AR, United States.

JMIR Medical Informatics
|May 7, 2026
PubMed
Summary

Telehealth adoption increased significantly post-pandemic, improving healthcare access and efficiency. However, disparities in use and impact across specialties and regions necessitate targeted strategies for equitable integration.

Keywords:
COVID-19 pandemicclusteringdeep neural networksmachine learningresource usetelehealth

Related Experiment Videos

Area of Science:

  • Healthcare Management
  • Health Informatics
  • Digital Health

Background:

  • The COVID-19 pandemic accelerated telehealth adoption in the US, promising improved access and efficiency.
  • Disparities in telehealth adoption exist based on demographics, geography, and socioeconomic status, impacting equitable access.

Purpose of the Study:

  • To evaluate telehealth's impact on healthcare resource utilization across four specialties.
  • To analyze patient-to-provider ratios and appointment durations as key metrics for telehealth efficiency.
  • To identify factors influencing telehealth adoption and efficiency, including patient and facility characteristics.

Main Methods:

  • Analysis of a deidentified national dataset (Epic Cosmos) from 2018-2023, covering outpatient visits.
  • Application of machine learning models (extreme gradient boosting, random forest, deep neural networks) to predict resource use.
  • Utilized Shapley Additive Explanations for feature importance and k-means clustering for facility grouping.

Main Results:

  • Telehealth adoption surged post-2020, with psychiatry showing the highest adoption rate (36.9%).
  • Telehealth visits were shorter on average (12.24 minutes reduction), but patient-to-provider ratios varied significantly.
  • Extreme gradient boosting models accurately predicted resource use; key predictors included visit type, telehealth use, facility size, rurality, and social vulnerability.

Conclusions:

  • Telehealth is a sustainable healthcare component, enhancing access in both rural and urban settings.
  • Varying impacts across specialties and regions necessitate tailored strategies for equitable integration.
  • Machine learning and clustering analyses provide insights for optimizing telehealth resource use and ensuring equitable access.