Lost in the Shuffle? Documentation of End-of-Life Care Decisions

Description

The study's objective is to identify the locations of ACP documentation in EpicCare EHR and to determine which patient and primary care provider characteristics are associated with having a scanned ACP document. A scanned document is the only documentation containing signatures (unsigned documents are not legally valid).

Conclusion

Only 33.5% of patients with ACP documentation somewhere in the EHR had an scanned document. Standardizing the location of these documents should become a priority to improve care. Actions are needed to eliminate disparities.

Funder

Metta Fund, Sutter Health Institute for Research and Education

Research Topics

Related Studies

The Impact of Smoking, Comorbidities, and Race/Ethnicity on COVID-19 Infection and Disease Severity

Using EHR from a large healthcare system in Northern CA, we will study the impact of smoking, comorbidities, race on COVID-19 infection and disease severity.

Investigator: Jiang Li, Ph.D., MPH

COVID-19 Universal Registry for Vital Evaluations (CURVE) Project

To create a COVID-19 Universal Registry for Vital Evaluations (CURVE) database, a semi-real-time registry of Sutter Health patients with COVID-19 infection.

Investigator: Jiang Li, Ph.D., MPH

Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in Minority Subgroups (SURPASS) Study

Overall goal of this study is to address gaps in knowledge about CVD prediction and treatment in understudied racial/ethnic minority populations.

Investigators: External PI, Principal Investigator, Jiang Li, Ph.D., MPH

Pilot Project in Applied Artificial Intelligence: Using Machine Learning to Improve the Safety of Hospital Care

Develop and test predictive model identifying emerging sepsis using artificial intelligence, and translate learnings into improved operational criteria.

Investigator: Sylvia Sudat, PhD

Quantifying 2D and 3D MRI Imaging For Improving MS Diagnosis, Treatment, And Clinical Care

Create a longitudinal proof-of-concept MS research database (MSClinQ) that can support clinical queries, and can be updated with new tx, dx tools, care options

Investigators: Xiaowei (Sherry) Yan, PhD, MS, J.B. Jones, PhD, MBA

Improving Cancer Care

Project will provide information about referrals to palliative care and way to enhance goals of care discussions for patients diagnosed with stage IV cancer.

Investigator: Su-Ying Liang, Ph.D.

Using Mobile Technology and Analytics to Track Outcomes in MS Patients

Develop an app to collect and transform pt-reported outcomes in MS for health care providers to improve care and support shared decision making.

Investigators: Xiaowei (Sherry) Yan, PhD, MS, J.B. Jones, PhD, MBA

Randomized study of EHR Defaults and Using social Comparison feedback to effectively decrease opioid prescription pill burden (REDUCE).

Randomized trial to explore two behavioral economic intervention--changing opioid Rx default and providing social comparison feedback to MDs on opioid pills Rx.

Investigator: Xiaowei (Sherry) Yan, PhD, MS

Major Depressive Disorder

Purpose is to use EHR to understand the management of major depressive disorder in a large healthcare system, to incorporate pt-reported data in care workflow.

Investigator: Kristen M.J. Azar, R.N., BSN, MSN/MPH

Interpretable Deep Learning Model for Longitudinal Electronic Health Record and Applications to Heart Failure Prediction

Develop advanced deep learning model to predict early onset heart failure using EHRs, including structured and unstructured data.

Investigators: Xiaowei (Sherry) Yan, PhD, MS, External PI, Principal Investigator

Patients and Visitors

My Health Online

Patient Resources

Billing and Insurance

Treatments and Services

Schedule a Visit

Get Care

Featured Services

Research and Education

Graduate Medical Education

Research

Education

About Us

Work at Sutter Health

About Sutter Health

Community