dynamic electronic order panel, an effective automated intervention to reduce inappropriate inpatient ordering.

Background: Ordering Clostridioides difficile diagnostics without appropriate clinical indications can result in inappropriate antibiotic prescribing and misdiagnosis of hospital onset infection. Manual processes such as provider review of order appropriateness may detract from other infection control or antibiotic stewardship activities.

Methods: We developed an evidence-based clinical algorithm that defined appropriateness criteria for testing for infection.

Translating an evidence-based clinical pathway into shareable CDS: developing a systematic process using publicly available tools.

Objective: To develop a process for translating semi-structured clinical decision support (CDS) into shareable, computer-readable CDS.

Materials And Methods: We developed a systematic and transparent process using publicly available tools (eGLIA, GEM Cutter, VSAC, and the CDS Authoring Tool) to translate an evidence-based clinical pathway (CP) into a Clinical Quality Language (CQL)-encoded CDS artifact.

Results: We produced a 4-phase process for translating a CP into a CQL-based CDS artifact.

AHRQ EPC Series on Improving Translation of Evidence: Use of a Clinical Pathway for C. Difficile Treatment to Facilitate the Translation of Research Findings into Practice.

Background: In 2018 the Agency for Healthcare Research and Quality (AHRQ) Evidence-based Practice Center (EPC) Program issued a call for strategies to disseminate AHRQ EPC systematic reviews. In this pilot, findings from the 2016 AHRQ EPC report on Clostridioides difficile infection were translated into a treatment pathway and disseminated via a cloud-based platform and electronic health record (EHR).

Methods: An existing 10-step framework was used for developing and disseminating evidence-based clinical pathways.

Next Steps in Improving Healthcare Value: AHRQ Evidence-based Practice Center Program-Applying the Knowledge to Practice to Data Cycle to Strengthen the Value of Patient Care.

For more than 20 years, the Agency for Healthcare Research and Quality (AHRQ) Evidence-based Practice Center (EPC) Program has been identifying and synthesizing evidence to inform evidence-based healthcare. Recognizing that many healthcare settings continue to face challenges in disseminating and implementing evidence into practice, AHRQ's EPC program has also embarked on initiatives to facilitate the translation of evidence into practice and to measure and monitor how practice changes impact health outcomes. The program has structured its efforts around the three phases of the Learning Healthcare System cycle: knowledge, practice, and data.

Using a 10-step framework to support the implementation of an evidence-based clinical pathways programme.

Background: Integration of evidence into practice is suboptimal. Clinical pathways, defined as multidisciplinary care plans, are a method for translating evidence into local settings and have been shown to improve the value of patient care.

Objective: To describe the development of a clinical pathways programme across a large academic healthcare system.

Nurse Generated EHR Data Supports Post-Acute Care Referral Decision Making: Development and Validation of a Two-step Algorithm.

Build and validate a clinical decision support (CDS) algorithm for discharge decisions regarding referral for post-acute care (PAC) and to what site of care. Case studies derived from EHR data were judged by 171 interdisciplinary experts and prediction models were generated. A two-step algorithm emerged with area under the curve (AUC) in validation of 91.

Why older adults may decline offers of post-acute care services: A qualitative descriptive study.

The most common post-acute care (PAC) services available to patients after hospital discharge include home care, skilled nursing facilities, nursing homes, inpatient rehabilitation, and hospice. Patients who need PAC and receive services have better outcomes, however almost one-third of those offered services decline. Little research exists on PAC decision-making and why patients may decline services.

Patient Preferences for Information on Post-Acute Care Services.

The purpose of the current study was to explore what hospitalized patients would like to know about post-acute care (PAC) services to ultimately help them make an informed decision when offered PAC options. Thirty hospitalized adults 55 and older in a Northeastern U.S.