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Research Studies is a compilation of published research articles funded by 大象视频or authored by 大象视频researchers.

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1 to 8 of 8 Research Studies Displayed
Plombon S, Rudin RS, Rodriguez J
Real-time symptom monitoring using electronic patient-reported outcomes: a prospective study protocol to improve safety during care transitions for patients with multiple chronic conditions.
The authors developed and validated a prediction model of postdischarge adverse events using validated symptoms, patient-reported outcomes, and electronic health record data. This intervention may enable timely detection of harm for patients with multiple chronic conditions during transitions from hospitals to ambulatory settings. A randomized controlled trial will be conducted to compare the effect of this intervention versus usual care.
AHRQ-funded; HS028662.
Citation: Plombon S, Rudin RS, Rodriguez J . Real-time symptom monitoring using electronic patient-reported outcomes: a prospective study protocol to improve safety during care transitions for patients with multiple chronic conditions. J Hosp Med 2025 May; 20(5):534-43. doi: 10.1002/jhm.70013.
Keywords: Chronic Conditions, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT), Transitions of Care
Parikh NR, Francisco LS, Balikai SC
Development and evaluation of I-PASS-to-PICU: a standard electronic template to improve referral communication for interfacility transfers to the pediatric ICU.
The objective of this study was to develop and evaluate a standard electronic referral template (I-PASS-to-PICU) to improve communication for interfacility pediatric ICU (PICU) transfers. I-PASS-to-PICU was developed in a single PICU, designed with an electronic health record-supported clinical note template by adapting elements from an evidence-based handoff program, to support information exchange between referring clinicians and receiving PICU physicians. Usability testing with receiving PICU physicians using simulated and actual calls revealed good usability on the System Usability Scale. The authors planned further evaluation of the template鈥檚 effectiveness in improving information exchange during real-time PICU practice.
AHRQ-funded; HS026965.
Citation: Parikh NR, Francisco LS, Balikai SC . Development and evaluation of I-PASS-to-PICU: a standard electronic template to improve referral communication for interfacility transfers to the pediatric ICU. Jt Comm J Qual Patient Saf 2024 May; 50(5):338-47. doi: 10.1016/j.jcjq.2024.01.010..
Keywords: Children/Adolescents, Transitions of Care, Intensive Care Unit (ICU), Electronic Health Records (EHRs), Health Information Technology (HIT), Communication, Critical Care
Sparling JL, France D, Abraham J
Handoff Effectiveness Research in periOperative environments (HERO) Design Studio: a conference report.
This conference report reviewed the historical background which led to the Handoff Effectiveness Research in periOperative environments (HERO) Design Studio. The objectives of the HERO Design Studio were to examine the existing literature base, create a national research agenda, and build the research infrastructure necessary to address critical evidence gaps in perioperative handoff quality and safety. The authors described how they prepared for the research conference and synthesized the conference鈥檚 results. They also recommended future directions regarding perioperative handoff improvement.
AHRQ-funded; HS027769.
Citation: Sparling JL, France D, Abraham J . Handoff Effectiveness Research in periOperative environments (HERO) Design Studio: a conference report. Jt Comm J Qual Patient Saf 2023 Aug; 49(8):422-30. doi: 10.1016/j.jcjq.2023.02.004..
Keywords: Health Information Technology (HIT), Workflow, Transitions of Care, Electronic Health Records (EHRs), Evidence-Based Practice
Sparling JL, Hong Mershon B, Abraham J
Perioperative handoff enhancement opportunities through technology and artificial intelligence: a narrative review.
This narrative review synthesized prior research on electronic tools for perioperative handoffs, limitations of current tools and barriers to their implementation, and use of AI and machine learning in perioperative care. Results showed that several efforts have incorporated electronic tools to improve perioperative handoffs, but were limited by imprecision in selecting handoff elements. AI and machine learning use and integration into handoff workflows were not yet being studied. Existing technology such as mobile applications, barcode scanners, and radio-frequency identification tags to advance perioperative safety were similarly not applied to handoffs.
AHRQ-funded; HS027769.
Citation: Sparling JL, Hong Mershon B, Abraham J . Perioperative handoff enhancement opportunities through technology and artificial intelligence: a narrative review. Jt Comm J Qual Patient Saf 2023 Aug; 49(8):410-21. doi: 10.1016/j.jcjq.2023.03.009..
Keywords: Health Information Technology (HIT), Workflow, Transitions of Care, Electronic Health Records (EHRs), Evidence-Based Practice
Saleh SN, Makam AN, Halm EA,
Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model?
Despite focus on preventing 30-day readmissions, early readmissions (within 7鈥塪ays of discharge) may be more preventable than later readmissions (8-30鈥塪ays). In this study, the investigators assessed how well a previously validated 30-day EHR-based readmission model predicted 7-day readmissions and compared differences in strength of predictors. They suggested that improvements in predicting early 7-day readmissions will likely require new risk factors proximal to day of discharge.
AHRQ-funded; HS022418.
Citation: Saleh SN, Makam AN, Halm EA, . Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model? BMC Med Inform Decis Mak 2020 Sep 15;20(1):227. doi: 10.1186/s12911-020-01248-1..
Keywords: Hospital Readmissions, Hospitals, Risk, Transitions of Care, Electronic Health Records (EHRs), Health Information Technology (HIT)
Sockolow PS, Bowles KH, Wojciechowicz C
Incorporating home healthcare nurses' admission information needs to inform data standards.
Patient transitions into home health care (HHC) often occur without the transfer of information needed for critical clinical decisions and the plan of care. Owing to a lack of universally implemented standards, there is wide variation in information transfer. In this study, the investigators sought to characterize missing information at HHC admission. They conducted a mixed methods study with 3 diverse HHC agencies.
AHRQ-funded; HS024537.
Citation: Sockolow PS, Bowles KH, Wojciechowicz C . Incorporating home healthcare nurses' admission information needs to inform data standards. J Am Med Inform Assoc 2020 Aug;27(8):1278-86. doi: 10.1093/jamia/ocaa087..
Keywords: Home Healthcare, Transitions of Care, Electronic Health Records (EHRs), Health Information Technology (HIT)
Yao Y, Ahn H, Stifter J
Continuity index measures in the acute care hospital setting: an analytic review and tests using electronic health record data and computer simulation.
This study examined continuity index measures in the acute care hospital setting. These measures can be used to examine the influence of nurse staffing patterns on patient outcomes. The researchers examined the behavior of continuity indexes as applied to clinical practice data that were collected with the Hands-On Automated Nursing Data System (HANDS) and data from computer simulation. The findings provided a deep understanding of the conceptual foundations and properties of various continuity measures.
AHRQ-funded; HS015054; HS023072.
Citation: Yao Y, Ahn H, Stifter J . Continuity index measures in the acute care hospital setting: an analytic review and tests using electronic health record data and computer simulation. J Nurs Meas 2018 Apr 1;26(1):20-35. doi: 10.1891/1061-3749.26.1.20..
Keywords: Transitions of Care, Care Coordination, Electronic Health Records (EHRs), Health Information Technology (HIT), Provider: Nurse, Provider, Hospitals, Outcomes
Acher AW, LeCaire TJ, Hundt AS
Using human factors and systems engineering to evaluate readmission after complex surgery.
The study objective was to use a human factors and systems engineering approach to understand contributors to surgical readmissions from a patient and provider perspective. Patients and clinician providers identified a number of factors during the transition of care that may have contributed to readmission, including poor patient and caregiver understanding; inadequate discharge preparation for home care; insufficient educational process and materials.
AHRQ-funded; HS022446.
Citation: Acher AW, LeCaire TJ, Hundt AS . Using human factors and systems engineering to evaluate readmission after complex surgery. J Am Coll Surg 2015 Oct;221(4):810-20. doi: 10.1016/j.jamcollsurg.2015.06.014..
Keywords: Surgery, Hospital Readmissions, Hospital Discharge, Transitions of Care, Electronic Health Records (EHRs)

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