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Articles 31 - 44 of 44
Full-Text Articles in Health and Medical Administration
Assessment Of Disease Severity And Quality Of Life In Patients With Atopic Dermatitis From South Korea, Sang Wook Son, Ji Hyun Lee, Jiyoung Ahn, Sung Eun Chang, Eung Ho Choi, Tae Young Han, Yong Hyun Jang, Hye One Kim, Moon-Bum Kim, You Chan Kim, Hyun Chang Ko, Joo Yeon Ko, Sang Eun Lee, Yang Won Lee, Bark-Lynn Lew, Chan Ho Na, Chang Ook Park, Chun Wook Park, Kui Young Park, Kun Park, Young Lip Park, Joo Young Roh, Young-Joon Seo, Min Kyung Shin, Sujin Lee, Sang Hyun Cho
Assessment Of Disease Severity And Quality Of Life In Patients With Atopic Dermatitis From South Korea, Sang Wook Son, Ji Hyun Lee, Jiyoung Ahn, Sung Eun Chang, Eung Ho Choi, Tae Young Han, Yong Hyun Jang, Hye One Kim, Moon-Bum Kim, You Chan Kim, Hyun Chang Ko, Joo Yeon Ko, Sang Eun Lee, Yang Won Lee, Bark-Lynn Lew, Chan Ho Na, Chang Ook Park, Chun Wook Park, Kui Young Park, Kun Park, Young Lip Park, Joo Young Roh, Young-Joon Seo, Min Kyung Shin, Sujin Lee, Sang Hyun Cho
Faculty, Staff and Student Publications
BACKGROUND: Data illustrating the impact of atopic dermatitis (AD) on lives of adults with AD in South Korea are limited.
OBJECTIVE: To assess the AD disease severity and its impact on quality of life (QoL) in patients with AD from South Korea.
METHODS: Patients with AD utilizing the specialist dermatology services of major hospitals in South Korea were assessed for disease severity using Eczema Area and Severity Index (EASI) score, for QoL using Dermatology Life Quality Index (DLQI) (for QoL), and for comorbidities and treatment experience via retrospective review of 12-month medical records. Clinical and sociodemographic characteristics were also measured. …
Low Rates Of Structured Advance Care Planning Documentation In Electronic Health Records: Results Of A Single-Center Observational Study, Adela Wu, Robert J Huang, Gabriela Ruiz Colón, Chris Zembrzuski, Chirag B Patel
Low Rates Of Structured Advance Care Planning Documentation In Electronic Health Records: Results Of A Single-Center Observational Study, Adela Wu, Robert J Huang, Gabriela Ruiz Colón, Chris Zembrzuski, Chirag B Patel
Faculty, Staff and Student Publications
BACKGROUND: Proper advance care planning (ACP) documentation both improves patient care and is increasingly seen as a marker of high quality by governmental payers. The transition of most medical documentation to electronic health records (EHR) allows for ACP documents to be rapidly disseminated across diverse ambulatory practice settings. At the same time, the complexity and heterogeneity of the EHR, as well as the multiple potential storage locations for documentation, may lead to confusion and inaccessibility. There has been movement to promote structured ACP (S-ACP) documentation within the EHR.
METHODS: We performed a retrospective cohort study at a single, large university …
Elective Surgery System Strengthening: Development, Measurement, And Validation Of The Surgical Preparedness Index Across 1632 Hospitals In 119 Countries, Nihr Global Health Unit On Global Surgery, Covidsurg Collaborative
Elective Surgery System Strengthening: Development, Measurement, And Validation Of The Surgical Preparedness Index Across 1632 Hospitals In 119 Countries, Nihr Global Health Unit On Global Surgery, Covidsurg Collaborative
Faculty, Staff and Student Publications
BACKGROUND: The 2015 Lancet Commission on global surgery identified surgery and anaesthesia as indispensable parts of holistic health-care systems. However, COVID-19 exposed the fragility of planned surgical services around the world, which have also been neglected in pandemic recovery planning. This study aimed to develop and validate a novel index to support local elective surgical system strengthening and address growing backlogs.
METHODS: First, we performed an international consultation through a four-stage consensus process to develop a multidomain index for hospital-level assessment (surgical preparedness index; SPI). Second, we measured surgical preparedness across a global network of hospitals in high-income countries (HICs), …
Hospital Change To Mixed Lipid Emulsion From Soybean Oil-Based Lipid Emulsion For Parenteral Nutrition In Hospitalized And Critically Ill Adults Improves Outcomes: A Pre–Post-Comparative Study, Krista L Haines, Tetsu Ohnuma, Charles Trujillo, Obanor Osamudiamen, Vijay Krishnamoorthy, Karthik Raghunathan, Paul E Wischmeyer
Hospital Change To Mixed Lipid Emulsion From Soybean Oil-Based Lipid Emulsion For Parenteral Nutrition In Hospitalized And Critically Ill Adults Improves Outcomes: A Pre–Post-Comparative Study, Krista L Haines, Tetsu Ohnuma, Charles Trujillo, Obanor Osamudiamen, Vijay Krishnamoorthy, Karthik Raghunathan, Paul E Wischmeyer
Faculty, Staff and Student Publications
INTRODUCTION: Early data suggest use of a mixed lipid emulsion (LE) with a soybean oil reduction strategy in parenteral nutrition (PN) may improve clinical outcomes. Duke University Hospital made a full switch to a Soybean oil/MCT/Olive/Fish Oil lipid (4-OLE) from pure soybean oil-based LE (Intralipid, Baxter Inc) in May 2017. Since 4-OLE has limited evidence related to its effects on clinical outcome parameters in US hospitals, evidence for clinical benefits of switching to 4-OLE is needed. Therefore, we examined the clinical utility of a hospital-wide switch to 4-OLE and its effect on patient outcomes.
METHODS: We conducted a single-center retrospective …
Risk Of Transmission Of Respiratory Viruses During Aerosol-Generating Medical Procedures (Agmps) Revisited In The Covid-19 Pandemic: A Systematic Review, Jenine Leal, Brenlea Farkas, Liza Mastikhina, Jordyn Flanagan, Becky Skidmore, Charleen Salmon, Devika Dixit, Stephanie Smith, Stephen Tsekrekos, Bonita Lee, Joseph Vayalumkal, Jessica Dunn, Robyn Harrison, Melody Cordoviz, Roberta Dubois, Uma Chandran, Fiona Clement, Kathryn Bush, John Conly, Oscar Larios
Risk Of Transmission Of Respiratory Viruses During Aerosol-Generating Medical Procedures (Agmps) Revisited In The Covid-19 Pandemic: A Systematic Review, Jenine Leal, Brenlea Farkas, Liza Mastikhina, Jordyn Flanagan, Becky Skidmore, Charleen Salmon, Devika Dixit, Stephanie Smith, Stephen Tsekrekos, Bonita Lee, Joseph Vayalumkal, Jessica Dunn, Robyn Harrison, Melody Cordoviz, Roberta Dubois, Uma Chandran, Fiona Clement, Kathryn Bush, John Conly, Oscar Larios
Faculty, Staff and Student Publications
BACKGROUND: In many jurisdictions healthcare workers (HCWs) are using respirators for aerosol-generating medical procedures (AGMPs) performed on adult and pediatric populations with all suspect/confirmed viral respiratory infections (VRIs). This systematic review assessed the risk of VRIs to HCWs in the presence of AGMPs, the role respirators versus medical/surgical masks have on reducing that risk, and if the risk to HCWs during AGMPs differed when caring for adult or pediatric patient populations.
MAIN TEXT: We searched MEDLINE, EMBASE, Cochrane Central, Cochrane SR, CINAHL, COVID-19 specific resources, and MedRxiv for English and French articles from database inception to September 9, 2021. Independent …
Real-World Matching Performance Of Deidentified Record-Linking Tokens, Elmer V Bernstam, Reuben Joseph Applegate, Alvin Yu, Deepa Chaudhari, Tian Liu, Alex Coda, Jonah Leshin
Real-World Matching Performance Of Deidentified Record-Linking Tokens, Elmer V Bernstam, Reuben Joseph Applegate, Alvin Yu, Deepa Chaudhari, Tian Liu, Alex Coda, Jonah Leshin
Faculty, Staff and Student Publications
OBJECTIVE: Our objective was to evaluate tokens commonly used by clinical research consortia to aggregate clinical data across institutions.
METHODS: This study compares tokens alone and token-based matching algorithms against manual annotation for 20,002 record pairs extracted from the University of Texas Houston's clinical data warehouse (CDW) in terms of entity resolution.
RESULTS: The highest precision achieved was 99.9% with a token derived from the first name, last name, gender, and date-of-birth. The highest recall achieved was 95.5% with an algorithm involving tokens that reflected combinations of first name, last name, gender, date-of-birth, and social security number.
DISCUSSION: To protect …
Aligning The American Health Information Management Association Entry-Level Curricula Competencies And Career Map With Industry Job Postings: Cross-Sectional Study, Susan H Fenton, David T Marc, Angela Kennedy, Debra Hamada, Robert Hoyt, Karima Lalani, Connie Renda, Rebecca B Reynolds
Aligning The American Health Information Management Association Entry-Level Curricula Competencies And Career Map With Industry Job Postings: Cross-Sectional Study, Susan H Fenton, David T Marc, Angela Kennedy, Debra Hamada, Robert Hoyt, Karima Lalani, Connie Renda, Rebecca B Reynolds
Faculty, Staff and Student Publications
BACKGROUND: The field of health information management (HIM) focuses on the protection and management of health information from a variety of sources. The American Health Information Management Association (AHIMA) Council for Excellence in Education (CEE) determines the needed skills and competencies for this field. AHIMA's HIM curricula competencies are divided into several domains among the associate, undergraduate, and graduate levels. Moreover, AHIMA's career map displays career paths for HIM professionals. What is not known is whether these competencies and the career map align with industry demands.
OBJECTIVE: The primary aim of this study is to analyze HIM job postings on …
Assessment Of Electronic Health Record For Cancer Research And Patient Care Through A Scoping Review Of Cancer Natural Language Processing, Liwei Wang, Sunyang Fu, Andrew Wen, Xiaoyang Ruan, Huan He, Sijia Liu, Sungrim Moon, Michelle Mai, Irbaz B Riaz, Nan Wang, Ping Yang, Hua Xu, Jeremy L Warner, Hongfang Liu
Assessment Of Electronic Health Record For Cancer Research And Patient Care Through A Scoping Review Of Cancer Natural Language Processing, Liwei Wang, Sunyang Fu, Andrew Wen, Xiaoyang Ruan, Huan He, Sijia Liu, Sungrim Moon, Michelle Mai, Irbaz B Riaz, Nan Wang, Ping Yang, Hua Xu, Jeremy L Warner, Hongfang Liu
Faculty, Staff and Student Publications
Purpose: The advancement of natural language processing (NLP) has promoted the use of detailed textual data in electronic health records (EHRs) to support cancer research and to facilitate patient care. In this review, we aim to assess EHR for cancer research and patient care by using the Minimal Common Oncology Data Elements (mCODE), which is a community-driven effort to define a minimal set of data elements for cancer research and practice. Specifically, we aim to assess the alignment of NLP-extracted data elements with mCODE and review existing NLP methodologies for extracting said data elements.
Methods: Published literature studies were searched …
The Technical Landscape For Patient-Centered Cds: Progress, Gaps, And Challenges, Prashila Dullabh, Krysta Heaney-Huls, David F Lobach, Lauren S Hovey, Shana F Sandberg, Priyanka J Desai, Edwin Lomotan, James Swiger, Michael I Harrison, Chris Dymek, Dean F Sittig, Aziz Boxwala
The Technical Landscape For Patient-Centered Cds: Progress, Gaps, And Challenges, Prashila Dullabh, Krysta Heaney-Huls, David F Lobach, Lauren S Hovey, Shana F Sandberg, Priyanka J Desai, Edwin Lomotan, James Swiger, Michael I Harrison, Chris Dymek, Dean F Sittig, Aziz Boxwala
Faculty, Staff and Student Publications
Supporting healthcare decision-making that is patient-centered and evidence-based requires investments in the development of tools and techniques for dissemination of patient-centered outcomes research findings via methods such as clinical decision support (CDS). This article explores the technical landscape for patient-centered CDS (PC CDS) and the gaps in making PC CDS more shareable, standards-based, and publicly available, with the goal of improving patient care and clinical outcomes. This landscape assessment used: (1) a technical expert panel; (2) a literature review; and (3) interviews with 18 CDS stakeholders. We identified 7 salient technical considerations that span 5 phases of PC CDS development. …
Vikela Ekhaya: A Novel, Community-Based, Tuberculosis Contact Management Program In A High Burden Setting, Alexander W Kay, Micaela Sandoval, Godwin Mtetwa, Musa Mkhabela, Banele Ndlovu, Tara Devezin, Welile Sikhondze, Debrah Vambe, Joyce Sibanda, Gloria S Dube, Robert H Stevens, Bhekumusa Lukhele, Anna M Mandalakas
Vikela Ekhaya: A Novel, Community-Based, Tuberculosis Contact Management Program In A High Burden Setting, Alexander W Kay, Micaela Sandoval, Godwin Mtetwa, Musa Mkhabela, Banele Ndlovu, Tara Devezin, Welile Sikhondze, Debrah Vambe, Joyce Sibanda, Gloria S Dube, Robert H Stevens, Bhekumusa Lukhele, Anna M Mandalakas
Faculty, Staff and Student Publications
BACKGROUND: The prevention of tuberculosis (TB) in child contacts of TB cases and people living with human immunodeficiency virus (HIV) is a public health priority, but global access to TB preventive therapy (TPT) remains low. In 2019, we implemented Vikela Ekhaya, a novel community-based TB contact management program in Eswatini designed to reduce barriers to accessing TPT.
METHODS: Vikela Ekhaya offered differentiated TB and HIV testing for household contacts of TB cases by using mobile contact management teams to screen contacts, assess their TPT eligibility, and initiate and monitor TPT adherence in participants' homes.
RESULTS: In total, 945 contacts from …
Machine Learning Automated Detection Of Large Vessel Occlusion From Mobile Stroke Unit Computed Tomography Angiography, Alexandra L Czap, Mersedeh Bahr-Hosseini, Noopur Singh, Jose-Miguel Yamal, May Nour, Stephanie Parker, Youngran Kim, Lucas Restrepo, Rania Abdelkhaleq, Sergio Salazar-Marioni, Kenny Phan, Ritvij Bowry, Suja S Rajan, James C Grotta, Jeffrey L Saver, Luca Giancardo, Sunil A Sheth
Machine Learning Automated Detection Of Large Vessel Occlusion From Mobile Stroke Unit Computed Tomography Angiography, Alexandra L Czap, Mersedeh Bahr-Hosseini, Noopur Singh, Jose-Miguel Yamal, May Nour, Stephanie Parker, Youngran Kim, Lucas Restrepo, Rania Abdelkhaleq, Sergio Salazar-Marioni, Kenny Phan, Ritvij Bowry, Suja S Rajan, James C Grotta, Jeffrey L Saver, Luca Giancardo, Sunil A Sheth
Faculty, Staff and Student Publications
BACKGROUND: Prehospital automated large vessel occlusion (LVO) detection in Mobile Stroke Units (MSUs) could accelerate identification and treatment of patients with LVO acute ischemic stroke. Here, we evaluate the performance of a machine learning (ML) model on CT angiograms (CTAs) obtained from 2 MSUs to detect LVO.
METHODS: Patients evaluated on MSUs in Houston and Los Angeles with out-of-hospital CTAs were identified. Anterior circulation LVO was defined as an occlusion of the intracranial internal carotid artery, middle cerebral artery (M1 or M2), or anterior cerebral artery vessels and determined by an expert human reader. A ML model to detect LVO …
A Qualitative Investigation Of Organizational Challenges And Facilitators To Screening Individuals Experiencing Homelessness For Hepatitis C Virus (Hcv) In Houston, Texas, Alane Celeste-Villalvir, J Michael Wilkerson, Christine Markham, Lourdes Rodriguez, Vanessa Schick
A Qualitative Investigation Of Organizational Challenges And Facilitators To Screening Individuals Experiencing Homelessness For Hepatitis C Virus (Hcv) In Houston, Texas, Alane Celeste-Villalvir, J Michael Wilkerson, Christine Markham, Lourdes Rodriguez, Vanessa Schick
Faculty, Staff and Student Publications
BACKGROUND: Individuals experiencing homelessness may be at a disproportionately high risk for hepatitis C (HCV) because they may be more likely to engage in HCV risk behaviors. Community organizations that provide services to these vulnerable individuals can effectively screen, diagnose, and navigate them into HCV care. However, screening people experiencing homelessness for HCV at such organizations is limited by various challenges that remain understudied, including budgetary considerations and strategies to improve teamwork and communication. Accordingly, this study investigated the organizational challenges and facilitators to HCV screening of individuals experiencing homelessness as reported by homeless services providers.
METHODS: Staff (N = …
Characterizing Cancer And Covid-19 Outcomes Using Electronic Health Records, Youngran Kim, Liang Zhu, Huili Zhu, Xiaojin Li, Yan Huang, Chunhui Gu, Heather Bush, Caroline Chung, Guo-Qiang Zhang
Characterizing Cancer And Covid-19 Outcomes Using Electronic Health Records, Youngran Kim, Liang Zhu, Huili Zhu, Xiaojin Li, Yan Huang, Chunhui Gu, Heather Bush, Caroline Chung, Guo-Qiang Zhang
Faculty, Staff and Student Publications
PURPOSE: Patients with cancer often have compromised immune system which can lead to worse COVID-19 outcomes. The purpose of this study is to assess the association between COVID-19 outcomes and existing cancer-specific characteristics.
PATIENTS AND METHODS: Patients aged 18 or older with laboratory-confirmed COVID-19 between June 1, 2020, and December 31, 2020, were identified (n = 314 004) from the Optum® de-identified COVID-19 Electronic Health Record (EHR) derived from more than 700 hospitals and 7000 clinics in the United States. To allow sufficient observational time, patients with less than one year of medical history in the EHR dataset before their …
Controlled Software Evaluation Methodology: Case Simulation And Cognitive User Analysis, Kirt Walker, Sridhar Rajappan, Todd R. Johnson
Controlled Software Evaluation Methodology: Case Simulation And Cognitive User Analysis, Kirt Walker, Sridhar Rajappan, Todd R. Johnson
Faculty, Staff and Student Publications
Software for use with patient records is challenging to design and difficult to evaluate because of the tremendous variability of patient circumstances. A method was devised by the authors to overcome a number of difficulties. The method evaluates and compares objectively various software products for use in emergency departments and compares software to conventional methods like dictation and templated chart forms. The technique utilizes oral case simulation and video recording for analysis. The methodology and experiences of executing a study using this case simulation are discussed in this presentation.