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Medical Staff, Hospital

Medical Staff, Hospital: This term encompasses the various healthcare professionals who work within the hospital setting to provide patient care.
This includes physicians, nurses, allied health personnel, and administrative staff.
These individuals collaborate to deliver comprehensive, high-quality medical services to patients.
Their roles and responsibilities vary, but all contribute to the overall functioning and efficiency of the hospital.
Medical staff play a crucial role in maintaining patient safety, improving health outcomes, and advancing medical research and innovation.

Most cited protocols related to «Medical Staff, Hospital»

The Jidong Eye Cohort Study (JECS) is a community-based, prospective, long-term follow-up observational study conducted by the Affiliated Eye Hospital of Wenzhou Medical University. The JECS was designed to identify the etiology, imaging and biomarkers of visual impairment and its subtypes, evaluate the associations of ophthalmic lesions with the risks of cardiovascular and neurological diseases, and facilitate the identification and evaluation of vascular abnormalities and nerve degeneration in the early phase.
The study was performed in the Jidong community of Tangshan city in Hebei province. The location of the study is illustrated in Fig. 1. The study complied with the guidelines of the Declaration of Helsinki and was approved by the Ethics Committee of the Staff Hospital of the Jidong Oil-Field of Chinese National Petroleum (China National Petroleum Corporation Jidong Oil-Field Branch Staff Hospital approval document of the medical ethics committee, 2018 YILUNZI 1). All participants signed an informed consent form.

The geographical location of participants in JECS

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Publication 2020
Biological Markers Blood Vessel Chinese Congenital Abnormality Ethics Committees Ethics Committees, Clinical Low Vision Medical Staff, Hospital Nerve Degeneration Nervous System Disorder Oil Fields Petroleum

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Publication 2012
Child Cocaine Males Medical Staff, Hospital Mental Disorders Parent Patients Substance Use Disorders
The medical staff in our hospital who volunteered for the NAFLD study using FibroScan (502 Touch, Echosens, France) were recruited at the time of the annual physical checkup between January and March 2018. Information about the study participants was collected including previous medical history, drinking, and smoking status. Those with chronic liver diseases, including viral hepatitis B or C, autoimmune liver disease, recent infections, prolonged use of steroids, or estrogens were excluded. Individuals with daily alcohol consumption >20 g (for males) or >10 g (for females) were not included. Subjects with alanine transaminase (ALT) or aspartate transaminase (AST) higher than 5 times or plasma creatinine level higher than 2 times the upper normal limit were also excluded from the analysis. The study was conducted in accordance with the Declaration of Helsinki and was approved by the ethics committee of the First Affiliated Hospital of Sun Yat-sen University [Ethics Committee Review (2016) No. 146]. Informed consent was obtained from each participant.
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Publication 2021
Alanine Transaminase Aspartate Transaminase Autoimmune Diseases Creatinine Estrogens Ethics Committees Ethics Committees, Clinical Females Hepatitis B Infection Liver Liver Diseases Males Medical Staff, Hospital Non-alcoholic Fatty Liver Disease Physical Examination Plasma Steroids Touch

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Publication 2020
Abdomen Anxiety Chest Head Inhalation Lower Extremity Medical Staff, Hospital Movement Muscle Tissue Muscle Tonus Neck Nose Oral Cavity Patients Relaxation, Progressive Muscle Relaxation Techniques Shoulder Upper Extremity
Approximately 10 % (n = 249) of physicians credentialed at one or both of two Stanford affiliated hospitals were randomly selected from the medical staff and offered a $25 gift certificate to complete the Physician Wellness Survey, of which 162 (65% response rate) did so. In addition to the random sample, 669 (31% response rate) of the remaining 2135 medical staff members from both hospitals completed the subsequent survey of all physicians. All medical staff - including both employed and non-employed (adjunct) faculty (2135) as well as community physicians (249) - were invited to participate in this survey (2135 + 249 = 2384). The overall response rate for this survey was 34.9% ([162 + 669]/2384). Scores on survey measures from the two samples did not differ significantly. For this analysis, we included faculty physicians employed by Stanford University from both samples who consented to retention of their e-mail address, which enabled us to link their survey responses across time and to other data (Fig. 1, n = 472).

Study flow Diagram

The Physician Wellness Survey included previously developed and validated measures to assess self-reported burnout [25 (link)–27 (link)] and intent to leave [23 (link), 32 (link), 33 (link)]. We used the NIH Patient-Reported Outcomes Measurement Information System (PROMIS®) Short Forms to assess sleep-related impairment [34 (link)], depression, and anxiety [35 (link), 36 (link)]. Sleep-related impairment scores range from a minimum of 8 to maximum of 40, and anxiety and depression scores each range from 4 to 20. The NIH PROMIS guidelines can be used to identify T-scores that correspond to raw scores of each scale. T-scores of 50 or higher (with a standard deviation of 10) in these instruments are more likely to represent people with poorer health than the general population [37 –39 ]. Turnover data in 2015 was compiled by a third party custodian of the data using the medical staff directory. The cost of recruitment and start-up costs for new faculty hires was provided by the Stanford School of Medicine Chief Financial Officer.
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Publication 2018
Anxiety Burnout, Psychological Faculty Medical Staff Medical Staff, Hospital Physicians Retention (Psychology) Sleep

Most recents protocols related to «Medical Staff, Hospital»


Patients in the two groups received four mesalamine enteric soluble tablets (Sunflower Pharmaceutical Group Jiamusi Luling Pharmaceutical Co., Ltd., State Pharmacopoeia H19980148) orally, thrice daily. The treatment duration was 30d.

Patients in the research group additionally received IMT. ①Donor selection: Adults under 30 years old from a standard fecal bacteria bank, with a healthy lifestyle, good dietary habits, no bad habits such as smoking and drinking, no chronic diseases, no infectious diseases, no chronic diarrhea, constipation, irritable bowel disease, and no history of antibiotic or probiotic and other drug supplements use in the past 3 months were selected. ②Preparation of flora: Fecal bacteria were prepared by the manual method: 200 g of donor stool was collected early in the morning, and 50 g of stool was dissolved in 250 mL of saline, stirred, and filtered through filter sieves of 2-, 1-, 0.5- and 0.25-mm diameter. The supernatant was removed after centrifugation, and the precipitate was resuspended with saline and stored in a −80 °C refrigerator. ③Fecal bacteria transplantation. The frozen bacterial solution was thawed and rewarmed in a 37 °C water bath, 50 g of stool in 250 mL of saline. Transscopic intestinal implantation is adopted. The IMT was performed once a week, with a treatment duration of 30 d. During the treatment, the in-hospital medical staff provided dietary and lifestyle guidance to the patients.

Publication 2023
Adult Antibiotics Bacteria Bath Centrifugation Communicable Diseases Constipation Diarrhea Diet Dietary Supplements Disease, Chronic Donors Donor Selection Fecal Microbiota Transplantation Feces Freezing Helianthus annuus Inflammatory Bowel Diseases Intestines Medical Staff, Hospital Mesalamine Ovum Implantation Patients Personnel, Hospital Pharmaceutical Preparations Probiotics Saline Solution
In order to show the feasibility of the method we developed and proposed, we created probable work-life balance scenarios based on the internal medicine clinic of a real university hospital in Turkey (Süleyman Demirel University Hospital), in line with the wishes of the doctors working in that unit. Then, using the WLB-Tool according to these scenarios, we scheduled the doctors’ work time, taking into account their weekly working hours and starting time preferences. The results and success of each scheduling method are also presented.
In this study, a flexible WLB-Tool was developed with C# programming. Figure 1 shows the general features, structural connections, input data, usage, workflow, and scheduling results of the software. This research aimed to schedule weekly or monthly shifts or working periods for hospital staff with the help of software developed for this study. The weekly working hours and starting times of staff were adjusted based on their requests, and the following steps were considered for the development of the methods:

Hospital administration must record the number of staff required at different hours of the day (Fig. 1(1)).

Ranking scores for seniority obtained from the parameters such as years of work experience, certificates, and medical capabilities of the hospital staff (doctors, nurses, and technicians), were recorded on the software’s database. In addition, this information was included in the assignment if the method that prioritized seniority scores was used in scheduling (Fig. 1(1)-(A), and Fig. 2).

Each person registered in the database must manually enter their preferred number of weekly working hours into the software database. They also needed to select the working time periods (starting and ending hours) they preferred, predefined by the hospital management (Fig. 1(2)-(B), Fig. 2).

Finally, hospital management must decide which of the following scheduling methods to apply (Fig. 1(3)). If the hospital management preferred to prioritize the seniority of their workers (experience, years of service, certificates or qualities personnel possess) in scheduling, Seniority score Priority assignment Method (SPM) was used. However, if the management aimed for fair and balanced assignment of personnel according to the employee’s preferences, the Balanced Fair assignment Method (BFM) ought to be used. SPM and BFM are important methods first developed in this study. Additionally, alongside the two methods indicated above, we have included the widely known and applied heuristic Genetic Algorithm Method (GAM) among our options since we desired to comparatively evaluate the scheduling results of an optimization algorithm with those of BFM.

Data flow diagram of the Work-Life Balance Tool (WLB-Tool) for hospital management

The interface to determine the number of staff for hospital management and requests of staff

The implemented scheduling methods in this study are as follows(Fig. 1(3)):

Seniority score Priority assignment Method (SPM): It assigned staff by including their scores in the appointments considering their year of employment, seniority, or qualifications. These factors vary from person to person and are required to calculate points for staff and must be saved in the database. A higher score provides priority/advantage in the appointment of staff. This information can only be applied in the Seniority score Priority assignment Method (SPM).

Balanced Fair assignment Method (BFM): This method is an optimization method developed particularly for this study. It is an equitable method for personnel that aims to meet each employee’s demands at the highest rate, focusing on equality and balance in meeting the demands among employees at the same time.

Genetic Algorithm Method (GAM): Genetic algorithms are frequently used optimization procedures based on natural selection and genetics. Therefore, genetic algorithms scan a vast territory of possible problems, and appropriate solutions are obtained quickly. Genetic algorithms were used in the study to meet the requests of all employees at the highest rate.

Mutation rate, iteration number, and population number must be entered before running this method. The basic operations used in the simple genetic algorithm are breeding, crossover, and mutation. After breeding, the crossover process is applied initially by selecting two individuals from the mating pool created during the breeding process. The next step is that a random crossover location is chosen over the design vector length. Finally, the mutation operator is applied to new sequences at a certain probability level. A randomly selected integer value replaces one or more values of a design vector in a mutation. In the mutation process, a random integer value between the upper and lower limits happens at a random place in the sequence. Finally, new sequences from crossover and mutation processes are replaced with the old sequences in the newly formed population.
Publication 2023
Cloning Vectors Hospital Administration Medical Staff, Hospital Mutation Natural Selection Nurses Personnel, Hospital Physicians Radionuclide Imaging Reproduction
The research protocol (REC.63-164-14-1) was approved by the local ethics committee and all participants provided written informed consent before enrollment in the study.
The doctors in charge or medical staff in each of the participating hospitals were informed to notify the research team or the correspondent, within 72 h of any patient admission due to pneumonia. Written informed consent was provided prior to enrollment. The clinical and imaging findings of the consented patients were reviewed by the research team along with a radiologist if participants are diagnosed with CAP/HCAP according to the criteria. Expectorated/endotracheal-aspirated (intubated participants) sputum was collected within 24 h of enrollment. Nasopharyngeal throat swabs were used when sputum was not adequately collected. The clinical data of the patients were collected, and the patients were followed up until they were discharged or died. Sample collection, processing, and laboratory diagnostic testing followed the World Health Organization recommendations and CDC guidelines. The patient’s sputum was re-suspended in N-acetylcysteine (NAC) in a 1:1 ratio, and the nucleic acids were extracted from 200 µL of the samples using MagDEA® Dx reagents (Precision System Science, Chiba, Japan) and a fully automated nucleic acid extraction system, according to the manufacturer’s instructions. The presence of SARS-CoV-2 was detected via real-time polymerase chain reaction (RT-PCR) amplification using a SARS-CoV-2 Nucleic Acid Diagnostic Kit (Sansure, Changsha, China). ORF 1ab and N genes were used as the target regions, and human RNase P was used as an internal standard gene control with a lower limit of detection of 200 copies/mL. The respiratory pathogens were detected using the Allplex™ Respiratory Panel Assays (Seegene Inc., Seoul, South Korea), which is a multiplex one-step real-time PCR assay based on Seegene’s proprietary MuDT™ technology to identify 26 causative pathogens, including influenza virus (FluA, Flu A-H1, Flu A-H1pdm09, Flu A-H3, Flu B), respiratory syncytial virus (RSV-A, RSV-B), adenovirus, enterovirus, metapneumovirus, parainfluenza virus (PIV 1-4), bocavirus 1/2/3/4, coronavirus 229E, coronavirus NL63, coronavirus OC43, human rhinovirus, Bordetella parapertussis, Bordetella pertussis, Chlamydophila pneumoniae, Hemophilus influenzae, Legionella pneumophila, Mycoplasma pneumoniae, and Streptococcus pneumoniae.
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Publication 2023
Acetylcysteine Adenoviruses Biological Assay Bocavirus Bordetella parapertussis Bordetella pertussis Chlamydophila pneumoniae Coronavirus Coronavirus 229E, Human Diagnosis Enterovirus Gene Expression Regulation Genes Haemophilus influenzae Homo sapiens Legionella pneumophila Medical Staff, Hospital Metapneumovirus Mycoplasma pneumoniae Nasopharynx NL63, Human Coronavirus Nucleic Acids Orthomyxoviridae Parainfluenza pathogenesis Patient Admission Patients Pharynx Physicians Pneumonia Radiologist Real-Time Polymerase Chain Reaction Regional Ethics Committees Respiratory Rate Respiratory Syncytial Virus Reverse Transcriptase Polymerase Chain Reaction Rhinovirus RNase P SARS-CoV-2 Specimen Collection Sputum Streptococcus pneumoniae Virus
After being assigned a GDPR code and signing the informed consent, patients completed a questionnaire structured on several dimensions related to decision-making; the completion of the questionnaire was carried out by operators (medical staff from the hospital) and was completed by patients from several departments of the hospital, with various pathologies. The study was previously approved by the Ethics Committee of the hospital. In addition, the research followed the STROBE checklist for reporting observational studies [46 (link)]. The checklist is available in the supplementary materials (Table S1).
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Publication 2023
Ethics Committees, Clinical Medical Staff, Hospital Patients
Client-owned dogs of any age and sex, weighing greater than 3 kg bodyweight, and presenting to the Texas A&M University Veterinary Medical Teaching Hospital (VMTH) or Gulf Coast Veterinary Specialists with a definitive diagnosis of a specific liver disease, arrived at either histologically or through diagnostic imaging, between 1 May 2019, and 30 November 2021, were prospectively enrolled into this study. In addition, during the spring and fall semesters of 2021, an additional 21 dogs owned by the faculty and staff of the VMTH were recruited as healthy controls (HC). The health of these dogs was determined by the absence of clinical signs based on owner questionnaire; physical examination; and the lack of clinically relevant abnormalities on a complete blood count, urinalysis, and serum biochemistry profile. The animal use protocol for this study was approved by the Institutional Animal Care and Use Committee of Texas A&M University (IACUC 2017-0351 and IACUC 2020-0248). Informed owner consent was obtained prior to study enrollment for all dogs.
Where clinically indicated for diseased dogs, 4 to 6 laparoscopic liver biopsy specimens were collected and submitted for routine histopathology (including rhodanine staining for copper) and for tissue copper quantification by flame atomic absorption spectrometry at the Veterinary Diagnostic Laboratory at Colorado State University (Fort Collins, CO, USA). The diagnoses of hepatic disease, based on micromorphological diagnosis by a board-certified veterinary anatomic pathologists, routine bloodwork, and diagnostic imaging (i.e., CT angiography and ultrasound interpreted by a board-certified veterinary radiologist), when available, were used to identify dogs belonging to the following three liver disease groups: chronic hepatitis (CH), steroid hepatopathy (SH), or congenital portosystemic shunt (CPSS). Basic demographic information (i.e., breed, sex, age, and weight) as well as a current medication list (including whether a dog was taking any antioxidant supplements) were collected at time of enrollment.
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Publication 2023
Animals Antioxidants Biopsy Complete Blood Count Computed Tomography Angiography Congenital Abnormality Copper Diagnosis Dietary Supplements Faculty Hepatitis, Chronic Hepatobiliary Disorder Institutional Animal Care and Use Committees Laparoscopy Liver Liver Diseases Liver Function Tests Medical Staff, Hospital Pathologists Pharmaceutical Preparations Physical Examination Radiologist Rhodanine Serum Specialists Spectrophotometry, Atomic Absorption Steroids Surgical Portosystemic Shunt Tissues Ultrasonography Urinalysis

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More about "Medical Staff, Hospital"

Medical professionals in the hospital setting, such as physicians, nurses, allied health personnel, and administrative staff, play a crucial role in delivering high-quality patient care.
These individuals collaborate to maintain patient safety, improve health outcomes, and advance medical research and innovation.
The hospital medical staff encompasses a diverse range of healthcare providers, each with their own unique responsibilities and expertise.
Physicians, including specialists and primary care doctors, are responsible for diagnosing, treating, and managing patients' medical conditions.
Nurses provide essential hands-on care, administering medications, monitoring vital signs, and coordinating with other members of the healthcare team.
Allied health personnel, such as physical therapists, respiratory therapists, and medical technologists, offer specialized services to support patient recovery and well-being.
Administrative staff, including hospital administrators, medical coders, and billing specialists, ensure the smooth functioning of the hospital by managing operations, processing patient records, and handling insurance and financial matters.
The hospital medical staff's roles and responsibilities are diverse, but they all contribute to the overall efficiency and effectiveness of the healthcare system.
With their expertise and dedication, they strive to provide comprehensive, patient-centered care and drive advancements in medical research and technology.
Relevant terms and abbreviations include: Comirnaty (COVID-19 vaccine), NIRScout (near-infrared imaging system), Stata 14 (statistical software), FBS (fetal bovine serum), L-glutamine (amino acid), MRNA-1273 (Moderna COVID-19 vaccine), BNT162b2 (Pfizer-BioNTech COVID-19 vaccine), Infinium™ II HumanHap550 (genotyping microarray), and Magneton Vision (MRI system).