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Medical Staff

Medical Staff: A diverse team of healthcare professionals, including physicians, nurses, technicians, and other specialized roles, who collaborate to provide comprehensive patient care.
These individuals possess specialized knowledge, skills, and expertise to diagnose, treat, and monitor patients, while also contributing to medical research and education.
The medical staff works together to ensure the highest standards of patient safety, efficeincy, and outcomes.
Their collective efforts are crucial in enhancing the reproducibility and accuracy of medical research, utilizing innovative tools and technologies to streamline workflows and improve the quality of findings.

Most cited protocols related to «Medical Staff»

Identifying Depression in Healthcare Data

The following distinct sources of the SNIIRAM were used to select persons with depression:

Diagnoses of long-term or costly conditions (Affections de Longue Durée, ALD). Patients with specific long-term or costly conditions may require full coverage for all their condition-related health expenditures upon request by their family doctor and after approval by a health insurance fund medical officer (médecin-conseil) [18 ].

Data from national hospital claims (Programme de Médicalisation des Systèmes d’Information, PMSI) for all inpatient and day-case admissions in public and private general and psychiatric hospitals, containing medical diagnoses defined as ICD-10 codes. In both general and psychiatric hospitals, a principal diagnosis is defined as the main reason for admission, while associated diagnoses provide information about conditions that significantly influenced care during the hospital stay [19 ].

Data concerning all national health insurance reimbursements for drugs, laboratory tests and outpatient medical procedures. Individuals receiving reimbursements for antidepressants (N06A section of the ATC classification except for oxitriptan) can be identified. However, these databases do not contain direct information about the diagnosis justifying the prescription, and these drugs are not specific for depression, as they can also be prescribed for other conditions (bipolar disorders, anxiety or chronic pain). An antidepressant prescription is typically valid 1 month.

All three sources were not considered to be equally reliable for identifying patients with depression. Reliability of the sources was assessed as follows: for the purpose of identifying individuals suffering from depression, full coverage for depression as a specific long-term or costly condition (source 1) was more reliable than the hospital claims database (source 2), which was more reliable than reimbursement for antidepressants (source 3). In the hospital claims database, associated diagnoses reported during general hospital stays were assumed to be less reliable than those reported during psychiatric hospital stays. The reasons underlying this classification of source reliability included (1) the mode of acquisition of the information (diagnoses resulting from medical interviews were regarded as more reliable than hospital diagnostic codes sometimes coded by non-medical staff, themselves regarded as a more reliable diagnostic markers than prescription drugs) and (2) what was as stake when the information was coded (hospital diagnostic codes that had no consequence on costs were regarded as less reliable than codes influencing costs or giving access to benefits). These reasons are described and discussed more thoroughly in the Merits and drawbacks of the various methods section of the Discussion section of this article.
Accordingly, five estimation methods with decreasing order of reliability were defined. ICD-10 codes F32 to F39 were used in all estimation methods to identify depression (either as a full health coverage code or as a principal or associated diagnosis). At least three reimbursements for antidepressants were used to identify treatment by antidepressant. Hospital stays in the last 5 years with a principal or associated diagnosis of depression were used to identify principal diagnosis history and associated diagnosis history of depression respectively.

Method A (Full coverage for depression): Selection of individuals with full coverage for depression as a specific long-term or costly condition during the study (source 1);

Method B (Hospitalisation for depression): Selection of individuals with depression as principal or associated diagnosis in a psychiatric hospital stay or as principal diagnosis in a general hospital stay using two timeframes: (a) the current calendar year and (b) the last two calendar years (source 2). Calendar years were used for technical reasons.

Method C (Current antidepressant treatment + History of hospitalisation during the past 5 years): Selection of individuals treated by antidepressant and with a general hospital principal diagnosis history of depression or a psychiatric hospital principal or associated diagnosis history of depression (combination of sources 2 and 3);

Method D (Hospitalisation in a general hospital with an associated diagnosis of depression): Selection of individuals with depression as associated diagnosis in a general hospital stay using two timeframes: (a) the current calendar year and (b) the last two calendar years (source 2);

Method E (Current antidepressant treatment + History of hospitalisation in a general hospital with an associated diagnosis of depression during the past 5 years): Selection of individuals treated by antidepressant and with a general hospital associated diagnosis history of depression (combination of sources 2 and 3).

Individuals with a hospital diagnosis of bipolar disorder (ICD-10 codes F30 or F31) in the last 5 years or a specific treatment for bipolar disorder (lithium, divalproex or valpromide) were not included in the study.

Filipovic-Pierucci A., Samson S., Fagot J.P, & Fagot-Campagna A. (2017). Estimating the prevalence of depression associated with healthcare use in France using administrative databases. BMC Psychiatry, 17, 1.

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Publication 2017

5-Hydroxytryptophan Antidepressive Agents Anxiety Bipolar Disorder Chronic Pain Diagnosis Diagnosis, Psychiatric dipropylacetamide Health Insurance Hospitalization Inpatient Insurance, Health, Reimbursement Lithium Medical Staff Outpatients Patients Pharmaceutical Preparations Physicians Prescription Drugs Valproic Acid

Longitudinal Study of Child Health

Five priority outcomes are: 1) reproduction and pregnancy complications (e.g. abnormal pregnancies, premature birth, unbalanced sex ratio, and miscarriage), 2) congenital anomalies (ventricular septal defects, hypospadias, undescended testis, cleft lip/cleft palate, and chromosomal anomalies), 3) neuropsychiatric disorders (autism spectrum disorders, learning disorders, and attention-deficit hyperactivity disorder), 4) allergies and immune system deficiencies (asthma, atopic dermatitis, and food allergies), 5) metabolism and endocrine system disorders (impaired glucose tolerance, obesity, impact on reproductive organs, impaired genital formations, and sexual differentiation disorder). However, hundred thousand is not enough to analyze the association between environmental exposures and cancers. JECS collects cancer information in order to contribute future international pooled analysis, e.g. International Childhood Cancer Cohort Consortium (I4C) [6 (link)].
From the JECS cohort, a sub-cohort with the size of 5,000 will be extracted. In that sub-cohort extended outcome measurements are planned, for instance, clinical analysis of blood samples from children; face to face interviews by medical staffs to evaluate neurological development; and medical examination.

Kawamoto T., Nitta H., Murata K., Toda E., Tsukamoto N., Hasegawa M., Yamagata Z., Kayama F., Kishi R., Ohya Y., Saito H., Sago H., Okuyama M., Ogata T., Yokoya S., Koresawa Y., Shibata Y., Nakayama S., Michikawa T., Takeuchi A, & Satoh H. (2014). Rationale and study design of the Japan environment and children’s study (JECS). BMC Public Health, 14, 25.

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Publication 2014

Anabolism Asthma Autism Spectrum Disorders Child Cleft Palate Congenital Abnormality Cryptorchidism Disorder, Attention Deficit-Hyperactivity Disorder, Chromosomal Eczema Endocrine System Diseases Environmental Exposure Face Food Allergy Genitalia Hematologic Tests Hypersensitivity Hypospadias Intolerances, Glucose Learning Disorders Lips, Cleft Malignant Neoplasms Medical Staff Metabolism Obesity Palate Pregnancy Pregnancy Complications Premature Birth Reproduction Sex Differentiation Disorders Spontaneous Abortion System, Immune Ventricular Septal Defects

SARS-CoV-2 Contact Tracing Protocol

When a patient was laboratory-confirmed to have SARS-CoV-2 infection, a thorough epidemiological investigation, including contact tracing, was implemented by the outbreak investigation team of the Taiwan CDC and local health authorities. The period of investigation started at the date at symptom onset (and could be extended to up to 4 days before symptom onset when epidemiologically indicated) and ended at the date at COVID-19 confirmation. For asymptomatic confirmed cases, the period of investigation was based on the date at confirmation (instead of date at onset) and was determined according to epidemiological investigation. The definition of a close contact was a person who did not wear appropriate personal protection equipment (PPE) while having face-to-face contact with a confirmed case for more than 15 minutes during the investigation period. A contact was listed as a household contact if he or she lived in the same household with the index case. Those listed as family contacts were family members not living in the same household.
For health care settings, medical staff, hospital workers, and other patients in the same setting were included; close contact was defined by contacting an index case within 2 m without appropriate PPE and without a minimal requirement of exposure time. Whether the PPE was regarded as “appropriate” depended on the exposure setting and the procedures performed. For example, for physicians who performed aerosol-generating procedures, such as intubation, an N95 respirator was required. For such procedures, a surgical mask would not be appropriate PPE. Accordingly, the medical staff would be listed as a close contact.
All close contacts were quarantined at home for 14 days after their last exposure to the index case. During the quarantine period, any relevant symptoms (fever, cough, or other respiratory symptoms) of close contacts would trigger RT-PCR testing for COVID-19. For high-risk populations, including household and hospital contacts, RT-PCR was performed regardless of symptoms. Essentially, these high-risk contacts were tested once when they were listed as a close contact. If the initial COVID-19 test result was negative, further testing would only be performed if a close contact developed symptoms during quarantine. The Taiwan CDC used an electronic tracing system (Infectious Disease Contact Tracing Platform and Management System) to follow and record the daily health status of those quarantined contacts.¹⁸ The information collected included age, sex, the index case, date at exposure, and the exposure setting.

Cheng H.Y., Jian S.W., Liu D.P., Ng T.C., Huang W.T, & Lin H.H. (2020). Contact Tracing Assessment of COVID-19 Transmission Dynamics in Taiwan and Risk at Different Exposure Periods Before and After Symptom Onset. JAMA Internal Medicine, 180(9), 1156-1163.

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Publication 2020

Cough COVID 19 Face Family Member Fever Households Intubation Medical Staff N95 Respirators Operative Surgical Procedures Patients Personnel, Hospital Physicians Population at Risk Precipitating Factors Reverse Transcriptase Polymerase Chain Reaction Signs and Symptoms, Respiratory

Evaluating Nurse-Led Interventions for First-Time Parents

INSIGHT is a two-arm randomized, controlled trial that involves nurses delivering interventions to first-time parents and their infants at four home visits in the first year after birth followed by clinical research center visits at ages 1, 2, and 3 years (Figure 1). Following completion of informed consent, research staff collected data from the newborn medical record, and participating mothers completed baseline demographic questionnaires. Because we are interested in the effect of the intervention program on formula fed and breastfed infants, mothers were contacted via telephone 10 to 14 days following childbirth, and randomized to a study group with stratification performed based on mothers’ intended feeding mode (breastfeeding or formula) and sex-specific birth weight for gestational age (<50th percentile or ≥50th percentile) [101 (link)]. This study was approved by the Penn State College of Medicine’s Human Subjects Protection Office and registered at http://www.clinicaltrials.gov (NCT01167270) prior to enrollment of the first participant.

Paul I.M., Williams J.S., Anzman-Frasca S., Beiler J.S., Makova K.D., Marini M.E., Hess L.B., Rzucidlo S.E., Verdiglione N., Mindell J.A, & Birch L.L. (2014). The Intervention Nurses Start Infants Growing on Healthy Trajectories (INSIGHT) study. BMC Pediatrics, 14, 184.

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Publication 2014

Birth Weight Childbirth Gestational Age Homo sapiens Infant Infant, Newborn Medical Staff Mothers Nurses Parent Visit, Home

Frailty Assessment using 30-second Chair Stand Test

In this experimental study, 47 subjects with different frailty levels were asked to perform the 30-s CST. Specifically, 13 frail subjects (4 males and 9 females, aged 85 ± 5 years, body mass 67.5 ± 8.6 kg, and height 1.54 ± 0.05 m), 16 pre-frail (8 males and 8 females, aged 78 ± 3 years, body mass 71.6 ± 10.5 kg, and height 1.61 ± 0.08 m) and 18 healthy subjects (14 males and 4 females, aged 54 ± 6 years, body mass 75.2 ± 3.4 kg, and height 1.76 ± 0.04 m) volunteered to participate in this study. The frail and pre-frail subjects were selected from the population used for the baseline data of the Toledo Study for Healthy Aging (TSHA) [37 (link)]. According to the criteria defined by Fried et al., [2 (link)], frailty was determined as the presence of three or more of the following criteria: slowness, weakness, weight loss, exhaustion, and low physical activity. Subjects were classified as pre-frail if one or two criteria were present and as non-frail if no criteria were present. All of the subjects were thoroughly informed about the experimental procedure; the purpose, nature, and possible risks associated with the study; and their right to terminate participation at their discretion. Subsequently, the subjects provided their written informed consent to participate. These experimental procedures were approved by the Institutional Review Committee of the Public University of Navarra and the Department of Health Sciences of the Government of Navarra, according to the Declaration of Helsinki.
The 30-s CST consists of standing up and sitting down from a chair as many times as possible within 30 seconds. A standard chair (with a seat height of 40 cm) without a backrest but with armrests was used. Initially, subjects were seated on the chair with their back in an upright position. They were instructed to look straight forward and to rise after the “1, 2, 3, go” command at their own preferred speed with their arms folded across their chest. All trials were performed using the same chair and with similar ambient conditions. The medical staff who supervised the performance of the test did not participate in analyzing the kinematic data, and they did not have any knowledge about the analysis whatsoever.
As described in the background section, the present study contains two parts. In the first part, all of the subjects from the three frailty groups were evaluated. Everyone was able to finish the test properly. In the second part, a subset of the data from the initial test was considered. A group of seven pre-frail and eight healthy subjects, with a mean number of 17 sit-stand-sit cycles per group and a range of 15–20 were evaluated.

Millor N., Lecumberri P., Gómez M., Martínez-Ramírez A, & Izquierdo M. (2013). An evaluation of the 30-s chair stand test in older adults: frailty detection based on kinematic parameters from a single inertial unit. Journal of NeuroEngineering and Rehabilitation, 10, 86.

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Publication 2013

Arm, Upper Asthenia Chest Females Healthy Volunteers Human Body Males Medical Staff

Most recents protocols related to «Medical Staff»

Perianal Screening for Carbapenem-Resistant Enterobacteriaceae

All patients routinely received perianal screening for CRE within 48 hours of each hospital admission. In addition, some patients received perianal bacterial culture tests when they were suspected of infection by a competent physician during hospitalization. Perianal skin and throat swab samples were collected and submitted for examination by specially trained medical staff. Bacterial culture, identification and drug sensitivity test were conducted by special technicians in the microbiology laboratory, and the target bacteria were CRE. All CRE strains were isolated from perianal skin swabs and blood samples. Blood culture was performed using an automatic blood culture system (BD, USA). The isolation and identification of bacteria were carried out strictly following the relevant provisions of the National Clinical Laboratory Procedures. VITEK 2 compact (bioMérieux, France) was used to identify the isolates and MALDI-TOF MS (bioMérieux, France) was used for further confirmation. Antibiotic susceptibility testing was performed in the microbiology laboratory of the hospital using an automated system (VITEK 2 Compact) with the broth microdilution and disk diffusion methods. The following antibiotics were tested: penicillins (ticarcillin, piperacillin), β-lactamase inhibitor combinations (amoxicillin/clavulanic acid, piperacillin/tazobactam, cefoperazone/sulbactam), cephalosporins (cefazolin, cefuroxime, ceftazidime, cefepime, cefotaxime, cefotetan, cefpodoxime, ceftizoxime), quinolones (levofloxacin, moxifloxacin, ciprofloxacin, norfloxacin), carbapenems (imipenem, meropenem, doripenem), aminoglycosides (amikacin, tobramycin), tetracyclines (tetracycline, minocycline), aztreonam, trimethoprim/sulfamethoxazole and tigecycline. The minimum inhibitory concentration (MIC) was measured according to the guidelines of the 31st Edition of the Clinical and Laboratory Standards Institute (CLSI) M100-Performance Standards for Antimicrobial Susceptibility Testing.14 The detection of carbapenemases in CRE according to the modified carbapenem inactivation assay (mCIM and eCIM) provided by the CLSI 31th Edition.

Liu J., Zhang H., Feng D., Wang J., Wang M., Shen B., Cao Y., Zhang X., Lin Q., Zhang F., Zheng Y., Xiao Z., Zhu X., Zhang L., Wang J., Pang A., Han M., Feng S, & Jiang E. (2023). Development of a Risk Prediction Model of Subsequent Bloodstream Infection After Carbapenem-Resistant Enterobacteriaceae Isolated from Perianal Swabs in Hematological Patients. Infection and Drug Resistance, 16, 1297-1312.

Publication 2023

Amikacin Aminoglycosides Amox clav Antibiotics Aztreonam Bacteria beta-Lactamase Inhibitors Biological Assay Blood Blood Culture carbapenemase Carbapenems Cefazolin Cefepime Cefoperazone Cefotaxime Cefotetan cefpodoxime Ceftazidime Ceftizoxime Cefuroxime Cephalosporins Ciprofloxacin Clinical Laboratory Services Clinical Laboratory Techniques Diffusion Doripenem Hemic System Hospitalization Hypersensitivity Imipenem Infection isolation Levofloxacin Medical Staff Meropenem Microbicides Minimum Inhibitory Concentration Minocycline Moxifloxacin Norfloxacin Patients Penicillins Pharynx Physicians Piperacillin Piperacillin-Tazobactam Combination Product Quinolones Skin Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Strains Substance Abuse Detection Sulbactam Susceptibility, Disease Tetracycline Tetracyclines Ticarcillin Tigecycline Tobramycin Trimethoprim-Sulfamethoxazole Combination

Socioeconomic Status and Health Literacy

Use profession status, education level and income level to measure the socioeconomic status of the respondents. As for which of the three variables of education, income and occupation is more important, the opinions of various researchers are not consistent [28 (link), 29 (link)], so this paper still adds these three variables with equal weight [30 (link)]. The health literacy questionnaire included three types of questions: true/false (correct response received 1 points), single-answer (correct response received 1 points), and multiple-answer (correct responses received 2 points). The total score of the health literacy questionnaire is 66, and those who reach 80% or more of the total score are judged to have basic health literacy [31 ]. Chronic disease and self-rated health are selected as indicators to measure health status. See Table 1 for specific assignment standards of each variable.Table 1

Variable definition and assignment

Variable	Definition and assignment
Education level	1 = Illiterate/Primary school, 2 = Junior high school, 3 = Senior high school/Vocational high school/Technical secondary school, 4 = Junior college/University, 5 = Postgraduate and higher
Income level	Annual per capita household income = Total annual household income/Household size. 1 = Less than 10,000 yuan; 2 = 10,000–29,999 yuan; 3 = 30,000–49,999 yuan; 4 = 50,000–69,999 yuan; 5 = 70,000 yuan and higher
Professional status	1 = The unemployed/Retiree; 2 = Farmer/Worker; 3 = Enterprise employee/Personnel of other public institutions/Businessman/College student; 4 = Teacher/Medical staff; 5 = Civil servant
Socioeconomic status	The individual's comprehensive socioeconomic status is measured by adding the scores of education level, income level and professional status. The higher the score is, the higher the status is. The actual lowest score in all samples is 4 and the highest score is 14. 4–7 of socioeconomic status score = Population with low socioeconomic status, 8–10 = Population with middle socioeconomic status, 11–14 = Population with high socioeconomic status
Chronic disease	1 = Suffering from any one or more chronic diseases, such as hypertension, diabetes, cerebrovascular disease, etc.; Otherwise = 0
Self-rated health	1 = Self-rated health is "good" or "better"; Otherwise = 0

Yu H., Sun S., Ling J., Chen H, & Liu G. (2023). Influence of health literacy on health outcomes of different social strata—— an empirical study based on the data of China's health literacy investigation. International Journal for Equity in Health, 22, 42.

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Publication 2023

Cerebrovascular Disorders Diabetes Mellitus Disease, Chronic Farmers Head Health Literacy High Blood Pressures Households Medical Staff Student

Characterizing Idiopathic Normal Pressure Hydrocephalus

The study design and protocol have been approved by the ethics committees for human research at our institute (IRB number: R2019-227). This study followed a prospective and observational design. The study was performed in accordance with the approved guidelines of the Declaration of Helsinki. From November 2020 to February 2022, 133 healthy volunteers aged ≥ 20 years underwent MRI after providing written informed consent explaining the potential for detection of brain disease. Volunteers were recruited from medical staff and students, and their families by open recruitment. Inclusion criteria for this study were those who had no history of brain injury, brain tumor or cerebrovascular disease on previous brain MRI, or those who had never undergone brain MRI and no neurological symptoms including cognitive function. One volunteer aged 84 years old was excluded from this study because of a history of head surgery due to a head injury over 30 years ago. In addition, three volunteers were incidentally found small unruptured intracranial aneurysms with a maximum diameter of < 2 mm on this MRI. They were included in this study, because small unruptured aneurysms might not affect CSF motion.
Patients’ MRI data was used in an opt-out method, after their personal information was anonymized in a linkable manner. Among 44 patients suspected with NPH, 5 patients diagnosed with secondary NPH [29 (link)] that developed after subarachnoid hemorrhage [3 (link)], intracerebral hemorrhage [1 (link)], and severe meningitis [1 (link)], and 3 patients diagnosed with congenital/developmental etiology NPH [30 (link)] were excluded from this study. Finally, 36 patients diagnosed with iNPH who had radiological findings of disproportionately enlarged subarachnoid space hydrocephalus (DESH) [31 (link)], specifically ventricular dilatation, enlarged Sylvian fissure, and narrow sulci at the high convexity, and triad symptoms of gait disturbance, cognitive impairment, and/or urinary incontinence were included in this study, according to the Japanese guidelines for management of iNPH [32 (link)]. Of them, 18 patients (50%) underwent CSF removal in 30–35 ml via a lumbar tap and were evaluated for changes in their symptoms before, one day and two days after the CSF tap test. In addition, 21 patients (86%) underwent CSF shunt surgery and their symptoms improved by ≥ 1 point on the modified Rankin Scale and/or the Japanese iNPH grading scale [32 (link)].

Yamada S., Hiratsuka S., Otani T., Ii S., Wada S., Oshima M., Nozaki K, & Watanabe Y. (2023). Usefulness of intravoxel incoherent motion MRI for visualizing slow cerebrospinal fluid motion. Fluids and Barriers of the CNS, 20, 16.

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Publication 2023

Aneurysm Brain Brain Diseases Brain Injuries Brain Neoplasms Cerebral Hemorrhage Cognition Craniocerebral Trauma Dilatation Disorders, Cognitive Ethics Committees Head Healthy Volunteers Heart Ventricle Homo sapiens Hydrocephalus Intracranial Aneurysm Japanese Lumbar Region Medical Staff Meningitis Neurologic Symptoms Operative Surgical Procedures Patients Shunt, Cerebrospinal Fluid Student Subarachnoid Hemorrhage Subarachnoid Space Triad resin Urinary Incontinence Voluntary Workers X-Rays, Diagnostic

Measuring Primary Health Workers' Career Identity

With reference to the Nurse Professional Identity Scale translated and validated by Liu et al. (32 (link)) and the Medical Staff Professional Identity Scale developed by Wu (33 ), the career identity scale suitable for primary health workers was developed after discussion between the subject group and experts. The scale consists of 12 items, and each item is scored by Likert 5-level scale, ranging from 1 (strongly disagree) to 5 (strongly agree). The total score of the scale ranges from 12 to 60, and the higher the score, the stronger the career identity of the primary health workers. The Cronbach's α coefficient of the scale in this study was 0.90.

Yang D., Fang G., Fu D., Hong M., Wang H., Chen Y., Ma Q, & Yang J. (2023). Impact of work-family support on job burnout among primary health workers and the mediating role of career identity: A cross-sectional study. Frontiers in Public Health, 11, 1115792.

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Publication 2023

Health Personnel Medical Staff Nurses

Guangzhou Patients' Medical Decision-Making Preferences

The data for this study were obtained from 248 valid patient questionnaires collected by the project team members at third-level grade-A hospitals in Guangzhou by random sampling from September to December 2021. Before the implementation of the questionnaire, the investigators explained the study to the hospital's medical staff and patients, and all participants provided written informed consent. Ethical approvals were obtained by the Ethical Review Committee of the China Guangzhou Medical University. The questionnaire data consists of two parts. The first part includes the basic information of the patient, and the second part includes the choice tendency of patients' medical decision-making. The specific questionnaire design is shown in Appendix A.
The predictor variables consisted of a set of demographic and study variables that were selected based on the literature. The demographic variables (19 (link)) include patients' gender, age, education, religion, marital status, and the number of children, family annual income, and the main source of income. Study variables include the condition and severity of any disease (20 (link), 21 (link)), the ratio of family monthly medical expenses to income (within 5 years) (22 (link)), and medical insurance status (23 (link)).
The outcome variable was the patients' medical decision-making choice tendency. According to the principle of optimization, the choice tendency of medical decision-making is set into four aspects, namely, treatment effect, treatment cost, treatment side effect, and treatment experience (8 ). Among them, the choice tendency of each category was sorted by scale (1 = very important, 2 = important, 3 = low importance, 4 = not important at all).

Lyu Y., Xu Q., Yang Z, & Liu J. (2023). Prediction of patient choice tendency in medical decision-making based on machine learning algorithm. Frontiers in Public Health, 11, 1087358.

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Publication 2023

Child Ethical Review Gender Medical Staff Patients

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More about "Medical Staff"

The medical staff, a diverse team of healthcare professionals, is the backbone of the healthcare system.
This team includes physicians, nurses, technicians, and other specialized roles, all working collaboratively to provide comprehensive patient care.
These individuals possess a wealth of specialized knowledge, skills, and expertise, enabling them to accurately diagnose, treat, and monitor patients, while also contributing to groundbreaking medical research and education.
The collective efforts of the medical staff are crucial in enhancing the reproducibility and accuracy of medical research.
By utilizing innovative tools and technologies, such as the Hitachi Automatic Analyzer 7600, Stata 14, SAS 9.4, and the XN-9000 and AU5800 analyzers, they are able to streamline workflows and improve the quality of their findings.
Furthermore, the use of Sodium pyruvate, Antibiotic-antimitotic, and X-RAD 320 in research settings helps to ensure the reliability and consistency of their work.
The medical staff's dedication to patient safety, efficiency, and optimal outcomes is unparalleled.
They work tirelessly to ensure that the highest standards are met, utilizing their collective expertise to enhance the reproducibility and accuracy of medical research.
By leveraging the power of AI-driven platforms like PubCompare.ai, the medical staff can effortlessly locate protocols from literature, pre-prints, and patents, and utilize AI-driven comparisons to identify the best protocols and products for their research needs, ultimately streamlining their workflow and improving the quality of their findings.
The medical staff's role in the healthcare industry is truly indispensable.
Their commitment to excellence, their ability to collaborate effectively, and their willingness to embrace innovative technologies and techniques are all crucial factors in advancing the field of medicine and improving patient outcomes.
Whether working with FBS (Fetal Bovine Serum) or Antibiotic/antimytotic solutions, the medical staff's dedication to their craft is unparalleled.