Medical Health Management Research Articles

Discussion on the Construction and Development of Internet Hospital with "Internet+ Medical Health Management" in the New Era

Under the strategic background of "Healthy China 2030", hospitals use Internet+ to change their development thinking and establish an Internet hospital platform to provide people with more efficient and high-quality full-cycle medical and health management services, which is not only the focus of hospital construction at present, but also the long-term development direction in the future. Internet hospital mainly refers to providing patients with remote consultation, appointment registration, treatment of common diseases and other related services through the Internet. It has the qualification of medical institutions and can realize online and offline collaborative operation, effectively changing the traditional hospital service model. With the application of advanced technology, it can provide patients with life-cycle services, and even enjoy in-hospital medical treatment at home, which improves the level of medical services. This paper analyzes the construction points and related development of internet hospital with "Internet+ Medical Health Management" in the new era, hoping to provide some help to related work.

Pediatric Patients With Hemiplegia: A Systematic Review of a Randomized Controlled Trial.

Hemiplegia is the medical term for paralysis of one side of the body. It results in muscular wasting on the affected side, impairs gait, reduces motor abilities, and causes instabilityand a loss of grasping capacity. The patient's quality of life is impacted by hemiplegia because it impairs brain and spinal cord functions.Consequently, a range of therapeutic options, including physical therapy, medical health management, and other multidisciplinary care, are accessible. The effects of treatments on juvenile patients with hemiplegia who are participating in a randomized controlled trial (RCT) are examined in this systematic review.Using the Boolean operator "AND," the research process entailed searching for keywords like "Hemiplegia" and "Pediatrics." Based on the inclusion and exclusion criteria, a total of six RCTs were included in the study. According to the study's findings, hemiplegic patients benefited from Kinesio taping (KT), botulinum toxin type-A (BoNT-A), hyaluronic acid injections, and bimanual treatment.

Preventive online and offline health management intervention in polycystic ovary syndrome.

BACKGROUNDPolycystic ovary syndrome (PCOS) is characterized by hyperandrogenism, hyperinsulinemia, ovarian polycystic changes, and irregular ovulation, often occurring in women of childbearing age for whom it can be a cause of infertility. Hypothalamus-pituitary-ovarian axis dysregulation is important in the pathogenesis of PCOS and the associated chronic excess of sex hormones can lead to cardiovascular and cerebrovascular diseases, diabetes, and malignancies such as endometrial cancer, and breast cancer. At present, most scholars agree that lifestyle interventions in conjunction with drug treatment can help PCOS patients achieve their goals of successful pregnancy and childbirth.AIMTo investigate the clinical effect of an online and offline (O2O) preventive health management model on PCOS with kidney deficiency and phlegm dampness.METHODSA total of 82 patients with PCOS of the kidney deficiency and phlegm dampness type who were admitted to Beijing Luhe Hospital Affiliated to Capital Medical University from April 2019 to June 2020 were randomly divided into two groups. The treatment group was treated with oral Diane-35 for 3 mo and received preventive O2O medical health management for 6 mo (including eating and living, exercise, drug management). The control group was treated with oral Diane-35 for 3 mo and completed outpatient health education. The traditional Chinese medicine (TCM) syndrome score, acne score, hair score, sex hormone level and clinical effects were compared between the two groups before and after the intervention.RESULTSAfter treatment, the TCM syndrome score, acne score, and serum luteinizing hormone/follicle stimulating hormone level were significantly lower in the treatment group than in the control group (P < 0.05). After 3 mo of treatment, the TCM syndrome curative effect index in the treatment group was 97.30% compared to 54.05% in the control group (P < 0.05), whereas the total treatment effect in the treatment group was 91.89%, compared to 54.05% in the control group (P < 0.05).CONCLUSIONAn integrated therapeutic approach incorporating medication, TCM methods and social media is more effective than standard treatment for PCOS.

Telemental Health Collaborative Care Medication Management: Implementation and Outcomes.

Introduction:Access to quality mental health medication management (MM) in the United States is limited, even among those with employment-based health insurance. This implementation, feasibility, and outcome study sought to design and evaluate an evidence-based telemental health MM service using a collaborative care model (CoCM).Materials and Methods:CoCM MM was available to adult employees/dependents through their employer benefits, in addition to therapy. Outcomes included Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder-7 (GAD-7) collected at baseline and throughout participation. This analysis was not deemed to be human subjects research by the Western Institutional Review Board.Results:Over 17 months, 212 people enrolled and completed >2 assessments; the enrollees were 58.96% female with average age of 32.00 years (standard deviation [SD] = 7.38). In people with moderate to severe depression or anxiety, PHQ-9 and GAD-7 scores reduced by an average of 7.27 (SD = 4.80) and 6.71 (SD = 5.18) points after at least 12 ± 4 weeks in the program. At 24 ± 4 weeks, the PHQ-9 and GAD-7 reductions were on average 7.17 (SD = 5.00) and 6.03 (SD = 5.37), respectively. Approximately 65.88% of participants with either baseline depression or anxiety had a response on either the PHQ-9 or GAD-7 at 12 ± 4 weeks and 44.71% of participants experienced remission; at 24 ± 4 weeks, 56.41% had response and 41.03% experienced remission.Conclusions:An evidence-based CoCM telemedicine service within an employee behavioral health benefit is feasible and effective in reducing anxiety and depression symptoms when using measurement-based care. Widespread implementation of a benefit like this could expand access to evidence-based mental health MM.

The study of prevalence and factors affecting Anaplasma maginale infection in domestic goats in Chonburi province, Thailand

The objective of this study was to determine the prevalence and factors affecting Anaplasma marginale infection of goat farming in Chonburi province, Thailand. A total of 182 samples were collected from clinical services records from the Veterinary Teaching Hospital, Rajamangala University of Technology Tawan-ok. Moreover, the potential risk factors of A. marginale infection, including vectors infestation, barn-types, preventive medicine protocols using vector-control agents and/or deworming programs, and the farming areas were statistically analyzed. The results revealed that 24.7% of goats were positive for A. marginale infection. The Nhong Yai district had the highest infection rate at 34.1% (15/44). The Mueng, Chonburi and Sri Racha district goats were infected at the rate of 27.5% (11/40) and 24.3% (9/37), respectively. The potential significant factors affecting A. marginale infection were vectors infestation (P &lt; 0.01) and preventive medicine protocols using vector-control agents and/or deworming programs (P &lt; 0.05). In conclusion, the vectors infestation increases the chance of A. marginale infection. Conversely, appropriate consistent preventive medical health management by application of vector-control agents and/or deworming programs can reduce the likelihood of infection. Our study could serve as a guideline for prevention planning and for further study of livestock rearing behavior concerning infection of blood parasites in nearby areas

Sequential Prediction of Glycosylated Hemoglobin Based on Long Short-Term Memory with Self-Attention Mechanism

Type 2 diabetes mellitus (T2DM) has been identified as one of the most challenging chronic diseases to manage. In recent years, the incidence of T2DM has increased, which has seriously endangered people’s health and life quality. Glycosylated hemoglobin (HbA1c) is the gold standard clinical indicator of the progression of T2DM. An accurate prediction of HbA1c levels not only helps medical workers improve the accuracy of clinical decision-making but also helps patients to better understand the clinical progression of T2DM and conduct self-management to achieve the goal of controlling the progression of T2DM. Therefore, we introduced the long short-term memory (LSTM) neural network to predict patients’ HbA1c levels using time sequential data from electronic medical records (EMRs). We added the self-attention mechanism based on the traditional LSTM to capture the long-term interdependence of feature elements and which ensure that the memory was more profound and effective, and used the gradient search technology to minimize the mean square error of the predicted value of the network and the real value. LSTM with the self-attention mechanism performed better than the traditional deep learning sequence prediction method. Our research provides a good reference for the application of deep learning in the field of medical health management.

An intelligent gastric cancer screening method based on convolutional neural network and support vector machine

The continuous development of modern information technologies such as Internet and cloud computing leads to unprecedented explosive growth of global data volume. The rapid convergence of massive multi-source heterogeneous data provides a driving force for the continuous development of artificial intelligence. The application of big data and artificial intelligence in the medical health field can not only greatly improve efficiency of medical health management services but also effectively promote the renewal and development of medical knowledge and technology. However, intelligent screening of gastric cancer is less concerned in this study. In view of this, this paper proposes an intelligent gastric cancer screening method based on convolutional neural network and support vector machine, and makes empirical analysis of gastroscopy data from the First Affiliated Hospital of Anhui Medical University, further conforming good diagnosis accuracy of this method.

Deep Learning in the Biomedical Applications: Recent and Future Status

Deep neural networks represent, nowadays, the most effective machine learning technology in biomedical domain. In this domain, the different areas of interest concern the Omics (study of the genome—genomics—and proteins—transcriptomics, proteomics, and metabolomics), bioimaging (study of biological cell and tissue), medical imaging (study of the human organs by creating visual representations), BBMI (study of the brain and body machine interface) and public and medical health management (PmHM). This paper reviews the major deep learning concepts pertinent to such biomedical applications. Concise overviews are provided for the Omics and the BBMI. We end our analysis with a critical discussion, interpretation and relevant open challenges.

Implementation of Behavioural and Medical Health Management Applications: Reducing High Intensity Medicaid Services Utilization for Individuals with Serious Mental Illness

Health challenges for persons with serious mental illness and comorbid medical conditions are related to application design and usability. An application suite to improve community care was deployed in the community services division of South Beach Psychiatric Center, a large state-run facility in New York, USA. The association between the use of the Medicaid utilization application and changes in the use of Medicaid publicly paid medical inpatient and emergency services was evaluated. A Generalized Linear Mixed Model (GLMM) was developed and applied to assess for longitudinal (5-year) reductions in utilization, the impact of colocation of behavioural and medical health services, and the effects of intra subject correlation, zero inflation, and over-dispersion in the data. Significant reductions in the use of Medicaid paid inpatient and emergency services were observed. Colocation of services was not significant. Significant effects for intra subject correlation and zero inflation were obtained and accounted for in the model.

Influences of the network medical health management on the coping styles, hope level and quality of life in patients with primary kidney cancer surgery

Objective To explore the influences of the network medical health management on the coping styles, hope level and quality of life in patients with primary kidney cancer surgery. Methods The patients of control group received normal health management and the participants included 77 kidney cancer patients who were laboratory diagnosed during March 2011 and September 2012. The patients of intervention group received the network medical health management based on the normal health management and the participants included 79 kidney cancer patients who were laboratory diagnosed during March 2013 and September 2014. The coping styles, hope level and quality of life before and after the intervention were compared between the two groups. Results Before the intervention, the coping styles and the hope level had no statistical differences between the two groups (P>0.05). After the intervention for the coping styles, the intervention group had higher scores of the positive coping style (25.44±2.61) and lower scores of the negative coping style (9.76±1.89) and presented statistical differences compared with that of the control group (t=-10.468, 7.572; P 0.05); however, after intervention, the intervention group had higher scores of positive attitudes (14.5±2.6), positive behaviors (15.1±2.4) and close contact with people (15.6±2.1), and presented statistical differences with that of the control group (t=4.965, 5.569, 4.965; P 0.05) but the intervention group performed better on other 12 dimensions′ scores (P<0.05); the quality of life in the intervention group was better than that of control group. Conclusions The network medical health management should be further applied to the clinical practice, because it can significantly improve the coping styles, hope level and quality of life among the patient with primary kidney cancer surgery. Key words: Health management; Quality of life; Hope level; Network medicine; Coping style