Abstract
With the continuous development of internet information computing, the continuous improvement of medical and health systems, and the continuous increase of medical big data, traditional operating room care also needs to be further optimized. Medical big data is a forum data set for medical industry healthcare, electronic medical record information, clinical case record information, medical financial data, remote patient monitoring data, clinical decision support data, medical insurance data set, online consulting platform, and so on. Gastrointestinal tumors are currently one of the largest malignant tumors. Compared with ordinary patients, the presence of fear, depression, irritability, and other unhealthy emotions in patients with gastrointestinal tumors will reduce the therapeutic effect. Without careful care, the use of chemotherapy and other treatments makes patients vulnerable to various side effects. This article aims to study the use of medical big data intelligent algorithms to perform detailed care for patients during gastrointestinal tumor surgery and analyze the effects of care. This paper proposes an improved DNN algorithm; the DNN algorithm is to use several weight coefficient matrices and bias vectors to perform a series of linear operations and activation operations with the input value vector, starting from the input layer, backward calculation layer by layer, until the operation reaches the output layer, and the output result is obtained. This algorithm is used to study the theory, use mathematical formulas for method calculation and model design, and use the model to carry out detailed nursing experiments in the relevant operating room. The results of the experiment show that patients who have performed detailed care have a 27.2% improvement in treatment and rehabilitation effects than those who have not, and the level of detailed care has an obvious positive relationship with the rate of condition conversion. In the end, the hospital's detailed care quality evaluation index, which is QEI, increases by 1 point, which can increase the rate of condition conversion by 0.4.
Highlights
With the rapid development of medical information technology, disease prevention is more important than disease diagnosis and treatment
As an important part of the hospital, the operating room is an important place for the treatment of diseases. e effectiveness and safety of surgical treatment depend on the doctor’s surgical skills and on the quality and level of nursing work. e application of detailed nursing in the operating room can effectively reduce the impact of anesthetics and surgery on the patient, relieve the psychological pressure of the patient, improve the success rate of the patient’s surgery, and provide a guarantee for the Journal of Healthcare Engineering recovery of health after the operation
Research of Kenno et al showed that from the perspective of preserving anal function, the neoadjuvant treatment of imatinib mesylate is useful for large rectal gastrointestinal stromal tumors (GIST) [6]
Summary
Internet medical care has gradually been accepted and widely used by more and more people. Detailed nursing is a new type of superior nursing model It requires nurses in the operating room to have proficient professional qualities and strong psychological qualities and at the same time pay attention to the details of the work, minimize the risks, and ensure the safety of the patients during the hospitalization as much as possible. Rough joint development with hospitals, deep research in different types of hospitals such as cardiovascular and tumor, we constantly understand user needs and provide users with modular configuration solutions for different hospital levels and types, so as to achieve the perfect solution for user management needs, which can monitor the patient’s physical condition in real time during the operation. Medical big data analysis provides medical care for the public, raises the threshold of disease prevention, and truly simplifies precision medicine, medical care, and public health
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