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Cluster headache (CH) is a common primary headache that severely impacts patients' quality of life, characterized by recurrent, severe, unilateral headaches often centered around the eyes, temples, or forehead. Distinguishing CH from other headache disorders is challenging, and its pathogenesis remains unclear. Notably, patients with CH often experience high levels of depression and suicidal tendencies, necessitating increased clinical attention. This comprehensive assessment combines various reports and the latest scientific literature to evaluate the current state of CH research. It covers epidemiology, population characteristics, predisposing factors, and treatment strategies. Additionally, we provide strategic insights into the holistic management of CH, which involves continuous, individualized care throughout the prevention, treatment, and rehabilitation stages. Recent advances in the field have revealed new insights into the pathophysiology of CH. While these findings are still evolving, they offer a more detailed understanding of the neurobiological mechanisms underlying this disorder. This growing body of knowledge, alongside ongoing research efforts, promises to lead to the development of more targeted and effective treatments in the future.

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This study examined the role of Total Quality Management (TQM) practices, specifically continuous improvement, customer focus, process management, and employee engagement, in advancing sustainability and enhancing customer satisfaction in the telecommunications sector, focusing on three firms in Gulf Cooperation Council (GCC) countries. Secondary quantitative data from quarterly reports (2019-2023) were analyzed using descriptive, correlation, and regression methods with STATA software.•The findings indicated an increase in net promoter score over the study period, reflecting firms' commitment to addressing changing customer needs.•Employee engagement and process management had a positive and statistically significant effect on customer satisfaction.•Integrating TQM practices to enhance customer satisfaction in telecommunications.

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This manuscript introduces a multimedia business process dataset provided by a German research institute. The dataset was systematically collected in a laboratory environment that reflects the workspace of IT staff managing IT Asset Management (ITAM) processes. It encompasses data from 121 process instances across six basic processes, captured using 37 video recordings from two camera perspectives, motion tracking, environmental sensors, an ITAM system trace, and event log data from user interactions. The data is made available in its raw state and processed form. The object-centric event log format (OCEL) provides discrete business process events from system activities. Event data from reality is supplied as raw video files and logs from environmental sensors. The video files were also manually labelled with identifiable business process activities and their associated entities. This multimedia dataset has been designed as a resource for developing, training, and evaluating process mining techniques based on unstructured data. Consequently, the dataset design emphasizes the traceability of activities and entities across the multimedia data sources.

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Objective: To evaluate the effectiveness of monitoring and managing process quality control indicators in the prevention of constipation among hospitalized patients with acute coronary syndrome (ACS). Methods: A total of 512 hospitalized patients diagnosed with ACS between January and June 2022 were screened for inclusion in the study. Ultimately, 456 eligible participants were enrolled and divided into two groups based on the chronological order of admission: the control group and the observation group. Upon admission, both groups of patients received routine constipation prevention measures in the department. However, the observation group was subjected to targeted process quality control management, which included monitoring and managing five indicators related to constipation prevention: correctness of bowel movement recording; usage rate of laxatives; execution rate of physical interventions; implementation rate of constipation prevention education; completion rate of dietary structure and habit assessments. Data were analyzed using SPSS, with t tests and χ 2 tests for group comparisons. Results: In comparison to the control group, the observation group demonstrated significant advantages in terms of constipation incidence, completion rates of the five process quality control indicators, occurrence rates of adverse cardiac events during defecation, and PHQ-9 scores before discharge. These disparities demonstrated statistical significance with a p value < 0.05. Conclusion: Target-oriented process quality control management is shown to be effective in reducing constipation incidence and adverse cardiac events during constipation episodes, as well as alleviating depressive symptoms among ACS patients, thus providing a safe and effective approach to constipation prevention.

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Background: The global shift from open esophagectomy (OE) to minimally invasive esophagectomy (MIE) for treating esophageal cancer is well-established. Recent data indicate that transitioning from hybrid minimally invasive esophagectomy (hMIE) to total minimally invasive esophagectomy (tMIE) can be challenging due to concerns about higher leakage rates and lower lymph node counts, especially at the beginning of the learning curve. This study aimed to demonstrate that a safe transition from OE to tMIE for cancer is possible using process management methodology. Methods: A step-change approach was adopted in process management planning, with hMIE serving as an intermediate step between OE and tMIE. This single-center, case-control study included 150 patients who underwent the Ivor Lewis procedure with curative intent for esophageal cancer. Among these patients, 50 underwent OE, 50 hMIE (laparoscopic procedure followed by conventional right thoracotomy), and 50 tMIE (laparoscopic and thoracoscopic approach). A preceptored training scheme was implemented during execution, and treatment results were monitored and controlled to ensure a safe transition. Results: During the transition, the tMIE group was not worse than the hMIE and OE groups regarding operation duration (p = 0.135), overall postoperative complications (p = 0.020), anastomotic leakage rates (p = 0.773), 30-day mortality (p = 1.0), and oncological outcomes (based on R status (p = 0.628) and 2-year survival (p = 0.967)). Additionally, the tMIE group showed superior results in terms of major postoperative pulmonary complications (p = 0.004) and ICU stay duration (p < 0.001). Conclusions: Utilizing managerial methodology and practice in surgery, as a bridge between interdisciplinary and transdisciplinary approaches, demonstrated that transitioning from OE to tMIE, with hMIE as an intermediate step, is safe and feasible without compromising outcomes.

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Abstract: Most process mining techniques are primarily automated, meaning that process analysts input information and receive output. As a result, process mining techniques function like black boxes with limited interaction options for analysts, such as simple sliders for filtering infrequent behavior. Recent research tries to break these black boxes by allowing process analysts to provide domain knowledge and guidance to process mining techniques, i.e., hybrid intelligence. Especially, in process discovery-a critical type of process mining-interactive approaches emerged. However, little research has investigated the practical application of such interactive approaches. This paper presents a case study focusing on using incremental and interactive process discovery techniques in the healthcare domain. Though healthcare presents unique challenges, such as high process execution variability and poor data quality, our case study demonstrates that an interactive process mining approach can effectively address these challenges.

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The introduction of the Industrial Internet of Things (IIoT) has led to major changes in the industry. Thanks to machine data, business process management methods and techniques could also be applied to them. However, one data source has so far remained untouched: The network data of the machines. In the business environment, process mining, for example, has already been carried out based on network data, but the IIoT, with its particular protocols such as OPC UA, has yet to be investigated. With the help of design science research and on the shoulders of CRISP-DM, we first develop a framework for process mining in the IIoT in this paper. We then apply the framework to real-world IIoT network traffic data and evaluate the outcome and performance of our approach in detail. We find tremendous potential in network traffic data but also limitations. Among other things, due to the dependence on process experts and the existence of case IDs.

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China's carbon emission trading policy plays a crucial role in achieving both its "3060" dual carbon objectives and the United Nations Sustainable Development Goal 13 (SDG 13) on climate action. The policy's effectiveness in reducing pollution and mitigating carbon emissions holds significant importance. This paper investigated whether China's carbon emission trading policy affects pollution reduction (PM2.5 and SO2) and carbon mitigation (CO2) in pilot regions, using panel data from 30 provinces and municipalities in China from 2005 to 2019 and employing a multi-period difference-in-differences (DID) model. Furthermore, it analyzed the heterogeneity of carbon market mechanisms and regional variations. Finally, it examined the governance pathways for pollution reduction and carbon mitigation from a holistic perspective. The results indicate that: (1) China's carbon emission trading policy has reduced CO2 emissions by 18% and SO2 emissions by 36% in pilot areas, with an immediate impact on the "carbon mitigation" effect, while the "pollution reduction" effect exhibits a time lag. (2) Higher carbon trading prices lead to stronger "carbon mitigation" effect, and larger carbon market scales are associated with greater "pollution reduction" effects on PM2.5. Governance effects on pollution reduction and carbon mitigation vary among pilot regions: Carbon markets of Beijing, Chongqing, Shanghai, and Tianjin show significant governance effects in both "pollution reduction" and "carbon mitigation", whereas Guangdong's carbon market exhibits only a "pollution reduction" effect, and Hubei's carbon market demonstrates only a "carbon mitigation" effect. (3) Currently, China's carbon emission trading policy achieves pollution reduction and carbon mitigation through "process management" and "end-of-pipe treatment". This study could provide empirical insights and policy implications for pollution reduction and carbon mitigation, as well as for the development of China's carbon emission trading market.

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BACKGROUND: The use of triage systems such as the Manchester Triage System (MTS) is a standard procedure to determine the sequence of treatment in emergency departments (EDs). When using the MTS, time targets for treatment are determined. These are commonly displayed in the ED information system (EDIS) to ED staff. Using measurements as targets has been associated with a decline in meeting those targets. OBJECTIVE: This study investigated the impact of displaying time targets for treatment to physicians on processing times in the ED. METHODS: We analyzed the effects of displaying time targets to ED staff on waiting times in a prospective crossover study, during the introduction of a new EDIS in a large regional hospital in Germany. The old information system version used a module that showed the time target determined by the MTS, while the new system version used a priority list instead. Evaluation was based on 35,167 routinely collected electronic health records from the preintervention period and 10,655 records from the postintervention period. Electronic health records were extracted from the EDIS, and data were analyzed using descriptive statistics and generalized additive models. We evaluated the effects of the intervention on waiting times and the odds of achieving timely treatment according to the time targets set by the MTS. RESULTS: The average ED length of stay and waiting times increased when the EDIS that did not display time targets was used (average time from admission to treatment: preintervention phase=median 15, IQR 6-39 min; postintervention phase=median 11, IQR 5-23 min). However, severe cases with high acuity (as indicated by the triage score) benefited from lower waiting times (0.15 times as high as in the preintervention period for MTS1, only 0.49 as high for MTS2). Furthermore, these patients were less likely to receive delayed treatment, and we observed reduced odds of late treatment when crowding occurred. CONCLUSIONS: Our results suggest that it is beneficial to use a priority list instead of displaying time targets to ED personnel. These time targets may lead to false incentives. Our work highlights that working better is not the same as working faster.

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The AUD2IT-algorithm is a tool to structure the data, which is collected during an emergency treatment. The goal is on the one hand to structure the documentation of the data and on the other hand to give a standardised data structure for the report during handover of an emergency patient. AUD2IT-algorithm was developed to provide residents a documentation aid, which helps to structure the medical reports without getting lost in unimportant details or forgetting important information. The sequence of anamnesis, clinical examination, considering a differential diagnosis, technical diagnostics, interpretation and therapy is rather an academic classification than a description of the real workflow. In a real setting, most of these steps take place simultaneously. Therefore, the application of the AUD2IT-algorithm should also be carried out according to the real processes. A big advantage of the AUD2IT-algorithm is that it can be used as a structure for the entire treatment process and also is entirely usable as a handover protocol within this process to make sure, that the existing state of knowledge is ensured at each point of a team-timeout. PR-E-(AUD2IT)-algorithm makes it possible to document a treatment process that, in principle, does not have to be limited to the field of emergency medicine. Also, in the outpatient treatment the PR-E-(AUD2IT)-algorithm could be used and further developed. One example could be the preparation and allocation of needed resources at the general practitioner. The algorithm is a standardised tool that can be used by healthcare professionals of any level of training. It gives the user a sense of security in their daily work.

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Objective To construct a scientific and practical management model of the hospice and palliative care outpatient clinic and provide a reference for the operation and development of the outpatient clinic. Methods The basic framework of the whole process management model of hospice and palliative care outpatient clinic was determined preliminarily by literature analysis,qualitative interviews and experts group meetings.Two rounds of consultation were conducted among 18 experts in hospice and palliative care and medical-nursing combined outpatient service by the Delphi method. Results The questionnaire response rates of the two rounds of expert consultation were both 100% and the authority coefficients of the two rounds of expert consultation were 0.88 and 0.91,respectively.Finally,the whole process management model of hospice and palliative care outpatient clinic was constructed,which was composed of three first-level indicators including staff composition,work structure and effect evaluation,5 second-level indicators and 62 third-level indicators. Conclusion The constructed whole process management model is scientific,innovative and continuous,which can provide a reference for the operation and development of the hospice and palliative care outpatient clinic.

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Malignant tumors have surpassed stroke and coronary heart disease to become the main cause of death before the age of 70 in the world. The incidence of malignant tumors is increasing year by year， which seriously affects the living standards and social and economic development of Chinese people. Surgery， radiotherapy， chemotherapy， targeted therapy， and immunotherapy are the main means of Western medicine to intervene in tumors， which are of great significance for prolonging the survival time of patients. However， there are many disadvantages such as adverse reactions and drug resistance. Traditional Chinese medicine has become a research hotspot in recent years because of its definite curative effect and wide application in tumor treatment. Xiao Chaihutang is derived from the Treatise on Febrile and Miscellaneous Diseases. It is composed of Bupleuri Radix， Scutellariae Radix， Ginseng Radix， Pinelliae Rhizoma， Glycyrrhizae Preparata Radix， Ginger， and Jujube. It has the effects of reconciling Shaoyang， reconciling cold and heat Yin and Yang， soothing the liver， and relieving depression. This prescription and the prescriptions based on it are widely used in various stages of tumors. This study summarized the Chinese and foreign research of Xiao Chaihutang in the field of tumors in the past 10 years and explored the role and mechanism of Xiao Chaihutang in blocking precancerous lesions， controlling the development of malignant tumors， reducing the occurrence of adverse reactions after intervention， and alleviating common complications， with a view to expanding the clinical medication ideas.

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Objective To study the labor process management and perinatal outcome in full-term pregnant women colonized with group B streptococcus.Methods The clinical data of 355 full-term pregnant women with positive GBS screening(the positive GBS group)and 355 full-term pregnant women with negative GBS screening(the negative GBS group)from October 2020 to November 2021,in the department of obstetrics and gynecology of the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical Uni-versity were collected.The labor characteristics,duration of rupture of membranes and perinatal outcome were compared between the two groups.Results In the positive GBS group,the incidences of intrapartum fever,postpartum fever,hospital stays,histological chorioam-nionitis,neonatal admission to neonatal intensive care unit(NICU),and neonatal sepsis were higher than those in the negative GBS group(P＜0.05).There was no significant difference between the two groups with mode of initiation of labor,mode of delivery,premature rup-ture of membrane,clinical chorioamnionitis,duration of rupture of membranes,the first stage of labor,the active stage,the second stage of labor,birth weight of newborn,gender of newborn,fetal distress,and neonatal jaundice(P＞0.05).According to the difference of in-terval between rupture of the fetal membranes,the positive GBS group was divided into three groups:＜12 hours group,≥12 and＜24 hours group,and ≥ 24 hours group.The＜12 hours group was selected as the control group.In the ≥ 12 and＜24 hours group,the first stage of labor,active stage,second stage of labor,and hospital stay were longer than those in the control group.The incidence of prema-ture rupture of membranes of term and forceps delivery was higher than that in the control group(P＜0.05).In the ≥ 24 hours group,the first stage of labor,second stage of labor,and hospital stay were longer than those in the control group.The incidence of premature rup-ture of membranes of term,intrapartum fever,postpartum fever,histological chorioamnionitis,and cesarean section was higher than that in the control group(P＜0.05).In the GBS positive group,there was no significant difference between neonatal sepsis and neonatal no-sepsis of mode of initiation of labor,mode of delivery,type of rupture of membranes,histological chorioamnionitis,duration of rupture of membranes,and duration of labor(P＞0.05).Conclusion The labor process is not affected by GBS.However,GBS increases the risk of maternal and infant infection.The full-term women colonized with group B streptococcus delivery within 24 hours after rupture of membranes,which can shorten labor,reduce labor complications,and improve adverse perinatal outcomes.

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Objective To explore the application effect of enteral nutrition-related diarrhea in postoperative esophageal cancer patients.Methods Based on literature search and expert meeting,a management process for enteral nutrition-associated diarrhea in postoperative esophageal cancer patients was constructed.A convenience sampling method was used to select a total of 68 patients with enteral nutrition-related diarrhea after esophageal cancer surgery admitted to the thoracic surgery department of a tertiary A cancer hospital in Jiangsu Province.Among them,patients admitted from January 2022 to December 2022 were set as an experimental group.The experimental group was implemented the management process for enteral nutrition-associated diarrhea in postoperative esophageal cancer patients.Those admitted from January 2021 to December 2021 were set as a control group with routine nursing.Then,the time of stopping diarrhea,the King's of Stool Chart(KSC-Tr)diarrhea score,and abnormal incidence of nutrition-related indexes,electrolytes abnormalities(low sodium,low potassium,and low calcium)were compared between 2 groups.Results The time of stopping diarrhea,KSC diarrhea score after 3 days of intervention and the time to achieve target feeding volume of the experimental group were lower than those in the control group,and the difference was statistically significant(P＜0.05).There were no significant differences in hemoglobin,albumin,prealbumin after 3 days of intervention,the incidence of electrolyte abnormalities(low sodium,low potassium,and low calcium)after 3 days of intervention,and the BMI index after 7 days of intervention between 2 groups(P＞0.05).Conclusion The management process for enteral nutrition-associated diarrhea in postoperative esophageal cancer patients can reduce the time of diarrhea,improve the severity of diarrhea,and shorten the time to achieve the target feeding,but has no significant change in the incidence of electrolyte abnormalities.

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【Objective】 To explore the clinicopathological characteristics and comprehensive treatment strategies of prostate mucosa adenocarcinoma under multidisciplinary diagnosis and treatment (MDT) mode. 【Methods】 Data of two patients with typical prostate mucosa adenocarcinoma treated in our hospital during Sep.2020 and Apr.2023 were retrospectively analyzed. 【Results】 In case 1, the clinical manifestation was macroscopic hematuria; multiparametric magnetic resonance imaging (mpMRI) indicated solid prostatic nodules, clinical stage T4N1Mx; initial prostate specific antigen (PSA) was 1.2 ng/mL; 6868Ga-prostate specific membrane antigen PET/CT (68Ga-PSMA PET/CT) suggested abnormal uptake of nuclear lesions in the prostate (SUV4.2-5.3); biopsy results indicated invasive mucinous adenocarcinoma.After prostate and pelvic field radiotherapy + androgen deprivation therapy (ADT) + antihypertensive treatment, lesions were significantly reduced, and hematuria symptoms were relieved.In case 2, the clinical manifestation was dysuria; initial PSA was 91.78 ng/mL; mpMRI suggested invasion of prostate mass into the bladder and clinical stage of T4N1M1b; 68Ga-PSMA PET/CT indicated prostate and pelvic lymph nodes, and multiple bone lesions showed increased nuclide uptake; biopsy results indicated prostate adenocarcinoma with mucinous adenocarcinoma.Initial endocrine treatment was performed.After 3 months, PSA was reduced to 0.083 ng/mL, and imaging showed the tumor was significantly reduced.Robotic-assisted laparoscopic tumor prostatectomy with extended pelvic lymph node dissection was performed, and endocrine adjuvant therapy was continued after surgery. 【Conclusion】 Prostate mucosa adenocarcinoma has different clinicopathological characteristics and prognosis from conventional acinar adenocarcinoma, and the whole-process management under MDT mode is of great value in the diagnosis and treatment of this disease.

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More and more clinical research projects are carried out in research hospitals.Through the multi-angle and whole-process quality control of the clinical research conducted by the research hospitals， including pre-project establishment， implementation， and post-completion， it can timely identify risks or potential risk factors in the clinical research， evaluate and solve quality problems in real-time， and avoid the possibility of major clinical research problems.Through whole-process quality control， research hospitals identify problems timely and proactively， establish coordination mechanisms， optimize the communication process， reduce the occurrence of research project quality problems， continuously improve the quality management systems of clinical research， ensure that research is compliant， data is complete and accurate， as well as improve the reliability of research conclusions.

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At present， there is no consensus on the diagnosis， treatment， and management of pulmonary nodules with integrated traditional Chinese and Western Medicine in China. To establish the clinical management strategy of pulmonary nodules with integrated medicine， a consensus was formed after full discussion by the experts from the Cancer Committee of Chinese Association of Integrative Medicine and the Cancer Committee of Beijing Association of Chinese Medicine according to the guidelines for pulmonary nodules issued in recent years and the clinical practice of multiple hospitals in the treatment of cancers with integrated Chinese and Western medicine. This consensus involves the existing clinical management guidelines of pulmonary nodules and the intervention methods of traditional Chinese medicine （TCM）. Considering the therapeutic positioning and value of TCM， this consensus standardizes the whole-process management of pulmonary nodules with integrated traditional Chinese and Western medicine， which will help more patients.

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Objective:Based on the relevance risk analysis of medical equipment,to formulate process management strategies to improve the clinical operation efficiency of medical equipment.Methods:The risk matrix was evaluated from the perspectives of subject,quality,environment,system and diagnosis and treatment perspective,the comprehensive evaluation model of relevance risk was established,and multiple process management countermeasures were formulated.400 sets of medical equipment in clinical use in Shanghai Eighth People's Hospital from April 2021 to March 2022 were selected and divided into the control group and the observation group by the digital table method,with 200 sets in each group.The control group adopted the individualized risk analysis method for process management,and the observation group adopted the relevance risk analysis method for process management.The risk level and operation benefits of the two groups of medical equipment were compared and analyzed.Results:The high risk rates of medical imaging diagnostic and auxiliary equipment,surgical treatment equipment,life support and first aid equipment,extracorporeal circulation and blood processing equipment,health monitoring and rehabilitation equipment in the observation group were 17.39%(4/23),14.58%(7/28),12.24%(6/49),5.55%(1/18)and5.06%(5/62),respectively,which were lower than those in the control group,the difference was statistically significant(x2=4.132,4.009,6.275,4.833,4.859,P<0.05).The scores of cost benefit,social benefit,diagnosis and treatment benefit and development benefit of medical equipment in the observation group were(91.37±6.15)points,(92.78±3.80)points,(95.25±2.09)points and(90.51±3.82)points,respectively,which were higher than those in the control group,the difference was statistically significant(t=2.392,3.877,4.841,2.504,P<0.05).Conclusion:The relevance risk analysis method can reduce the probability and hazard degree of medical equipment safety risks,improve the clinical operation efficiency of medical equipment,and the process management strategy is in line with the actual needs of the medical equipment lifecycle management.

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Objective:To construct a reliability management index system of cardiology medical equipment supply,to form a reliability evaluation strategy,and to improve the effectiveness of reliability management.Methods:13 supply management items were decomposed from the three links of spare parts before use,tracking during use and post-use processing of 126 medical equipment,and the probability of work error,probability of quality problems and risk expectation of diagnosis and treatment were evaluated in the whole process management,and the whole-process management countermeasures of grading and stratification,quality standardization and department cooperation was formed.2,000 pieces(sets)of medical equipment used in The People's Hospital of Longhua from 2021 to 2022 were selected by random sampling method,and the department cooperative management[referred to as collaborative management mode,1,000 pieces(sets)times]and reliability evaluation management[referred to as evaluation management mode,1,000 pieces(sets)times]were adopted respectively.The reliability and satisfaction of medical equipment under different management modes were compared.Results:The work error probabilities of pre-use spare parts,in-use tracking,post-use processing and supply of medical equipment adopting evaluation management mode were(4.74±2.19)%,(4.39±1.85)%,(5.75±1.88)%and(8.29±1.30)%,respectively,which were lower than the collaborative management mode,the difference was statistically significant(t=5.367,5.663,5.432,6.847;P<0.05);the probabilities of quality problems were(4.13±1.67)%,(3.89±1.25)%,(5.28±1.84)%and(7.64±1.18)%,respectively,which were lower than the collaborative management mode,the difference was statistically significant(t=6.504,6.229,5.123,6.166,P<0.05);the risk expectations of diagnosis and treatment were(2.74±0.89)%,(2.47±0.96)%,(3.42±0.95)%and(4.02±1.09)%,respectively,which were lower than the collaborative management mode,the difference was statistically significant(t=7.027,6.509,8.915,9.266,P<0.05).The satisfaction of the relevant staff on the performance quality,sterilization specifications,supply timeliness,level of collaboration and safety of the medical equipment adopting the evaluation management mode were(93.54±4.65)%,(91.67±4.11)%,(94.58±4.34)%,(92.39±3.82)%and(90.97±3.76)%,respectively,which were higher than the collaborative management mode,the difference was statistically significant(t=2.809,3.030,2.843,4.939,3.739,P<0.05).Conclusion:The reliability management model can reduce the work errors and security risks in medical equipment supply,improve the reliability of supply and improve the quality of supply service.

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Self-care of patients with chronic noncommunicable diseases is an essential component of contemporary healthcare. The purpose of this paper is to present a novel self-care process model and place it in the broader context of professional care. The extended Event-driven Process Chain approach to process modelling was used, focusing on a detailed overview of sequences of events, connections and activities and other elements/building blocks. A self-care process model was designed. The model is divided into two parts. The first part represents the self-care process when patients are able to manage their symptoms and be independent. The second part includes the process when patients are unable to perform self-care and/or need professional support. By identifying the essential elements of this process and incorporating them into the patients' care process, we can ensure that professional support for self-care creates a dynamic balance in the patients' ecosystems. Patients with chronic noncommunicable diseases need to make timely decisions about individual aspects of their health and seek professional help. In this way, an optimal level of health and well-being of patients can be achieved. Focusing on the patients' self-care process could also reduce treatment costs and improve the quality of life of patients. The novel designed model of the process of self-care, with all its essential elements, can be supported by digital technology, especially in the decision-making process and needs to become an important part of healthcare and long-term care systems.