With the rapid development of information technology,the electronifi-cation of medical records has gradually become a trend.In China,the population base is huge and the supporting medical institutions are numerous,so ...With the rapid development of information technology,the electronifi-cation of medical records has gradually become a trend.In China,the population base is huge and the supporting medical institutions are numerous,so this reality drives the conversion of paper medical records to electronic medical records.Electronic medical records are the basis for establishing a smart hospital and an important guarantee for achieving medical intelligence,and the massive amount of electronic medical record data is also an important data set for conducting research in the medical field.However,electronic medical records contain a large amount of private patient information,which must be desensitized before they are used as open resources.Therefore,to solve the above problems,data masking for Chinese electronic medical records with named entity recognition is proposed in this paper.Firstly,the text is vectorized to satisfy the required format of the model input.Secondly,since the input sentences may have a long or short length and the relationship between sentences in context is not negligible.To this end,a neural network model for named entity recognition based on bidirectional long short-term memory(BiLSTM)with conditional random fields(CRF)is constructed.Finally,the data masking operation is performed based on the named entity recog-nition results,mainly using regular expression filtering encryption and principal component analysis(PCA)word vector compression and replacement.In addi-tion,comparison experiments with the hidden markov model(HMM)model,LSTM-CRF model,and BiLSTM model are conducted in this paper.The experi-mental results show that the method used in this paper achieves 92.72%Accuracy,92.30%Recall,and 92.51%F1_score,which has higher accuracy compared with other models.展开更多
Background: Achieving the long terms goals of antiretroviral treatment (ART) requires a careful approach during treatment initiation that takes into account patient’s psychosocial state, availability and accessibilit...Background: Achieving the long terms goals of antiretroviral treatment (ART) requires a careful approach during treatment initiation that takes into account patient’s psychosocial state, availability and accessibility of treatment combinations, and adherence support. Adverse drug reactions that occur during the initial phases have a bearing on treatment outcomes and thus need to be monitored and treated. Objective: This study was done to assess length of time (survival time) it took for clinically significant adverse drug reactions to occur in patients taking Nucleoside Reverse Transcriptase Inhibitors (N(t)RTI) available for treatment of Human Immunodeficiency Virus (HIV) infection in Zimbabwe. Methods: A retrospective cohort of patient data collected from January 2009 to December 2012 was extracted from an Electronic Health Record database. Data from patients who were initiated on antiretroviral (ARV) drug regimens containing N(t)RTI drugs were analysed for survival time. A sample of 205 patient files was extracted for the time period for survival analysis using adverse drug reactions due to N(t)RTI drugs. Results: After data extraction, a total of 205 patient records were used in determining the time to event analysis of ADR’s in the cohort. The age range for the patients included in the study was 9 - 76 with a mean of 41 years (s.d = 14.8). Patients initiated on stavudine had a lower survival time before a clinically significant ADR compared to tenofovir (-365 days, p-value < 0.0005). Patients on zidovudine also had a less time before a significant reaction compared to those on tenofovir (-230 days;p-value = 0.008). Patients on zidovudine fared better compared to those on stavudine (-134 days;p-value < 0.0005). The mean survival time was highest for tenofovir (618 days), followed by zidovudine (388 days), and then stavudine (254 days).Conclusion: Patients on tenofovir have a longer survival time before a clinically significant adverse reaction. Treatment programmes need to continue commencing patients on tenofovir containing regimens as patients can be maintained for longer periods on this regimen.展开更多
Patients with colorectal cancer (CRC) can have chemotherapy with oxaliplatin postoperatively. Oxaliplatin can cause acute and chronic neurotoxicity. It is important to be aware of neurotoxic side effects so they can b...Patients with colorectal cancer (CRC) can have chemotherapy with oxaliplatin postoperatively. Oxaliplatin can cause acute and chronic neurotoxicity. It is important to be aware of neurotoxic side effects so they can be documented and action taken at an early stage. The study aimed to identify and explore neurotoxic side effects documented in the medical records of patients with colorectal cancer treated with oxaliplatin-based adjuvant chemotherapy. Data in this study were medical records;presenting documentation about patients treated at the University Hospital in the south of Sweden between 2009 and 2010. A summative content analysis approach was used to explore the neurotoxic side effects. Identification and quantification of the content of medical records were carried out by using a study-specific protocol. “Cold sensitivity” and “tingling in the hands” were the most frequently documented neurotoxicity-related terms in the medical records. This identification was followed by interpretation. Three categories were identified in the interpretive part of the study: acute, chronic, and degree of neurotoxicity. The results show the importance of awareness of neurotoxic side effects so that they can be documented and action taken at an early stage. The documentation could be more reliable if patient-reported structured measurements were used, combined with free descriptions in the medical records. Being able to follow the progression of the symptoms during and after treatment would improve patient’s safety and also quality of life. The protocol that we developed and used in this review of medical records may be helpful to structure the documentation in the electronic system for documentation of neurotoxicity side effects.展开更多
基金This research was supported by the National Natural Science Foundation of China under Grant(No.42050102)the Postgraduate Education Reform Project of Jiangsu Province under Grant(No.SJCX22_0343)Also,this research was supported by Dou Wanchun Expert Workstation of Yunnan Province(No.202205AF150013).
文摘With the rapid development of information technology,the electronifi-cation of medical records has gradually become a trend.In China,the population base is huge and the supporting medical institutions are numerous,so this reality drives the conversion of paper medical records to electronic medical records.Electronic medical records are the basis for establishing a smart hospital and an important guarantee for achieving medical intelligence,and the massive amount of electronic medical record data is also an important data set for conducting research in the medical field.However,electronic medical records contain a large amount of private patient information,which must be desensitized before they are used as open resources.Therefore,to solve the above problems,data masking for Chinese electronic medical records with named entity recognition is proposed in this paper.Firstly,the text is vectorized to satisfy the required format of the model input.Secondly,since the input sentences may have a long or short length and the relationship between sentences in context is not negligible.To this end,a neural network model for named entity recognition based on bidirectional long short-term memory(BiLSTM)with conditional random fields(CRF)is constructed.Finally,the data masking operation is performed based on the named entity recog-nition results,mainly using regular expression filtering encryption and principal component analysis(PCA)word vector compression and replacement.In addi-tion,comparison experiments with the hidden markov model(HMM)model,LSTM-CRF model,and BiLSTM model are conducted in this paper.The experi-mental results show that the method used in this paper achieves 92.72%Accuracy,92.30%Recall,and 92.51%F1_score,which has higher accuracy compared with other models.
文摘Background: Achieving the long terms goals of antiretroviral treatment (ART) requires a careful approach during treatment initiation that takes into account patient’s psychosocial state, availability and accessibility of treatment combinations, and adherence support. Adverse drug reactions that occur during the initial phases have a bearing on treatment outcomes and thus need to be monitored and treated. Objective: This study was done to assess length of time (survival time) it took for clinically significant adverse drug reactions to occur in patients taking Nucleoside Reverse Transcriptase Inhibitors (N(t)RTI) available for treatment of Human Immunodeficiency Virus (HIV) infection in Zimbabwe. Methods: A retrospective cohort of patient data collected from January 2009 to December 2012 was extracted from an Electronic Health Record database. Data from patients who were initiated on antiretroviral (ARV) drug regimens containing N(t)RTI drugs were analysed for survival time. A sample of 205 patient files was extracted for the time period for survival analysis using adverse drug reactions due to N(t)RTI drugs. Results: After data extraction, a total of 205 patient records were used in determining the time to event analysis of ADR’s in the cohort. The age range for the patients included in the study was 9 - 76 with a mean of 41 years (s.d = 14.8). Patients initiated on stavudine had a lower survival time before a clinically significant ADR compared to tenofovir (-365 days, p-value < 0.0005). Patients on zidovudine also had a less time before a significant reaction compared to those on tenofovir (-230 days;p-value = 0.008). Patients on zidovudine fared better compared to those on stavudine (-134 days;p-value < 0.0005). The mean survival time was highest for tenofovir (618 days), followed by zidovudine (388 days), and then stavudine (254 days).Conclusion: Patients on tenofovir have a longer survival time before a clinically significant adverse reaction. Treatment programmes need to continue commencing patients on tenofovir containing regimens as patients can be maintained for longer periods on this regimen.
基金Linköping University Hospital Swedish Society of Nursing
文摘Patients with colorectal cancer (CRC) can have chemotherapy with oxaliplatin postoperatively. Oxaliplatin can cause acute and chronic neurotoxicity. It is important to be aware of neurotoxic side effects so they can be documented and action taken at an early stage. The study aimed to identify and explore neurotoxic side effects documented in the medical records of patients with colorectal cancer treated with oxaliplatin-based adjuvant chemotherapy. Data in this study were medical records;presenting documentation about patients treated at the University Hospital in the south of Sweden between 2009 and 2010. A summative content analysis approach was used to explore the neurotoxic side effects. Identification and quantification of the content of medical records were carried out by using a study-specific protocol. “Cold sensitivity” and “tingling in the hands” were the most frequently documented neurotoxicity-related terms in the medical records. This identification was followed by interpretation. Three categories were identified in the interpretive part of the study: acute, chronic, and degree of neurotoxicity. The results show the importance of awareness of neurotoxic side effects so that they can be documented and action taken at an early stage. The documentation could be more reliable if patient-reported structured measurements were used, combined with free descriptions in the medical records. Being able to follow the progression of the symptoms during and after treatment would improve patient’s safety and also quality of life. The protocol that we developed and used in this review of medical records may be helpful to structure the documentation in the electronic system for documentation of neurotoxicity side effects.
