MAIN BARRIERS FOR QUALITY DATA COLLECTION IN EHR - A Review
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paper_title: The use of routinely collected computer data for research in primary care: opportunities and challenges

paper_content:

INTRODUCTION ::: Routinely collected primary care data has underpinned research that has helped define primary care as a specialty. In the early years of the discipline, data were collected manually, but digital data collection now makes large volumes of data readily available. Primary care informatics is emerging as an academic discipline for the scientific study of how to harness these data. This paper reviews how data are stored in primary care computer systems; current use of large primary care research databases; and, the opportunities and challenges for using routinely collected primary care data in research. ::: ::: ::: OPPORTUNITIES ::: (1) Growing volumes of routinely recorded data. (2) Improving data quality. (3) Technological progress enabling large datasets to be processed. (4) The potential to link clinical data in family practice with other data including genetic databases. (5) An established body of know-how within the international health informatics community. ::: ::: ::: CHALLENGES ::: (1) Research methods for working with large primary care datasets are limited. (2) How to infer meaning from data. (3) Pace of change in medicine and technology. (4) Integrating systems where there is often no reliable unique identifier and between health (person-based records) and social care (care-based records-e.g. child protection). (5) Achieving appropriate levels of information security, confidentiality, and privacy. ::: ::: ::: CONCLUSION ::: Routinely collected primary care computer data, aggregated into large databases, is used for audit, quality improvement, health service planning, epidemiological study and research. However, gaps exist in the literature about how to find relevant data, select appropriate research methods and ensure that the correct inferences are drawn.
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paper_title: Informatics Challenges for the Impending Patient Information Explosion

paper_content:

As we move toward an era when health information is more readily accessible and transferable, there are several issues that will arise. This article addresses the challenges of information filtering, context-sensitive decision support, legal and ethical guidelines regarding obligations to obtain and use the information, aligning patient and health professionals' expectations in regard to the use and usefulness of the information, and enhancing data reliability. The authors discuss the issues and offer suggestions for addressing them.
---
paper_title: Informatics Challenges for the Impending Patient Information Explosion

paper_content:

As we move toward an era when health information is more readily accessible and transferable, there are several issues that will arise. This article addresses the challenges of information filtering, context-sensitive decision support, legal and ethical guidelines regarding obligations to obtain and use the information, aligning patient and health professionals' expectations in regard to the use and usefulness of the information, and enhancing data reliability. The authors discuss the issues and offer suggestions for addressing them.
---
paper_title: Medical Informatics: Improving Health Care Through Information

paper_content:

HEALTH CARE IS AN INFORMATIONbased science. Much of clinical practice involves gathering, synthesizing, and acting on information. Medical informatics is the field concerned with the management and use of information in health and biomedicine. This article focuses on the problems that motivate work in this field, the emerging solutions, and the barriers that remain. It also addresses the core themes that underlie all applications of medical informatics and unify the scientific approaches across the field. There is a growing concern that information is not being used as effectively as possible in health care. Recent reports from the Institute of Medicine have reviewed research findings related to information use and expressed concerns about medical errors and patient safety, the quality of medical records, and the protection of patient privacy and confidentiality. The latest Institute of Medicine report on this topic ties all these problems and potential solutions together in a vision for a health care system that is safe, patient-centered, and evidence-based. A variety of solutions is required to address the informationrelated problems in health care; many solutions involve the use of computers and computer-related technologies.
---
paper_title: 10 potholes in the road to information quality

paper_content:

Poor information quality can create chaos. Unless its root cause is diagnosed, efforts to address it are akin to patching potholes. The article describes ten key causes, warning signs, and typical patches. With this knowledge, organisations can identify and address these problems before they have financial and legal consequences.
---
paper_title: Definition, structure, content, use and impacts of electronic health records: A review of the research literature

paper_content:

Abstract Purpose This paper reviews the research literature on electronic health record (EHR) systems. The aim is to find out (1) how electronic health records are defined, (2) how the structure of these records is described, (3) in what contexts EHRs are used, (4) who has access to EHRs, (5) which data components of the EHRs are used and studied, (6) what is the purpose of research in this field, (7) what methods of data collection have been used in the studies reviewed and (8) what are the results of these studies. Methods A systematic review was carried out of the research dealing with the content of EHRs. A literature search was conducted on four electronic databases: Pubmed/Medline, Cinalh, Eval and Cochrane. Results The concept of EHR comprised a wide range of information systems, from files compiled in single departments to longitudinal collections of patient data. Only very few papers offered descriptions of the structure of EHRs or the terminologies used. EHRs were used in primary, secondary and tertiary care. Data were recorded in EHRs by different groups of health care professionals. Secretarial staff also recorded data from dictation or nurses’ or physicians’ manual notes. Some information was also recorded by patients themselves; this information is validated by physicians. It is important that the needs and requirements of different users are taken into account in the future development of information systems. Several data components were documented in EHRs: daily charting, medication administration, physical assessment, admission nursing note, nursing care plan, referral, present complaint (e.g. symptoms), past medical history, life style, physical examination, diagnoses, tests, procedures, treatment, medication, discharge, history, diaries, problems, findings and immunization. In the future it will be necessary to incorporate different kinds of standardized instruments, electronic interviews and nursing documentation systems in EHR systems. The aspects of information quality most often explored in the studies reviewed were the completeness and accuracy of different data components. It has been shown in several studies that the use of an information system was conducive to more complete and accurate documentation by health care professionals. The quality of information is particularly important in patient care, but EHRs also provide important information for secondary purposes, such as health policy planning. Conclusion Studies focusing on the content of EHRs are needed, especially studies of nursing documentation or patient self-documentation. One future research area is to compare the documentation of different health care professionals with the core information about EHRs which has been determined in national health projects. The challenge for ongoing national health record projects around the world is to take into account all the different types of EHRs and the needs and requirements of different health care professionals and consumers in the development of EHRs. A further challenge is the use of international terminologies in order to achieve semantic interoperability.
---
paper_title: 10 potholes in the road to information quality

paper_content:

Poor information quality can create chaos. Unless its root cause is diagnosed, efforts to address it are akin to patching potholes. The article describes ten key causes, warning signs, and typical patches. With this knowledge, organisations can identify and address these problems before they have financial and legal consequences.
---
paper_title: Definition, structure, content, use and impacts of electronic health records: A review of the research literature

paper_content:

Abstract Purpose This paper reviews the research literature on electronic health record (EHR) systems. The aim is to find out (1) how electronic health records are defined, (2) how the structure of these records is described, (3) in what contexts EHRs are used, (4) who has access to EHRs, (5) which data components of the EHRs are used and studied, (6) what is the purpose of research in this field, (7) what methods of data collection have been used in the studies reviewed and (8) what are the results of these studies. Methods A systematic review was carried out of the research dealing with the content of EHRs. A literature search was conducted on four electronic databases: Pubmed/Medline, Cinalh, Eval and Cochrane. Results The concept of EHR comprised a wide range of information systems, from files compiled in single departments to longitudinal collections of patient data. Only very few papers offered descriptions of the structure of EHRs or the terminologies used. EHRs were used in primary, secondary and tertiary care. Data were recorded in EHRs by different groups of health care professionals. Secretarial staff also recorded data from dictation or nurses’ or physicians’ manual notes. Some information was also recorded by patients themselves; this information is validated by physicians. It is important that the needs and requirements of different users are taken into account in the future development of information systems. Several data components were documented in EHRs: daily charting, medication administration, physical assessment, admission nursing note, nursing care plan, referral, present complaint (e.g. symptoms), past medical history, life style, physical examination, diagnoses, tests, procedures, treatment, medication, discharge, history, diaries, problems, findings and immunization. In the future it will be necessary to incorporate different kinds of standardized instruments, electronic interviews and nursing documentation systems in EHR systems. The aspects of information quality most often explored in the studies reviewed were the completeness and accuracy of different data components. It has been shown in several studies that the use of an information system was conducive to more complete and accurate documentation by health care professionals. The quality of information is particularly important in patient care, but EHRs also provide important information for secondary purposes, such as health policy planning. Conclusion Studies focusing on the content of EHRs are needed, especially studies of nursing documentation or patient self-documentation. One future research area is to compare the documentation of different health care professionals with the core information about EHRs which has been determined in national health projects. The challenge for ongoing national health record projects around the world is to take into account all the different types of EHRs and the needs and requirements of different health care professionals and consumers in the development of EHRs. A further challenge is the use of international terminologies in order to achieve semantic interoperability.
---
paper_title: Electronic health records: high-quality electronic data for higher-quality clinical research

paper_content:

In the decades prior to the introduction of electronic health records (EHRs), the best source of electronic information to support clinical research was claims data. The use of claims data in research has been criticised for capturing only demographics, diagnoses and procedures recorded for billing purposes that may not fully reflect the patient's condition. Many important details of the patient's clinical status are not recorded. ::: EHRs can overcome many limitations of claims data in research, by capturing a more complete picture of the observations and actions of a clinician recorded when patients are seen. EHRs can provide important details about vital signs, diagnostic test results, social and family history, prescriptions and physical examination findings. As a result, EHRs present a new opportunity to use data collected through the routine operation of a clinical practice to generate and test hypotheses about the relationships among patients, diseases, practice styles, therapeutic modalities and clinical outcomes. ::: This article describes the clinical research information infrastructure at four institutions: the University of Pennsylvania, Regenstrief Institute/Indiana University, Partners Healthcare System and the University of Virginia. We present models for applying EHR data successfully within the clinical research enterprise.
---
paper_title: Medical Informatics: Improving Health Care Through Information

paper_content:

HEALTH CARE IS AN INFORMATIONbased science. Much of clinical practice involves gathering, synthesizing, and acting on information. Medical informatics is the field concerned with the management and use of information in health and biomedicine. This article focuses on the problems that motivate work in this field, the emerging solutions, and the barriers that remain. It also addresses the core themes that underlie all applications of medical informatics and unify the scientific approaches across the field. There is a growing concern that information is not being used as effectively as possible in health care. Recent reports from the Institute of Medicine have reviewed research findings related to information use and expressed concerns about medical errors and patient safety, the quality of medical records, and the protection of patient privacy and confidentiality. The latest Institute of Medicine report on this topic ties all these problems and potential solutions together in a vision for a health care system that is safe, patient-centered, and evidence-based. A variety of solutions is required to address the informationrelated problems in health care; many solutions involve the use of computers and computer-related technologies.
---
paper_title: 10 potholes in the road to information quality

paper_content:

Poor information quality can create chaos. Unless its root cause is diagnosed, efforts to address it are akin to patching potholes. The article describes ten key causes, warning signs, and typical patches. With this knowledge, organisations can identify and address these problems before they have financial and legal consequences.
---
paper_title: Definition, structure, content, use and impacts of electronic health records: A review of the research literature

paper_content:

Abstract Purpose This paper reviews the research literature on electronic health record (EHR) systems. The aim is to find out (1) how electronic health records are defined, (2) how the structure of these records is described, (3) in what contexts EHRs are used, (4) who has access to EHRs, (5) which data components of the EHRs are used and studied, (6) what is the purpose of research in this field, (7) what methods of data collection have been used in the studies reviewed and (8) what are the results of these studies. Methods A systematic review was carried out of the research dealing with the content of EHRs. A literature search was conducted on four electronic databases: Pubmed/Medline, Cinalh, Eval and Cochrane. Results The concept of EHR comprised a wide range of information systems, from files compiled in single departments to longitudinal collections of patient data. Only very few papers offered descriptions of the structure of EHRs or the terminologies used. EHRs were used in primary, secondary and tertiary care. Data were recorded in EHRs by different groups of health care professionals. Secretarial staff also recorded data from dictation or nurses’ or physicians’ manual notes. Some information was also recorded by patients themselves; this information is validated by physicians. It is important that the needs and requirements of different users are taken into account in the future development of information systems. Several data components were documented in EHRs: daily charting, medication administration, physical assessment, admission nursing note, nursing care plan, referral, present complaint (e.g. symptoms), past medical history, life style, physical examination, diagnoses, tests, procedures, treatment, medication, discharge, history, diaries, problems, findings and immunization. In the future it will be necessary to incorporate different kinds of standardized instruments, electronic interviews and nursing documentation systems in EHR systems. The aspects of information quality most often explored in the studies reviewed were the completeness and accuracy of different data components. It has been shown in several studies that the use of an information system was conducive to more complete and accurate documentation by health care professionals. The quality of information is particularly important in patient care, but EHRs also provide important information for secondary purposes, such as health policy planning. Conclusion Studies focusing on the content of EHRs are needed, especially studies of nursing documentation or patient self-documentation. One future research area is to compare the documentation of different health care professionals with the core information about EHRs which has been determined in national health projects. The challenge for ongoing national health record projects around the world is to take into account all the different types of EHRs and the needs and requirements of different health care professionals and consumers in the development of EHRs. A further challenge is the use of international terminologies in order to achieve semantic interoperability.
---
paper_title: The use of routinely collected computer data for research in primary care: opportunities and challenges

paper_content:

INTRODUCTION ::: Routinely collected primary care data has underpinned research that has helped define primary care as a specialty. In the early years of the discipline, data were collected manually, but digital data collection now makes large volumes of data readily available. Primary care informatics is emerging as an academic discipline for the scientific study of how to harness these data. This paper reviews how data are stored in primary care computer systems; current use of large primary care research databases; and, the opportunities and challenges for using routinely collected primary care data in research. ::: ::: ::: OPPORTUNITIES ::: (1) Growing volumes of routinely recorded data. (2) Improving data quality. (3) Technological progress enabling large datasets to be processed. (4) The potential to link clinical data in family practice with other data including genetic databases. (5) An established body of know-how within the international health informatics community. ::: ::: ::: CHALLENGES ::: (1) Research methods for working with large primary care datasets are limited. (2) How to infer meaning from data. (3) Pace of change in medicine and technology. (4) Integrating systems where there is often no reliable unique identifier and between health (person-based records) and social care (care-based records-e.g. child protection). (5) Achieving appropriate levels of information security, confidentiality, and privacy. ::: ::: ::: CONCLUSION ::: Routinely collected primary care computer data, aggregated into large databases, is used for audit, quality improvement, health service planning, epidemiological study and research. However, gaps exist in the literature about how to find relevant data, select appropriate research methods and ensure that the correct inferences are drawn.
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paper_title: Data Quality Issues in Electronic Health Records: An Adaptation Framework for the Greek Health System

paper_content:

This article address data quality issues relating to electronic health records (EHRs). It discusses the nature of the problem of supporting EHRs at national and international levels, and examines t...
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paper_title: Electronic health records: high-quality electronic data for higher-quality clinical research

paper_content:

In the decades prior to the introduction of electronic health records (EHRs), the best source of electronic information to support clinical research was claims data. The use of claims data in research has been criticised for capturing only demographics, diagnoses and procedures recorded for billing purposes that may not fully reflect the patient's condition. Many important details of the patient's clinical status are not recorded. ::: EHRs can overcome many limitations of claims data in research, by capturing a more complete picture of the observations and actions of a clinician recorded when patients are seen. EHRs can provide important details about vital signs, diagnostic test results, social and family history, prescriptions and physical examination findings. As a result, EHRs present a new opportunity to use data collected through the routine operation of a clinical practice to generate and test hypotheses about the relationships among patients, diseases, practice styles, therapeutic modalities and clinical outcomes. ::: This article describes the clinical research information infrastructure at four institutions: the University of Pennsylvania, Regenstrief Institute/Indiana University, Partners Healthcare System and the University of Virginia. We present models for applying EHR data successfully within the clinical research enterprise.
---
paper_title: 10 potholes in the road to information quality

paper_content:

Poor information quality can create chaos. Unless its root cause is diagnosed, efforts to address it are akin to patching potholes. The article describes ten key causes, warning signs, and typical patches. With this knowledge, organisations can identify and address these problems before they have financial and legal consequences.
---
paper_title: Definition, structure, content, use and impacts of electronic health records: A review of the research literature

paper_content:

Abstract Purpose This paper reviews the research literature on electronic health record (EHR) systems. The aim is to find out (1) how electronic health records are defined, (2) how the structure of these records is described, (3) in what contexts EHRs are used, (4) who has access to EHRs, (5) which data components of the EHRs are used and studied, (6) what is the purpose of research in this field, (7) what methods of data collection have been used in the studies reviewed and (8) what are the results of these studies. Methods A systematic review was carried out of the research dealing with the content of EHRs. A literature search was conducted on four electronic databases: Pubmed/Medline, Cinalh, Eval and Cochrane. Results The concept of EHR comprised a wide range of information systems, from files compiled in single departments to longitudinal collections of patient data. Only very few papers offered descriptions of the structure of EHRs or the terminologies used. EHRs were used in primary, secondary and tertiary care. Data were recorded in EHRs by different groups of health care professionals. Secretarial staff also recorded data from dictation or nurses’ or physicians’ manual notes. Some information was also recorded by patients themselves; this information is validated by physicians. It is important that the needs and requirements of different users are taken into account in the future development of information systems. Several data components were documented in EHRs: daily charting, medication administration, physical assessment, admission nursing note, nursing care plan, referral, present complaint (e.g. symptoms), past medical history, life style, physical examination, diagnoses, tests, procedures, treatment, medication, discharge, history, diaries, problems, findings and immunization. In the future it will be necessary to incorporate different kinds of standardized instruments, electronic interviews and nursing documentation systems in EHR systems. The aspects of information quality most often explored in the studies reviewed were the completeness and accuracy of different data components. It has been shown in several studies that the use of an information system was conducive to more complete and accurate documentation by health care professionals. The quality of information is particularly important in patient care, but EHRs also provide important information for secondary purposes, such as health policy planning. Conclusion Studies focusing on the content of EHRs are needed, especially studies of nursing documentation or patient self-documentation. One future research area is to compare the documentation of different health care professionals with the core information about EHRs which has been determined in national health projects. The challenge for ongoing national health record projects around the world is to take into account all the different types of EHRs and the needs and requirements of different health care professionals and consumers in the development of EHRs. A further challenge is the use of international terminologies in order to achieve semantic interoperability.
---
paper_title: The use of routinely collected computer data for research in primary care: opportunities and challenges

paper_content:

INTRODUCTION ::: Routinely collected primary care data has underpinned research that has helped define primary care as a specialty. In the early years of the discipline, data were collected manually, but digital data collection now makes large volumes of data readily available. Primary care informatics is emerging as an academic discipline for the scientific study of how to harness these data. This paper reviews how data are stored in primary care computer systems; current use of large primary care research databases; and, the opportunities and challenges for using routinely collected primary care data in research. ::: ::: ::: OPPORTUNITIES ::: (1) Growing volumes of routinely recorded data. (2) Improving data quality. (3) Technological progress enabling large datasets to be processed. (4) The potential to link clinical data in family practice with other data including genetic databases. (5) An established body of know-how within the international health informatics community. ::: ::: ::: CHALLENGES ::: (1) Research methods for working with large primary care datasets are limited. (2) How to infer meaning from data. (3) Pace of change in medicine and technology. (4) Integrating systems where there is often no reliable unique identifier and between health (person-based records) and social care (care-based records-e.g. child protection). (5) Achieving appropriate levels of information security, confidentiality, and privacy. ::: ::: ::: CONCLUSION ::: Routinely collected primary care computer data, aggregated into large databases, is used for audit, quality improvement, health service planning, epidemiological study and research. However, gaps exist in the literature about how to find relevant data, select appropriate research methods and ensure that the correct inferences are drawn.
---
paper_title: Informatics Challenges for the Impending Patient Information Explosion

paper_content:

As we move toward an era when health information is more readily accessible and transferable, there are several issues that will arise. This article addresses the challenges of information filtering, context-sensitive decision support, legal and ethical guidelines regarding obligations to obtain and use the information, aligning patient and health professionals' expectations in regard to the use and usefulness of the information, and enhancing data reliability. The authors discuss the issues and offer suggestions for addressing them.
---
paper_title: Electronic health records: high-quality electronic data for higher-quality clinical research

paper_content:

In the decades prior to the introduction of electronic health records (EHRs), the best source of electronic information to support clinical research was claims data. The use of claims data in research has been criticised for capturing only demographics, diagnoses and procedures recorded for billing purposes that may not fully reflect the patient's condition. Many important details of the patient's clinical status are not recorded. ::: EHRs can overcome many limitations of claims data in research, by capturing a more complete picture of the observations and actions of a clinician recorded when patients are seen. EHRs can provide important details about vital signs, diagnostic test results, social and family history, prescriptions and physical examination findings. As a result, EHRs present a new opportunity to use data collected through the routine operation of a clinical practice to generate and test hypotheses about the relationships among patients, diseases, practice styles, therapeutic modalities and clinical outcomes. ::: This article describes the clinical research information infrastructure at four institutions: the University of Pennsylvania, Regenstrief Institute/Indiana University, Partners Healthcare System and the University of Virginia. We present models for applying EHR data successfully within the clinical research enterprise.
---
paper_title: 10 potholes in the road to information quality

paper_content:

Poor information quality can create chaos. Unless its root cause is diagnosed, efforts to address it are akin to patching potholes. The article describes ten key causes, warning signs, and typical patches. With this knowledge, organisations can identify and address these problems before they have financial and legal consequences.
---
paper_title: Definition, structure, content, use and impacts of electronic health records: A review of the research literature

paper_content:

Abstract Purpose This paper reviews the research literature on electronic health record (EHR) systems. The aim is to find out (1) how electronic health records are defined, (2) how the structure of these records is described, (3) in what contexts EHRs are used, (4) who has access to EHRs, (5) which data components of the EHRs are used and studied, (6) what is the purpose of research in this field, (7) what methods of data collection have been used in the studies reviewed and (8) what are the results of these studies. Methods A systematic review was carried out of the research dealing with the content of EHRs. A literature search was conducted on four electronic databases: Pubmed/Medline, Cinalh, Eval and Cochrane. Results The concept of EHR comprised a wide range of information systems, from files compiled in single departments to longitudinal collections of patient data. Only very few papers offered descriptions of the structure of EHRs or the terminologies used. EHRs were used in primary, secondary and tertiary care. Data were recorded in EHRs by different groups of health care professionals. Secretarial staff also recorded data from dictation or nurses’ or physicians’ manual notes. Some information was also recorded by patients themselves; this information is validated by physicians. It is important that the needs and requirements of different users are taken into account in the future development of information systems. Several data components were documented in EHRs: daily charting, medication administration, physical assessment, admission nursing note, nursing care plan, referral, present complaint (e.g. symptoms), past medical history, life style, physical examination, diagnoses, tests, procedures, treatment, medication, discharge, history, diaries, problems, findings and immunization. In the future it will be necessary to incorporate different kinds of standardized instruments, electronic interviews and nursing documentation systems in EHR systems. The aspects of information quality most often explored in the studies reviewed were the completeness and accuracy of different data components. It has been shown in several studies that the use of an information system was conducive to more complete and accurate documentation by health care professionals. The quality of information is particularly important in patient care, but EHRs also provide important information for secondary purposes, such as health policy planning. Conclusion Studies focusing on the content of EHRs are needed, especially studies of nursing documentation or patient self-documentation. One future research area is to compare the documentation of different health care professionals with the core information about EHRs which has been determined in national health projects. The challenge for ongoing national health record projects around the world is to take into account all the different types of EHRs and the needs and requirements of different health care professionals and consumers in the development of EHRs. A further challenge is the use of international terminologies in order to achieve semantic interoperability.
---
paper_title: The use of routinely collected computer data for research in primary care: opportunities and challenges

paper_content:

INTRODUCTION ::: Routinely collected primary care data has underpinned research that has helped define primary care as a specialty. In the early years of the discipline, data were collected manually, but digital data collection now makes large volumes of data readily available. Primary care informatics is emerging as an academic discipline for the scientific study of how to harness these data. This paper reviews how data are stored in primary care computer systems; current use of large primary care research databases; and, the opportunities and challenges for using routinely collected primary care data in research. ::: ::: ::: OPPORTUNITIES ::: (1) Growing volumes of routinely recorded data. (2) Improving data quality. (3) Technological progress enabling large datasets to be processed. (4) The potential to link clinical data in family practice with other data including genetic databases. (5) An established body of know-how within the international health informatics community. ::: ::: ::: CHALLENGES ::: (1) Research methods for working with large primary care datasets are limited. (2) How to infer meaning from data. (3) Pace of change in medicine and technology. (4) Integrating systems where there is often no reliable unique identifier and between health (person-based records) and social care (care-based records-e.g. child protection). (5) Achieving appropriate levels of information security, confidentiality, and privacy. ::: ::: ::: CONCLUSION ::: Routinely collected primary care computer data, aggregated into large databases, is used for audit, quality improvement, health service planning, epidemiological study and research. However, gaps exist in the literature about how to find relevant data, select appropriate research methods and ensure that the correct inferences are drawn.
---
paper_title: 10 potholes in the road to information quality

paper_content:

Poor information quality can create chaos. Unless its root cause is diagnosed, efforts to address it are akin to patching potholes. The article describes ten key causes, warning signs, and typical patches. With this knowledge, organisations can identify and address these problems before they have financial and legal consequences.
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Title: MAIN BARRIERS FOR QUALITY DATA COLLECTION IN EHR - A Review

Section 1: INTRODUCTION
Description 1: Discuss technological progress in health services, the role of Electronic Health Records (EHRs), and the purpose of the review.

Section 2: SEARCH STRATEGY AND STUDY SELECTION
Description 2: Outline the methodology used to conduct the qualitative review study, including the search databases, key-words, and selection criteria for the literature reviewed.

Section 3: MAIN BARRIERS TO HIGH QUALITY DATA COLLECTION
Description 3: Identify and explain the primary barriers to high-quality data collection from EHRs, emphasizing the issues encountered in the information quality process.

Section 4: Electronic Health Records
Description 4: Define what EHRs are according to international standards and detail the roles of information producers, custodians, and consumers within the information manufacturing process.

Section 5: Data Sources/Availability
Description 5: Describe the challenges related to data storage, format inconsistencies, and the need for standardized infrastructure and terminology to improve data aggregation and transfer.

Section 6: Data Format
Description 6: Discuss the different methods of data capture in EHRs, their respective advantages and disadvantages, and the need for standardized coding systems to ensure accuracy.

Section 7: Data Accuracy
Description 7: Explain the significance of data accuracy, common causes of inaccuracies, and potential solutions to improve data accuracy in EHRs.

Section 8: Data Accessibility
Description 8: Analyze the ethical and logistical barriers to data accessibility, highlighting the impact on research and decision-making and suggesting ways to improve data access while maintaining privacy and security.

Section 9: MAIN FINDINGS AND RECOMMENDATIONS
Description 9: Summarize the main findings of the review and provide recommendations to overcome the identified barriers, including solutions such as structured encounter forms, early problem recognition, and improved research methods.