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Guiding principles for the optimal use of data analytics by physicians at the point of care

https://policybase.cma.ca/en/permalink/policy11812
Last Reviewed
2020-02-29
Date
2016-02-27
Topics
Health information and e-health
  1 document  
Policy Type
Policy document
Last Reviewed
2020-02-29
Date
2016-02-27
Topics
Health information and e-health
Text
Electronic tools are now being used more widely in medicine than ever before. A majority of physicians in Canada have adopted electronic medical records (EMRs)-75% of physicians use EMRs to enter or retrieve clinical patient notes, and 80% use electronic tools to access laboratory/diagnostic test results. The increased use of point-of-care tools and information repositories has resulted in the mass digitization and storage of clinical information, which provides opportunities for the use of big data analytics. Big data analytics may come to be understood as the process of examining clinical data in EMRs cross-referenced with other administrative, demographic and behavioural data sources to reveal determinants of patient health and patterns in clinical practice. Its increased use may provide opportunities to develop and enhance clinical practice tools and to improve health outcomes at both point-of-care and population levels. However, given the nature of EMR use in Canada, these opportunities may be restricted to primary care practice at this time. Physicians play a central role in finding the right balance between leveraging the advantages of big data analytics and protecting patient privacy. Guiding Principles for the Optimal Use of Data Analytics by Physicians at the Point of Care outlines basic considerations for the use of big data analytics services and highlights key considerations when responding to requests for access to EMR data, including the following: * Why will data analytics be used? Will the safety and effectiveness of patient care be enhanced? Will the results be used to inform public health measures? * What are the responsibilities of physicians to respect and protect patient and physician information, provide appropriate information during consent conversations, and review data sharing agreements and consult with EMR vendors to understand how data will be used? As physicians will encounter big data analytics in a number of ways, this document also outlines the characteristics one should be looking for when assessing the safety and effectiveness of big data analytics services: * protection of privacy * clear and detailed data sharing agreement * physician-owned and -led data collaboratives * endorsement by a professional or recognized association, medical society or health care organization * scope of services and functionality/appropriateness of data While this guidance is not a standalone document-it should be used as a supplemental reference to provincial privacy legislation-it is hoped that it can aid physicians to identify suitable big data analytics services and derive benefits from them. Introduction This document outlines basic considerations for the use of big data analytics services at the point of care or for research approved by a research ethics board. This includes considerations when responding to requests for access to data in electronic medical records (EMRs). These guiding principles build on the policies of the Canadian Medical Association (CMA) on Data Sharing Agreements: Principles for Electronic Medical Records/Electronic Health Records,1 Principles Concerning Physician Information2 and Principles for the Protection of Patients' Personal Health Information,3 the 2011 clinical vignettes Disclosing Personal Health Information to Third Parties4 and Need to Know and Circle of Care,5 and the Canadian Medical Protective Association's The Impact of Big Data on Healthcare and Medical Practice.6 These guiding principles are for information and reference only and should not be construed as legal or financial advice, nor is this document a substitute for legal or other professional advice. Physicians must always comply with all legislation that applies to big data analytics, including privacy legislation. Big data analytics in the clinical context involves the collection, use and potential disclosure of patient and physician information, both of which could be considered sensitive personal information under privacy legislation. Big data analytics has the potential to improve health outcomes, both at the point of care and at a population level. Doctors have a key role to play in finding the right balance between leveraging the advantages of big data (enhanced care, service delivery and resource management) and protecting patient privacy.7 Background A majority of physicians in Canada have adopted EMRs in their practice. The percentage of physicians using EMRs to enter or retrieve clinical patient notes increased from 26% in 2007 to 75% in 2014. Eighty percent of physicians used electronic tools to access laboratory/diagnostic test results in 2014, up from 38% in 2010.8 The increasingly broad collection of information by physicians at the point of care, combined with the growth of information repositories developed by various governmental and intergovernmental bodies, has resulted in the mass digitization and storage of clinical information. Big data is the term for data sets so large and complex that it is difficult to process them using traditional relational database management systems, desktop statistics and visualization software. What is considered "big" depends on the infrastructure and capabilities of the organization managing the data.9 Analytics is the discovery and communication of meaningful patterns in data. Analytics relies on the simultaneous application of statistics, computer programming and operations research. Analytics often favours data visualization to communicate insight, and insights from data are used to guide decision-making.10 For physicians, big data analytics may come to be understood as the process of examining the clinical data in EMRs cross-referenced with other administrative, demographic and behavioural data sources to reveal determinants of patient health and patterns in clinical practice. This information can be used to assist clinical decision-making or for research approved by a research ethics board. There are four types of big data analytics physicians may encounter in the provision of patient care. They are generally performed in the following sequence, in a continuous cycle11,12,13,14: 1. Population health analytics: Health trends are identified in the aggregate within a community, a region or a national population. The data can be derived from biomedical and/or administrative data. 2. Risk-based cost analysis: Populations are segmented into groups according to the level of risk to the patient's health and/or cost to the health system. 3. Care management: Clinicians are enabled to manage patient care according to defined care pathways and clinical protocols informed by population health analytics and risk-based cost analysis. Care management includes the following: o Clinical decision support: Outcomes are predicted and/or alternative treatments are recommended to clinicians and patients at the point of care. o Personalized/precision care: Personalized data sets, such as genomic DNA sequences for at-risk patients, are leveraged to highlight best practice treatments for patients and practitioners. These solutions may offer early detection and diagnosis before a patient develops disease symptoms. o Clinical operations: Workflow management is performed, such as wait-times management, mining historical and unstructured data for patterns to predict events that may affect care. o Continuing education and professional development: Longitudinal performance data are combined across institutions, classes, cohorts or programs with correlating patient outcomes to assess models of education and/or develop new programs. 4. Performance analytics: Metrics for quality and efficiency of patient care are cross-referenced with clinical decision-making and performance data to assess clinical performance. This cycle is also sometimes understood as a component of "meaningful" or "enhanced" use of EMRs. How might physicians encounter big data analytics? Many EMRs run analytics both visibly (e.g., as a function that can be activated at appropriate junctures in the care pathway) and invisibly (e.g., as tools that run seamlessly in the background of an EMR). Physicians may or may not be aware when data are being collected, analyzed, tailored or presented by big data analytics services. However, many jurisdictions are strengthening their laws and standards, and best practices are gradually emerging.15 Physicians may have entered into a data sharing agreement with their EMR vendor when they procured an EMR for their practice. Such agreements may include provisions to share de-identified (i.e., anonymized) and/or aggregate data with the EMR vendor for specified or unspecified purposes. Physicians may also receive requests from third parties to share their EMR data. These requests may come from various sources: * provincial governments * intergovernmental agencies * national and provincial associations, including medical associations * non-profit organizations * independent researchers * EMR vendors, service providers and other private corporations National Physician Survey results indicate that in 2014, 10% of physicians had shared data from their EMRs for the purposes of research, 10% for chronic disease surveillance and 8% for care improvement. Family physicians were more likely than other specialists to share with public health agencies (22% v. 11%) and electronic record vendors (13% v. 2%). Specialists were more likely than family physicians to share with researchers (59% v. 37%), hospital departments (47% v. 20%) and university departments (28% v. 15%). There is significant variability across the provinces with regard to what proportion of physicians are sharing information from their EMRs, which is affected by the presence of research initiatives, research objectives defined by the approval of a research ethics board, the adoption rates of EMRs among physicians in the province and the functionality of those EMRs.16 For example, there are family practitioners across Canada who provide data to the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). The CPCSSN is a multi-disease EMR surveillance and research system that allows family physicians, epidemiologists and researchers to understand and manage chronic care conditions for patients. Health information is collected from EMRs in the offices of participating family physicians, specifically information about Canadians suffering from chronic and mental health conditions and three neurologic conditions, including Alzheimer's and related dementias.17 In another example, the Canadian Partnership Against Cancer's Surgical Synoptic Reporting Initiative captures standardized information about surgery at the point of care and transmits the surgical report to other health care personnel. Surgeons can use the captured information, which gives them the ability to assess adherence to the clinical evidence and safety procedures embedded in the reporting templates, to track their own practices and those of their community.18 The concept of synoptic reporting-whereby a physician provides anonymized data about their practice in return for an aggregate report summarizing the practice of others -can be expanded to any area in which an appropriate number of physicians are willing to participate. Guiding principles for the use of big data analytics These guiding principles are designed to give physicians a starting point as they consider the use of big data analytics in their practices: * The objective of using big data analytics must be to enhance the safety and/or effectiveness of patient care or for the purpose of health promotion. * Should a physician use big data analytics, it is the responsibility of the physician to do so in a way that adheres to their legislative, regulatory and/or professional obligations. * Physicians are responsible for the privacy of their individual patients. Physicians may wish to refer to the CMA's policy on Principles for the Protection of Patients' Personal Health Information.19 * Physicians are responsible for respecting and protecting the privacy of other physicians' information. Physicians may wish to refer to the CMA's policy on Principles Concerning Physician Information.20 * When physicians enter into and document a broad consent discussion with their patient, which can include the electronic management of health information, this agreement should convey information to cover the elements common to big data analytics services. * Physicians may also wish to consider the potential for big data analytics to inform public health measures and enhance health system efficiency and take this into account when responding to requests for access to data in an EMR. * Many EMR vendors provide cloud-based storage to their clients, so information entered into an EMR may be available to the EMR vendor in a de-identified and/or aggregate state. Physicians should carefully read their data sharing agreement with their EMR vendor to understand how and why the data that is entered into an EMR is used, and/or they should refer to the CMA's policy on the matter, Data Sharing Agreements: Principles for Electronic Medical Records/Electronic Health Records.21 * Given the dynamic nature of this emerging tool, physicians are encouraged to share information about their experiences with big data analytics and its applications with colleagues. Characteristics of safe and effective big data analytics services 1. Protection of privacy Privacy and security concerns present a challenge in linking big data in EMRs. As data are linked, it becomes increasingly difficult to de-identify individual patients.22 As care is increasingly provided in interconnected, digital environments, physicians are having to take on the role of data stewardship. To that end, physicians may wish to employ conservative risk assessment practices-"should we" as opposed to "can we" when linking data sources-and obtain express patient consent, employing a "permission-based" approach to the collection and stewardship of data. 2. A clear and detailed data sharing agreement Physicians entering into a contract with an EMR vendor or other third party for provision of services should understand how and when they are contributing to the collection of data for the purposes of big data analytics services. There are template data sharing agreements available, which include the basic components of safe and effective data sharing, such as the model provided by the Information and Privacy Commissioner of Ontario.23 Data sharing agreements may include general use and project-specific use, both of which physicians should assess before entering into the agreement. When EMR access is being provided to a ministry of health and/or regional health authority, the data sharing agreement should distinguish between access to administrative data and access to clinical data. Physicians may wish to refer to the CMA's policy on Data Sharing Agreements: Principles for Electronic Medical Records/Electronic Health Records.24 3. Physician-owned and -led data collaboratives In some provinces there may exist opportunities to share clinical data in physician-owned and -led networks to reflect on and improve patient care. One example is the Physicians Data Collaborative in British Columbia, a not-for-profit organization open to divisions of family practice.25 Collaboratives such as this one are governed by physicians and driven by a desire to protect the privacy and safety of patients while producing meaningful results for physicians in daily practice. Participation in physician-owned data collaboratives may ensure that patient data continue to be managed by physicians, which may lead to an appropriate prioritization of physicians' obligations to balance patient-centred care and patient privacy. 4. Endorsement by a professional or other recognized association or medical society or health care organization When considering use of big data analytics services, it is best to select services created or endorsed by a professional or other recognized association or medical society. Some health care organizations, such as hospitals, may also develop or endorse services for use in their clinical environments. Without such endorsement, physicians are advised to proceed with additional caution. 5. Scope of services and functionality/appropriateness of data Physicians may wish to seek out information from EMR vendors and service providers about how big data analytics services complement the process of diagnosis and about the range of data sources from which these services draw. While big data analytics promises insight into population health and practice trends, if it is not drawing from an appropriate level of cross-referenced sources it may present a skewed picture of both.26 Ultimately, the physician must decide if the sources are appropriately diverse. Physicians should expect EMR vendors and service providers to make clear how and why they draw the information they do in the provision of analytics services. Ideally, analytics services should integrate population health analytics, risk-based cost analysis, care management services (such as point-of-care decision support tools) and performance analytics. Physicians should expect EMR vendors to allocate sufficient health informatics resources to information management, technical infrastructure, data protection and response to breaches in privacy, and data extraction and analysis.27,28 Physicians may also wish to consider the appropriateness of data analytics services in the context of their practices. Not all data will be useful for some medical specialties, such as those treating conditions that are relatively rare in the overall population. The potential for new or enhanced clinical practice tools informed by big data analytics may be restricted to primary care practice at this time.29 Finally, predictive analytics often make treatment recommendations that are designed to improve the health outcomes in a population, and these recommendations may conflict with physicians' ethical obligations to act in the best interests of individual patients and respect patients' autonomous decision-making).30 References 1 Canadian Medical Association. Data sharing agreements: principles for electronic medical records/electronic health records [CMA policy]. Ottawa: The Association; 2009. Available: http://policybase.cma.ca/dbtw-wpd/Policypdf/PD09-01.pdf 2 Canadian Medical Association. Principles concerning physician information [CMA policy]. CMAJ 2002 167(4):393-4. Available: http://policybase.cma.ca/dbtw-wpd/PolicyPDF/PD02-09.pdf 3 Canadian Medical Association. Principles for the protection of patients' personal health information [CMA policy]. Ottawa: The Association; 2010. Available: http://policybase.cma.ca/dbtw-wpd/Policypdf/PD11-03.pdf 4 Canadian Medical Association. Disclosing personal health information to third parties. Ottawa: The Association; 2011. Available: www.cma.ca/Assets/assets-library/document/en/advocacy/CMA_Disclosure_third_parties-e.pdf 5 Canadian Medical Association. Need to know and circle of care. Ottawa: The Association; 2011. Available: www.cma.ca/Assets/assets-library/document/en/advocacy/CMA_Need_to_know_circle_care-e.pdf 6 Canadian Medical Protective Association. The impact of big data on healthcare and medical practice. Ottawa: The Association; no date. Available: https://oplfrpd5.cmpa-acpm.ca/documents/10179/301372750/com_14_big_data_design-e.pdf 7 Kayyali B, Knott D, Van Kuiken S. The 'big data' revolution in US health care: accelerating value and innovation. New York: McKinsey & Company; 2013. p. 1. 8 College of Family Physicians of Canada, Canadian Medical Association, Royal College of Physicians and Surgeons of Canada. National physician survey, 2014. National results by FP/GP or other specialist, sex, age and all physicians. Q7. Ottawa: The Colleges and Association; 2014. Available: http://nationalphysiciansurvey.ca/wp-content/uploads/2014/08/2014-National-EN-Q7.pdf 9 Anonymous. Data, data everywhere. The Economist 2010 Feb 27. Available: www.economist.com/node/15557443 10 Anonymous. Data, data everywhere. The Economist 2010 Feb 27. Available: www.economist.com/node/15557443 11 Canada Health Infoway. Big data analytics in health. Toronto: Canada Health Infoway; 2013. Available: www.infoway-inforoute.ca/index.php/resources/technical-documents/emerging-technology/doc_download/1419-big-data-analytics-in-health-white-paper-full-report (accessed 2014 May 16). 12 Ellaway RH, Pusic MV, Galbraith RM, Cameron T. 2014 Developing the role of big data and analytics in health professional education. Med Teach 2014;36(3):216-222. 13 Marino DJ. Using business intelligence to reduce the cost of care. Healthc Financ Manage 2014;68(3):42-44, 46. 14 Porter ME, Lee TH. The strategy that will fix health care. Harv Bus Rev 2013;91(10):50-70. 15 Baggaley C. Data protection in a world of big data: Canadian Medical Protective Association information session [presentation]. 2014 Aug 20. Available: https://oplfrpd5.cmpa-acpm.ca/documents/10179/301372750/com_2014_carmen_baggaley-e.pdf 16 College of Family Physicians of Canada, Canadian Medical Association, Royal College of Physicians and Surgeons of Canada. National physician survey, 2014. National results by FP/GP or other specialist, sex, age and all physicians. Q10. Ottawa: The Colleges and Association; 2014. Available: http://nationalphysiciansurvey.ca/wp-content/uploads/2014/08/2014-National-EN-Q10.pdf 17 Canadian Primary Care Sentinel Surveillance Network. Available: http://cpcssn.ca/ (accessed 2014 Nov 15). 18 Canadian Partnership Against Cancer. Sustaining action toward a shared vision: 2012-2017 strategic plan. Toronto: The Partnership; no date. Available: www.partnershipagainstcancer.ca/wp-content/uploads/sites/5/2015/03/Sustaining-Action-Toward-a-Shared-Vision_accessible.pdf 19 Canadian Medical Association. Principles for the protection of patients' personal health information [CMA policy]. Ottawa: The Association; 2011. Available: http://policybase.cma.ca/dbtw-wpd/Policypdf/PD11-03.pdf 20 Canadian Medical Association. Principles for the protection of patients' personal health information [CMA policy]. Ottawa: The Association; 2011. Available: http://policybase.cma.ca/dbtw-wpd/Policypdf/PD11-03.pdf 21 Canadian Medical Association. Data sharing agreements: principles for electronic medical records/electronic health records [CMA policy]. Ottawa: The Association; 2009. Available: http://policybase.cma.ca/dbtw-wpd/Policypdf/PD09-01.pdf 22 Weber G, Mandl KD, Kohane IS. Finding the missing link for big biomedical data . JAMA 2014;311(24):2479-2480. doi:10.1001/jama.2014.4228. 23 Information and Privacy Commissioner of Ontario. Model data sharing agreement. Toronto: The Commissioner; 1995. Available: www.ipc.on.ca/images/Resources/model-data-ag.pdf 24 Canadian Medical Association. Data sharing agreements: principles for electronic medical records/electronic health records [CMA policy]. Ottawa: The Association; 2009. Available: http://policybase.cma.ca/dbtw-wpd/Policypdf/PD09-01.pdf 25 Physicians Data Collaborative. Overview. Available: www.divisionsbc.ca/datacollaborative/home 26 Cohen IG, Amarasingham R, Shah A, Xie B, Lo B. The legal and ethical concerns that arise from using complex predictive analytics in health care. Health Aff 2014;33(7):1139-1147. 27 Rhoads J, Ferrara L. Transforming healthcare through better use of data. Electron Healthc 2012;11(1):e27. 28 Canadian Medical Protective Association. The impact of big data and healthcare and medical practice. Ottawa: The Association; no date. Available: https://oplfrpd5.cmpa-acpm.ca/documents/10179/301372750/com_14_big_data_design-e.pdf 29 Genta RM, Sonnenberg A. Big data in gastroenterology research. Nat Rev Gastroenterol Hepatol 2014;11(6):386-390. 30 Cohen IG, Amarasingham R, Shah A, Xie B, Lo B. The legal and ethical concerns that arise from using complex predictive analytics in health care. Health Aff 2014;33(7):1139-1147.
Documents
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Data on maternal morbidity and mortality and infant births and deaths

https://policybase.cma.ca/en/permalink/policy8505
Last Reviewed
2020-02-29
Date
2006-08-23
Topics
Population health/ health equity/ public health
Health information and e-health
Resolution
GC06-13
The Canadian Medical Association and its divisions and affiliates will call on governments to ensure that the data collected on maternal morbidity and mortality and infant births and deaths are comparable across Canada.
Policy Type
Policy resolution
Last Reviewed
2020-02-29
Date
2006-08-23
Topics
Population health/ health equity/ public health
Health information and e-health
Resolution
GC06-13
The Canadian Medical Association and its divisions and affiliates will call on governments to ensure that the data collected on maternal morbidity and mortality and infant births and deaths are comparable across Canada.
Text
The Canadian Medical Association and its divisions and affiliates will call on governments to ensure that the data collected on maternal morbidity and mortality and infant births and deaths are comparable across Canada.
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Review of the Personal Information Protection and Electronic Documents Act (PIPEDA) : CMA's Presentation to the House of Commons Standing Committee on Access to Information, Privacy and Ethics - December 13, 2006

https://policybase.cma.ca/en/permalink/policy8668
Last Reviewed
2019-03-03
Date
2006-12-13
Topics
Health care and patient safety
Health information and e-health
Ethics and medical professionalism
  1 document  
Policy Type
Parliamentary submission
Last Reviewed
2019-03-03
Date
2006-12-13
Topics
Health care and patient safety
Health information and e-health
Ethics and medical professionalism
Text
The Canadian Medical Association (CMA) is pleased to be here today to participate in your review of the Personal Information Protection and Electronic Documents Act, or PIPEDA. The CMA has had a long-standing interest in privacy-related matters, including enhancing measures to protect and promote the privacy of health information. We welcome the opportunity to share our policies and thoughts on these vital matters. As a pediatric oncologist from Winnipeg and Chair of the CMA's Committee on Ethics, I come here today with one bottom line: Physicians have always- and continue to - take their patients' privacy very seriously. This is the cornerstone of the special bond between patients and their doctor and has been thus since the time of Hippocrates. In recognition of the importance of privacy, the CMA has produced such documents as the CMA Code of Ethics and the CMA Health Information Privacy Code to guide our more than 64,000 members across the country. These documents existed before the federal government introduced PIPEDA. It is out of our concern for protecting and ensuring the privacy of medical information that we speak to you today. There are three specific areas which we would like to raise: 1) Recognition in law of the unique nature of health care; 2) Physician information as "work product"; and 3) Emerging Privacy and Health information issues. 1. Recognition in law of the unique nature of health care I would like to highlight the importance of recognizing in law the special circumstances of protecting health information. In fact, when PIPEDA was first being debated, CMA posed questions about the scope of the Act and was told that the legislation, originally designed for commerce and the private sector, would not capture health information. We were also told that even if it did, PIPEDA wouldn't change how we practiced medicine. The passing of PIPEDA generated enough concern and uncertainty that government agreed to delay its application to health for 3 years. For example, PIPEDA failed to clarify the issue of implied consent for the sharing of patient information between health professionals providing care. For example, when the family physicians says to a patient "I'm going to send you to see an oncologist to run some tests" and the patient agrees and follows that course of action, then clearly there is "consent" to the sharing of their health information with others. As an oncologist I assume there is consent to send the test results to other specialists that I may need to consult in order to advance the patient's care in a timely fashion. This, however, needed to be addressed before PIPEDA was applied to health care. The delayed application allowed the federal government and health care community to work together and develop a set of guidelines for how PIPEDA would be applied. The resulting PIPEDA Awareness Raising Tools, known as PARTs, contain a series of questions and answers that make up guidelines for health care providers. They answered many of our concerns, provided necessary definitions and allowed for the implied consent model to continue to be used within the circle of care. The CMA applauds the government for this collaborative effort and the resulting guidelines have been used by health care providers ever since. However, we remain concerned that the PARTs guidelines have no legal status. This limitation creates a degree of uncertainty that the CMA would like this legislative review to see addressed by ensuring the PARTs series of questions and answers are referenced in PIPEDA. In addition to participating in the PARTS initiative, since PIPEDA's implementation, the CMA has designed practical tools for physicians and patients: * adopted the CMA policy Principles Concerning Physician Information to address the importance of protecting the privacy of physician information; * produced Privacy in Practice: a handbook for Canadian physicians to help physicians maintain best practices in the protection of patient health information; and * created the PRIVACYWIZARD(tm) designed to help physicians record their current privacy practices, communicate these to patients and identify possible areas for enhancement. 2. Physician Practice Information as "Work Product" I referred earlier to CMA's Policy document on physician information. The CMA strongly believes that physicians have legitimate privacy concerns about the use by third parties of information - such as prescribing and other practice data for commercial purposes. Currently deemed "work product" this information can be collected, used and disclosed without consent. We feel PIPEDA inadequately protects this information. We recognize that it is information generated out of the patient-physician relationship. We disagreed with findings of the previous Privacy Commissioner that physician prescribing information is not subject to PIPEDA's privacy protection provisions for "personal information". The CMA has consistently advocated that physician prescribing data and other practice information is personal information and appeared as an intervener in a Federal Court review of this issue that was ultimately settled by the main parties. Also, insufficient regard for the privacy of prescribing and other physician data could have a negative impact on the sanctity of the physician-patient relationship. Patients confide highly sensitive information to physicians with the expectation this information will be kept in the strictest confidence. This expectation exists because they know that physicians are under ethical and regulatory dictates to safeguard their information and that physicians take this responsibilities very seriously. The perceived and indeed actual loss of control by physicians over information created in the patient encounter, such as prescribing data, could undermine the confidence and faith of our patients that we are able to safeguard their health information. This concern is not hypothetical. For physicians, so called "work product" information also encompasses practice patterns such as discharge rates, referral rates, billing patterns, hospital length of stays, complaints, peer review results, mortality and re-admittance rates. With the advent of electronic medical records and growth in pay-for-performance and outcome-based incentive programs for physicians, there is an enormous potential for the resulting physician "performance" data or "work product" to be "mined" by other parties and used to influence performance review (traditionally the purview of the medical licensing authorities) as well as decisions around treatment funding and system planning. The lack of transparency in the sale and compilation of physicians' prescribing and other performance data means that physicians might find themselves to be the unwitting subject and targets of marketing research. We believe practice decisions must be made in the best interest of patients and not the bottom-line interests of businesses and marketers. CMA therefore recommends a legislative change to include physician information as personal information under PIPEDA. Legislation in Quebec provides an example that is consistent with CMA's approach since it requires regulatory oversight and gives individuals the right to opt out of the collection, use and disclosure of "professional" information. 3. Emerging Privacy and Health information issues With budgetary and demographic pressures, our health care system is under strain and physicians are striving to deliver timely, quality care to patients, often with competing and multiple demands. Physicians are therefore seeking assurances from law makers that any amendments to PIPEDA will take into account the potential impact on them and their patients. Therefore, we seek assurances that: * health care is recognized as unique when it comes to the disclosure of personal information before the transfer of a business (one physician transferring his/her practice to another) because it is regulated at the provincial level through the appropriate licensing body. As a general rule, physicians must give notice to the public, whether via a newspaper ad or a notice in the office about the change in practice. * the federal government will consider the impact of the trans-border flow of personal information on telehealth and Electronic Health Record activities. Communications between patients and physicians via electronic means are likely to increase and to move across geographic boundaries with increasing frequency; and * the federal government will study the issue of international cross border data flows, particularly among Canadian researchers who receive funding from US drug companies. These arrangements should be governed by Canadian law (PIPEDA) not American (HIPAA or the US Patriot Act). In closing, the privacy protection of personal health information is a responsibility that my colleagues and I do not take lightly. It is a key pillar of our relationship with Canadians, they not only expect it-they deserve it. I look forward to taking questions from Committee members. Canadian Medical Association Ottawa, December 13, 2006
Documents
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Online continuing medical education

https://policybase.cma.ca/en/permalink/policy9892
Last Reviewed
2017-03-04
Date
2010-08-25
Topics
Population health/ health equity/ public health
Ethics and medical professionalism
Health information and e-health
Resolution
GC10-69
The Canadian Medical Association, in collaboration with provincial/territorial medical associations, calls on governments to ensure that the necessary technology is in place to guarantee that physicians in rural and remote locations have access to accredited online continuing medical education/continuing professional development.
Policy Type
Policy resolution
Last Reviewed
2017-03-04
Date
2010-08-25
Topics
Population health/ health equity/ public health
Ethics and medical professionalism
Health information and e-health
Resolution
GC10-69
The Canadian Medical Association, in collaboration with provincial/territorial medical associations, calls on governments to ensure that the necessary technology is in place to guarantee that physicians in rural and remote locations have access to accredited online continuing medical education/continuing professional development.
Text
The Canadian Medical Association, in collaboration with provincial/territorial medical associations, calls on governments to ensure that the necessary technology is in place to guarantee that physicians in rural and remote locations have access to accredited online continuing medical education/continuing professional development.
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E-health strategies

https://policybase.cma.ca/en/permalink/policy9908
Last Reviewed
2017-03-04
Date
2010-08-25
Topics
Health information and e-health
Health systems, system funding and performance
Resolution
GC10-90
The Canadian Medical Association will work with provincial/territorial medical associations to ensure investments made by the Canada Health Infoway are aligned with, and respect e-health strategies that are currently being implemented or developed within various jurisdictions.
Policy Type
Policy resolution
Last Reviewed
2017-03-04
Date
2010-08-25
Topics
Health information and e-health
Health systems, system funding and performance
Resolution
GC10-90
The Canadian Medical Association will work with provincial/territorial medical associations to ensure investments made by the Canada Health Infoway are aligned with, and respect e-health strategies that are currently being implemented or developed within various jurisdictions.
Text
The Canadian Medical Association will work with provincial/territorial medical associations to ensure investments made by the Canada Health Infoway are aligned with, and respect e-health strategies that are currently being implemented or developed within various jurisdictions.
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Last Reviewed
2017-03-04
Date
2010-08-25
Topics
Health information and e-health
Population health/ health equity/ public health
Physician practice/ compensation/ forms
Resolution
GC10-93
The Canadian Medical Association supports and will expedite research into the expansion of telemedicine and the utilization of emerging technologies, to directly link health care providers and patients.
Policy Type
Policy resolution
Last Reviewed
2017-03-04
Date
2010-08-25
Topics
Health information and e-health
Population health/ health equity/ public health
Physician practice/ compensation/ forms
Resolution
GC10-93
The Canadian Medical Association supports and will expedite research into the expansion of telemedicine and the utilization of emerging technologies, to directly link health care providers and patients.
Text
The Canadian Medical Association supports and will expedite research into the expansion of telemedicine and the utilization of emerging technologies, to directly link health care providers and patients.
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Medical records

https://policybase.cma.ca/en/permalink/policy9923
Last Reviewed
2017-03-04
Date
2010-08-25
Topics
Ethics and medical professionalism
Health care and patient safety
Health information and e-health
Resolution
GC10-106
The Canadian Medical Association will work with provincial/territorial medical associations and other stakeholders including patients to develop a national strategy for the long-term retention, retrieval and disposal of medical records.
Policy Type
Policy resolution
Last Reviewed
2017-03-04
Date
2010-08-25
Topics
Ethics and medical professionalism
Health care and patient safety
Health information and e-health
Resolution
GC10-106
The Canadian Medical Association will work with provincial/territorial medical associations and other stakeholders including patients to develop a national strategy for the long-term retention, retrieval and disposal of medical records.
Text
The Canadian Medical Association will work with provincial/territorial medical associations and other stakeholders including patients to develop a national strategy for the long-term retention, retrieval and disposal of medical records.
Less detail

Patients access to their electronic medical record

https://policybase.cma.ca/en/permalink/policy11924
Date
2016-08-24
Topics
Health information and e-health
Resolution
GC16-49
The Canadian Medical Association recommends that patients be able to access their electronic medical record and contribute information to it.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Health information and e-health
Resolution
GC16-49
The Canadian Medical Association recommends that patients be able to access their electronic medical record and contribute information to it.
Text
The Canadian Medical Association recommends that patients be able to access their electronic medical record and contribute information to it.
Less detail

Funding criteria for any new electronic medical record initiative

https://policybase.cma.ca/en/permalink/policy11925
Date
2016-08-24
Topics
Health systems, system funding and performance
Health information and e-health
Resolution
GC16-50
The Canadian Medical Association recommends that funding criteria for any new electronic medical record initiative include the ability for patients to access and contribute to their record.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Health systems, system funding and performance
Health information and e-health
Resolution
GC16-50
The Canadian Medical Association recommends that funding criteria for any new electronic medical record initiative include the ability for patients to access and contribute to their record.
Text
The Canadian Medical Association recommends that funding criteria for any new electronic medical record initiative include the ability for patients to access and contribute to their record.
Less detail

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