A personal health record (PHR) is a health record where health data and other information related to the care of a patient is maintained by the patient. [1] This stands in contrast to the more widely used electronic medical record, which is operated by institutions (such as hospitals) and contains data entered by clinicians (such as billing data) to support insurance claims. The intention of a PHR is to provide a complete and accurate summary of an individual's medical history which is accessible online. The health data on a PHR might include patient-reported outcome data, lab results, and data from devices such as wireless electronic weighing scales or (collected passively) from a smartphone.
The term "personal health record" is not new. The term was used as early as June 1978, [2] and in 1956, there was a reference was made to a "personal health log." [3] The term "PHR" may be applied to both paper-based and computerized systems; [4] usage in the late 2010s usually implies an electronic application used to collect and store health data.
In the early 2000s, healthcare organizations began to propose formal definitions of the term. For example:
The Personal Health Record (PHR) is an Internet-based set of tools that allows people to access and coordinate their lifelong health information and make appropriate parts of it available to those who need it. PHRs offer an integrated and comprehensive view of health information, including information people generate themselves such as symptoms and medication use, information from doctors such as diagnoses and test results, and information from their pharmacies and insurance companies.
The personal health record (PHR) is an electronic, universally available, lifelong resource of health information needed by individuals to make health decisions. Individuals own and manage the information in the PHR, which comes from healthcare providers and the individual. The PHR is maintained in a secure and private environment, with the individual determining rights of access. The PHR is separate from and does not replace the legal record of any provider.
The industry model personal health record (PHR) is a private, secure web-based tool maintained by an insurer that contains claims and administrative information. PHRs may also include information that is entered by consumers themselves, as well as data from other sources such as pharmacies, labs, and care providers. PHRs enable individual patients and their designated caregivers to view and manage health information and play a greater role in their own health care.
It is important to note that PHRs are not the same as electronic health records (EHRs) or electronic medical records (EMRs), which are software systems designed for use by health care providers. [5] : 19–20 [6] Like the data recorded in paper-based medical records, the data in EHRs are legally mandated notes on the care provided by clinicians to patients. However, generally there is no mandate requiring patients to track their own health data. Like EHRs and EMRs, PHRs may still fall under the regulatory scope of governments, depending on their origin, [7] [8] but rigorous regulatory protection of their data is still lacking in parts of the world. [7]
PHRs can contain a diverse range of data, including but not limited to:
There are two methods by which data can arrive in a PHR. [1] A patient may enter it directly, either by typing into fields or uploading/transmitting data from a file or another website. The second is when the PHR is tethered to an electronic health record, which automatically updates the PHR. Not all PHRs have the same capabilities, and individual PHRs may support one or all of these methods. [1]
In addition to storing an individual's personal health information, some PHRs provide added-value services such as drug-drug interaction checking, electronic messaging between patients and providers, managing appointments, and reminders. [9]
PHRs grant patients access to a wide range of health information sources, best medical practices, and health knowledge. All of an individual's medical records are stored in one place instead of paper-based files in various doctors’ offices. Upon encountering a medical condition, a patient can better access test results, communicate with their doctors, and share information with others suffering similarly. [10] [11]
Moreover, PHRs can benefit clinicians. PHRs offer patients the opportunity to submit their data to their clinicians' EHRs. This may help clinicians make better treatment decisions by providing more continuous data, [1] resulting in improved efficiency in care. [12] However, some physicians may have concerns about patient-entered information and its accuracy, as well as whether the added patient engagement creates more reimbursable work. [10]
Like other health information technology, PHR architecture can be roughly organized into three main components: [14]
Architecture types remain various. However, in 2017, Roehrs et al. performed a systematic literature review of PHRs and were able to divide architecture types into two groups: model-based and coverage-based. Model architectures represent more traditional takes on PHRs, including health data that is still stored on paper. Coverage architectures represent more hybrid takes on the PHR, "with the PHR distributed inside and outside the health care organizations" based on the data's physical location. [15] The associated architectural types have different costs and benefits. Likewise, stand-alone, provider-tethered, and payer-tethered PHRs have different advantages and disadvantages for patients related to their individual circumstances. Such differences are among the priority areas in PHR research. [14] As PHRs may play a key role in advancing health information exchange, interoperability with other health IT systems is an important consideration for PHR architecture. [14] Additionally, PHR systems requires users to put forth an "'ongoing' effort to keep their account up to date" (maintain an active role in managing their own health), which in turn requires further examination of PHR architecture and adoption models by developers. [11]
One of the principal distinguishing features of a PHR is the platform by which it is delivered. The types of platforms include: paper, electronic device, and web.
Personal health information is recorded and stored in paper format. Printed laboratory reports, copies of clinic notes, and health histories created by the individual may be parts of a paper-based PHR. This method is low cost, reliable, and accessible without the need for a computer or any other hardware. Probably the most successful paper PHR is the hand-held pregnancy record, developed in Milton Keynes in the mid-1980s [16] and now in use throughout the United Kingdom. These include the Scottish Woman-Held Maternity Record, [17] All Wales Maternity Record, [18] and Perinatal Institute notes. [19]
Paper-based PHRs may be difficult to locate, update, and share with others. Paper-based PHRs are subject to physical loss and damage, such as can occur during a natural disaster. Paper records can also be printed from most electronic PHRs. However, Fawdry et al. have shown that paper records are extremely flexible and do have distinct advantages over rigid electronic systems. [20]
Personal health information is recorded and stored in personal computer-based software that may have the capability to print, backup, encrypt, and import data from other sources such as a hospital laboratory. The most basic form of a PC-based PHR would be a health history created in a word-processing program. The health history compiled in computer based software can be printed, copied, and shared with anyone with a compatible word processor.
PHR software can provide more sophisticated features such as data encryption, data importation, and data sharing with health care providers. Some PHR products allow the copying of health records to a mass-storage device such as a CD-ROM, DVD, smart card, [21] or USB flash drive. [22]
PC-based PHRs are subject to physical loss and damage of the personal computer and the data that it contains. Some other methods of device solution may entail cards with embedded chips containing health information that may or may not be linked to a personal computer application or a web solution.
Web-based PHR solutions are essentially the same as electronic device PHR solutions, however, web-based solutions have the advantage of being easily integrated with other services. For example, some solutions allow for import of medical data from external sources. Solutions including HealthVault, and PatientsLikeMe allow data to be shared with other applications or specific people. Mobile solutions often integrate themselves with web solutions and use the web-based solution as the platform.
A large number of companies have emerged to provide consumers the opportunity to develop online PHRs. Some have been developed by non-profit organizations, while others have been developed by commercial ventures. These web-based applications allow users to directly enter their information such as diagnosis, medications, laboratory tests, immunizations and other data associated with their health. They generate records that can be displayed for review or transmitted to authorized receivers.
Despite the need for PHRs and the availability of various online PHR providers, there has not been wide adoption of PHR services. E.g. Google discontinued its PHR service called Google Health on January 12, 2012. The reason cited for shutting down Google Health was that the service did not translate from its limited usage into widespread usage in the daily health routines of millions of people. [23] [24] Surveys of web-based services have found wide variations in functions between services and only limited data on efficacy and safety concerns. [25] [26] [27] [28] One analyst, describing the public's reluctance to adopt the services, called PHRs "a technology in search of a market." [24]
An emerging standard from HL7, Fast Healthcare Interoperability Resources (FHIR), is designed to make it easier for developers of personal health record applications to access relevant medical records. [29]
The terms electronic health records, personal health records, and patient portals are often used interchangeably. By definition and working they are different from each other. The generally agreed upon definition of these terms relates mainly to the ownership of the data. Once data is in a PHR it usually owned and controlled by the patient. Patient can edit, save or share this record with any one. Finally, PHRs are data that resides with the patient, in a system of the patient's choosing. This data may have been exported directly from an EMR, but the point is it now resides in a location of the patient's choosing. Access to that information is controlled entirely by the patient. While PHRs can help patients keep track of their personal health information, the value of PHRs to healthcare organizations is still unclear. [30]
Electronic health records and electronic medical records contain clinical data created by and for health professionals in the course of providing care. The data is about the patient but the data resides in a health care provider's system. Most EHRs, however, are the property of the provider, although the content can be co-created by both the provider and patient. A patient has a legal right in most states to request their healthcare data and under recent USA legislation those providers using a certified EHR will be required to provide an electronic copy as well.
In the UK, according to the governments' information strategy for the NHS every primary care practice in England will have to offer patients online access to their care records by 2015. [31] In 2012, only 1% did so. [32]
The patient portal is typically defined as a view into the electronic medical records. In addition, ancillary functions that support a health care provider's interaction with a patient are also found in those systems e.g. prescription refill requests, appointment requests, electronic case management, etc.
A new concept being discussed is the UHR or "universal health record", [33] which would be a patient-centered and patient-controlled body of information that could be shared in a granular way with particular health care providers at the patient's discretion in support of the patient's work with health care providers. This project would enlist open source contributions and enhancements from developers, with particular emphasis on supporting patient expectations of privacy and responsible patient control of private health information (PHI).
Since the National Academy of Medicine (previously the Institute of Medicine) called for greater adoption of PHRs in 1999, [12] the software has faced many barriers to adoption, including economic, technological, regulatory, behavioral, and organizational issues at both the environmental and individual levels. [1] [11] [12] [34] [35] A study from 2002 was carried out in an effort to assess the functionality and utility of the budding online PHR. It found that most people did not keep record of minute details of their healthcare experiences and therefore made it difficult to get full value from web-based PHRs. The PHRs selected for evaluation offered limited functionality to the general public, with limitations in data entry, validation, and information display methods. [34] A 2005 survey found that limited access to computers and the internet access, as well as low computer literacy levels, known as the digital divide, was a barrier for low-income and aged populations. [36] A 2010–11 set of interviews of clinicians and patients found "that both usability concerns and socio-cultural influences are barriers to PHR adoption and use." [37] More recent studies and reviews in the mid- to late 2010s have revealed other issues such as privacy and confidentiality concerns, lack of motivation, low health literacy, health- and disease-related disabilities, and even administrative burdens. [11] [12] [35]
Additionally, how the PHR is promoted by healthcare organizations, how useful their features are, and how well the care provider uses it, particularly in the realm of patient communication, can influence adoption and usage rates. [38] [39] Promotion may occur at several steps of the development and implementation process, from developers talking with providers about a proposed system, clinics forming patient focus groups, and providers posting physical and digital news of the PHR to patients. [38] The features and usability of the system also drive adoption, with groups such as Kaiser Permanente and Cleveland Clinic seeing substantial increases in PHR use when adding the features users want. [38] [39] Provider use and communication has also proved important; "[s]ecure communication with the physician is important because the patients will eventually leave (the PHR) if there is no conversation going on with the physician." [38] Additional studies have also shown that when put to use, PHR's ability to enhance communication and collaboration can change patient patterns from sporadic visits to steady visits, and more significant PHR use. [39]
One of the most controversial issues for PHRs is how the technology could threaten the privacy of patient's protected health information (PHI). Network computer break-ins are becoming more common, [40] thus storing medical information online can cause fear of the exposure of health information to unauthorized individuals. [41] In addition to height, weight, blood pressure and other quantitative information about a patient's physical body, medical records can reveal very sensitive information. This includes fertility, surgical procedures, emotional and psychological disorders, and diseases, which many patients are reluctant to share even voluntarily. [42]
Various threats exist to patient information confidentiality:
Technological and regulatory issues play important roles in the privacy, security, and patient concerns surrounding PHI. On the technological side, failures occur at numerous points:
The state of PHR regulations are also worth mentioning. A 2018 review and comparison of five legislative jurisdictions around the world found "considerable variances with regards to legal terminology and the degree of compliance required from entities offering PHR services across various jurisdictions." [7] Even in the European Union, which provides some of the most significant protections to PHR data through the General Data Protection Regulation (GDPR), the reviewers found "significant room for interpretation and a degree of ambiguity in key areas." [7] With further questions arising about the security and privacy of PHI that makes its ways to expanding platforms such as smartphones and associated applications, [51] clearer regulations and policies will likely be required. [52]
PHRs have the potential to benefit the public health sector in areas such as health monitoring, outbreak monitoring, empowerment through information and resources, linking to services, and research. [53] [54] However, tapping into this potential has been a slow process due to both the public health sector not fully engaging with adopters [54] and the adopters themselves exhibiting "reticence to share sensitive information." [42] Several surveys of Americans in the twenty-first century have indicated that anywhere between 63 and 73% would be willing to share at least some personal health information with public health officials for detecting disease outbreaks and other purposes. [42] [55] However, caveats about retaining control of how the information is presented and used remain strong among respondents, [42] [55] with concerns about anonymity, government insensitivity, and discrimination. [42] Given the questionable state of regulatory efforts to protect PHR data [7] from these and other concerns, the standard use of health data from PHRs in public health may still be far away.
The U.S. Centers for Disease Control and Prevention has taken the idea of PHR integration with public health efforts a step further, in 2016 suggesting a framework for a community health record "for integrating and transforming multisector data into actionable information." [56] Integration of EHR, PHR, and county health data would allow the integration and presentation of data across residential blocks to entire zip codes. However, like PHR, significant social approval would have to occur, and data use agreements would have to be established. [56]
Health informatics is the study and implementation of computer structures and algorithms to improve communication, understanding, and management of medical information. It can be viewed as branch of engineering and applied science.
The terms medical record, health record and medical chart are used somewhat interchangeably to describe the systematic documentation of a single patient's medical history and care across time within one particular health care provider's jurisdiction. A medical record includes a variety of types of "notes" entered over time by healthcare professionals, recording observations and administration of drugs and therapies, orders for the administration of drugs and therapies, test results, X-rays, reports, etc. The maintenance of complete and accurate medical records is a requirement of health care providers and is generally enforced as a licensing or certification prerequisite.
An electronic health record (EHR) is the systematized collection of patient and population electronically stored health information in a digital format. These records can be shared across different health care settings. Records are shared through network-connected, enterprise-wide information systems or other information networks and exchanges. EHRs may include a range of data, including demographics, medical history, medication and allergies, immunization status, laboratory test results, radiology images, vital signs, personal statistics like age and weight, and billing information.
eHealth describes healthcare services which are supported by digital processes, communication or technology such as electronic prescribing, Telehealth, or Electronic Health Records (EHRs). The use of electronic processes in healthcare dated back to at least the 1990s. Usage of the term varies as it covers not just "Internet medicine" as it was conceived during that time, but also "virtually everything related to computers and medicine". A study in 2005 found 51 unique definitions. Some argue that it is interchangeable with health informatics with a broad definition covering electronic/digital processes in health while others use it in the narrower sense of healthcare practice using the Internet. It can also include health applications and links on mobile phones, referred to as mHealth or m-Health. Key components of eHealth include electronic health records (EHRs), telemedicine, health information exchange, mobile health applications, wearable devices, and online health information. These technologies enable healthcare providers, patients, and other stakeholders to access, manage, and exchange health information more effectively, leading to improved communication, decision-making, and overall healthcare outcomes.
A clinical decision support system (CDSS) is a health information technology that provides clinicians, staff, patients, and other individuals with knowledge and person-specific information to help health and health care. CDSS encompasses a variety of tools to enhance decision-making in the clinical workflow. These tools include computerized alerts and reminders to care providers and patients, clinical guidelines, condition-specific order sets, focused patient data reports and summaries, documentation templates, diagnostic support, and contextually relevant reference information, among other tools. CDSSs constitute a major topic in artificial intelligence in medicine.
Protected health information (PHI) under U.S. law is any information about health status, provision of health care, or payment for health care that is created or collected by a Covered Entity, and can be linked to a specific individual. This is interpreted rather broadly and includes any part of a patient's medical record or payment history.
Patient portals are healthcare-related online applications that allow patients to interact and communicate with their healthcare providers, such as physicians and hospitals. Typically, portal services are available on the Internet at all hours of the day and night. Some patient portal applications exist as stand-alone web sites and sell their services to healthcare providers. Other portal applications are integrated into the existing web site of a healthcare provider. Still others are modules added onto an existing electronic medical record (EMR) system. What all of these services share is the ability of patients to interact with their medical information via the Internet. Currently, the lines between an EMR, a personal health record, and a patient portal are blurring. For example, Intuit Health and Microsoft HealthVault describe themselves as personal health records (PHRs), but they can interface with EMRs and communicate through the Continuity of Care Record standard, displaying patient data on the Internet so it can be viewed through a patient portal.
"Health 2.0" is a term introduced in the mid-2000s, as the subset of health care technologies mirroring the wider Web 2.0 movement. It has been defined variously as including social media, user-generated content, and cloud-based and mobile technologies. Some Health 2.0 proponents see these technologies as empowering patients to have greater control over their own health care and diminishing medical paternalism. Critics of the technologies have expressed concerns about possible misinformation and violations of patient privacy.
Health information technology (HIT) is health technology, particularly information technology, applied to health and health care. It supports health information management across computerized systems and the secure exchange of health information between consumers, providers, payers, and quality monitors. Based on a 2008 report on a small series of studies conducted at four sites that provide ambulatory care – three U.S. medical centers and one in the Netherlands, the use of electronic health records (EHRs) was viewed as the most promising tool for improving the overall quality, safety and efficiency of the health delivery system.
The Office of the National Coordinator for Health Information Technology (ONC) is a staff division of the Office of the Secretary, within the U.S. Department of Health and Human Services. ONC leads national health IT efforts, charged as the principal federal entity to coordinate nationwide efforts to implement and use the most advanced health information technology and the electronic exchange of health information.
Clinical point of care (POC) is the point in time when clinicians deliver healthcare products and services to patients at the time of care.
The Fast Healthcare Interoperability Resources standard is a set of rules and specifications for exchanging electronic health care data. It is designed to be flexible and adaptable, so that it can be used in a wide range of settings and with different health care information systems. The goal of FHIR is to enable the seamless and secure exchange of health care information, so that patients can receive the best possible care. The standard describes data formats and elements and an application programming interface (API) for exchanging electronic health records (EHR). The standard was created by the Health Level Seven International (HL7) health-care standards organization.
Digital health is a discipline that includes digital care programs, technologies with health, healthcare, living, and society to enhance the efficiency of healthcare delivery and to make medicine more personalized and precise. It uses information and communication technologies to facilitate understanding of health problems and challenges faced by people receiving medical treatment and social prescribing in more personalised and precise ways. The definitions of digital health and its remits overlap in many ways with those of health and medical informatics.
Health information on the Internet refers to all health-related information communicated through or available on the Internet.
OpenNotes is a research initiative and international movement located at Beth Israel Deaconess Medical Center.
Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare; claims and cost data, pharmaceutical and research and development (R&D) data, clinical data, and patient behavior and sentiment data (patient behaviors and preferences,. Health care analytics is a growing industry in the United States, expected to grow to more than $31 billion by 2022. The industry focuses on the areas of clinical analysis, financial analysis, supply chain analysis, as well as marketing, fraud and HR analysis.
Artificial intelligence in healthcare is a term used to describe the use of machine-learning algorithms and software, or artificial intelligence (AI), to copy human cognition in the analysis, presentation, and understanding of complex medical and health care data, or to exceed human capabilities by providing new ways to diagnose, treat, or prevent disease. Specifically, AI is the ability of computer algorithms to arrive at approximate conclusions based solely on input data.
Health data is any data "related to health conditions, reproductive outcomes, causes of death, and quality of life" for an individual or population. Health data includes clinical metrics along with environmental, socioeconomic, and behavioral information pertinent to health and wellness. A plurality of health data are collected and used when individuals interact with health care systems. This data, collected by health care providers, typically includes a record of services received, conditions of those services, and clinical outcomes or information concerning those services. Historically, most health data has been sourced from this framework. The advent of eHealth and advances in health information technology, however, have expanded the collection and use of health data—but have also engendered new security, privacy, and ethical concerns. The increasing collection and use of health data by patients is a major component of digital health.
Federal and state governments, insurance companies and other large medical institutions are heavily promoting the adoption of electronic health records. The US Congress included a formula of both incentives and penalties for EMR/EHR adoption versus continued use of paper records as part of the Health Information Technology for Economic and Clinical Health (HITECH) Act, enacted as part of the, American Recovery and Reinvestment Act of 2009.
Dean Forrest Sittig is an American biomedical informatician specializing in clinical informatics. He is a professor in Biomedical Informatics at the University of Texas Health Science Center at Houston and Executive Director of the Clinical Informatics Research Collaborative (CIRCLE). Sittig was elected as a fellow of the American College of Medical Informatics in 1992, the Healthcare Information and Management Systems Society in 2011, and was a founding member of the International Academy of Health Sciences Informatics in 2017. Since 2004, he has worked with Joan S. Ash, a professor at Oregon Health & Science University to interview several Pioneers in Medical Informatics, including G. Octo Barnett, MD, Morris F. Collen, MD, Donald E. Detmer, MD, Donald A. B. Lindberg, MD, Nina W. Matheson, ML, DSc, Clement J. McDonald, MD, and Homer R. Warner, MD, PhD.
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