Health technology

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Health technology is defined by the World Health Organization as the "application of organized knowledge and skills in the form of devices, medicines, vaccines, procedures, and systems developed to solve a health problem and improve quality of lives". [1] This includes pharmaceuticals, devices, procedures, and organizational systems used in the healthcare industry, [2] as well as computer-supported information systems. In the United States, these technologies involve standardized physical objects, as well as traditional and designed social means and methods to treat or care for patients. [3]

Contents

Development

Pre-digital era

During the pre-digital era, patients suffered from inefficient and faulty clinical systems, processes, and conditions. [4] Many medical errors happened in the past due to undeveloped health technologies.[ citation needed ] Some examples of these medical errors included adverse drug events and alarm fatigue. When many alarms are repeatedly triggered or activated, especially for unimportant events, workers may become desensitized to the alarms. Healthcare professionals who have alarm fatigue may ignore an alarm believing it to be insignificant, which could lead to death and dangerous situations. With technological development, an intelligent program of integration and physiologic sense-making was developed and helped reduce the number of false alarms. [4]

Also, with greater investment in health technologies, fewer medical errors happened.[ citation needed ] Outdated paper records were replaced in many healthcare organizations by electronic health records (EHR).[ citation needed ] According to studies, this has brought many changes to healthcare. [5] Drug administration has improved, healthcare providers can now access medical information easier, provide better treatments and faster results, and save more costs. [5]

Improvement

To help promote and expand the adoption of health information technology, Congress passed the HITECH act as part of the American Recovery and Reinvestment Act of 2009. HITECH stands for Health Information Technology for Economic and Clinical Health Act. It gave the department of health and human services the authority to improve healthcare quality and efficiency through the promotion of health IT. [6] The act provided financial incentives or penalties to organizations to motivate healthcare providers to improve healthcare. The purpose of the act was to improve quality, safety, efficiency, and ultimately to reduce health disparities. [7]

One of the main parts of the HITECH act was setting the meaningful use requirement, which required EHRs to allow for the electronic exchange of health information and to submit clinical information. The purpose of HITECH is to ensure the sharing of electronic information with patients and other clinicians are secure. HITECH also aimed to help healthcare providers have more efficient operations and reduce medical errors. The program consisted of three phases. Phase one aimed to improve healthcare quality, safety and efficiency. [7] Phase two expanded on phase one and focused on clinical processes and ensuring the meaningful use of EHRs. [7] Lastly, phase three focused on using Certified Electronic Health Record Technology (CEHRT) to improve health outcomes. [7]

In 2014, the implementation of electronic records in US hospitals rose from a low percentage of 10% to a high percentage of 70%. [4]

At the beginning of 2018, healthcare providers who participated in the Medicare Promoting Interoperability Program needed to report on Quality Payment Program requirements. The program focused more on interoperability and aimed to improve patient access to health information. [7]

Privacy of health data

Phones that can track one's whereabouts, steps and more can serve as medical devices, and medical devices have much the same effect as these phones. According to one study, people were willing to share personal data for scientific advancements, although they still expressed uncertainty about who would have access to their data. [8] People are naturally cautious about giving out sensitive personal information. [8] Phones add an extra level of threat. [9] Mobile devices continue to increase in popularity each year. The addition of mobile devices serving as medical devices increases the chances for an attacker to gain unauthorized information. [9]

In 2015 the Medical Access and CHIP Reauthorization Act (MACRA) was passed, pushing towards electronic health records. In the article "Health Information Technology: Integration, Patient Empowerment, and Security", K. Marvin provided multiple different polls based on people's views on different types of technology entering the medical field most answers were responded with somewhat likely and very few completely disagreed on the technology being used in medicine. Marvin discusses the maintenance required to protect medical data and technology against cyber attacks as well as providing a proper data backup system for the information. [10]

Patient Protection and Affordable Care Act (ACA) also known as Obamacare and health information technology health care is entering the digital era. Although with this development it needs to be protected. Both health information and financial information now made digital within the health industry might become a larger target for cyber-crime. Even with multiple different types of safeguards hackers somehow still find their way in so the security that is in place needs to constantly be updated to prevent these breaches. [11]

Policy

With the increased use of IT systems, privacy violations were increasing rapidly due to the easier access and poor management. As such, the concern of privacy has become an important topic in healthcare. Privacy breaches happen when organizations do not protect the privacy of people's data. There are four types of privacy breaches, which include unintended disclosure by authorized personnel, intended disclosure by authorized personnel, privacy data loss or theft, and virtual hacking. It became more important to protect the privacy and security of patients' data because of the high negative impact on both individuals and organizations. Stolen personal information can be used to open credit cards or other unethical behaviors. Also, individuals have to spend a large amount of money to rectify the issue. The exposure of sensitive health information also can have negative impacts on individuals' relationships, jobs, or other personal areas. For the organization, the privacy breach can cause loss of trust, customers, legal actions, and monetary fines. [12]

Health Insurance Portability and Accountability Act of 1996 HIPAA Screenshot.png
Health Insurance Portability and Accountability Act of 1996

HIPAA stands for the Health Insurance Portability and Accountability Act of 1996. It is a U.S. healthcare legislation to direct how patient data is used and includes two major rules which are privacy and security of data. The privacy rule protects people's rights to privacy and security rule determines how to protect people's privacy. [13]

According to the HIPAA Security Rule, it ensures that protected health information has three characteristics: confidentiality, availability, and integrity. Confidentiality indicates keeping the data confidential to prevent data loss or individuals who are unauthorized to access that protected health information. Availability allows people who are authorized to access the systems and networks when and where that information is in fact needed, such as natural disasters. In cases like this, protected health information is mostly backed up on to a separate server or printed out in paper copies, so people can access it. Lastly, integrity ensures not using inaccurate information and improperly modified data due to a bad design system or process to protect the permanence of the patient data. The consequences of using inaccurate or improperly modified data could become useless or even dangerous. [13]

Health Organizations of HIPAA also created administrative safeguards, physical safeguards, technical safeguards, to help protect the privacy of patients. Administrative safeguards typically include security management process, security personnel, information access management, workforce training and management, and evaluation of security policies and procedures. Security management processes are one of the important administrative safeguards' examples. It is essential to reduce the risks and vulnerabilities of the system. The processes are mostly the standard operating procedures written out as training manuals. The purpose is to educate people on how to handle protected health information in proper behavior. [14]

Physical safeguards include lock and key, card swipe, positioning of screens, confidential envelopes, and shredding of paper copies. Lock and key are common examples of physical safeguards. They can limit physical access to facilities. Lock and key are simple, but they can prevent individuals from stealing medical records. Individuals must have an actual key to access to the lock. [14]

Lastly, technical safeguards include access control, audit controls, integrity controls, and transmission security. The access control mechanism is a common example of technical safeguards. It allows the access of authorized personnel. The technology includes authentication and authorization. Authentication is the proof of identity that handles confidential information like username and password, while authorization is the act of determining whether a particular user is allowed to access certain data and perform activities in a system like add and delete. [14]

Assessment

The concept of health technology assessment (HTA) was first coined in 1967 by the U.S. Congress in response to the increasing need to address the unintended and potential consequences of health technology, along with its prominent role in society. [15] It was further institutionalized with the establishment of the congressional Office of Technology Assessment (OTA) in 1972–1973. HTA is defined as a comprehensive form of policy research that examines short- and long-term consequences of the application of technology, including benefits, costs, and risks. [16] Due to the broad scope of technology assessment, it requires the participation of individuals besides scientists and health care practitioners such as managers and even the consumers. [16]

Several American organizations provide health technology assessments and these include the Centers for Medicare and Medicaid Services (CMS) and the Veterans Administration through its VA Technology Assessment Program (VATAP). The models adopted by these institutions vary, although they focus on whether a medical technology being offered is therapeutically relevant. [17] A study conducted in 2007 noted that the assessments still did not use formal economic analyses. [17]

Aside from its development, however, assessment in the health technology industry has been viewed as sporadic and fragmented [18] Issues such as the determination of products that needed to be developed, cost, and access, among others, also emerged. These, some argue, need to be included in the assessment since health technology is never purely a matter of science but also of beliefs, values, and ideologies. [18] One of the mechanisms being suggested either as an element of or an alternative to the current TAs is bioethics, which is also referred to as the "fourth-generation" evaluation framework. [18] [19] There are at least two dimensions to an ethical HTA. The first involves the incorporation of ethics in the methodological standards employed to assess technologies while the second is concerned with the use of ethical framework in research and judgment on the part of the researchers who produce information used in the industry. [20]

In the future

Fort Belvoir Community Hospital astounds with groundbreaking technology and devotion to patient care. Fort Belvoir Community Hospital astounds with groundbreaking technology and devotion to patient care 120530-A-AJ780-011.jpg
Fort Belvoir Community Hospital astounds with groundbreaking technology and devotion to patient care.

The practice of medicine in the United States is currently in a major transition. This transition is due to many factors, but primarily because of the implementation and integration of health technologies into healthcare. In recent years, the widespread adoption of electronic health records (EHR) has greatly impacted healthcare. In his book The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine's Computer Age, Robert Wachter aims to inform readers about this transition. Wachter states that there will be fewer hospitals in the future, and due to the advancement of technologies, people will be more likely to go to hospitals for major surgeries or critical illness. In the future, nurse call buttons will not be needed in hospitals. Instead, robots will deliver medication, take care of patients, and administer the system. In addition, the electronic health record will look different. Healthcare providers will be able to enter the notes via speech-to-text transcriptions in real-time. [4]

Wachter stated that information will be edited collaboratively across the patient-care team to improve the quality. Also, natural language processing will be more developed to help parse out keywords. In the future, patient data will reside in the cloud, and patients as well as authorized providers and individuals will be able to access their data from any device or location. Big data analysis will constantly be improving. Artificial intelligence and machine learning will be constantly improving and developing as it receives new data. Alerts will also be more intelligent and efficient than the current systems. [4]

Medical technology

Medical technology, or "medtech", encompasses a wide range of healthcare products and is used to treat diseases and medical conditions affecting humans. Such technologies are intended to improve the quality of healthcare delivered through earlier diagnosis, less invasive treatment options and reduction in hospital stays and rehabilitation times. [21] Recent advances in medical technology have also focused on cost reduction. [22] Medical technology may broadly include medical devices, information technology, biotech, and healthcare services.[ citation needed ]

The impacts of medical technology involve social and ethical issues. For example, physicians can seek objective information from technology rather than read subjective patient reports. [23]

A major driver of the sector's growth is the consumerization of medtech. Supported by the widespread availability of smartphones and tablets, providers can reach a large audience at low cost, a trend that stands to be consolidated as wearable technologies spread throughout the market. [24]

In the years 2010–2015, venture funding has grown 200%, allowing US$11.7 billion to flow into health tech businesses from over 30,000 investors in the space. [25]

Types of technology

Medical technology has evolved into smaller portable devices, for instance, smartphones, touchscreens, tablets, laptops, digital ink, voice and face recognition and more. With this technology, innovations like electronic health records (EHR), health information exchange (HIE), Nationwide Health Information Network (NwHIN), personal health records (PHRs), patient portals, nanomedicine, genome-based personalized medicine, Geographical Positioning System (GPS), radio frequency identification (RFID), telemedicine, clinical decision support (CDS), mobile home health care and cloud computing came to exist. [26]

Medical imaging and magnetic resonance imaging (MRI) have been long used and proven medical technologies for medical research, patient reviewing, and treatment analyzing. With the advancement of imagining technologies, including the use of faster and more data, higher resolution images, and specialist automation software, the capabilities of medical imaging technology are growing and yielding better results. [27] As the imaging hardware and software evolve this means that patients will need to use less contrasting agents, and also spend less time and money. [28]

Further advancement in healthcare is electromagnetic (EM) technology guidance systems, used in medical procedures, allowing real-time visualization and navigation for the placement of medical devices inside the human body. For example, a neuro-navigated catheter is inserted into the brain, or a feeding tube placement in the stomach or small intestine, as demonstrated by the ENvue System. ENvue is an advanced electromagnetic navigation system for enteral feeding tube placement. The system uses a field generator and several EM sensors enabling proper scaling of the display to the patient’s body contour, and real-time view of the feeding tube tip location and direction, which helps the medical staff ensure correct placement and avoid placement of the tube in the lungs. [29]

3D printing is another major development in healthcare. It can be used to produce specialized splints, prostheses, parts for medical devices and inert implants. The end goal of 3D printing is being able to print out customized replaceable body parts. [30] In the following section, it will explain more about 3D printing in healthcare. New types of technologies also include artificial intelligence and robots. [31]

3D printing

3D-printing Sliperiet 3D-printing Sliperiet.jpg
3D-printing Sliperiet

3D printing is the use of specialized machines, software programs and materials to automate the process of building certain objects. It is having a rapid growth in the prosthesis, medical implants, novel drug formulations and the bioprinting of human tissues and organs. [30]

Companies such as Surgical Theater provide new technology that is capable of capturing 3D virtual images of patients' brains to use as practice for operations. 3D printing allows medical companies to produce prototypes to practice before an operation created with artificial tissue. [30]

3D printing technologies are great for bio-medicine because the materials that are used to make allow the fabrication with control over many design features. 3D printing also has the benefits of affordable customization, more efficient designs, and saving more time. [30] 3D printing is precise to design pills to house several drugs due to different release times. The technology allows the pills to transport to the targeted area and degrade safely in the body. As such, pills can be designed more efficiently and conveniently. In the future, doctors might be giving a digital file of printing instructions instead of a prescription. [30]

Besides, 3D printing will be more useful in medical implants. An example includes a surgical team that has designed a tracheal splint made by 3D printing to improve the respiration of a patient. This example shows the potential of 3D printing, which allows physicians to develop new implant and instrument designs easily. [30]

Overall, in the future of medicine, 3D printing will be crucial as it can be used in surgical planning, artificial and prosthetic devices, drugs, and medical implants.

Artificial intelligence

The scale and capabilities of artificial intelligence (AI) systems are growing rapidly, notably due to advances in big data. In healthcare, it is expected to provide easier accessibility of information, and to improve treatments while reducing cost. The integration of AI in healthcare tends to improve the quality and efficiency of complex tasks. [32] [33]

Risks related to AI include the potential lack of accuracy, and privacy concerns related to the collected data. [34] Delegating decisions to AI systems may also undermine accountability. [35] Moreover, AI systems sometimes learn undesired behaviors from their training data. For example, an AI trained to detect skin diseases was found to have a strong tendency to classify images containing a ruler as cancerous, since pictures of malignancies typically include a ruler to show the scale. [36]

Applications

AI brings many benefits to the healthcare industry. AI helps to detect diseases, administer chronic conditions, deliver health services, and discover the drug. Furthermore, AI has the potential to address important health challenges. In healthcare organizations, AI is able to plan and relocate resources. [37] AI is able to match patients with healthcare providers that meet their needs. AI also helps improve the healthcare experience by using an app to identify patients' anxieties. In medical research, AI helps to analyze and evaluate the patterns and complex data. For instance, AI is important in drug discovery because it can search relevant studies and analyze different kinds of data. In clinical care, AI helps to detect diseases, analyze clinical data, publications, and guidelines. As such, AI aids to find the best treatments for the patients. Other uses of AI in clinical care include medical imaging, echocardiography, screening, and surgery. [37] The ability of AlphaFold to predict how proteins fold also significantly accelerated medical research. [38]

Education

Medical virtual reality provides doctors multiple surgical scenarios that could happen and allows them to practice and prepare themselves for these situations. It also permits medical students a hands-on experience of different procedures without the consequences of making potential mistakes. [39] ORamaVR is one of the leading companies that employ such medical virtual reality technologies to transform medical education (knowledge) and training (skills) to improve patient outcomes, reduce surgical errors and training time and democratize medical education and training.

Robots

Modern robotics have made huge progress and contribution to healthcare. Robots can help doctors in performing variety tasks. Robotics adoption is increasing tremendously in hospitals. The following are different ways to improve healthcare by using robots: [40]

Robotic Spinal Surgery Robotic Spinal Surgery.jpg
Robotic Spinal Surgery

Surgical robots are one of the robotic systems, which allows a surgeon to bend and rotate tissues in a more flexible and efficient way. The system is equipped with a3D magnification vision system that can translate the hand movements of the surgeon to be precise in-order to perform a surgery with minimal incisions. Other robotics systems include the ability to diagnose and treat cancers. Many scientists began working on creating a next-generation robot system to assist the surgeon in performing knee and other bone replacement surgeries. [40]

Assistant robots will also be important to help reduce the workload for regular medical staff. They can help nurses with simple and time-consuming tasks like carrying multiple racks of medicines, lab specimen or other sensitive materials. [40]

Shortly, robotic pills are expected to reduce the number of surgeries. [40] They can be moved inside a patient and delivered to the desired area. In addition, they can conduct biopsies, film the area and clear clogged arteries.

Overall, medical robots are extremely useful in assisting physicians; however, it might take time to be professionally trained working with medical robots and for the robots to respond to a clinician's instructions. As such, many researchers and startups were working constantly to provide solutions to these challenges. [40]

Assistive technologies

Assistive technologies are products designed to provide accessibility to individuals who have physical or cognitive problems or disabilities. They aim to improve the quality of life with assistive technologies. The range of assistive technologies is broad, ranging from low-tech solutions to physical hardware, to technical devices. There are four areas of assistive technologies, which include visual impairment, hearing impairment, physical limitations, cognitive limitations. There are many benefits of assistive technologies. They enable individuals to care for themselves, work, study, access information easily, improve independence and communication, and lastly participate fully in community life. [41]

Consumer-driven healthcare software

As part of an ongoing trend towards consumer-driven healthcare, websites or apps which provide more information on health care quality and price to help patients choose their providers have grown. [42] As of 2017, the sites with the most number of reviews in descending order included Healthgrades, Vitals.com, and RateMDs.com. [43] Yelp, Google, and Facebook also host reviews with a large amount of traffic, although as of 2017 they had fewer medical reviews per doctor. [44] Disputes around online reviews can lead to websites by health professionals alleging defamation. [45] In 2018 Vitals.com was purchased by WebMD which is owned by Internet Brands. [46]

Patient safety organizations and government programs which have historically assessed quality have made their data more accessible over the internet; notable examples include the HospitalCompare by CMS [47] and the LeapFrog Group's hospitalsafetygrade.org. [48]

Patient-oriented software may also help in other ways, including general education and appointments. [49]

Disclosure of legal disputes including medical license complaints or malpractice lawsuits has also been made easier. Every state discloses license status and at least some disciplinary action to the public, but as of 2018, this was not accessible via the internet for a few states. [50] : 78  Consumers can look up medical licenses in a national database, DocInfo.org, maintained by the medical licensing organizations [50] which contains limited details. [51] Other tools include DocFinder at docfinder.docboard.org [51] and certificationmatters.org from the American Board of Medical Specialties. In some cases more information is available from a mailed or walk-in request than the internet; for example, the Medical Board of California removes dismissed accusations from website profiles, but these are still available from a written or walk-in request, or a lookup in a separate database. [52] The trend to disclosure is controversial and generate significant public debate, [53] particularly about opening up the National Practitioner Data Bank. [54] In 1996, Massachusetts became the first state to require detailed disclosure of malpractice claims. [54]

Self-monitoring

Smartphones, tablets, and wearable computers have allowed people to monitor their health. These devices run numerous applications that are designed to provide simple health services and the monitoring of one's health with finding as critical problems to health as possible. An example of this is Fitbit, a fitness tracker that is worn on the user's wrist. This wearable technology allows people to track their steps, heart rate, floors climbed, miles walked, active minutes, and even sleep patterns. The data collected and analyzed allow users not just to keep track of their health but also help manage it, particularly through its capability to identify health risk factors. [55]

There is also the case of the Internet, which serves as a repository of information and expert content that can be used to "self-diagnose" instead of going to their doctor. For instance, one need only enumerate symptoms as search parameters at Google and the search engine could identify the illness from the list of contents uploaded to the World Wide Web, particularly those provided by expert/medical sources. These advances may eventually have some effect on doctor visits from patients [56] and change the role of the health professionals from "gatekeeper to secondary care to facilitator of information interpretation and decision-making." [57] Apart from basic services provided by Google in Search, there are also companies such as WebMD that already offer dedicated symptom-checking apps. [58]

Technology testing

All medical equipment introduced commercially must meet both United States and international regulations. The devices are tested on their material, effects on the human body, all components including devices that have other devices included with them, and the mechanical aspects. [59]

The Medical Device User Fee and Modernization Act of 2002 was created to speed up the FDA's approval process of medical technology by introducing sponsor user fees for a faster review time with predetermined performance targets for review time. [60] In addition, 36 devices and apps were approved by the FDA in 2016. [61]

Careers

There are numerous careers in health technology in the US. Listed below are some job titles and average salaries.

Allied professions

The term medical technology may also refer to the duties performed by clinical laboratory professionals or medical technologists in various settings within the public and private sectors. The work of these professionals encompasses clinical applications of chemistry, genetics, hematology, immunohematology (blood banking), immunology, microbiology, serology, urinalysis, and miscellaneous body fluid analysis. Depending on location, educational level, and certifying body, these professionals may be referred to as biomedical scientists, medical laboratory scientists (MLS), medical technologists (MT), medical laboratory technologists and medical laboratory technicians. [64]

Related Research Articles

<span class="mw-page-title-main">Health informatics</span> Computational approaches to health care

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.

Medical privacy, or health privacy, is the practice of maintaining the security and confidentiality of patient records. It involves both the conversational discretion of health care providers and the security of medical records. The terms can also refer to the physical privacy of patients from other patients and providers while in a medical facility, and to modesty in medical settings. Modern concerns include the degree of disclosure to insurance companies, employers, and other third parties. The advent of electronic medical records (EMR) and patient care management systems (PCMS) have raised new concerns about privacy, balanced with efforts to reduce duplication of services and medical errors.

<span class="mw-page-title-main">Electronic health record</span> Digital collection of patient and population electronically stored health information

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.

<span class="mw-page-title-main">Telehealth</span> Health care by telecommunication

Telehealth is the distribution of health-related services and information via electronic information and telecommunication technologies. It allows long-distance patient and clinician contact, care, advice, reminders, education, intervention, monitoring, and remote admissions. Telemedicine is sometimes used as a synonym, or is used in a more limited sense to describe remote clinical services, such as diagnosis and monitoring. When rural settings, lack of transport, a lack of mobility, conditions due to outbreaks, epidemics or pandemics, decreased funding, or a lack of staff restrict access to care, telehealth may bridge the gap as well as provide distance-learning; meetings, supervision, and presentations between practitioners; online information and health data management and healthcare system integration. Telehealth could include two clinicians discussing a case over video conference; a robotic surgery occurring through remote access; physical therapy done via digital monitoring instruments, live feed and application combinations; tests being forwarded between facilities for interpretation by a higher specialist; home monitoring through continuous sending of patient health data; client to practitioner online conference; or even videophone interpretation during a consult.

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.

Home automation for the elderly and disabled focuses on making it possible for older adults and people with disabilities to remain at home, safe and comfortable. Home automation is becoming a viable option for older adults and people with disabilities who would prefer to stay in the comfort of their homes rather than move to a healthcare facility. This field uses much of the same technology and equipment as home automation for security, entertainment, and energy conservation but tailors it towards old people and people with disabilities.

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.

Imaging informatics, also known as radiology informatics or medical imaging informatics, is a subspecialty of biomedical informatics that aims to improve the efficiency, accuracy, usability and reliability of medical imaging services within the healthcare enterprise. It is devoted to the study of how information about and contained within medical images is retrieved, analyzed, enhanced, and exchanged throughout the medical enterprise.

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.

Connected health is a socio-technical model for healthcare management and delivery by using technology to provide healthcare services remotely. Connected health, also known as technology enabled care (TEC) aims to maximize healthcare resources and provide increased, flexible opportunities for consumers to engage with clinicians and better self-manage their care. It uses readily available consumer technologies to deliver patient care outside of the hospital or doctor's office. Connected health encompasses programs in telehealth, remote care and disease and lifestyle management, often leverages existing technologies such as connected devices using cellular networks and is associated with efforts to improve chronic care. However, there is an increasing blur between software capabilities and healthcare needs whereby technologists are now providing the solutions to support consumer wellness and provide the connectivity between patient data, information and decisions. This calls for new techniques to guide Connected Health solutions such as "design thinking" to support software developers in clearly identifying healthcare requirements, and extend and enrich traditional software requirements gathering techniques.

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 Health Information Technology for Economic and Clinical Health Act, abbreviated the HITECH Act, was enacted under Title XIII of the American Recovery and Reinvestment Act of 2009. Under the HITECH Act, the United States Department of Health and Human Services resolved to spend $25.9 billion to promote and expand the adoption of health information technology. The Washington Post reported the inclusion of "as much as $36.5 billion in spending to create a nationwide network of electronic health records." At the time it was enacted, it was considered "the most important piece of health care legislation to be passed in the last 20 to 30 years" and the "foundation for health care reform."

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.

<span class="mw-page-title-main">Medical image sharing</span> Electronic exchange of medical images

Medical image sharing is the electronic exchange of medical images between hospitals, physicians and patients. Rather than using traditional media, such as a CD or DVD, and either shipping it out or having patients carry it with them, technology now allows for the sharing of these images using the cloud. The primary format for images is DICOM. Typically, non-image data such as reports may be attached in standard formats like PDF during the sending process. Additionally, there are standards in the industry, such as IHE Cross Enterprise Document Sharing for Imaging (XDS-I), for managing the sharing of documents between healthcare enterprises. A typical architecture involved in setup is a locally installed server, which sits behind the firewall, allowing secure transmissions with outside facilities. In 2009, the Radiological Society of North America launched the "Image Share" project, with the goal of giving patients control of their imaging histories by allowing them to manage these records as they would online banking or shopping.

The National Electronic Health Transition Authority (NEHTA) was established in July 2005 as a joint enterprise between the Australian Government and state and territory governments to identify, and develop the necessary foundations for electronic health (eHealth).

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.

<span class="mw-page-title-main">Artificial intelligence in healthcare</span> Overview of the use of artificial intelligence in healthcare

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.

<span class="mw-page-title-main">Artificial intelligence of things</span>

The Artificial Intelligence of Things (AIoT) is the combination of artificial intelligence (AI) technologies with the Internet of things (IoT) infrastructure to achieve more efficient IoT operations, improve human-machine interactions and enhance data management and analytics.

References

  1. ↑ "Technology, Health". World Health Organization. Archived from the original on August 23, 2004. Retrieved 20 March 2015.
  2. ↑ INAHTA (International Network of Agencies for Health Technology Assessment). (8 June 2009). "HTA glossary". INAHTA. Archived from the original on 26 May 2009.
  3. ↑ Ubokudom, Sunday (2012). United States Health Care Policymaking: Ideological, Social and Cultural Differences and Major Influences. New York: Springer Science+Business Media, LLC. p. 109. ISBN   9781461431688.
  4. 1 2 3 4 5 Wachter, Robert (2015). The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine's Computer Age. New York, NY: McGraw Hill Education. ISBN   978-0-07-184946-3.
  5. 1 2 Thimbleby, Harold (1 December 2013). "Technology and the Future of Healthcare". Journal of Public Health Research. 2 (3): e28. doi:10.4081/jphr.2013.e28. PMC   4147743 . PMID   25170499.
  6. ↑ O'Harrow Jr., Robert (16 May 2009). "The Machinery Behind Health-Care Reform". The Washington Post.
  7. 1 2 3 4 5 "Introduction | Meaningful Use | CDC". www.cdc.gov at the Internet Archive. 6 May 2024. Retrieved 3 February 2021.
  8. 1 2 Cheung, Cynthia; Bietz, Matthew J.; Patrick, Kevin; Bloss, Cinnamon S. (10 November 2016). "Privacy Attitudes among Early Adopters of Emerging Health Technologies". PLOS ONE. 11 (11): e0166389. Bibcode:2016PLoSO..1166389C. doi: 10.1371/journal.pone.0166389 . ISSN   1932-6203. PMC   5104519 . PMID   27832194.
  9. 1 2 Albuquerque, Silas L.; Gondim, Paulo R.L. (May 2016). "Security in Cloud-Computing-Based Mobile Health". IT Professional. 18 (3): 37–44. doi:10.1109/MITP.2016.51. ISSN   1520-9202. S2CID   39694764.
  10. ↑ Marvin, Kevin (2017). "Health Information Technology: Integration, Patient Empowerment, and Security". American Journal of Health-System Pharmacy. 74 (2): 36–38. ISSN   1079-2082.
  11. ↑ Kruse, Clemens Scott; Frederick, Benjamin; Jacobson, Taylor; Monticone, D. Kyle (1 January 2017). "Cybersecurity in healthcare: A systematic review of modern threats and trends". Technology and Health Care. 25 (1): 1–10. doi: 10.3233/thc-161263 . ISSN   0928-7329. PMID   27689562.
  12. ↑ Turner Smith, Tanshanika (2016). "Examining Data Privacy Breaches in Healthcare". Walden University Scholar Works.
  13. 1 2 Rights (OCR), Office for Civil (20 November 2009). "Summary of the HIPAA Security Rule". HHS.gov. Retrieved 19 November 2019.
  14. 1 2 3 Rights (OCR), Office for Civil (10 September 2009). "The Security Rule". HHS.gov. Retrieved 19 November 2019.
  15. ↑ Garrido, Marcial; Kristensen, Finn; Nielsen, Camilla; Busse, Reinhard (2008). Health Technology Assessment and Health Policy-making in Europe: Current Status, Challenges and Potential. Copenhagen: World Health Organization. p. 80. ISBN   9789289042932.
  16. 1 2 World Bank (1995). Chile: The Adult Health Policy Challenge. Washington, D.C.: World Bank Publications. p. 112. ISBN   0821332244.
  17. 1 2 Schlander, Michael (2007). Health Technology Assessments by the National Institute for Health and Clinical Excellence: A Qualitative Study. New York: Springer Science+Business Media. p. 173. ISBN   9780387719955.
  18. 1 2 3 Patel, Kant; Rushefsky, Mark (2014). Healthcare Politics and Policy in America: 2014. Oxon: Routledge. p. 320. ISBN   9780765626042.
  19. ↑ Chadwick, Ruth (2001). The Concise Encyclopedia of the Ethics of New Technologies . San Diego, CA: Academic Press. pp.  243. ISBN   0121663558.
  20. ↑ Callahan, Daniel (2012). The Roots of Bioethics: Health, Progress, Technology, Death. New York: Oxford University Press. p. 212. ISBN   9780199931378.
  21. ↑ ADVAMED (Advanced Medical Technology Association). (7 January 2009). "What is called by Medical Technology?". ADVAMED. Archived from the original on 7 January 2009.
  22. ↑ The Changing Economics of Medical Technology.
  23. ↑ Richard S. Mathis (30 April 2010). "The Impacts of Innovation". Science. 328 (5978): 570. Bibcode:2010Sci...328..570M. doi:10.1126/science.1188655. S2CID   178803829.
  24. ↑ "What is driving the growth of medtech in the UK?". Hot Topics. 28 August 2015. Retrieved 10 November 2015.
  25. ↑ "What is Health Tech and how will it evolve?". Hot Topics. 30 June 2016. Retrieved 5 July 2016.
  26. ↑ Bajwa, Mohammad (31 May 2014). "Emerging 21st Century Medical Technologies". Pakistan Journal of Medical Sciences. 30 (3): 649–655. doi:10.12669/pjms.303.5211. PMC   4048524 . PMID   24948997.
  27. ↑ "New metamaterial can improve MRI quality and reduce scan time". USA Boston University . 1 June 2019.
  28. ↑ "IQ-AI files patent for non-toxic MRI scan technology". USA Proactive . 1 October 2018.
  29. ↑ Jacobson, Lewis E.; Olayan, May; Williams, Jamie M.; Schultz, Jacqueline F.; Wise, Hannah M.; Singh, Amandeep; Saxe, Jonathan M.; Benjamin, Richard; Emery, Marie; Vilem, Hilary; Kirby, Donald F. (2019). "Feasibility and safety of a novel electromagnetic device for small-bore feeding tube placement". Trauma Surgery & Acute Care Open. 4 (1): e000330. doi:10.1136/tsaco-2019-000330. PMC   6861064 . PMID   31799414.
  30. 1 2 3 4 5 6 Huotilainen, Eero; Paloheimo, Markku; et al. (2014). "Imaging requirements for medical applications of additive manufacturing". Acta Radiologica. 55 (1). SAGE Publications: 78–85. doi:10.1177/0284185113494198. ISSN   0284-1851. PMID   23901144. S2CID   25611398.
  31. ↑ PWC (2017). "What doctor? Why AI and robotics will define New Health" (PDF). PWC.
  32. ↑ "Understanding the advantages and risks of AI usage in healthcare". Thomson Reuters Institute. 2023-09-27. Retrieved 2024-04-27.
  33. ↑ eHealth Initiative.org. "Artificial Intelligence in Healthcare" (PDF). Cerner.
  34. ↑ Grech, Victor; Cuschieri, Sarah; Eldawlatly, AbdelazeemA (2023). "Artificial intelligence in medicine and research – the good, the bad, and the ugly". Saudi Journal of Anaesthesia. 17 (3): 401. doi: 10.4103/sja.sja_344_23 . ISSN   1658-354X. PMID   37601525.
  35. ↑ khan, Bangul; Fatima, Hajira; Qureshi, Ayatullah; Kumar, Sanjay; Hanan, Abdul; Hussain, Jawad; Abdullah, Saad (September 2023). "Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector". Biomedical Materials & Devices. 1 (2): 731–738. doi:10.1007/s44174-023-00063-2. ISSN   2731-4812. PMC   9908503 . PMID   36785697.
  36. ↑ Christian, Brian (2020). The Alignment Problem: Machine learning and human values. W. W. Norton & Company. p. 110. ISBN   978-0-393-86833-3.
  37. 1 2 Joynson; Berg; Ahmed (May 2018). "Artificial intelligence (AI) in healthcare and research" (PDF). Nuffield Bioethics Organization.
  38. ↑ Sample, Ian (2023-09-21). "Team behind AI program AlphaFold win Lasker science prize". The Guardian. ISSN   0261-3077 . Retrieved 2024-04-27.
  39. ↑ Reportlinker. "Virtual Patient Simulation Market Analysis and Trends- Technology (Haptic Technology,3 Dimensional Technology and Virtual Reality Technology), Product – Forecast to 2025". www.prnewswire.com. Retrieved 6 April 2018.
  40. 1 2 3 4 5 Kaul, Navneeta (24 April 2018). "Could a robot replace your doctor in the near future? - PreScouter - Custom Intelligence from a Global Network of Experts". PreScouter. Retrieved 19 November 2019.
  41. ↑ Nierling; Maia; Čas; Capari; Krieger-Lamina; Bratan; Wolbring; Fischer; Hennen; Mordini (January 2018). "Assistive technologies for people with disabilities" (PDF). European Parliamentary Research Service. doi:10.2861/11162. ISBN   9789284623570.
  42. ↑ Ko, Dong-Gil; Mai, Feng; Shan, Zhe; Zhang, Dawei (1 June 2019). "Operational efficiency and patient-centered health care: A view from online physician reviews". Journal of Operations Management. 65 (4): 353–379. doi:10.1002/joom.1028. ISSN   0272-6963. S2CID   159133462.
  43. ↑ Lagu, Tara; Metayer, Katherine; Moran, Michael; Ortiz, Leidy; Priya, Aruna; Goff, Sarah L.; Lindenauer, Peter K. (21 February 2017). "Website Characteristics and Physician Reviews on Commercial Physician-Rating Websites". JAMA. 317 (7): 766–768. doi:10.1001/jama.2016.18553. ISSN   0098-7484. PMC   5330184 . PMID   28241346.
  44. ↑ Chowdhury, Aninda (24 March 2017). "What Are The Top Doctor Rating and Review Sites?". Doctible. Retrieved 15 June 2019.
  45. ↑ O'Donnell, Jayne. "Doctors, hospitals sue patients who post negative comments, reviews on social media". USA TODAY. Retrieved 15 June 2019.
  46. ↑ Reed, Tina (2018-08-02). "WebMD acquires provider search tool Vitals.com, MediQuality.com". Fierce Healthcare. Retrieved 2022-12-18.
  47. ↑ "Find and compare information about Hospitals | Hospital Compare". www.medicare.gov. Retrieved 15 June 2019.
  48. ↑ Barclay, Matthew; Dixon-Woods, Mary; Lyratzopoulos, Georgios (1 April 2019). "The problem with composite indicators". BMJ Quality & Safety. 28 (4): 338–344. doi:10.1136/bmjqs-2018-007798. ISSN   2044-5423. PMC   6559782 . PMID   30100565.
  49. ↑ Ziegenhagen, Dieter J.; Frye, Christian; Kottmair, Stefan (2005). "[Patient-oriented healthcare programs. Concepts and practical experience in the field of chronic heart failure]". Zeitschrift für ärztliche Fortbildung und Qualitätssicherung. 99 (3): 209–215. ISSN   1431-7621. PMID   15999585.
  50. 1 2 "U.S. Medical Regulatory Trends and Actions" (PDF). Federation of State Medical Boards.
  51. 1 2 mHealthIntelligence (31 July 2018). "California Medical Board Creates a Mobile App for Doctor Discipline". mHealthIntelligence. Retrieved 15 June 2019.
  52. ↑ "Medical Board of California Public Disclosure Information" (PDF). Medical Board of California.
  53. ↑ "Going high profile: Medical boards push transparency - amednews.com". amednews.com. 12 August 2008. Retrieved 15 June 2019.
  54. 1 2 "Disclosure of malpractice payment, other physician information grows by state". DermatologyTimes.
  55. ↑ Information Resources Management Association (2017). Healthcare Ethics and Training: Concepts, Methodologies, Tools, and Applications. Hershey, PA: IGI Global. p. 482. ISBN   9781522522379.
  56. ↑ "A revolution in health care is coming". The Economist. February 2018. Retrieved 5 February 2018.
  57. ↑ Tettegah, Sharon; Garcia, Yolanda Evie (2016). Emotions, Technology, and Health. London: Academic Press. p. 48. ISBN   9780128017371.
  58. ↑ "Google will help your self-diagnosis with new symptom search". The Verge. 20 June 2016. Retrieved 24 October 2018.
  59. ↑ Dooley, J.; Kopia, G. (2014). "27". Role of the Study Director in Nonclinical Studies: Pharmaceutical, Chemicals, Medical Devices, and Pesticides.
  60. ↑ "Effects of the Medical Device User Fee and Modernization Act on FDA Review Times for Medical Devices". Mercatus Center. 4 April 2016. Retrieved 6 April 2018.
  61. ↑ Qahwaji, Rami (2018). Data-Driven Healthcare. London: Institution of Engineering and Technology.
  62. 1 2 3 4 "What Health Technologist and Technician Careers Are There?". The Balance. Retrieved 1 March 2018.
  63. ↑ "Medical and Clinical Laboratory Technologists and Technicians : Occupational Outlook Handbook: : U.S. Bureau of Labor Statistics".
  64. ↑ "Medical Technology".
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