What is the type of health record that is created and maintained by the patient?

Given the substantial shared pool of information from which the AIMS and the enterprise EHR may draw on and contribute to, it is not surprising that these systems have become integrated at many institutions into a single system. It is important to note that this increases the complexity of the EHR. For organizations where the IT support for an OR or anesthesia information system was supported and maintained through an anesthesia or surgery department relationship, the migration to an enterprise EHR will result in these duties being transferred to the hospital or enterprise-wide support group. This may reduce the customizability of these systems as changes and alterations now become handled by groups with broader responsibilities and competing priorities.

An emerging feature of EHRs, which fulfills an early promise of their utility, is meaningful transmission of data from different EHR platforms across institutions. Typically, each institution maintains an EHR that is unique to that institution. As smaller medical practices have aggregated into larger health systems, providers come under the same umbrella EHR system. This has allowed records from more health interactions to be available in a single location; a satellite clinic in a physically separate location may use a health–systemwide common EHR for documentation, making it available to the anesthesiologist who sees the patient presenting for surgery at main campus. However, when a patient presents to a nonaffiliated practice or hospital, documentation from the other institutions are unavailable and have to be obtained as printed paper, or communicated by the patient manually.

To address this issue, healthcare information exchanges (HIE) have been developed. These exchanges facilitate the transfer of health information between multiple distinct healthcare system’s EHRs. This can occur in a directed way: a user at one facility chooses to send imaging data to another and uses the EHR’s HIE user interface to discover records available via the HIE. These come in multiple forms but are typically based on a geographic (i.e., at the state or regional level) or a shared EHR platform (i.e., EPIC Systems Care Everywhere functionality).

In order to function, HIEs must be able to correctly match the same patient across different hospitals or clinics. Failures of this process (both incorrectly matching two patients across institutions or failing to match the correct patient across institutions) could have potential for catastrophic consequences in clinical care. Matching must consider different identifiers used at each hospital; a medical record or registration number is usually unique to the institution so is not suitable for this task. Additionally, unique identification assigned for other reasons—such as social security numbers—may not be suitable for this task as their use may shift over time and the accuracy may not match the level of confidence required for medical care. Furthermore, social security numbers may pose risk to patient privacy as they are connected to multiple other datasets including financial records.

Management of patient healthcare information

Pramod David Jacob, in Fundamentals of Telemedicine and Telehealth, 2020

Clinical decision support system

EHRs should be used to arrive at the patient’s diagnosis and treatment plan. However, often, the chart of a patient with multiple conditions is so detailed that healthcare provider does not even have the time to review it in its entirety. This problem is further compounded when the patient has visited several providers for his care. A simple EHR will store all information; an intelligent one will highlight and show the important portions.

However, a warning is required here. What may be deemed as important for one user may be the reverse for another. A well-functioning clinical decision support system takes into account the patients’ information and indicates the best course of action based on current guidelines. Thus analytics can serve to reduce the time needed by the provider to arrive at the treatment plan. However, for this to work, it is essential that the algorithms that run behind the CDSSs run as per current clinical judgment and guidelines. The reason why a certain course is recommended should be transparent (and NOT a black box). Furthermore, these need to be updated as guidelines and opinions change. These sticky points are often the reason behind mistrust in CDSS among physicians.

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General Considerations of Anesthesia and Management of the Difficult Airway

Paul W. Flint MD, FACS, in Cummings Otolaryngology: Head and Neck Surgery, 2021

Electronic Health Record

A national electronic health record (EHR) or exchange will provide seamless and immediate access for multiple health care providers to integral parts of a patient's record regardless of where the original record was created or stored. It will solve the problem of disseminating difficult airway information to any health care provider at any time in any location. The American Recovery and Reinvestment Act of 2009 provided funding to support the national implementation of an EHR system. Furthermore, in 2009, the Health Information Technology for Economic and Clinical Health Act was passed to improve the performance of the health care system; this act included support for state initiatives and created a common platform for health information exchange across the country. However, according to the Healthcare Information and Management Systems Society, as of 2013, only 1.8% of hospitals had a complete electronic record.70 At present, the EHR system in the United States cannot satisfy the need for immediate national or international access to and dissemination of patients’ difficult airway information.

Until an EHR-based national difficult airway registry is created, we have opted to use a national and international difficult airway information system that is already fully functional to support difficult airway patient management after discharge: the MedicAlert Foundation. This 501(c)3 nonprofit organization, founded in 1956, is the foremost national and international emergency medical information system, with 4 million members worldwide. In 1992, the National Difficult Airway/Intubation Registry was created within the MedicAlert Foundation. To our knowledge, it is the only difficult airway/intubation registry operating at a national level in the United States. The phrase “difficult airway/intubation” was adopted as the standard nomenclature to be engraved on MedicAlert identification bracelets, necklaces, and wallet cards. Additional airway management information is maintained in an emergency medical information record, accessible through a 24/7 emergency response service center (Andrew Wigglesworth, President and CEO, MedicAlert Foundation International, personal communication, 2010). The registry's intent is to ensure that difficult airway information is immediately available to emergency responders in the field, and to hospital-based clinicians treating patients with difficult airways. The mission of National Difficult Airway/Intubation Registry garnered support from the ASA in 1979, the World Federation of Societies of Anaesthesiologists in 1992, the American Academy of Otolaryngology–Head and Neck Surgery Foundation in 1993 (Dr. Charles Cummings), and the Society for Airway Management (SAM) in 1995.

In 2015, MedicAlert reported that over 12,000 patients were enrolled in the National Difficult Airway/Intubation Registry.6 A 2010 survey of over 700 registry members found that 11.2% had had another episode of care in which difficult airway/intubation was a factor (Andrew Wigglesworth, President and CEO, Medic­Alert Foundation International, personal communication, 2010). This percentage highlights the need for difficult airway patients to have 24/7 access to information about previous successful and unsuccessful airway management techniques that will improve the chances of a positive outcome and decrease the number of unsuccessful intubation attempts associated with an increased rate of complications.3

Information technology and patient protection

Claude J. Pirtle, Jesse M. Ehrenfeld, in Precision Medicine for Investigators, Practitioners and Providers, 2020

The electronic health record timeline and a promise

EHRs were initially developed and used at academic centers in the early to mid-1960s. Most of the academic institutions with these electronic records developed and maintained the platforms themselves. An early example would be the Massachusetts General Hospital’s Computer Stored Ambulatory Record (COSTAR), which came online in the late 1960s. COSTAR was a set of modules that allowed the scheduling and registration of patients, clinical information storage, among other functionality that we take for granted in today’s electronic medical records [8]. The U.S. Department of Veterans Affairs began using an EHR in the 1970s, across the Veteran Health System (VHA), allowing it unrestricted access to any veteran’s records in the system [9]. Epic was founded in 1979 [10] and also Cerner Systems in 1979 [11]. These two industry juggernauts combined make up almost 50% of the hospital electronic medical records market in the United States, according to the Office of the National Coordinator [12].

In 2008, less than 10% of the hospitals in the United States had an electronic health record [1]. The HITECH Act was a portion of the American Recovery and Reinvestment Act, which totaled 787 billion dollars [13]. The Act formally propelled the adoption of EHRs by healthcare practices by introduced legislation. Of the money allocated, 18 billion dollars was earmarked to allow the Centers for Medicare and Medicaid Services (CMS) to incentivize the transition to, and meaningful use of EHRs, with the goal of increasing structured data, improving the efficiency and quality of care allotted, improve population health, privacy, and security protection of patient health information (PHI) [14].

CMS and the Office of the National Coordinator (ONC) have established standards for electronic health records. Being a Certified EHR Technology (CEHRT) allows the purchaser of that product and the end-users, to understand that the said product meets a defined standard, and contains a certain technological capability and functionality [15]. The HITECH Act was integral in framing the creation of the Certified EHR Technology rule.

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Digital technology in plastic surgery

Geoffrey C. Gurtner MD, FACS, in Plastic Surgery: Volume 1: Principles, 2018

Choosing an electronic health record (EHR)

The Health Information Technology for Economic and Clinical Health (HITECH) Act, enacted as part of the American Recovery and Reinvestment Act of 2009, was signed into law on February 17, 2009. Starting in 2011, eligible professionals could receive incentive payments up to a total of 5 years if they could demonstrate “meaningful use” of certified electronic health records (EHRs). Providers faced up to 5% penalties if they did not demonstrate meaningful use beginning in 2015. As a result, adoption of electronic health records increased during this time.30–34 Even plastic surgeons who do not treat many Medicare patients have increasingly adopted electronic health records and practice management software. The EHR market continues to evolve. The market is anticipated to consolidate, as rules, regulations and functionality demands increase in this space. However, many EHRs were designed with the primary care physician in mind and thus can be lacking in key features desired or required by the average plastic surgeon. In addition, many programs require a significant upfront investment of both time and money. Physicians and office staff may experience challenges in implementation and training with new EHR systems, sometimes with a considerably steep learning curve, requiring significant allocation of staffing time before the EHR is fully operational for the office's needs. Thus, the choice of EHR can be crucial. Below are some key considerations regarding the EHR itself that should be taken into account when choosing an EHR system.

Certification

Determining whether the chosen EHR is certified by the ONC (Office of the National Coordinator of Health Information Technology) is important, especially if the plastic surgeon is planning on participating in certain government incentive programs. Certification is meant to assure that the EHR system offers the capability, functionality and security to meet the Meaningful Use (MU) criteria established by the Centers for Medicare and Medicaid Services (CMS).35 The Meaningful Use program is in the third of three “stages” of implementation along an 11-year timeline (culminating in the final Medicaid incentive payments being slated for 2021), with penalties to be levied against practices which see significant Medicare or Medicaid volume and fail to demonstrate compliance with MU. Certification provides one level of reassurance that the EHR system allows entry of data necessary to achieve MU compliance and is a toolkit for submission of reports to CMS for validation and incentive processing. For plastic surgeons not interested in participating in the Meaningful Use program, certification may provide some level of assurance that the program meets certain standards of functionality, security, and interoperability, and probably is more likely to survive consolidation than other non-certified programs.

Server on site or off site or subscription model (SAAS – Software As A Service)

Sensitivity analyses in pragmatic randomized clinical trials

Elizabeth A. Suarez, Cynthia J. Girman, in Pragmatic Randomized Clinical Trials, 2021

Combining secondary data sources with primary data collection

EHR or administrative claims data sources may be lacking the data needed to comprehensively address specific research questions, allow adequate adjustment for confounding, and perform sensitivity analyses. An increasingly popular approach is to use the electronic data to the extent possible and supplement with primary data collection. This often includes data needed to more accurately and validly define outcomes or disease and exposure in pRCTs, and may also include patient reported outcomes (PROs). Such PROs may be targeted to assessing symptoms or the impact of symptoms on health-related quality of life, and are not typically part of routine clinical care. However, PROs may be important in addressing the research question and can be integrated into electronic medical record systems for a seamless approach to data collection in a specific study.

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Data, Analytics, and Information Management for the Office-Based Endovascular Centers

Paramjit “Romi” Chopra MD, in Office-Based Endovascular Centers, 2020

Electronic Medical Records for the Office-Based Center

Electronic Health Record (EHR), also called the Electronic Medical Record (EMR), and often used interchangeably, received it first real validation in an Institute of Medicine's (IOM) report in 1991.5

The EMR has become the core technology and is the center of patient care provided today. Process workflow for patient care is built into the EMR and drives the efficiency and viability of the organization. The information can be accessed from anywhere at anytime and by all the required individuals including the patient. The EMR is intended to meet the triple aim of “Quality, Safety, and Efficiency.” The EMR should make running your practice simpler, more efficient, and focused on patient care. EMRs are mandated today, and it is nearly impossible to function without one.

Hundreds of EMR systems are available on the market, and choosing one is not an easy task. Once chosen, the proper installation and training of the staff to use the software to its maximum potential are critical to its success. Integration of the workflow processes of the practice with the EMR is vital and often leads to frustration, increasing inefficiencies and economic loss within the practice. This is contrary to what was expected. Introduction of EMR in the practice is resulting in early retirement of senior physicians and one of the leading causes of physician burnout.

Choosing an EMR for your OEC

To begin with, start by seeking a vendor and software that is suited to and has been established within your specialty and the OEC. It may be better to choose a cardiovascular or specialty-specific EMR based on the size of the practice and specialty. However, it becomes very important that EMR is capable of managing data from other procedures as they are added. For example, interventional radiologists, vascular surgeons, interventional cardiologist have expanded into performing uterine fibroid embolization, spine procedures, embolization for cancer treatment, etc. Ideally in today's world, EMR should be housed in the “cloud” as software as a service allowing you to access your system from anywhere and at any time. The EMR must be secure (meet all HIPPA requirements), connect with other systems while being economical and scalable.

The process starts with the documentation of care provided, and the software must allow for intuitive charting. Several Artificial Intelligence (machine learning and deep learning) systems are now enabling voice to interact with your EMR to document the encounter. EMRs have a practice management component which should help you manage business side of the practice. This deals with patient scheduling, nonclinical interactions with the patients, billing and coding, etc. EMR and the practice management component should work seamlessly.

Almost all systems should enable you to e-prescribe and help you meet regulatory requirements such as Medicare Access and CHIP Reauthorization Act of 2015 (MACRA).6 They must permit you to easily order labs and imaging studies and connect seamlessly with your PACS system. It is also important to have a patient portal so that the patient can have access to their health data and have ability to communicate with the physician and the office staff for relevant clinical issues.

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Data mining to transform clinical and translational research findings into precision health

Estela S. Estapé, ... Linda Laras, in Artificial Intelligence in Precision Health, 2020

Data model to knowledge model

EHRs in their most basic definition are databases; data collected and organized into a data model using a set or sets of labels and relationships between individual datum. How these data are interpreted requires specific knowledge about the how the concepts held in the database may be related to one another (e.g., for an arterial blood test for pH, a rule such as ‘if the pH is > 7.4, then …’). Such clinical rules are often designed on medical standards of care, but similar rules can be constructed for length of patient stay, frequency of visits to the emergency department, number of cigarettes smoked daily, etc. To make the contents of the database (and its data model) meaningful, a knowledge model or ontology needs to be applied to it. Commonly, the definition of an ontology is that it is a set of concepts used in defining a knowledge base, and how these concepts are meaningfully arranged.

What is a health record type?

There are three types of medical records commonly used by patients and doctors: Personal health record (PHR) Electronic medical record (EMR) Electronic health record (EHR)

What is a medical record of a patient?

A medical record is a history of someone's health. Most hospitals and doctor's offices use electronic health records (EHRs, also called electronic medical records or EMRs). An EHR is a computerized collection of a patient's health records.

Which type of health record contains information about the means by which the patient arrived?

WGU BDV1 Mod 4 Health Data Management across the continuum (AHIMA C2V3).

What are the two types of content of the health record?

The health record generally contains two types of data: clinical and administrative. Clinical data document the patient's medical condition, diagnosis, and treatment as well as the healthcare services provided.