Electronic medical records | Wikipedia audio article
Channel: wikipedia tts
Date: 19/01/2019

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Electronic_health_record


00:02:09 1 Terminology
00:03:05 2 Comparison with paper-based records
00:04:55 3 Emergency medical services (pre-hospital care)
00:06:28 4 Technical features
00:08:27 5 Philosophical views of the EHR
00:09:32 6 Implementation, end user and patient considerations
00:09:45 6.1 Quality
00:10:47 6.2 Costs
00:12:50 6.3 Time
00:13:21 6.4 Software quality and usability deficiencies
00:15:39 6.5 Hardware and workflow considerations
00:17:00 6.6 Unintended consequences
00:21:04 7 Governance, privacy and legal issues
00:21:15 7.1 Privacy concerns
00:23:40 7.2 Legal issues
00:23:50 7.2.1 Liability
00:26:38 7.2.2 Legal interoperability
00:27:19 8 Contribution under UN administration and accredited organizations
00:28:22 9 Medical data breach
00:29:57 9.1 Breach notification
00:31:11 10 Technical issues
00:31:21 10.1 Standards
00:33:27 10.1.1 Open specifications
00:34:09 10.1.2 Common Data Model (in health data context)
00:35:40 10.1.3 Customization
00:37:25 10.2 Long-term preservation and storage of records
00:41:01 10.3 Synchronization of records
00:41:58 11 eHealth and teleradiology
00:43:21 12 European Union: Directive 2011/24/EU on patients' rights in cross-border healthcare
00:44:49 13 In veterinary medicine
00:46:10 14 Turing test



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SUMMARY
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An  electronic health record (EHR), or electronic medical record (EMR), 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.A decade ago, electronic health records (EHRs) were touted as key to increasing of quality care. Today, providers are using data from patient records to improve quality outcomes through their care management programs. Combining multiple types of clinical data from the system's health records has helped clinicians identify and stratify chronically ill patients. EHR can improve quality care by using the data and analytics to prevent hospitalizations among high-risk patients.
EHR systems are designed to store data accurately and to capture the state of a patient across time. It eliminates the need to track down a patient's previous paper medical records and assists in ensuring data is accurate and legible. It can reduce risk of data replication as there is only one modifiable file, which means the file is more likely up to date, and decreases risk of lost paperwork. Due to the digital information being searchable and in a single file, EMRs are more effective when extracting medical data for the examination of possible trends and long term changes in a patient. Population-based studies of medical records may also be facilitated by the widespread adoption of EHRs and EMRs.