Introduction to Healthcare Informatics, Second Edition
Chapter 3:
The Electronic Health Record
© 2017 American Health Information Management Association
© 2017 American Health Information Management Association
Objectives
Review the evolution in the development of the electronic health record
Articulate the issues surrounding the deployment and implementation of the electronic health record
Compare the differences in electronic health record systems
Describe HITECH funding
Compare the advantages and disadvantages of the electronic health record
Consider the current status and documented outcomes of EHR utilization
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Introduction
Electronic health record (EHR)
Paper medical record
Episode of care
Differences between paper and electronic health records
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History
Health information systems
Clinical information systems
CPOE
Clinical decision making
Evidence-based medicine
E-prescribing
Health and Medicine Division (HMD)
ONC
ARRA
HITECH
Meaningful Use (MU)
Regional Extension Centers
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Percent of Hospitals with EHR
Hospital EHR adoption | Percent of hospitals with an EHR | |||||||
2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | |
All hospitals with a basic EHR* | 9% | 12% | 16% | 28% | 44% | 59% | 76% | 84% |
All small hospitals with a basic EHR* | 6% | 8% | 11% | 22% | 39% | 53% | 70% | 81% |
All rural hospitals with a basic EHR* | 6% | 8% | 11% | 22% | 36% | 53% | 70% | 80% |
All critical access hospitals with a basic EHR* | 4% | 7% | 10% | 20% | 35% | 54% | 68% | 80% |
All hospitals with a certified EHR | -- | -- | -- | 72% | 85% | 94% | 97% | 96% |
*Basic EHR with clinician notes |
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Components of the EHR
Integrated applications
EHR concept overview
CEHRT
Clinical documentation
Supports meaningful use
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© 2017 American Health Information Management Association
Meaningful Use (MU) Criteria
Stage 1 Meaningful use criteria focus on: | Stage 2 Meaningful use criteria focus on: | Stage 3 Meaningful use criteria focus on: |
Electronically capturing health information in a standardized format | More rigorous health information exchange (HIE) | Improving quality, safety, and efficiency, leading to improved health outcomes |
Using that information to track key clinical conditions | Increased requirements for e-prescribing and incorporating lab results | Decision support for national high-priority conditions |
Communicating that information for care coordination processes | Electronic transmission of patient care summaries across multiple settings | Patient access to self-management tools |
Initiating the reporting of clinical quality measures and public health information | More patient-controlled data | Access to comprehensive patient data through patient-centered HIE |
Using information to engage patients and their families in their care | Improving population health |
© 2017 American Health Information Management Association
Stage of Meaningful Use (MU) by 1st Year
First Year Demonstrating M U | Stage of Meaningful Use | ||||
2015 | 2016 | 2017 | 2018 | 2019 and Future Years | |
2011 | Modified Stage 2 | Modified Stage 2 | Modified Stage 2 or 3 | Stage 3 | Stage 3 |
2012 | Modified Stage 2 | Modified Stage 2 | Modified Stage 2 or 3 | Stage 3 | Stage 3 |
2013 | Modified Stage 2 | Modified Stage 2 | Modified Stage 2 or 3 | Stage 3 | Stage 3 |
2014 | Modified Stage 2 | Modified Stage 2 | Modified Stage 2 or 3 | Stage 3 | Stage 3 |
2015 | Modified Stage 2 | Modified Stage 2 | Modified Stage 2 or 3 | Stage 3 | Stage 3 |
2016 | NA | Modified Stage 2 | Modified Stage 2 or 3 | Stage 3 | Stage 3 |
2017 | NA | NA | Modified Stage 2 or 3 | Stage 3 | Stage 3 |
2018 | NA | NA | NA | Stage 3 | Stage 3 |
2019 and Future Years | NA | NA | NA | NA | Stage 3 |
© 2017 American Health Information Management Association
Primary and Secondary Uses of EHR System
Primary uses | Secondary uses |
Patient care delivery | Education |
Patient care management | Regulation |
Patient care support processes | Research |
Financial and other administrative processes | Public health policy and homeland security |
Patient self-management | Policy support |
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Core Functionality
Health information and data
Results management
Order entry/management
Decision support
Electronic communication and connectivity
Patient support
Administrative processes and reporting
Reporting and population health
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Clinical Function Examples in EHR
Health information and data
Patient demographic information
Patient problem list
Patient medication lists
Clinical notes
Minimum data set
Notes including medical history and follow-up notes
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Clinical Function Examples in EHR (continued)
Results management
Viewing lab results
Viewing imaging results
Electronic images are returned
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Clinical Function Examples in EHR (continued)
Order entry management
Computerized orders for prescription
Computerized orders for labs
Computerized orders for radiology
Orders sent electronically for prescriptions
Orders sent electronically for labs
Orders sent electronically for radiology
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Clinical Function Examples in EHR (continued)
Decision support
Warnings of drug interactions or contraindications are returned
Out of range lab levels are highlighted
Reminders for guideline-based interventions and screenings
Access to online clinical guidelines
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Clinical Function Examples in EHR (continued)
Electronic communications and connectivity
Electronic health information exchange (eHIE)
Access to shared patient histories
Continuity of Care Document (CCD)
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Clinical Function Examples in EHR (continued)
Patient support
Patient portal to HER
e-mail communication with clinicians
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Clinical Function Examples in EHR (continued)
Administrative processes
Scheduling/appointments
Billing
Inventory
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Clinical Function Examples in EHR (continued)
Reporting and population health management
Disease reports
Disease registries
Quality measured and improvement reports
Patient safety
Immunization information exchange
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Inpatient EHR
Components
Financial and administrative applications
Clinical systems
CPOE
Electronic medical administration records (EMAR)
Clinical data repositories
Clinical decision support
Document imaging
Picture archiving and communication system (PACS)
© 2017 American Health Information Management Association
© 2017 American Health Information Management Association
Sue Biedermann (SB) - The source at the bottom is not what is in the new version of the text. It should be Amatayakul 2013. I can't get this illustration to copy out of my copy of the chapter. Can your please change this or even just remove the citationn from the slide. Thanks.
HIMSS Adoption Model
Stage 0: Hospital has not installed all 3 key ancillary systems (laboratory, pharmacy, and radiology)
Stage 1: All 3 major ancillary clinical systems installed
Stage 2: Major ancillary systems feed data to a clinical data repository (CDR)
Stage 3: Nursing/clinical documentation implemented and integrated with CDR for at least one inpatient service
Stage 4: CPOE added to nursing and CDR environment with 2nd level of clinical decision support capabilities
Stage 5: Closed loop medication administration with bar coded unit dose medications environment fully implemented
Stage 6: Full physician documentation with structured templates and discrete data implemented for at least one inpatient care service area
Stage 7: Hospital no longer uses paper charts to delivery and manage care and has mixture of discrete data, documented images, and medical images within its EMR environment
© 2017 American Health Information Management Association
Adoption levels through 2015
Stage | Cumulative capabilities | 2015 Final (N = 5,460) |
Stage 7 | Complete EMR; CCD transactions to share data; data warehousing; data continuity with ED, ambulatory, OP | 4.2% |
Stage 6 | Physician documentation (structured templates), full CDSS (variance and compliance), full R-PACS | 27.1% |
Stage 5 | Closed loop medication administration | 35.9% |
Stage 4 | CPOE, clinical decision support (clinical protocols) | 10.1% |
Stage 3 | Nursing/clinical documentation (flow sheets), CDSS (error checking), PACS available outside Radiology | 16.4% |
Stage 2 | CDR, controlled medical vocabulary, CDS, may have document imaging; HIE capable | 2.6% |
Stage 1 | Ancillaries—Lab, Radiology, Pharmacy—All installed | 1.7% |
Stage 0 | All three ancillaries not installed | 2.1% |
100.1% |
© 2017 American Health Information Management Association
Ambulatory EHRs
Practice management systems (PMSs)
Complete versus modular
Certified EHRs
HITECH
Meaningful Use
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Long Term Care EHRs
Minimum Data Set (MDS)
Electronic functionality limited
Potential processing changes
Benefits to LTC environment
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Behavioral Healthcare EHR
Inpatient or ambulatory
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Enterprise EHR
Patient health over time
Enterprise integration
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Introduction to Healthcare Informatics, Second Edition
Chapter 2:
Ethics
© 2017 American Health Information Management Association
© 2017 American Health Information Management Association
Objectives
Articulate a definition of ethics
Use basic ethical terms and concepts
Explain the importance of ethical issues related to technology
Analyze ethical issues related to health informatics
Apply the AHIMA Code of Ethics to ethical scenarios
Apply the steps of the ethical decision-making process to a given scenario
Develop policies and procedures for ethics related to informatics
© 2017 American Health Information Management Association
Defining Ethics
Ethics is a field of study that deals with moral principles, theories, and values;
In healthcare, ethics is a formal decision-making process for dealing with the competing perspectives and obligations of the people who have an interest in a common problem
Ethical decision-making is a process where everyone must contemplate others’ perspectives, even if they disagree on the issue
© 2017 American Health Information Management Association
Values and Morals
Morals are the principles of right conduct that an individual adopts
Values are what ethics and morals are based on; the beliefs or standards on which judgment is based
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Ethical Terms
Autonomy: the freedom of an individual to choose their own actions
Beneficence: doing good for others
Nonmaleficence: doing no harm to others
Justice: treating all people fairly
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Legal Influence
HIPAA
HITECH
GINA
HIPAA Omnibus Rule
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Ethical Standards of Practice
Code of Ethics: a statement of ethical principles regarding business practices and professional behavior
Professional obligation to follow
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AHIMA Code of Ethics
Selected principles that address patient information and informatics:
I. Advocate, uphold and defend the individual’s right to privacy and the doctrine of confidentiality in the use and disclosure of information
III. Preserve, protect and secure personal health information in any form or medium and hold in the highest regards health information and other information of a confidential nature obtained in an official capacity, taking into account the applicable statutes and regulations
X. Facilitate interdisciplinary collaboration in situations supporting health information practice (AHIMA 2011)
© 2017 American Health Information Management Association
Policies and Procedures
Operationalize laws and regulations consistent with codes of ethics
Facilitate autonomy, beneficence, and nonmaleficence
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The Ethics Committee
Consultation
Policies and procedures
Educational activities
Clinical and organizational ethical situations
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Potential Ethical Issues
Provisioning of care
Using health information
Protected health information
Electronic health records
Genetics
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Other Potential Ethical Concerns
Electronic health records
Personal health records
Release of information
Health information exchange
Social networking
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Health Literacy
The ability to obtain, process, and understand basic health information
HHS plan goals:
Develop and disseminate accurate, accessible, actionable health and safety information
Promote changes in the healthcare system that improve the health information, communication, informed decision making, and access to health services
Incorporate accurate, standards-based, and developmentally appropriate health and science information and curricula in child care and education through the university level
© 2017 American Health Information Management Association
HHS Plan Goals (continued)
Support and expand local efforts to provide adult education, English language instruction, and culturally and linguistically appropriate health information services in the community
Build partnerships, develop guidance, and change politics
Increase basic research and the development, implementation, and evaluation of practices and interventions to improve health literacy
Increase dissemination and use of evidence-based health literacy practices and interventions
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© 2017 American Health Information Management Association
Ethical Decision Making
Assessing potential
Identifying
Evaluating
Deciding on a course of action
Preventing future occurrences
© 2017 American Health Information Management Association
Example of an Ethical Decision-Making Matrix
Steps | Information | |
1. What is the question? | ||
2. What is my “gut” reaction | ||
3. What are the facts? | Known | To be gathered |
4. What are the values? Stakeholders: | Patient: HIM Professional(s): Healthcare professional(s): Administrators: Society: Others as appropriate: | |
5. What are my options? | ||
6. What should I do? | ||
7. What justifies my choice? | Justified | Not justified |
8. How can I prevent this problem? |
© 2017 American Health Information Management Association
Introduction to Healthcare Informatics, Second Edition
Chapter 1:
Foundations of Healthcare Informatics
© 2017 American Health Information Management Association
© 2017 American Health Information Management Association
Learning Objectives
Examine the evolution of the field of health informatics
Interpret the health informatics core competencies
Apply the terms related to health informatics
Compare the methods associated with health informatics
Determine the need for current policies and procedures to support electronic health records and use of data
Articulate ethical issues associated with health informatics
Contrast the major roles associated with the field of health informatics
© 2017 American Health Information Management Association
Key Terms
Informatics
Health informatics
Health information technology
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Relationship Aspects of Health Informatics
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Clinical Data
Technology
Financial/
Administrative
History of Health Informatics
Meaningful use of information
Standards
PCPI
AMA
ASTM
HL7
VSAC
SNOMED CT
LOINC
HIPAA
RxNORM
NDF-RI
HUGN
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5
History of Health Informatics
Resources specific to the electronic exchange of data
DICOM
RxNORM
HL7
NCPDP
ASC X12
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6
Core Competencies
Increased reliance on technology
Sophisticated software and systems
Core competencies (AMIA/AHIMA)
Information literacy and skills
Health informatics skill using the EHR
Privacy and confidentiality of health information
Health information/data technical security
Basic computer literacy skills
© 2017 American Health Information Management Association
7
CAHIIM Domain III: Informatics, Analysis and Data Use
Subdomains
Health Information Technology
Information Management Strategic Planning
Analytics and Decision Support
Health Care Statistics
Research Methods
Consumer Informatics
Health Information Exchange
Information Integrity and Data Quality
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Transforming Data into Informatics
Source: Wiedermann 2014
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Biomedical Informatics
Translational biomedical informatics
Clinical research informatics
Clinical informatics
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Other Applications of Healthcare Informatics
Consumer informatics
Public health informatics
Population health
Genomics
Telemedicine
E-health
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Policies in Support of Healthcare Informatics
New ways of maintaining and accessing patient information
Paper, electronic, and hybrid
Privacy and security, compliance with HIPAA, availability of information as needed
Expanded use of the data
Meaningful use
Monitoring alerts
Information governance
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Methods for Creating Systems to Support Health Informatics
Recognize the language of healthcare
Clinical decision support
Software support – compatibility and interoperability
Decision analysis
Data mining
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Ethics
Definition
Challenges
Issues
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Key Roles
HIM Professionals
C-Level Positions: CIO, CCIO, CMO, CKO
Physicians
Information Technology Specialists
Scribes
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Sample Job Description for Health Information Technology Specialist
© 2017 American Health Information Management Association

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