HAN 364 FINAL Flashcards

1
Q

What is the Nuremberg Code and its importance to Healthcare

A

Related to the Holocaust

Established:
Voluntary consent
Right to withdraw from experiment
Right to medical experimenter

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2
Q

What is the WMA Declaration of Helsinki and its importance to Healthcare

A

Right to privacy and confidentiality of personal information of research subjects in Nuremberg Code

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3
Q

Identify and Describe the Three Views of Ethics

A

Ethics does not exist outside the law, and exists only for the good of a properly ordered and legal society

Ethics is usually strongly informed by the law, society, and prevailing cultures, and are extensions of these

Ethics exists entirely outside of the law, and is a matter of personal conscience. Where there is a conflict the ethical viewpoint must prevail.

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4
Q

What are the Measures to Ensure Documents are Understood

A

(Flesch-Reading Tests and Word)

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5
Q

Flesch-Reading Test:

A

video of readability scores and tools (1-100)

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6
Q

Flesch-Kincaid Test:

A

assigns a number corresponds to US school grade (1-14)

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7
Q

Microsoft word

A

options&raquo_space; proofing&raquo_space; show readability statistics

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8
Q

Classification of CHI Applications

A

(⅔ for consumers, ⅓ for providers)

Inform patients about health topics

Instruct patients about health procedures

Display health results and doctor recommendations

remind/alert patients of medicines or prescriptions

Guide healthcare decision

Communicate with healthcare providers

CIDIRG

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9
Q

Examples of CHI Applications

A

MyFitnessPal

FitBit

MapMyRun

Weight Watchers

WebMd

Disney OralB Magic Timer

BeachBody on Demand

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10
Q

Types of Personal Health Record Applications

A

Tethered, Standalone, Interconnected

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11
Q

Tethered PHR:

A

online interface tied to an EHR with which patients may view and sometimes interact with their health data - Patient Portal

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12
Q

Standalone PHR:

A

an isolated application, may be on mobile device of website

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13
Q

Interconnected / integrated PHR:

A

separate application, but can interact with one or possibly more provider EHRs

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14
Q

Patient – Clinician Electronic Communication Challenges

A

Sometimes patients do not prefer email notifications for bad news

Overload of messages, hard to organize

Insecurity of standard email

Cannot read and reply to messages in a timely manner

BOIT (bad news, overload, insecurity, timely manner)

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15
Q

Types of Electronic Patient – Physician Communication

A

E-visits, virtual visits, tele visits

Could reduce the number of face-to-face visits with a physician

Good for the average patient

Bad for the average physician

Best for organizations not reimbursed for quantity of services delivered

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16
Q

Home Telemedicine Devices

A

Digital scales

Blood pressure monitors

Glucose monitors

Nike+ shoes

Smart water bottles

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17
Q

Patient Web Portal and Features

A

Online registration
Medication refills
Laboratory refills
Electronic visits
Patient education
Personal health records (PHR)
Online appointments
Referrals
Secure messaging
Bill paying
Document uploading
Tracking function

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18
Q

Factors That Add to Popularity of Mobile

A

-Improved speed, memory, wireless connectivity, shrinking form factor (size and shape)

-Affordable

-Constantly improving features

-Phone capability, email, and access to internet

-A myriad (many) of mobile apps for consumers and clinicians

Features
Internet
Mobile apps
afforadable
speed

FIMAS

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19
Q

Uses of Text Messaging/SMS in Healthcare

A

Appointment reminders

Education

Disease management

Behavior modification

Medication compliance

Lab results notification

Public health - immunization

AEDBLMP

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20
Q

Mobile Technology and Patients – Examples of Software Categories

A

Personal health record
Telemedicine
Medication reminders
Fitness coach
Immunization guides
Disease management
Prevention guides
Diagnostics
Vital sign monitoring
Mental health
Connect with healthcare system

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21
Q

Challenges of Mobile Technology

A

-Cost
-Distraction: at work and everywhere else
-Technical: inputting, screen size and interoperability issues
-Security: need policies/security for patient provided devices
-Lack of quality control: mobile app rating scale
-Lack of evidence: low quality studies
-Regulatory: they may need FDA clearance
-Will new sensors and devices be reimbursed by payers, or will patients have to pay?

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22
Q

EBM Definition and Clinical Trials

A

Evidence Based Medicine

Systematic approach to clinical problem solving which allows the integration of the best available research evidence with clinical expertise and patient values

(individual clinical expertise, best external evidence, patient values and expectations)

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23
Q

EBM Method of Answering Clinical Questions

A

Patient: clinical problem or question that arises out of care of the patient

Question: construct well-built clinical question derived from the case

Resource: select appropriate resource and conduct a search

Evaluation: appraise that evidence for its validity (closeness to the truth) and applicability (usefulness in clinical practice)

Patient: return to patient, integrate evidence with clinical expertise, patient preferences and apply it to practice

Self-evaluation: evaluate performance with this patient

PQREPS

PQREPS

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24
Q

Why is EBM Important?

A

Patients should receive care based on the best available scientific knowledge
Care should not vary illogically from clinician to clinician or from place to place
We are slowly moving from anecdotal evidence to randomized controlled trials
Current methods of keeping medically or educationally up-to-date do not work
Translation of research into practice is often very slow
Lack of time and volume of published material results in information overload

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25
What is PICO?
P: Patient or population (age, disease, gender) I: Intervention; prognostic factor; exposure - drugs/treatment C: Comparison: describe the main alternative being considered - placebo, standard therapy, no treatment, gold standard O: Outcome - describe what you are trying to accomplish, measure, improve, or affect
26
what is PICO used for
To construct a clinical question - provides clarity in defining inclusion criteria for the literature review
27
Evidence Pyramid:
Systematic reviews & meta-analysis Randomized controlled trials Cohort studies Case control studies Uncontrolled studies Animal research; basic science experiments; expert opinions
28
Randomized controlled trials
subjects randomly assigned to a treatment or control group that received placebo or no treatment; only difference between the two is the intervention being studied
29
Cohort studies
evaluate and follow patients who received same exposure, but one is not affected by the exposure while the other is
30
Case control studies
study patients with a specific condition compared with people who do not have the condition (less reliable than randomized controlled trials)
31
Uncontrolled studies and Animal research
collections of reports on treatment of patients without control groups; much less scientific significance
32
levels of evidence - level 1
high quality evidence derived from consistent RCT
33
levels of evidence - level 2
moderate quality evidence inconsistent or less methodologically strong RCTs; exceptionally strong observational evidence
34
levels of evidence - level 3
low quality evidence, usually from observational studies
35
levels of evidence - level 4
very low quality evidence from flawed observational studies, indirect evidence or expert opinion
36
Common Types of Clinical Questions:
diagnosis prognosis therapy harm cost
37
diagnosis
which is more sensitive and specific for detecting a heart attack, Creatine Phosphokinase (CPK) or troponin? (what disease/condition is affecting you)
38
Prognosis Question:
will lowering the average blood pressure to less than 120/80 reduce the likelihood of a stroke? (how the disease or condition is going to affect you)
39
therapy
does the addition of Plavix to aspirin reduce the incidence of future strokes?
40
harm
how many patients will have renal insufficiency due to an ace inhibitor compared to a beta blocker?
41
Cost question:
which is more cost effective to reduce hospital readmissions for heart failure, inpatient case management or home health nursing care?
42
clinical practice guidlines
systematically developed statements to assist practitioner and patient decisions about healthcare for specific clinical circumstances
43
barriers to clinical practice guidelines
Practice setting: are clinicians too busy or indifferent to new evidence? Contrary opinion: do the experts agree? Sparse data: is the evidence conclusive? Expect low initial acceptance CPGS can be too long, without summary Lack of local champions May lack patient input for both the writing of the CPGs and the implementation Incentives to adopt may be missing for clinicians
44
What is Telehealth?
the use of electronic information and telecommunications technologies to support long-distance clinical healthcare, patient and professional health-related education, public health, and health administration
45
defintion of telemedicine
the use of medical information exchanged from one site to another via electronic communications to improve patient’s health status (remote delivery of healthcare)
46
Reasons for popularity of Telemedicine
Rising cost of healthcare worldwide Shortage of specialists in rural areas Rise in chronic diseases and aging of population Improved collaboration among physicians and disparate healthcare organizations Raises patient satisfaction when it results in better access to specialty care COVID-19 happened
47
Difference between Telehealth and Telemedicine
Telehealth: broader scope of remote health care services (ex: mobile health apps) Telemedicine: specifically remote clinical services (telehealth can refer to non-clinical services - ex: skype visit with doctor)
48
Barriers to Telemedicine
Limited reimbursement Limited research showing reasonable benefit High initial cost Limited availability of high-speed telecommunications Bandwidth issues Need for high resolution images or video for some specialties Licensure laws Lack of standards Lack of evaluation by a certifying organization Fear of malpractice as a result of telemedicine
49
Available Sensors and Devices
Weight Blood pressure Glucose: blood sugar Oximeter: oxygen level Spirometry: breathing capacity Temperature Medication tracker Prothrombin time and international normalized ratio (PT/INR): how thin blood is Motion detectors fitness
50
Benefits of Telehealth and Telemedicine
Improve access to services in rural and underserved areas; reduced travel time and lowers the cost for specialists and patients alike
51
Bioinformatics:
computational biology, biology, computer science and information technology merge to form a single discipline
52
Transformational bioinformatics
the specialization of bioinformatics for human health
53
Genomics:
field that analyzes genetic material from species
54
Proteomics:
study at the level of proteins (through gene expression)
55
Pharmacogenomics:
study of genetic material in relationship with drug targets
56
Metabolomics:
the study of genes, proteins or metabolites (low molecular weight molecules found within cells and biological systems)
57
Metagenomics:
the analysis of genetic material derived from complete microbial communities harvested from natural environments
58
Phenotype:
observable characteristic, structure, function, and behavior of a living organism
59
Genotype:
based on the raw genetic information that is associated with a phenotype or regulation of biological function
60
Personal genomics:
to have “tailor made” medications and treatments that target the individual and not a group having little in common with the patient
61
Chromosomes:
consist of double twisted helices of DNA
62
Genes:
regions on chromosomes that encode instructions
63
Genome:
complete set of genes
64
Genome-wide association studies
two groups of participants are studied; those with a disease of interest, compared with those without the disease.
65
Phenome-wide association studies:
comparing genes to disease associations, most recently using the electronic health record for phenotypical information
66
importance of bioinformatics:
Diagnosing hereditary diseases Discovering future drug targets (mRNA - covid vaccine) Developing personalized drugs based on genetic profiles Developing gene therapies to treat diseases with a strong genomic component
67
importance of pharmacogenomics
New indications for an old drug (drug repurposing) New targets for existing drugs (treatment of tongue cancer using RET inhibitors) Drugs to work better in certain patient groups (gender, age, race, ethnicity) with possible genetic variants What drugs to avoid due to higher incidence of side effects that are genetically modulated Improve clinical decision support for EHR
68
Human Genome Project:
Determining the base pairs that make up humans International collaborative started in 1990 3 million SNP discovered - variations Ethical, legal, social issues also discussed Huge relational databases are necessary to store and retrieve this massive information New technologies such as DNA arrays speed up analysis Significant drop in cost along the way
69
Ethical questions related to genetic testing
Not regulated, lacks external standards for accuracy, has not demonstrated economic viability or clinical benefits Patients must be sure of accuracy before undergoing (ex: prophylactic mastectomy) Patients will need genetic counseling (most physicians have not had this training) Genetic information nondiscrimination act of 2008 - protects patients against discrimination by employers and healthcare insurers based on genetic information
70
Public health:
the art of prolonging life, and promoting health through the organized efforts and informed choices of society, organizations, public and private communities, and individuals
71
Public health informatics
systematic application of information, computer science and technology to public health practice, research and learning
72
Public health surveillance
ongoing systematic collection, analysis, and interpretation of health-related data essential to planning, implementation and evaluation of public health practice, closely integrated with the timely dissemination of these data for prevention and control
73
Syndromic surveillance
surveillance using health-related data that precedes diagnosis and signal a sufficient probability of a case or an outbreak to warrant further public health response - focuses on early symptom before clinical or laboratory confirmation of particular disease
74
Public health core functions
Assessment, Policy Development, Assurance
75
Assessment:
public health agencies spend most of their time and resources on investigations of potential threats to public’s health Ex: testing and monitoring of water quality, laboratory examination of diseases, food-borne illnesses, testing for environmental hazards
76
Policy development:
public health agencies also create policies and regulations to protect the health of populations Ex: children required to have certain immunizations before they can attend school to prevent disease outbreaks
77
Assurance:
once laws and regulations are passed to protect health, public health agencies are tasked with ensuring compliance with them Ex: local health departments may perform housing inspections to assure landlords comply.
78
Indicator based surveillance:
monitoring of a specific disease/health condition, or class of disease/health conditions that are of interest to public health
79
Event based surveillance:
monitors data from specific events where large number of people gather in one place
80
case surveillance
Collect data on individual cases of a health event or disease with previously determined case definitions in respect to criteria for person, time, place, clinical & laboratory diagnosis Analyze case counts and rates, trends over time Ex: NEDSS base system
81
Syndromic surveillance:
Collect data on clusters of symptoms and clinical features of an undiagnosed disease or health event in near real time allowing for early detection and rapid response mobilization
82
sentinel surveillance
Collect and analyze data from designated agencies selected for their geographic location, medical specialty and ability to accurately diagnose and report high quality data.
83
behavioral surveillance system
Collet data based on health-risk behaviors, preventative health behaviors, and health care access in relation to chronic disease and injury Analyze prevalence of behaviors as well as trends in prevalence Data collected by personal interview
84
Integrated disease surveillance
Incorporates epidemiologic and laboratory data in systems designed to monitor communicable diseases at all levels of public health jurisdiction, particularly in Africa
85
clinical outcomes surveillance
Monitors clinical outcomes to study disease progression or regression in a population Analyzes the rates of and factors associated with clinical outcomes using descriptive and inferential methods such as incidence rates from probability samples
86
laboratory surveillance
Collects data from public health laboratories, which routinely conduct tests for viruses, bacteria, and other pathogens Used to detect and monitor infectious and food-borne diseases
87
Example of Syndromes that are currently monitored
Botulism-like illnesses Febrile (fever) illnesses (influenza-like illnesses) Gastrointestinal (stomach) symptoms Hemorrhagic (bleeding) illnesses Neurological syndromes Rash associated illnesses Respiratory syndromes Shock or coma
88
GIS (geographic information systems)
A system of hardware, software and data used for the mapping and analysis of geographic data
89
uses of GIS (geographic information systems)
Provides access to large volumes of data
90
World Health Organization
Specialized agency of the United Nations responsible for international public health
91
WHO public health programs
Global Alert Response International Health Regulations Early warning surveillance Global public health intelligence network
92
Global Alert Response (GAR)
the integrated infectious disease surveillance program within WHO
93
Early warning surveillance:
surveillance mechanism to effectively identify disease outbreaks and other health issues immediately following acute emergencies
94
Global public health intelligence network
to electronically monitor infectious disease outbreaks
95
Global outbreak alert and response network:
provide a rapid identification and response to outbreaks and alert the international community
96
eResearch
use of information technology to support research
97
Major contributing factors to growth of eResearch
adoption of electronic medical records and electronic research platforms - will have a major impact on evidence-based medicine in the future
98
Describe what are Research Collaboration Networks
Web-based applications which include features such as a personal profile, opportunities to connect with others with similar interest and the ability to post status updates
99
EHR recruiting:
ability to evaluate adequate pools of patients to be recruited into the study. Requires clinical data repository from EHR data with a query tool to search de-identified information
100
Explain how researchers take advantage of EHR/EMR Recruiting
By modifying inclusion and exclusion criteria, researcher can find the appropriate cohort for recruitment based on reasonable recruitment rate
101
Electronic grant process:
researcher can search for grant opportunities and grant submission is now common for government and civilian agencies
102
how Clinical Trial Management (CTM) systems support Clinical Trials
Mange the planning, preparation, performance, and reporting of clinical trials Budget management, study calendar of patient visits, and create electronic case report forms
103
examples of CTMS
research electronic data capture (REDCap) and OpenClinica
104
Data science:
the scientific study of the creation, validation and transformation of data to create meaning
105
Data analytics:
the discovery and communication of meaningful patterns in data
106
Skills required for Data Scientists
Mathematics and statistics Domain expertise (business, healthcare) Programming (R, Python) Database and data warehousing Predictive modeling and descriptive statistics Machine learning and algorithms Big data Communication and presentation
107
Database:
organized collection of data
108
Database table:
collection of related data
109
Primary key:
unique value that identifies uniquely a database record (patient ID)
110
Input mask:
a string of characters that indicates the format of valid input values (ex: time, phone number - ways to write numbers in correct format)
111
Data type:
text, integer, alphanumeric, floating point
112
Query
a request for data result from database (to perform calculation/answer simple question)
113
What is database Cardinality
A relational database system concept that means uniqueness
114
1 to 1 relationship
(each row of table relates to only one row in another table - Student ID)
115
1 to many relationship
(each row may relate to more than one row in another table - class to students)
116
Many to many relationship
(multiple rows may relate to multiple rows - user belongs to multiple communities, community can have multiple users)
117
What is Normalization
The process applied to database tables to prevent duplication of data
118
First normal form:
prevents each row from having duplicate data - ROW
119
Second normal form:
prevents the repetition of data within a table’s column - COLUMN
120
Third normal form:
requires every column to have dependency on the table’s primary key and be independent from the remaining non-key columns in the table - EVERYTHING DEPENDS ON PRIMARY KEY
121
What are the 5 basic steps of Data Analysis
Define the problem (raw data) Perform data pre-processing (cleaning; missing data - deleting; integration; reduction) Begin exploratory data analysis (descriptive stats used to look at distribution) Conduct analysis with statistical modeling Utilize data visualization
122
3 Data Analytical Approaches
Statistical modeling (statistics) Machine learning (association, regression, classification, clustering) - analyze data with multiple algorithms Programming language
123
Describe how a survey can support the information gathering process for your project
Survey: A list of questions you are asking to assist in reaching the project outcome. It will help the project team listen to the voice of the customer Questions could be related to training, technology, process, access, or facility
124
Project timeline:
tracks order of events
125
Needs assessment:
identify gaps between current and future state
126
Vendor matrix:
It is an evaluation tool used to compare multiple vendors based on the functions the organization seeks to obtain
127
Executive summary:
Document that summarizes the project in less than a page and is usually geared towards organizational leaders (Problem Statement and Project Benefits, Project Goals and Objectives, Project Scope, Project Background)