Process validation is defined as collecting data throughout production to establish that a process can consistently deliver quality products. It involves three stages: process design, process qualification, and continued process verification. Process design uses development data to define the commercial process. Process qualification assesses if the process meets manufacturing targets. Continued process verification monitors all production aspects to ensure control. There are four types of validation: prospective, retrospective, concurrent, and revalidation. Prospective validation establishes a process can meet requirements before use. Retrospective uses historical data to validate existing processes. Concurrent monitors current production. Revalidation repeats validation due to changes.
Process validation incorporates a lifecycle approach linking product and process development, validation of the commercial manufacturing process and maintenance of the process in a state of control during routine commercial production.
Process validation is a requirement of the current Good Manufacturing Practices (cGMP) Regulations for Finished Pharmaceuticals. Validation is defined as a documented program that provides a high degree of assurance that a specific process, method, or system will consistently produce a result meeting pre-determined acceptance criteria.
U.S.F.D.A. was the pioneer in the concept of process validation.
Validation had proven to be an important tool for quality management of pharmaceutical according to ISO 9000:2000.
Introduction to Pharmaceutical Validation, Scope & Merits of Validation, Validation and calibration of Master plan, Hrs ICH & WHO guidelines for calibration and validation of
equipment's, Validation of specific dosage form, Types of validation. Government regulation, Manufacturing Process Model, URS, DQ, IQ, OQ & P.Q. of facilities.
Validation.
Validation is establishing documented evidence which provides a high degree of assurances that a specific process or equipment will consistently produce a product or result meeting its predetermined specifications and quality attributes”.
A system must be qualified to operate in a validated process
The results of analytical procedures should be:
— reliable
— accurate
— reproducible
The characteristics that should be considered during validation of analytical methods are:
— specificity
— linearity
— range
— accuracy
— precision
— detection limit
— quantitation limit
— robustness
Process validation incorporates a lifecycle approach linking product and process development, validation of the commercial manufacturing process and maintenance of the process in a state of control during routine commercial production.
Process validation is a requirement of the current Good Manufacturing Practices (cGMP) Regulations for Finished Pharmaceuticals. Validation is defined as a documented program that provides a high degree of assurance that a specific process, method, or system will consistently produce a result meeting pre-determined acceptance criteria.
U.S.F.D.A. was the pioneer in the concept of process validation.
Validation had proven to be an important tool for quality management of pharmaceutical according to ISO 9000:2000.
Introduction to Pharmaceutical Validation, Scope & Merits of Validation, Validation and calibration of Master plan, Hrs ICH & WHO guidelines for calibration and validation of
equipment's, Validation of specific dosage form, Types of validation. Government regulation, Manufacturing Process Model, URS, DQ, IQ, OQ & P.Q. of facilities.
Validation.
Validation is establishing documented evidence which provides a high degree of assurances that a specific process or equipment will consistently produce a product or result meeting its predetermined specifications and quality attributes”.
A system must be qualified to operate in a validated process
The results of analytical procedures should be:
— reliable
— accurate
— reproducible
The characteristics that should be considered during validation of analytical methods are:
— specificity
— linearity
— range
— accuracy
— precision
— detection limit
— quantitation limit
— robustness
PHARMACEUTICAL QUALITY ASSURANCE SIXTH SEMSTER B PHARM
Introduction, definition and general principles of calibration, qualification
and validation, importance and scope of validation, types of validation, validation master plan. Calibration of pH meter, Qualification of UV-Visible spectrophotometer, General principles of Analytical
method Validation.
Introduction, Regulatory requirements for validation, Role of FDA, Code of Federal regulation, Validation life cycle, Significance of validation, Types of validation, Process valiadation, Phases of process validation, Process capability design, Process Qualification, Validation maintainance phase
Types of Process validation, Examples
Complete discussion about the Pharmaceutical validation, its types, difference between calibration and validation, validation master & calibration master plan
Process validation is defined as the collection and evaluation of data, from the process design stage throughout production, which establishes scientific evidence that a process is capable of consistently delivering quality products.
The U.S. Food and Drug Administration (FDA) has proposed guidelines with the following definition for process validation: – “PROCESS VALIDATION” is establishing documented evidence which provides a high degree of assurance that a specific process consistently produces a product meeting its predetermined specifications and quality attributes.
A brief introduction of validation concept, its scope, advantage. Types of validation, stages of validation, Consideration in principle of validation. Prerequisites of validation, validation protocol, process validation, strategy of process validation of solid dosage form, validation report.
Analytical method validation.
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
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These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...
Process validation
1. Process Validation
Definition of process validation: Process validation is defined as the collection and evaluation
of data, from the process design stage throughout production, which establishes scientific
evidence that a process is capable of consistently delivering quality products.
The Process validation activities can be described in three stages:
Stage 1 – Process Design: In this stage data from the development phase are gathered and
analyzed to define the commercial manufacturing process. By understanding the commercial
process a framework for quality specifications can be established and used as the foundation of a
control strategy. Process design is the first of three stages of process validation. Data from the
development phase is gathered and analyzed to understand end-to-end system processes. These
data are used to establish benchmarks for quality and production control.
Designof Experiment (DOE)
Design of experiments is used to discover possible relationships and sources of variation as
quickly as possible. A cost benefit analysis should be conducted to determine if such an
operation is necessary.
Quality by Design (QBD)
Quality by Design is an approach to pharmaceutical manufacturing that stresses quality should
be built into products rather than tested into products; that product quality should be considered
at the earliest possible stage rather than at the end of the manufacturing process. Input variables
are isolated in order to identify the root cause of potential quality issues and the manufacturing
process is adapted accordingly.
Process Analytical Technology (PAT)
Process Analytical Technology is used to measure critical process parameters (CPP) and critical
quality attributes (CQA). PAT facilitates measurement of quantitative production variables in
real time and allows access to relevant manufacturing feedback. PAT can also be used in the
design process to generate a process qualification.
Critical Process Parameters (CPP)
Critical Process Parameters Operating parameters that are considered essential to maintaining
product output within specified quality target guidelines.
2. Critical Quality Attributes (CQA)
Critical Quality Attributes are attributes that are considered essential in determining product
quality.
DesignSpace Verification
Design Space Verification confirms that quality can be guaranteed within an identified range of
input and operating variables.
Stage 2 – Process Qualification: In this stage the process design is assessed to conclude if the
process is able to meet determined manufacturing targets. In this stage all production processes
and manufacturing equipment is proofed to confirm quality and output capabilities. Critical
quality attributes are evaluated and critical process parameters taken into account to confirm
product quality. Once the process qualification stage has been successfully accomplished
production can begin. Process Qualification is the second phase of process validation.
Stage 3 – Continued Process Verification: Continued process verification is the ongoing
monitoring of all aspects of the production cycle. It aims to ensure that all levels of production
are controlled and regulated. Deviations from prescribed output methods and final product
irregularities are flagged by a process analytics database system. The FDA requires production
data be recorded (FDA requirements (§ 211.180(e)). Continued process verification is stage 3 of
process validation.
The European Medicines Agency defines a similar process known as Ongoing Process
Verification. This alternative method of process validation is recommended by the EMA for
validating processes on a continuous basis. Continuous Process Verification analyses Critical
Process Parameters and Critical Quality Attributes in real time to confirm production remain
within acceptable levels and meet standards set by ICH Q8, Pharmaceutical Quality Systems,
and Good manufacturing practice.
Types of Process Validation:
The guidelines on general principles of process validation mentions four types of validation:
A) Prospective validation (or premarket validation)
B) Retrospective validation
C) Concurrent validation
D) Revalidation
3. A) Prospective validation: Establishing documented evidence prior to process implementation
that a system does what it proposed to do based on preplanned protocols. This approach to
validation is normally undertaken whenever the process for a new formula (or within a new
facility) must be validated before routine pharmaceutical production commences. In fact,
validation of a process by this approach often leads to transfer of the manufacturing process from
the development function to production.
B) Retrospective validation: Retrospective validation is used for facilities, processes, and
process controls in operation use that have not undergone a formally documented validation
process. Validation of these facilities, processes, and process controls is possible using historical
data to provide the necessary documentary evidence that the process is doing what it is believed
to do. Therefore, this type of validation is only acceptable for well-established processes and will
be inappropriate where there have been recent changes in the composition of product, operating
processes, or equipment. This approach is rarely been used today because it’s very unlikely that
any existing product hasn’t been subjected to the Prospective validation process. It is used only
for the audit of a validated process.
C) Concurrent validation: Concurrent validation is used for establishing documented evidence
that a facility and processes do what they purport to do, based on information generated during
actual imputation of the process. This approach involves monitoring of critical processing steps
and end product testing of current production, to show that the manufacturing process is in a
state of control.
D) Revalidation: Revalidation means repeating the original validation effort or any part of it,
and includes investigative review of existing performance data. This approach is essential to
maintain the validated status of the plant, equipment, manufacturing processes and computer
systems. Possible reasons for starting the revalidation process include:
The transfer of a product from one plant to another.
Changes to the product, the plant, the manufacturing process, the cleaning process, or
other changes that could affect product quality.
The necessity of periodic checking of the validation results.
Significant (usually order of magnitude) increase or decrease in batch size.
Sequential batches that fail to meet product and process specifications.
The scope of revalidation procedures depends on the extent of the changes and the effect
upon the product.