The document discusses the use of business analytics in healthcare. It explains that patient experience is important for the stability of healthcare institutions. To improve patient experience, healthcare organizations implement patient-centric strategies and use business analytics. Business analytics in healthcare involves collecting data from electronic health records, extracting and analyzing the data, and visualizing results in dashboards. This helps address problems and supports decision making in healthcare.
IBM Healthcare Business Analytics solutions including Cognos, TM1 and SPSS. How healthcare challenges are met and costs are optimized through the use of Data Visualizations, Performance Management, and Predictive Analytics.
A Hospital is a highly challenging work place. There are numerous bottlenecks that deteriorates the productivity & efficiency of the Healthcare services delivered.
Brand reputation of a Hospital depends on how quick they resolve the issues raised without compensating the quality and patient satisfaction. Spontaneity to untangle any situation is possible only with a strong “Hospital Operations team”. Operations management team is responsible for managing all operational process of the Hospital which includes all clinical & non-clinical departments to have a smooth working environment.
IBM Healthcare Business Analytics solutions including Cognos, TM1 and SPSS. How healthcare challenges are met and costs are optimized through the use of Data Visualizations, Performance Management, and Predictive Analytics.
A Hospital is a highly challenging work place. There are numerous bottlenecks that deteriorates the productivity & efficiency of the Healthcare services delivered.
Brand reputation of a Hospital depends on how quick they resolve the issues raised without compensating the quality and patient satisfaction. Spontaneity to untangle any situation is possible only with a strong “Hospital Operations team”. Operations management team is responsible for managing all operational process of the Hospital which includes all clinical & non-clinical departments to have a smooth working environment.
Hospital Management Business Plan Powerpoint Presentation SlidesSlideTeam
Introducing our Hospital Management Business Plan PowerPoint Presentation Slides to help you build a firm foundation for the public health system. Select our professionally curated health administration PPT templates to provide an understanding of key demand and supply drivers like consumer demographics and geographics. Highlight the global medical spending statistics on crucial trends like robotics companions, ingestible health sensors, health technology, smart nutrition technology, and mobile applications through this PPT slideshow. You can employ our hospitality PowerPoint layouts to elaborate on building blocks of optimized health systems like technical content, management skills, operational and finance systems. Highlight the structure of important stakeholders and the importance of effective healthcare administration using these hospital sector PPT visuals. Showcase the framework of corporate and hospital tie-ups with our hospital network PowerPoint presentation in a well-organized format. Click the download button and make this healthcare management PowerPoint deck your source to educate the audiences about the essential public health services. These content-specific slides effectively convey the importance of proper medical care comprehensively. https://bit.ly/3tNrHhU
This is the service blueprint of Columbia Asia Hospital, Mysore. This was created as part of an academic project. This shows how the service is being delivered in a typical hospital
As the author of “Big Data in Healthcare Hype and Hope,” Dr. Feldman has interviewed over 180 emerging tech and healthcare companies, always asking, “How can your new approach help patients?” Her research shows that data, as an enabling tool, has the power to give us critical new insights into not only what causes disease, but what comprises normal. Despite this promise, few patients have reaped the benefits of personalized medicine. A panel of leading big data innovators will discuss the evolving health data ecosystem and how big data is being leveraged for research, discovery, clinical trials, genomics, and cancer care. Case studies and real-life examples of what’s working, what’s not working, and how we can help speed up progress to get patients the right care at the right time will be explored and debated.
• Bonnie Feldman, DDS, MBA - Chief Growth Officer, @DrBonnie360
• Colin Hill - CEO, GNS Healthcare
• Jonathan Hirsch - Founder & President, Syapse
• Andrew Kasarskis, PhD - Co-Director, Icahn Institute for Genomics & Multiscale Biology; Associate Professor, Genetics & Genomic Studies, Icaahn School of Medicine at Mt. Sinai
• William King - CEO, Zephyr Health
New York eHealth Collaborative Digital Health Conference
November 18, 2014
5 Business Strategies to Grow Your Telehealth EnterpriseVSee
To carry on the discussion in real life, join us at Telehealth and Secrets to Success Conference, Sept 20-22, Silicon Valley:
https://goo.gl/95zHZG
For more information of the presentation such as recording and transcript, please visit: https://vsee.com/blog/5-business-strategies-to-grow-like-zocdoc/
For other webinars:
https://vsee.com/webinars/
Or join our Linkedin Group: https://www.linkedin.com/groups/Telehealth-Failures-Secrets-Success-13500037/about
Or Join our Facebook Group:
https://www.facebook.com/groups/tfssgroup/?ref=group_cover
This webinar will focus on the technical and practical aspects of creating and deploying predictive analytics. We have seen an emerging need for predictive analytics across clinical, operational, and financial domains. One pitfall we’ve seen with predictive analytics is that while many people with access to free tools can develop predictive models, many organizations fail to provide a sufficient infrastructure in which the models are deployed in a consistent, reliable way and truly embedded into the analytics environment. We will survey techniques that are used to get better predictions at scale. This webinar won’t be an intense mathematical treatment of the latest predictive algorithms, but will rather be a guide for organizations that want to embed predictive analytics into their technical and operational workflows.
Topics will include:
Reducing the time it takes to develop a model
Automating model training and retraining
Feature engineering
Deploying the model in the analytics environment
Deploying the model in the clinical environment
This white paper offers a detailed perspective on how big data is impacting the healthcare industry and its underlying implication on the industry as a whole. It outlines the role of big data in healthcare, its benefits, core components and challenges faced by the healthcare sector towards full-fledged adoption & implementation.
Hospital Management Business Plan Powerpoint Presentation SlidesSlideTeam
Introducing our Hospital Management Business Plan PowerPoint Presentation Slides to help you build a firm foundation for the public health system. Select our professionally curated health administration PPT templates to provide an understanding of key demand and supply drivers like consumer demographics and geographics. Highlight the global medical spending statistics on crucial trends like robotics companions, ingestible health sensors, health technology, smart nutrition technology, and mobile applications through this PPT slideshow. You can employ our hospitality PowerPoint layouts to elaborate on building blocks of optimized health systems like technical content, management skills, operational and finance systems. Highlight the structure of important stakeholders and the importance of effective healthcare administration using these hospital sector PPT visuals. Showcase the framework of corporate and hospital tie-ups with our hospital network PowerPoint presentation in a well-organized format. Click the download button and make this healthcare management PowerPoint deck your source to educate the audiences about the essential public health services. These content-specific slides effectively convey the importance of proper medical care comprehensively. https://bit.ly/3tNrHhU
This is the service blueprint of Columbia Asia Hospital, Mysore. This was created as part of an academic project. This shows how the service is being delivered in a typical hospital
As the author of “Big Data in Healthcare Hype and Hope,” Dr. Feldman has interviewed over 180 emerging tech and healthcare companies, always asking, “How can your new approach help patients?” Her research shows that data, as an enabling tool, has the power to give us critical new insights into not only what causes disease, but what comprises normal. Despite this promise, few patients have reaped the benefits of personalized medicine. A panel of leading big data innovators will discuss the evolving health data ecosystem and how big data is being leveraged for research, discovery, clinical trials, genomics, and cancer care. Case studies and real-life examples of what’s working, what’s not working, and how we can help speed up progress to get patients the right care at the right time will be explored and debated.
• Bonnie Feldman, DDS, MBA - Chief Growth Officer, @DrBonnie360
• Colin Hill - CEO, GNS Healthcare
• Jonathan Hirsch - Founder & President, Syapse
• Andrew Kasarskis, PhD - Co-Director, Icahn Institute for Genomics & Multiscale Biology; Associate Professor, Genetics & Genomic Studies, Icaahn School of Medicine at Mt. Sinai
• William King - CEO, Zephyr Health
New York eHealth Collaborative Digital Health Conference
November 18, 2014
5 Business Strategies to Grow Your Telehealth EnterpriseVSee
To carry on the discussion in real life, join us at Telehealth and Secrets to Success Conference, Sept 20-22, Silicon Valley:
https://goo.gl/95zHZG
For more information of the presentation such as recording and transcript, please visit: https://vsee.com/blog/5-business-strategies-to-grow-like-zocdoc/
For other webinars:
https://vsee.com/webinars/
Or join our Linkedin Group: https://www.linkedin.com/groups/Telehealth-Failures-Secrets-Success-13500037/about
Or Join our Facebook Group:
https://www.facebook.com/groups/tfssgroup/?ref=group_cover
This webinar will focus on the technical and practical aspects of creating and deploying predictive analytics. We have seen an emerging need for predictive analytics across clinical, operational, and financial domains. One pitfall we’ve seen with predictive analytics is that while many people with access to free tools can develop predictive models, many organizations fail to provide a sufficient infrastructure in which the models are deployed in a consistent, reliable way and truly embedded into the analytics environment. We will survey techniques that are used to get better predictions at scale. This webinar won’t be an intense mathematical treatment of the latest predictive algorithms, but will rather be a guide for organizations that want to embed predictive analytics into their technical and operational workflows.
Topics will include:
Reducing the time it takes to develop a model
Automating model training and retraining
Feature engineering
Deploying the model in the analytics environment
Deploying the model in the clinical environment
This white paper offers a detailed perspective on how big data is impacting the healthcare industry and its underlying implication on the industry as a whole. It outlines the role of big data in healthcare, its benefits, core components and challenges faced by the healthcare sector towards full-fledged adoption & implementation.
The Power and Promise of Unstructured Patient Data Healthline
Unstructured search capabilities, superior natural language processing, and healthcare ontology capabilities will help distinguish the leading products in the category (information and data-driven decision making).
18 Amazing Benefits of Data Analytics for Healthcare IndustryKavika Roy
https://www.datatobiz.com/blog/data-analytics-for-healthcare-industry/
A Business Intelligence (BI) and monitoring system, like any business, will significantly improve operational efficiency, reduce costs and streamline operations by evaluating and exploiting KPIs to recognize gaps and guide decision-making. Unlocking the usefulness of the data helps everyone from patients and caregivers to payers and vendors.
Let’s look at all the aspects in which a data analytics system will affect the healthcare sector.
Navigating Healthcare's Seas: Unraveling the Power of Data Mining in HealthcareThe Lifesciences Magazine
Here are 5 Applications of Data Mining in Healthcare: 1. Clinical Decision Support Systems (CDSS) 2. Disease Surveillance and Outbreak Prediction 3. Fraud Detection and Prevention 4. Personalized Medicine 5. Predictive Analytics for Patient Outcomes
Role of Health Information Systems in Health CareIn the articl.docxhealdkathaleen
Role of Health Information Systems in Health Care
In the article, Robert Fichman, Rajiv Kohli, and Ranjani Krishnan discussed the role of the Health Information System in Health Care on the medical, social, and economic points related to the diagnosis providing and financial transactions. The main argument of the article indicates the future indispensability of the IS utilization in Health Care system regarding the optimization of the medical process, which will benefit the medical staff and clients’ recuperation. The authors support the claim stating that the involvement of the IS promotes the reduction of treatment costs caused by the mechanized data recording. Moreover, the adaptation of IS leads to the successful outperformance of the challenges related to the hierarchical nature of healthcare, which implies the physicians’ appropriate implementation of technology for the process of examination, treatment, and rehabilitation program elaboration, which intensifies the adherence of the medical professional to the client-centered orientation. Finally, IS deals with the privacy concern, which presents the obligation of the medical professional to ensure the security of the patient’s data to avoid the leakage of information as the issue of data loss deals with PHI, which can follow the court procedures. Hence, the authors lead to the point that the utilization of the Information Systems will optimize the quality of medical service due to the improvement of the data transfer, diagnosis and treatment program creation, and reduction of the cost of service.
Recommendations
1. According to Fichman, Kohli, and Krishnan (2011), the utilization of IS enhances the risk of patients’ data leakage, which captures media attention and violates security regulations. Regarding the presented perspective the recommendation implies ensuring IS with encryption, which will provide anonymity of the clients’ data and its automatic deletion in case of hacking attack. In this case, addressing the program of the identity based anonymization represents a reasonable solution of the privacy preservation as it encodes and removes patients’ identifiable information from the data set and means that the necessary information is visible for the clients/medical professionals and deleted for the hackers (Abouelmehdi, Beni Hessane, & Khaloufi, 2018).
2. Fichman, Kohli, and Krishnan (2011) state that the medical professionals apply IS during the process of treatment program creation, which aims to enhance patients’ satisfaction. However, the principal challenge of the presented point specifies the necessity of the correct assessment of the clients’ clinical history. Regarding the mentioned perspective, the recommendation means the elaboration of the separate Patient Data Analysis information system. PDA-IS utilizes the query engine, that implies the generation of standard and ad-hoc analytical patient and service-centric queries, which promotes the qualified analysis of the pati ...
Healthcare big data analytics can not only improve patient care and health outcomes, but it can help healthcare providers diagnose diseases faster and more accurately than ever before. It can also contribute significantly to bettering the overall patient experience. The COVID-19 pandemic has perfectly illustrated the significance of big data analytics in healthcare. It allowed healthcare organizations to properly allocate resources to ensure that every patient gets effective treatment and also allowed governments to formulate the strategies needed to curb the spread of the disease.
Data-driven Healthcare for the Pharmaceutical IndustryLindaWatson19
The tremendous opportunity of a data-driven strategy is apparent to the pharmaceutical industry, as all these informational assets exhibiting volume, variety, and velocity need to be ingested and analyzed for enhanced insight leading to better business decisions to address proactively the needs of patient care, while getting to market cheaper, faster, with better products.
Paper Assignment # 2 Using your exploration from paper 1, .docxbunyansaturnina
Paper Assignment # 2
Using your exploration from paper 1, choose one (1) way to use health information
technology to address your identified community health related issue and describe
the process of implementation in a chosen context. Paper should be approximately
5-6 pages, (not including title or reference pages). It is to be written in APA format.
The following information needs to be included in the paper:
1. Introduce your idea and identify the context of how your HIT idea will be used
2. Discuss theoretical support for your idea
3. Identify a goal for your idea and three (3) objectives
4. Detail strategies you will take to implement your idea
5. Discuss anticipated barriers to implementation
Limited Developing Mastery
Introduction and
identification of
context
No introduction or
elementary
introduction with no
context or
supporting evidence
provided
Basic introduction
with limited
details and
minimal context or
supporting
evidence
Detailed introduction
of topic with context
and supporting
evidence provided.
Theoretical support,
goal statement and
objectives (Total 3
objectives must be
provided)
No theoretical
support, goal
statement or less
than 3 objectives
for proposed idea
Basic discussion of
theory, basic goal
statement and non-
specific objectives
Detailed, in-depth
discussion of how
theory applies to idea,
detailed goal
statement and (3)
specific measurable
objectives.
Process for
implementation and
anticipated barriers
No process of
implementation
presented or no
barriers identified
Limited process of
implementation
discussed with few
examples and
minimal discussion
of barriers
Detailed Process
of implementation
discussed,
multiple
examples, and
substantial
discussion of
barriers
Conclusion No conclusion
paragraph included
Basic conclusion Detailed conclusion of
topic
References 0-2 references 3-4 references 5 or more references
Paper Assignment #1
Some of the health related issues from the community commons report include being
overweight and obesity. These conditions increase a person's chances of dying from type 2
diabetes, hypertension, coronary heart disease, stroke, osteoarthritis, respiratory issues, and sleep
apnea, and breast, colon, and prostate cancers. Research shows that maintaining physical fitness
can help stop or decrease some to the chances in getting some of these illnesses.
Using the EHR System to Improve Outcomes for Older Adults
Studies conducted by nurses show that the effective use of Electronic Health Record
System (EHR) can progress results of significance to older adults suffering from pressure ulcers
and falls. Bowles and colleagues assessed the effect of an assimilated EHR in various hospitals
on the course and outcome indicators for patient falls and pressure ulcers acquired from the
hospitals. They discovered that the EHR system was linked with improved fall and pressure u.
Similar to Business analytics and health care industry (20)
New Drug Discovery and Development .....NEHA GUPTA
The "New Drug Discovery and Development" process involves the identification, design, testing, and manufacturing of novel pharmaceutical compounds with the aim of introducing new and improved treatments for various medical conditions. This comprehensive endeavor encompasses various stages, including target identification, preclinical studies, clinical trials, regulatory approval, and post-market surveillance. It involves multidisciplinary collaboration among scientists, researchers, clinicians, regulatory experts, and pharmaceutical companies to bring innovative therapies to market and address unmet medical needs.
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
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
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
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.
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
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.
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
2. DEFINITION
MAJOR ATTRIBUTE IS TO FACILITATE MEDICAL SERVICES TO PEOPLE
AND ALSO TO ENGAGE IN THE PRODUCTION OF MEDICAL DRUGS
AND EQUIPMENTS
WHAT IS PATIENT EXPERIENCE MANAGEMENT?
AIM IS TO PROVIDE BETTER SERVICES TO PATIENT
CONSIDERS ALL FACTORS LIKE APPOINTMENT FOR CONSULTATION,
FAST COMMUNICATION, QUICK DIAGNOSIS REPORTS
3. PATIENTS EXPERIENCE MATTERS IN THE STABILITY OF HELATH CARE
INSTITUTION
DISSATISFACTION OF SERVICES CAN LEAD TO EITHER DISGRACE OR
COLLAPSE OF PARTICULAR MEDICAL INSTITUTION
AS A RESULT EFFORTS ARE TAKEN FOR THE IMPLEMENTATION OF
PATIENT CENTRIC STRATEGIES AND THE INCORPRATION OF BUSINESS
ANALYTICS TO DEAL WITH THIS MATTER
4. DATA GENERATION
DATA EXTRACTION
ANALYSIS
VISUALIZATION AND REPORTING
4
SOURCE: APPLICATIONS OF
BUSINESS ANALYTICS IN
HEALTHCARE
5. ELECTONIC HEALTH RECORDS (EHRs)
LARGEST SOURCES OF DIGITAL INFORMATION ABOUT HEALTH AND
WELL- BEING OF PATIENTS
EHRs CAN BE USED TO COLLECT THE MEDICAL HISTORY, RESULTS
OF CLINICAL TEST AND SO ON
5
SOURCE: APPLICATIONS OF
BUSINESS ANALYTICS IN
HEALTHCARE
6. EXISTENCE OF CHALLENGES FOR DATA EXTRACTION IN THE FIELD
OF MEDICAL CARE
AS A SOLUTION EFFORTS ARE TAKEN FOR SHARING AND
EXCHANGE OF DATA
STANDARDIZATION OF DATA FORMATS
6
SOURCE: APPLICATIONS OF
BUSINESS ANALYTICS IN
HEALTHCARE
7. TRANSFORMATION OF DATA IN TO USABLE FORM IS ONE OF THE CRITERIA FOR THE
APBPLICATION OF ANALYTICS IN THE OF HEALTHCARE
ADOPTION OF METHODS LIKE BIOSTATISTICS, EPIDEMIOLOGIC ANALYSIS CAUSAL
MODELING ARE NOW BEING USED IN HEALTHCARE SECTOR
THESE METHODS INCLUDE DATA MINING, BAESIAN STATISTICS, SOCIAL NETWORK
ANALYSIS
7
SOURCE: APPLICATIONS OF
BUSINESS ANALYTICS IN
HEALTHCARE
8. COMBINING ADVANCED VISUALIZATION TECHNIQUES WITH REAL-
TIME DASHBOARDS
ADVANCED VISUALIZATION TECHNIQUES IS CAPABLE OF
PROVIDING MORE CONSISTENT, CLEAN DATAS WHICH CAN BE USED
TO TAKE DECISIONS REGARDING HEALTH CARE
THIS HELPS IN UNDERSTANDING AND TO ADDRESSING PROBLEMS
8
SOURCE: APPLICATIONS OF
BUSINESS ANALYTICS IN
HEALTHCARE
9. Ward, M. J., Marsolo, K. A., & Froehle, C. M. (2014). Applications of
Business Analytics in Healthcare. Business horizons, 57(5), 571–
582. https://doi.org/10.1016/j.bushor.2014.06.003