Zombie hunter

•Download as PPT, PDF•

0 likes•441 views

PearlDiver and the Semantic Community have joined forces to showcase the next generation of medical data mining technology. Definition of a Medicare Zombie: A patient who has been reported as dead to Medicare who goes on to have further treatment by Medicare providers on Medicare’s dime. The Medicare Zombie Hunter application performs live searches through ~3/4 of a billion Medicare records to find those pesky dead patients to keep coming back for more medical treatment. Based upon the user input, the Zombie Hunter will identify (to the extent allowed by law and CMS) the undead patients, the patient’s medical provider, the amount of money charged to Medicare, and how much money Medicare reimbursed for the treatment. The data is then visualized by Semantic Community in Spotfire, a self-serve business intelligence tool. See http://semanticommunity.info/Build_the_Health_Data_Infrastructure_in_the_Cloud/Announcement

Health & Medicine Technology

PearlDiver Data Engine ,[object Object],[object Object],[object Object]

Medicare Zombie Hunter ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Semantic Community Data Visualization ,[object Object],[object Object],[object Object],[object Object],[object Object],http://semanticommunity.info/Build_the_Health_Data_Infrastructure_in_the_Cloud

Medicare Zombie Hunter http://semanticommunity.info/Data.gov/Health.Data.gov

Viewers also liked

Solicitor at bark+co+solicitors

deveuveefe

Mili smartphone, trabajo practico numero 4

miliarguelles

Dr.phuong presentation 3

Chau Phat

Report

Cryme Kyd

Algoritmos2

grupo6tic

Cierre del año 2010 plan pensiones

CC.OO. - Telefónica Móviles

Software libre más que simples programas

fafanny

Conventions of Chick Flick Opening Sequences

daniellausher

Global Voices featured in Il Manifesto

Global Voices

Viewers also liked (9)

Solicitor at bark+co+solicitors

Mili smartphone, trabajo practico numero 4

Dr.phuong presentation 3

Report

Algoritmos2

Cierre del año 2010 plan pensiones

Software libre más que simples programas

Conventions of Chick Flick Opening Sequences

Global Voices featured in Il Manifesto

Similar to Zombie hunter

Big data mining

Thadsanamoorthy Kajavathanan

Program for the 3rd IC Applications Show & Tell

nihshowandtell

Big Data & Data Mining

Md Mizanur Rahman

Outline Value Based Healthcare System – How it is seen today Healthcare Challenge & IoT as a Solution IoT – Big Data Structure Recent Trends in IoT Big Data Analytics Challenges & Our Future In-depth Knowledge of What causes the most premature death? Distribution of Disease burden from 1990 - 2020 Challenges in Healthcare Future Healthcare IoT Machine Talking to Machine Prediction of IoT Usage About PEPGRA HEALTHCARE, A leading healthcare communication firm with years of excellence serving clients with a dedicated team of Medical, Regulatory and Scientific writers specialized in all therapeutic areas. Contact us at : UK: +44-1143520021 US/Canada: +1-972-502-9262 India: +91-8754446690 info@pepgra.com www.pepgra.com

Big data in IoT for healthcare - www.pepgra.com

PEPGRA Healthcare

Abstract In cloud computing system ,data is stimulated to a distantly placed cloud server. Cloud provisions the information authentically and go back to the proprietor whenever wanted. But there is no assurance that information store in the cloud is protected and not changed by cloud . In order to defeat the danger of honesty of data, the user must be able to use the help of Third party Auditor(TPA).TPA has understanding in inspection honesty of the information, that clouds users does not have, and that is difficult for the owner to check .The data in the cloud should be exact ,reliable ,available and elevated excellence.[1]This paper is to address this important problem related to the data integrity and design a cloud assisted privacy preserving mobile-health monitoring system to protect the privacy of the involved parties and their data. for that purpose we have used the algorithms:1)Tate pairing 2)Token generation 3)AES(Advanced Encryption Standards)-SHA1 and MD5. Keywords— Data integrity,TPA,Tate pairing, Cryptography

Cloud assisted privacy preserving and data integrity for mobile health monito...

eSAT Journals

Emerging Technologies in Healthcare

Virendra Prasad

archenaa2015-survey-big-data-government.pdf

Akuhuruf

Innovative project1

LillySheebaS1

Big data and data mining

Polash Halder

Big data

Cisco

Health IT Cyber Security HIPAA Summit Presentation: Metrics and Continuous Mo...

NJVC, LLC

Software Design Document

Mugerwa Brian Mark

Job help

Mohsin Hakim

Data Warehouse is the most reliable technology used by the company for planning, forecasting and management. Critical business management data was contained in several unrelated and disconnected databases, both internally managed and from external sources. Client was unable to view the data from an integrated viewpoint. The data warehousing is one of the best technique to integrate data. This paper presents the Influenza (Flu) diseases specific data warehouse architecture for health care. This could be used by the database administrator or executive manager, doctors, nurses, other staff members of the health care. Health care data warehouse is mostly important to integrate different data format from different data source. All information about patient including their medical test reports are store in the database, the executive manager needs to access those data and make a report. By seeing the report, the doctor takes action.

HEALTH CARE DATA WAREHOUSE SYSTEM ARCHITECTURE FOR INFLUENZA (FLU) DISEASES

cscpconf

How Data Analytics is Re-defining Modern Era in Cyber Security

Saqib Chaudhry

The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.

Health Data Share Service System using REST

theijes

big-data.pdf

aditi276464

We are publishing a draft of the technical standards of the Personal Health Records (PHR) component of the National Health Stack (NHS)! As a refresher, these standards govern the consented sharing of health information between Health Information Providers (HIPs) - like hospitals, pathology labs, and clinics - and Health Information Users (HIUs) like pharmacies, medical consultants, doctors, and so on. The user’s consent to share their health data is issued via a new entity called a Health Data Consent Manager (HDCM). The problem today is that the electronic health records listed in one app or ecosystem are not easily portable to other systems. There is no common standard that can be used to discover, share, and authenticate data between different networks or ecosystems. This means that the electronic medical records generated by users end up being confined to many different isolated silos, which can result in frustrating and complex experiences for patients wishing to manage data lying across different providers. With the PHR system, a user is able to generate a longitudinal view of their health data across providers. The interoperability and security of the PHR architecture allows users to securely discover, share, and manage their health data in a safe, convenient, and universally acceptable manner. For instance, a user could use a HDCM to discover their account at one hospital or diagnostic lab, and then select certain electronic reports to share with a doctor from another hospital or clinic. The flow of data would be safe, and the user would have granular control over who can access their data and for how long. Here is a small demo of the PHR system in action. The standards in the draft released today offers a high-level description of the architecture and flows that make this possible.

Health Information Flows Technical Standards - V 0.5

ProductNation/iSPIRT

Sds

Mugerwa Brian Mark

eBook - Data Analytics in Healthcare

NextGen Healthcare

Similar to Zombie hunter (20)

Big data mining

Program for the 3rd IC Applications Show & Tell

Big Data & Data Mining

Big data in IoT for healthcare - www.pepgra.com

Cloud assisted privacy preserving and data integrity for mobile health monito...

Emerging Technologies in Healthcare

archenaa2015-survey-big-data-government.pdf

Innovative project1

Big data and data mining

Big data

Health IT Cyber Security HIPAA Summit Presentation: Metrics and Continuous Mo...

Software Design Document

Job help

HEALTH CARE DATA WAREHOUSE SYSTEM ARCHITECTURE FOR INFLUENZA (FLU) DISEASES

How Data Analytics is Re-defining Modern Era in Cyber Security

Health Data Share Service System using REST

big-data.pdf

Health Information Flows Technical Standards - V 0.5

Sds

eBook - Data Analytics in Healthcare

Recently uploaded

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

The Normal Electrocardiogram - Part I of II

MedicoseAcademics

Multiple sclerosis diet.230524.ppt3.pptx

MeenakshiGursamy

Compare home pulse pressure components collected directly from home

Catherine Liao

### Understanding Wealth: A Comprehensive Guide Wealth is a multifaceted concept that extends beyond mere financial assets. It encompasses a range of elements including money, investments, property, and other valuable resources. However, true wealth also includes non-material aspects such as health, relationships, and personal fulfillment. This guide delves into the various dimensions of wealth, exploring how it can be created, sustained, and enjoyed. #### Defining Wealth Traditionally, wealth is defined as the abundance of valuable resources or material possessions. It includes financial assets like cash, savings, stocks, bonds, and real estate. However, a broader understanding of wealth considers factors such as personal well-being, emotional health, social connections, and intellectual growth. This holistic view recognizes that true wealth is not solely about accumulating money but also about enhancing one's quality of life. #### The Importance of Financial Wealth Financial wealth remains a critical component of overall wealth. It provides security, freedom, and the ability to pursue opportunities. Key elements of financial wealth include: 1. **Savings**: Money set aside for future use. It is crucial for emergencies, large purchases, and financial goals. 2. **Investments**: Assets purchased with the expectation that they will generate income or appreciate over time. Common investments include stocks, bonds, mutual funds, real estate, and businesses. 3. **Income**: Regular earnings from work, investments, or other sources. Consistent income is essential for maintaining and growing wealth. 4. **Debt Management**: Effectively managing debt ensures that it does not erode financial wealth. This includes paying off high-interest debt and using credit wisely. #### Creating Wealth Creating wealth involves generating and accumulating financial and non-financial resources. The process can be broken down into several key strategies: 1. Education and Skill Development: Investing in education and skills enhances earning potential. Higher education, professional certifications, and continuous learning can lead to better job opportunities and higher salaries. 2. Entrepreneurship: Starting and running a successful business can be a significant source of wealth. Entrepreneurship requires innovation, risk-taking, and effective management. 3. Investing: Making smart investments is essential for wealth creation. This involves understanding different types of investments, assessing risks, and making informed decisions. Diversifying investments can reduce risk and increase potential returns. 4. Saving and Budgeting: Effective saving and budgeting help accumulate wealth over time. Setting financial goals, creating a budget, and sticking to it are foundational steps in wealth creation. 5. Real Estate: Investing in property can provide rental income and capital appreciation. Real estate is a tangible asset that can hedge against inflation

Mastering Wealth: A Path to Financial Freedom

FatimaMary4

CURRENT HEALTH PROBLEMS AND ITS SOLUTION BY AYURVEDA.pptx

Dr KHALID B.M

Temporal, Infratemporal & Pterygopalatine BY Dr.RIG.pptx

Dr. Rabia Inam Gandapore

Why invest into infodemic management in health emergencies

Tina Purnat

Fundamental of Radiobiology -SABBU.pptx

Sabbu Khatoon

Aptopadesha Pramana / Pariksha: The Verbal Testimony

Dr KHALID B.M

Young at heart: Cardiovascular health stations to empower healthy lifestyle b...

Catherine Liao

Retinal consideration in cataract surgery

KafrELShiekh University

Is preeclampsia and spontaneous preterm delivery associate with vascular and ...

Catherine Liao

"Central Hypertension"‚ in China: Towards the nation-wide use of SphygmoCor t...

Catherine Liao

Evaluation of antidepressant activity of clitoris ternatea in animals

Shweta

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...

i3 Health

Arterial health throughout cancer treatment and exercise rehabilitation in wo...

Catherine Liao

Relationship between vascular system disfunction, neurofluid flow and Alzheim...

Catherine Liao

DECIPHERING COMMON ECG FINDINGS IN ED.pptx

drwaque

Ocular injury ppt Upendra pal optometrist upums saifai etawah

pal078100

Couples presenting to the infertility clinic- Do they really have infertility...

Sujoy Dasgupta

Recently uploaded (20)

The Normal Electrocardiogram - Part I of II

Multiple sclerosis diet.230524.ppt3.pptx

Compare home pulse pressure components collected directly from home

Mastering Wealth: A Path to Financial Freedom

CURRENT HEALTH PROBLEMS AND ITS SOLUTION BY AYURVEDA.pptx

Temporal, Infratemporal & Pterygopalatine BY Dr.RIG.pptx

Why invest into infodemic management in health emergencies

Fundamental of Radiobiology -SABBU.pptx

Aptopadesha Pramana / Pariksha: The Verbal Testimony

Young at heart: Cardiovascular health stations to empower healthy lifestyle b...

Retinal consideration in cataract surgery

Is preeclampsia and spontaneous preterm delivery associate with vascular and ...

"Central Hypertension"‚ in China: Towards the nation-wide use of SphygmoCor t...

Evaluation of antidepressant activity of clitoris ternatea in animals

New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...

Arterial health throughout cancer treatment and exercise rehabilitation in wo...

Relationship between vascular system disfunction, neurofluid flow and Alzheim...

DECIPHERING COMMON ECG FINDINGS IN ED.pptx

Ocular injury ppt Upendra pal optometrist upums saifai etawah

Couples presenting to the infertility clinic- Do they really have infertility...

Zombie hunter

1. PearlDiver Data Engine & Semantic Community Data Visualization Benjamin Young Brand Niemann PearlDiver Technologies Inc. Semantic Community Health Data Initiative Forum Submission Medicare Zombie Hunter

5. Medicare Zombie Hunter http://semanticommunity.info/Data.gov/Health.Data.gov

Zombie hunter

Recommended

Recommended

More Related Content

Viewers also liked

Viewers also liked (9)

Similar to Zombie hunter

Similar to Zombie hunter (20)

Recently uploaded

Recently uploaded (20)

Zombie hunter