Dear Students
We can help you to write total dissertation/project report.
Our 9 step method of project writing:-
Step 1) Helping you in Selection of topic.
Step 2) Group discussion / conference call with in team of professors.
Step 3) Helping you in Preparation of Synopsis/ proposal & sent to project guide
Comprehensive Medical Coding and Billing Training for the AAPC CPC Exam. Online Training with videos and Skype sessions. HIPAA Training included along with Medical Billing. Trainer is Dr Guptha, world record holder.
Project report on Time and motion study and OPD questionnaire survey.DR RITA SINGH
Association between waiting time and consultation time in Outpatient department and OPD pharmacy and OPD patient satisfaction: A time and motion study and OPD questionnaire Survey
Dear Students
We can help you to write total dissertation/project report.
Our 9 step method of project writing:-
Step 1) Helping you in Selection of topic.
Step 2) Group discussion / conference call with in team of professors.
Step 3) Helping you in Preparation of Synopsis/ proposal & sent to project guide
Comprehensive Medical Coding and Billing Training for the AAPC CPC Exam. Online Training with videos and Skype sessions. HIPAA Training included along with Medical Billing. Trainer is Dr Guptha, world record holder.
Project report on Time and motion study and OPD questionnaire survey.DR RITA SINGH
Association between waiting time and consultation time in Outpatient department and OPD pharmacy and OPD patient satisfaction: A time and motion study and OPD questionnaire Survey
Learn about the background and impact of Medicare Transfer DRG payments. Includes information about discharge status codes, transfer payment calculations, and examples of overpayment and underpayment scenarios.
Learn about the background and impact of Medicare Transfer DRG payments. Includes information about discharge status codes, transfer payment calculations, and examples of overpayment and underpayment scenarios.
Za uspješnu prezentaciju potrebno je Istražiti i upoznati svoju publiku, dobro pripremite prezentaciju, prezentirati s entuzijazmom, biti otvoren, izravan i pratiti reakcije publike tokom prezentacije, te komunicirati verbalno i neverbalno.
Healthcare institutions are aggressively moving towards meeting compliance with MU1 and MU2 with the implementation of full-featured Electronic Health Records. Concomitantly, there will be a massive increase in the amount of clinical data captured electronically. Business intelligence (BI) which traditionally has focused on financial data can be leveraged to use clinical data to support providers in delivering high quality, efficient care. In addition, BI coupled with population health analytics can help meet many Accountable Care Organization needs. This presentation will discuss the Denver Health journey in using BI in a variety of was to facilitate the attainment of high quality care.
Validating the International Classification for Patient Safety (ICPS): The Belgian Experience. Looy L. eHealth week 2010 (Barcelona: CCIB Convention Centre; 2010)
Why ICT Fails in Healthcare: Software Maintenance and MaintainabilityKoray Atalag
This presentation was for a SERG seminar at the University of Auckland Department of Computer Science. I present why software maintenance is a barrier for adoption of IT in healthcare and the maintainability aspects based on ISO/IEC 9126 software quality standard quality model. I then present the preliminary results of my research here.
Evaluation of the Integrated Care and Support Pioneers ProgrammeNuffield Trust
Nick Mays of the Policy Innovation Research Unit presents some conclusions from the early evaluation of the Integrated Care and Support Pioneers Programme.
Effectiveness of the current dominant approach to integrated care in the NHSNuffield Trust
Jonathan Stokes of the Greater Manchester Primary Care Patient Safety Translational Research Centre presents a systematic review of case management in integrated care.
Providing actionable healthcare analytics at scale: Understanding improvement...Nuffield Trust
Thomas Woodcock, Improvement Science Fellow at Imperial College London, talks about the various measurement approaches and processes when working at large scale to assess care quality improvements.
Ramani Moonesinghe, Associate National Clinical Director for Elective Care at NHS England, discusses the use of data for monitoring care quality at various levels within the system.
Paul Aylin, Co-Director of the Dr Foster Unit at Imperial College London, gives concrete examples of using a specific statistical model for monitoring care quality, cumulative sum (CUSUM).
Martin Utley, Director of the Clinical Operational Research Unit at University College London, reflects upon his involvement in the launch of specific tools to monitor care quality for paediatric cardiac surgery.
Evaluating new models of care: Improvement Analytics UnitNuffield Trust
Martin Caunt, Improvement Analytics Unit Project Director and NHS England and Adam Steventon, Director of Data Analytics at The Health Foundation share insights into how they have approached evaluating new models of care.
Lisa Annaly, Head of Provider Analytics at the Care Quality Commission, discusses lessons learned from the CQC as they have worked to monitor care quality over time.
Kate Silvester, a healthcare systems engineer, discusses the challenges of working with data and statistical techniques for real-time monitoring of care quality.
Monitoring quality of care: making the most of dataNuffield Trust
Chris Sherlaw-Johnson, Senior Research Analyst at the Nuffield Trust, introduced the Monitoring quality of care conference and gives an overview of some of the approaches that we've been using at the Trust to identify where care quality has been improving, especially for frail and older people.
Providing actionable healthcare analytics at scale: Insights from the Nationa...Nuffield Trust
Christopher Boulton, Falls and Fragility Fracture Audit Programme Manager at the Royal College of Physicians and Rob Wakeman, Clinical Lead for Orthopaedic Surgery at the National Hip Fracture Database talk about what they have learned by analysing the national hip fracture database.
Providing actionable healthcare analytics at scale: A perspective from stroke...Nuffield Trust
Benjamin Bray, Research Director and the Sentinel Stroke National Audit Programme, presents at the Monitoring quality of care conference about stroke care analytics.
New Models of General Practice: Practical and policy lessonsNuffield Trust
Nuffield Trust policy researchers Rebecca Rosen and Stephanie Kumpunen present findings from our upcoming report on large scale general practice models.
Basavarajeeyam is an important text for ayurvedic physician belonging to andhra pradehs. It is a popular compendium in various parts of our country as well as in andhra pradesh. The content of the text was presented in sanskrit and telugu language (Bilingual). One of the most famous book in ayurvedic pharmaceutics and therapeutics. This book contains 25 chapters called as prakaranas. Many rasaoushadis were explained, pioneer of dhatu druti, nadi pareeksha, mutra pareeksha etc. Belongs to the period of 15-16 century. New diseases like upadamsha, phiranga rogas are explained.
Adv. biopharm. APPLICATION OF PHARMACOKINETICS : TARGETED DRUG DELIVERY SYSTEMSAkankshaAshtankar
MIP 201T & MPH 202T
ADVANCED BIOPHARMACEUTICS & PHARMACOKINETICS : UNIT 5
APPLICATION OF PHARMACOKINETICS : TARGETED DRUG DELIVERY SYSTEMS By - AKANKSHA ASHTANKAR
share - Lions, tigers, AI and health misinformation, oh my!.pptxTina Purnat
• Pitfalls and pivots needed to use AI effectively in public health
• Evidence-based strategies to address health misinformation effectively
• Building trust with communities online and offline
• Equipping health professionals to address questions, concerns and health misinformation
• Assessing risk and mitigating harm from adverse health narratives in communities, health workforce and health system
Integrating Ayurveda into Parkinson’s Management: A Holistic ApproachAyurveda ForAll
Explore the benefits of combining Ayurveda with conventional Parkinson's treatments. Learn how a holistic approach can manage symptoms, enhance well-being, and balance body energies. Discover the steps to safely integrate Ayurvedic practices into your Parkinson’s care plan, including expert guidance on diet, herbal remedies, and lifestyle modifications.
Rasamanikya is a excellent preparation in the field of Rasashastra, it is used in various Kushtha Roga, Shwasa, Vicharchika, Bhagandara, Vatarakta, and Phiranga Roga. In this article Preparation& Comparative analytical profile for both Formulationon i.e Rasamanikya prepared by Kushmanda swarasa & Churnodhaka Shodita Haratala. The study aims to provide insights into the comparative efficacy and analytical aspects of these formulations for enhanced therapeutic outcomes.
These lecture slides, by Dr Sidra Arshad, offer a quick overview of the 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 lead (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
6. Describe the flow of current around the heart during the cardiac cycle
7. Discuss the placement and polarity of the leads of electrocardiograph
8. Describe the normal electrocardiograms recorded from the limb leads and explain the physiological basis of the different records that are obtained
9. Define mean electrical vector (axis) of the heart and give the normal range
10. Define the mean QRS vector
11. Describe the axes of leads (hexagonal reference system)
12. Comprehend the vectorial analysis of the normal ECG
13. Determine the mean electrical axis of the ventricular QRS and appreciate the mean axis deviation
14. Explain the concepts of current of injury, J point, and their significance
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. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
Basavarajeeyam is a Sreshta Sangraha grantha (Compiled book ), written by Neelkanta kotturu Basavaraja Virachita. It contains 25 Prakaranas, First 24 Chapters related to Rogas& 25th to Rasadravyas.
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
1. DRG payment
Reinhard Busse, Prof. Dr. med. MPH FFPH
Department of Health Care Management, Berlin University of Technology
(WHO Collaborating Centre for Health Systems Research and Management)
&
European Observatory on Health Systems and Policies
24 January 2012 European Health Summit: DRG payment 1
2.
3. Hospital payment systems
Why DRGs? Advantages and disadvantages of
different forms of hospital payment
Activity
Admini-
Number of Expenditure Technical Trans-
Number Quality strative
services per Control Efficiency parency
of cases simplicity
case
Fee-for-
service
+ + - 0 0 - 0
Global
budget
- - + 0 0 + -
24 January 2012 European Health Summit: DRG payment 3
4. Hospital payment systems
Why DRGs? Advantages and disadvantages of
different forms of hospital payment
“dumping“ (avoidance), “creaming“
(selection) and “skimping“ (undertreatment)
up/wrong-coding, gaming
Activity
Admini-
Number of Expenditure Technical Trans-
Number Quality strative
services per Control Efficiency parency
of cases simplicity
case
- USA 1980s
Fee-for-
service
+ + 0 0 - 0
DRG-
based - + 0 + 0 - +
payment
Global European
budget
- - + 0 0
countries 1990s/2000s + -
24 January 2012 European Health Summit: DRG payment 4
5. Empirical evidence (I):
hospital activity and length-of-stay under DRGs
Country Study Activity ALoS
US, 1983 US Congress - Office of
USA Technology Assessment, 1985
1980s Guterman et al., 1988
Davis and Rhodes, 1988
Kahn et al., 1990
Manton et al., 1993
Muller, 1993
Rosenberg and Browne, 2001
Cf. Table 7.4
in book
24 January 2012 European Health Summit: DRG payment 5
6. Empirical evidence (II)
Country Study Activity ALoS
Sweden, Anell, 2005
early 1990s Kastberg and Siverbo, 2007
Italy, 1995 Louis et al., 1999
Ettelt et al., 2006
Spain, 1996 Ellis/ Vidal-Fernández, 2007
Norway, Biørn et al., 2003
1997 Kjerstad, 2003
Hagen et al., 2006
European Magnussen et al., 2007
countries Austria, 1997 Theurl and Winner, 2007
1990/ 2000s Denmark, 2002 Street et al., 2007
Germany, 2003 Böcking et al., 2005
Schreyögg et al., 2005
Hensen et al., 2008
England, Farrar et al., 2007
Cf. Table 7.4 2003/4 Audit Commission, 2008
in book Farrar et al., 2009
24 January 2012 France, 2004/5 Or, 2009
7. So then, why DRGs?
To get a common “currency” of hospital activity for
• transparency efficiency benchmarking &
performance measurement (protect/ improve quality),
• budget allocation (or division among providers),
• planning of capacities,
• payment ( efficiency)
Exact reasons, expectations and DRG usage differ
among countries – due to (de)centralisation, one
vs. multiple payers, public vs. mixed ownership.
24 January 2012 European Health Summit: DRG payment 7
8. Scope of DRGs within set of hospital activities
Excluded costs
(e.g. for infrastructure; in U.S. also physician services)
Payments for non-patient care activities
(e.g. teaching, research, emergency availability)
Payments for patients not classified into DRG system
(e.g. outpatients, day cases, psychiatry, rehabilitation)
Additional payments for specific activities for DRG-
classified patients (e.g. expensive drugs, innovations),
possibly listed in DRG catalogues
Other types of payments for DRG-classified patients
(e.g. global budgets, fee-for-service)
DRG-based case payments,
DRG-based budget allocation
(possibly adjusted for outliers, quality etc.)
24 January 2012 European Health Summit: DRG payment 8
9. Essential building blocks of DRG systems
Data collection 2
• Demographic data
• Clinical data
• Cost data
• Sample size,
Price setting
regularity 3
Actual 4
reimbursement
Import Patient
1 • Cost weights • Volume limits
classification • Base rate(s) • Outliers
system • Prices/ tariffs • High cost cases
• Average vs. “best” • Quality
• Diagnoses • Innovations
• Procedures • Negotiations
• Severity
• Frequency of revisions
24 January 2012 European Health Summit: DRG payment 9
10. Choosing a PCS: copied, Patient classification
system
further developed or self-developed? • Diagnoses
• Procedures
• Severity
• Frequency of revisions
The great-grandfather
The grandfathers
The fathers
11. Basic characteristics of DRG-like PCS in Europe
Patient classification
system
• Diagnoses
• Procedures
• Severity
• Frequency of revisions
AP-DRG AR-DRG G-DRG GHM NordDRG HRG JGP LKF DBC
DRGs / DRG-like groups 679 665 1,200 2,297 794 1,389 518 979 ≈30,000
MDCs / Chapters 25 24 26 28 28 23 16 - -
Partitions 2 3 3 4 2 2* 2* 2* -
24 January 2012 European Health Summit: DRG payment 11
12. Main questions relating to data collection
Clinical data
classification system for diagnoses and
classification system for procedures
Cost data
Data collection
imported (not good but easy) or
• Demographic data collected within country (better but needs
• Clinical data
• Cost data standardised cost accounting)
• Sample size,
regularity
Sample size
entire patient population or
a smaller sample
Many countries: clinical data = all patients;
cost data = hospital sample
with standardised cost accounting system
24 January 2012 European Health Summit: DRG payment 12
13. How to calculate costs and set prices fairly
Price setting
• Cost weights
• Base rate(s)
• Prices/ tariffs
• Average vs. “best”
• Based on good quality data (not possible if cost
weights imported)
• “Cost weights x base rate” vs. “Tariff + adjustment”
vs. Scores
• Average costs vs. “best practice”
24 January 2012 European Health Summit: DRG payment 13
14. Incentives and hospital strategies
Incentives of DRG-based Strategies of hospitals
hospital payment
1. Reduce costs per a) Reduce length of stay
patient • optimize internal care pathways
• inappropriate early discharge (‘bloody discharge’)
b) Reduce intensity of provided services
• avoid delivering unnecessary services
• withhold necessary services (‘skimping/undertreatment’)
c) Select patients
• specialize in treating patients for which the hospital has a competitive
advantage
• select low-cost patients within DRGs (‘cream-skimming’)
2. Increase revenue per a) Change coding practice
patient • improve coding of diagnoses and procedures
• fraudulent reclassification of patients, e.g. by adding inexistent
secondary diagnoses (‘up-coding’)
b) Change practice patterns
• provide services that lead to reclassification of patients into higher
paying DRGs (‘gaming/overtreatment’)
3. Increase number of a) Change admission rules
patients • reduce waiting list
• admit patients for unnecessary services (‘supplier-induced demand’)
b) Improve reputation of hospital
• improve quality of services
2424 January 2012
January 2012 • European Health Summit: DRG payment
focus efforts exclusively on measurable areas 14
15. How European DRG systems reduce unintended
behaviour: 1. long- and short-stay adjustments
Revenues
Short-stay Inliers Long-stay
Actual
outliers outliers
reimbursement
• Volume limits
• Outliers
• High cost cases
• Quality
• Innovations
• Negotiations
Deductions Surcharges LOS
(per day) (per day)
Lower LOS Upper LOS
threshold threshold
24 January 2012 European Health Summit: DRG payment 15
16. How European DRG systems reduce unintended
behaviour: 2. Fee-for-service-type additional payments
England France Germany Nether-
lands
Payments per One One One Several
hospital stay possible
Actual
Payments for Unbundled Séances GHM for Supplementary No
reimbursement HRGs for e.g.: e.g.: payments for e.g.:
specific high-
• Volume limits cost services • Chemotherapy • Chemotherapy • Chemotherapy
• Outliers •Radiotherapy •Radiotherapy •Radiotherapy
• High cost cases •Renal dialysis •Renal dialysis •Renal dialysis
• Quality •Diagnostic •Diagnostic imaging
• Innovations imaging Additional •High-cost drugs
• Negotiations
•High-cost drugs payments:
• ICU
• Emergency care
• High-cost drugs
Innovation- Yes Yes Yes Yes (for
related add’l drugs)
payments
24 January 2012 European Health Summit: DRG payment 16
17. How European DRG systems reduce unintended
behaviour: 3. adjustments for quality
• England & Germany: no extra payment if
Actual
patient readmitted within 30 days
reimbursement
• Germany: deduction for not submitting quality
• Volume limits
• Outliers data
• High cost cases
• Quality
• Innovations • England: up 1.5% reduction if quality
• Negotiations
standards are not met
• France: extra payments for quality
improvement (e.g. regarding MRSA)
24 January 2012 European Health Summit: DRG payment 17
18. 4. Frequent revisions of PCS and payment rates
Country PCS Payment rate
Frequency of updates Time-lag to data Frequency of updates Time-lag to data
Austria Annual 2–4 years 4–5 years 2–4 years
England Annual Minor revisions annually; irregular Annual 3 years (but adjusted for
overhauls about every 5–6 years inflation)
Estonia Irregular (first update 1–2 years Annual 1–2 years
after 7 years)
Finland Annual 1 year Annual 0–1 year
France Annual 1 year Annual 2 years
Germany Annual 2 years Annual 2 years
Ireland Every 4 years Not applicable (imported Annual (linked to 1–2 years
AR-DRGs) Australian updates)
Netherlands Irregular Not standardized Annual or when 2 years, or based on
considered necessary negotiations
Poland Irregular – planned 1 year Annual update only of 1 year
twice per year base rate
Portugal Irregular Not applicable (imported Irregular 2–3 years
AP-DRGs)
Spain (Catalonia) Biennial Not applicable (imported Annual 2–3 years
3-year-old CMS-DRGs)
Sweden Annual 1–2 years Annual 2 years
24 January 2012 European Health Summit: DRG payment 18
19. Conclusions
• DRG-based hospital payment is the main method of provider
payment in Europe, but systems vary across countries
– Different patient classification systems
– DRG-based budget allocation vs. case-payment
– Regional/local adjustment of cost weights/conversion rates
• To address potential unintended consequences, countries
– implemented DRG systems in a step-wise manner
– operate DRG-based payment together with other payment mechanisms
– refine patient classification systems continously (increase number of groups)
– place a comparatively high weight on procedures
– base payment rates on actual average (or best-practice) costs
– reimburse outliers and and high cost services separately
– update both patient classification and payment rates regularly
• If done right (which is complex), DRGs can contribute to increased
transparency and efficiency – and quality
24 January 2012 European Health Summit: DRG payment 19
20. DRG payment – the way forward
Excluded costs
(e.g. for infrastructure; in U.S. also physician services) Separate priority activities not
Payments for non-patient care activities related to a particular patient
(e.g. teaching, research, emergency availability) from DRG payments
Payments for patients not classified into DRG system Pay separate for patient-
(e.g. outpatients, day cases, psychiatry, rehabilitation)
related activities which you
Additional payments for specific activities for DRG- want to incentivize (upon prior
classified patients (e.g. expensive drugs, innovations), authorization, 2nd opinion?)
possibly listed in DRG catalogues
• Define clinically meaningful
Other types of payments for DRG-classified patients groups (constant updating),
(e.g. global budgets, fee-for-service)
• which are cost-homogeneous
DRG-based case payments, (on average or “best practice”),
DRG-based budget allocation • measure quality and
(possibly adjusted for outliers, quality etc.)
• adjust payment
24 January 2012 European Health Summit: DRG payment 20
21. EuroDRG project partners
Department for Medical Statistics, Informatics and Health Economics, Innsbruck
Austria
Medical University
England/ UK Centre for Health Economics, University of York
Estonia PRAXIS Center for Policy Studies, Tallinn
Europe European Health Management Association, Brussels
Finland National Institute for Health and Welfare , Helsinki
École des hautes études en santé publique, Rennes &
France
Institut de recherche et documentation en économie de la santé, Paris
Germany Department of Health Care Management, Technische Universität Berlin
Ireland Economic and Social Research Institute, Dublin
Institute for Health Policy & Management, Erasmus Universitair Medisch Centrum
Netherlands
Rotterdam
Poland National Health Fund, Warsaw
Portugal Avisory board member Céu Mateus
Spain Institut Municipal d’Assistència Sanitària, Barcelona
Sweden Centre for Patient Classification, National Board of Health and Welfare, Stockholm
24 January 2012 European Health Summit: DRG payment 21