Introducing Medical Data

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Presentation Description

With the advent of electronic medical records, use of data in healthcare is increasing. This presentation introduces you the the basic concepts in Medical data.

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Presentation Transcript

Introduction To Medical Data:

Introduction To Medical Data Dr. Neelesh Bhandari MBBS (AFMC), MD (Pathology), PGP Human Rights CEO , Digital MedCom Solutions Director, RAKSHA

Data  Knowledge:

Data  Knowledge Data Information Knowledge

The Healthcare Process::

The Healthcare Process: Gather Data Interpret Meaning Make decision

Process of hypothesis generation and refinement:

Process of hypothesis generation and refinement

Decision Taking:

Decision Taking Decision taken via etiology diagrams , Decision trees or expert computer systems. Use of the quantifiable notion of ‘ Utilities ’. Quality v/s Length of Life

Medical datum and data:

Medical datum and data Medical datum is any single observation of a patient, data is plural of datum. A number of datum make up data. BP:120/80 mm of Hg (data or datum?) Importance of having a sound data model.

4 Elements of medical datum:

4 Elements of medical datum Patient in Question Parameter to be observed Value Time of observation

Various Types of Data:

Various Types of Data Narrative Textual Numeric Device inputs Drawings Photographs

Peculiarities of Medical data:

Peculiarities of Medical data Typical phrases like RRR / TWNL / NAD Different meanings in different contexts eg : M.I may mean different things in different cases/ contexts

Weakness of Traditional Record Keeping :

Weakness of Traditional Record Keeping No Linkage Difficult Chronology Redundant Inefficient

Medical Data used by:

Medical Data used by All Stakeholders in the healthcare delivery in clinical settings (admin/ physicians/ finance , etc) Research and analysis/ New eHealth Products helps create Guidelines for EBM Governments, NGOs Clinical research

Important Terms:

Important Terms Sensitivity Specificity Incidence Prevalence Odds, Risk Likelihood ratios

Calculating decisions:

Calculating decisions LR+ = TPR/FPR LR- = FNR/TNR Predictive value of tests Calculating value of decision at each fork LR= Likelihood Ratio

Data Sources:

Data Sources Clinic records Hospital records Disease registers Medical literature Web based databases Survey reports …..

Patient data and real time collaboration:

Patient data and real time collaboration

Who are The Data Sharers/ Data Collectors:

Who are The Data Sharers/ Data Collectors Physicians Nurses Lab personnel Therapists Pharmacy Administrative staff

Uses Of Medical data:

Uses Of Medical data Create historical record, compliance Communication between stakeholders Anticipate future health problems/ trends Support basic research Create guidelines for good clinical practice Quality studies Fuel eHealth startups

Data Agencies in India:

Data Agencies in India National sample surveys NRHM units CGHS National and state programs Teaching Hospitals Private sector NGOs

PowerPoint Presentation:

Dr. Neelesh Bhandari http://about.me/edrneelesh http://linkedin.com/in/neeleshbhandari Digital Medicine Email: edrneelesh@gmail.com

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