Introducing Medical Data


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.


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 Digital Medicine Email:

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