Revolution in Healthcare and importance of data analytics

Focusing forward to 2016 and innovative trends that appear suggests a progressive consideration of how data, science and ­design that empowers the healthcare transformation. This is because of the structural development as healthcare and life sciences companies which calibrate ­resources in the name of transformation.

Indian healthcare sector

  • India was the sixth largest healthcare market globally in terms of size in 2014, and is one of the growing industry in healthcare sector.
  • Growing income levels, rising health awareness and changing approach in the direction of preventive healthcare is expected to increase healthcare facilities demand in future.
  • India has emerged as a pivot for medical and healthcare activities for global players due to its relatively minimum cost of clinical research and these things are directly affecting on medical tourism.

Currently healthcare organizations in overall world are challenged by burden to minimize costs, improve management as well as results and to be more patient centric. Building analytics competency can help these organizations increasing “big data” to form actionable exposes, set their prospect vision, improve results and reduce time to value.

Major Healthcare challenges

  • The Deluge of Digital Data.
  • Not Enough Data Scientist.
  • Electronic Health Records are more confined than expected.
  • No one likes changes.
  • Device interoperability and data integration.
  • Security and privacy issues.

Role of data analyst to troubleshoot the challenges

  • Manage the flow of data
  • Use analytics to help cut down on administrative costs.
  • Use analytics for clinical decision support.
  • Cut down on fake and abuse.
  • Use analytics for better care coordination.
  • Use analytics for better patient wellness.

Future of healthcare data Analyst

  • Applying statistical techniques to answer questions related to healthcare and medicine.
  • Analysing large volume of data rapidly and effectively.
  • Effectively using healthcare data to measure urban and rural development.
  • Using real time data from patients and developing analytical tools.
  • Helping in medical decision making and ensuring patient safety.

 

Need of SWOT Analysis!

Tactical planning demands convincing and unbiased assessment, transforming healthcare organizations also need to make frequent modifications to maintain optimum functionality. To decide the areas where corrections are needed to be made, there are number of methods can be used.

Nevertheless, one crucial method is SWOT analysis which is yet to be explored in healthcare that allows the determination of an organization from an unbiased viewpoint through a complete discussion of organization’s Strengths, Weakness, Opportunities and Threats (SWOT). The strengths and weaknesses of the organizations are their internal factors, whereas opportunities and threats usually are an effect of external factors playing their amount.

Conclusively, though the data experts are actively participating throughout development and research cycle of healthcare, they should be aware of following challenges:

  • Why analytic proficiency is more imperative than ever?
  • With the transformation of healthcare sector, is it important to give emphasis on data analysis to create novel research strategies?
  • Do we have strategy to collect maximum amount of patient-generated health data? How can we utilize this information in patient or community development?
  • Barriers we meet while implementing these issues?

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Swapnil Chavan

1 Comment  

  • Ashish Patel

    Good information and Knowledge provided Swapanil Chavan ?

    September 20, 2016 - 3:11 am/ Reply

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