• The collection of medical data determines the patient's life quality improvement if the medical professionals, pharma, and the payers collaborate closely. • Medical sectors must understand the collaborations between the patient, doctor, payer and prescription. The reliable data is now at the heart of any hospital decision. Continue Reading: https://bit.ly/3mu7evh Reference: https://pubrica.com/services/medical-data-collection/ Why Pubrica? When you order our services, Plagiarism free|on Time|outstanding customer support|Unlimited Revisions support|High-quality Subject Matter Experts. Contact us : Web: https://pubrica.com/ Blog: https://pubrica.com/academy/ Email: sales@pubrica.com WhatsApp : +91 9884350006 United Kingdom: +44- 74248 10299

1. WHAT ARE THE EXISTING
CHALLENGES IN THE
MEDICAL DATA
COLLECTION PROCESSES
An Academic presentation by
Dr. Nancy Agnes, Head, Technical Operations, Pubrica
Group: www.pubrica.com
Email: sales@pubrica.com

2. Outline
In-Brief
Introduction to DataCollection:AMessyProblem
Conclusion
Today's Discussion

3. The collection of medical data determines the patient's life quality improvement if
the medical professionals, pharma, and the payers collaborate closely. Medical
sectors must understand the collaboration between the patient, doctor, payer and
prescription. The reliable data is now at the heart of any hospital decision. Any
participant in the health care ecosystem to work with incomplete or fragmented
data is unthinkable that prohibits them from giving valuable insights and opens
doors for compliance risk. Pubrica discusses the challenges in the medical sectors
for medical data collection service.
In-Brief

4. Introduction
to Data
Collection: A
Messy
Problem
Electronic health records capture and manage the
information collected during patient consultations.
Personal health records and claims, patient portals,
and reimbursement information from payers are
present in different data sources of patients profiles
from a medical device data collection.
Additional variables that may contribute to health
outcomes include health behaviours, physical
environment, socioeconomic factors, and lifestyle.
Contd..

5. The information in healthcare is another consolidation and movement of data between
various health care partners.
The additional data about members and their environment may obtain from multiple
vendors government sources that help make good predictions to the right patients at
the right time.
Data-driven recommendations and insights improve both quality and efficacy in
hospitals, mainly for prevention of diseases and early identifying the risk populations.
Contd..

6. Bringing all the data together and using it to make decisions is always a
significant challenge.
They are
Fragmented data,
Ever-changing data,
Privacy and security regulations
Patient expectations
Contd..

7. Contd..

8. Health care data come from perplexing sources with
various formats like structured data, paper, videos,
multimedia, digital pictures and so on.
Data collection in medical sectors communities are equally
shattered, making the integration and extraction of data
is a real challenge.
Employers, social network communities, Providers,
payers, public health specialists and patients collect
data, without unifying the information.
Contd..
1. Shattered
Data

9. There are bifurcation and replication of data with no single source.
It results in imprecise and imperfect health care profiles with little insight into a
patient's health journey and a member's having relationship with, payers,
pharmacy, providers, friends and family members.
A lack of miscommunication and understanding and support causes low cohesion
and high risks.
Poor communication often results in dismissal of procedures, rising the financial
costs and inefficient utilisation of the resource in sample data collection form
medical research.
Contd..

10. The Patients and clinicians, may move, change
their names and professions, retire and die like
everyone else.
The organisations also relocate, add new locations
or go through different mergers and acquisitions.
The introduction of new treatments and drugs,
personalised care models change the service
delivery and data captured, making it difficult to
keep health care data complete, clean and current.
Contd..
2. Ever-changing
Data

11. Dry data and dormant information straightly impact the experience of member and
business sustainability for the providers.
It leads to delay in the adoption of new therapeutic options, insufficient response to
medical sector programs and low commitment and experience and dependant to
medical history data collection.
Contd..

12. Preserving trust from patients is the foundation for
building a healthy medical sector ecosystem.
Data security has become supremely crucial in the
health care industry as the privacy of patients depends
on HIPAA2 compliance and adopting secure
electronic health records(EHR).
Also, with flighty regulatory needs, protecting data sets
and commitment compliant will become a challenge.
Contd..
3. Privacy and
Security
Regulations

13. Low data quality and strategy prevent organisations from meeting new
regulatory needs and result in high costs associated with audits and reporting.
Until data security and compliance issues addressing adequately, it's a
challenging task to increase healthcare with broader people for data collection
in the medical field.
Contd..

14. The medical industry is about to experience the
similar shift in retail, banking and hospitality
management.
The health care system is on-demand for the
perfect service.
At the same time, pressures from millennials and
Generation will force medical sector organisations
to prefer newer forms of commitment.
Contd..
4. Expectations
of the
Patient

15. Medical organisations must adapt themselves for a new generation, volume
and type of persons.
The industry will require to have an understanding of patients changing needs
and their preferences and then provide solutions to align with their way of life.
Contd..

16. There may be only a few opportunities to confirm
information with a patient who has been in contact with an
emergency, meaning that the data initially collected
cannot be determined.
Additionally, the problems of record-keeping systems
may differ, and data quality is often dependant on the
person entering the data correctly.
Relying on the resourcing of an organisation, may not
permit time to staff for reviewing the information for
completeness and get missing data in the data collection
methods for medical research.
5. Lack of
Quality
Assurance
Processes

17. Conclusion
Medical organisations are aspiring for a patient-
centric focus that results in an excellent experience for
members, cohesion to treatment, timely and continued
patient commitment to provide valuable health
information and regular reporting on the quality within
the management and revenue of the health care.
These often-competing objectives, up-to-date
information and reliable data must be readily available
of all concerned stakeholders in a practical manner.
Contd..

18. Data-driven benefits are making headway in this area, enabling health care
organisations to transform massive volumes of data into enterprise assets, driving
quality patient care and cost management for medical records collecting data.
Pubrica briefly elaborates the existing challenges in the medical data collection.

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