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What are the Existing Challenges in the Medical Data Collection Processes

Dr. Nancy Agnes, Head,

Technical Operations, Pubrica

sales@pubrica.com

In-Brief

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. 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.

Keywords:

Medical data collection service, medical

device data collection, data collection for

medical research, data collection for

medical sectors, sample data collection

form medical research, data collection in

the medical field, medical history data

collection, data collection in medical

research, data collection methods for

medical research, collection of medical

data, medical records collecting data

I. INTRODUCTION

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. 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.

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

1. Shattered Data:

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

Copyright © 2020 pubrica. All rights reserved 2

the information. 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.

2. Ever-changing Data:

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. 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.

3. Privacy and Security Regulations:

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. 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.

4. Expectations of the Patient:

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. 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.

5. Lack of quality assurance processes:

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

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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.

II. CONCLUSIONS

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. 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.

REFERENCES

1. Gilchrist, J., Frize, M., Bariciak, E., & Townsend,

D. (2008, August). Integration of new technology in

a legacy system for collecting medical data-

challenges and lessons learned. In 2008 30th Annual

International Conference of the IEEE Engineering

in Medicine and Biology Society (pp. 4326-4329).

IEEE.

2. Holden, R. J., Scott, A. M. M., Hoonakker, P. L.,

Hundt, A. S., & Carayon, P. (2015). Data collection

challenges in community settings: Insights from two

field studies of patients with chronic

disease. Quality of Life Research, 24(5), 1043-1055.

3. Hassanien, A. E., Dey, N., & Borra, S. (Eds.). (,

2018). Medical Big Data and Internet of medical

things: Advances, challenges and applications. CRC

Press.