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Research Article - (2021) Volume 0, Issue 0

Role of information Systems in Healthcare

Jaspaljeet Singh Dhillon*

Health Informatics, University Tenaga Nasional, Selangor, Malaysia

*Corresponding Author:

Jaspaljeet Singh DhillonSenior Lecturer, Health Informatics, University Tenaga Nasional, Selangor, Malaysia Tel:
+60124410600; E-mail: jaspaljeet@uniten.edu.my

Received Date: September 15, 2020; Accepted date: August 12, 2021; Published date: August 23, 2021

Citation: Dhillon JS (2021) Role of Information Systems in Healthcare. Health Sci J Vol.15 No.7.

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Abstract

With the rapid advancement in Information and Communication Technology (ICT), many healthcare facilities are making significant investments in these technologies that have been shown to have a positive effect on patient health outcomes, such as lower error rates and increased patient safety as well as time savings for health professionals. Healthcare systems involve the cooperation of multiple healthcare professionals and disciplines. The quality and safety of treatment in such a setting relies heavily on the ability to share information from one device to another, and from one person to another. However, in healthcare environments, information systems that also support a fast and efficient flow of information along healthcare processes are not widely used. Healthcare organizations typically have their own self-developed information systems that do not accept the cooperation of different organizational units. This paper introduces some general trends of design for the Healthcare Information Systems databases. Our focus is on generalizing the ability of the database structure, which is capable of serving many medical specialties, without any comprehension. In this paper, we would focus on exploring existing Information Systems that are used in current times according to the branches of Healthcare Industry. We also would be discussing and critically analyzing each Information Systems based on previous articles and empirical studies.

Introduction

Healthcare practitioners recognized the need for approaches to increase access to health care and encourage the improvement of information systems. Differences in access to healthcare facilities and the effects arising from the patients are huge public health priorities. This is concerning because the integrated and collaborative treatment involves a high level of standardization and sharing of information between physicians and care providers involved in a patient's healthcare that can be shared through information systems. Medical procedures may even become impossible to carry out if the information is missing, medical tests may be repeated or prior findings may be ignored, preparations may be omitted or a preparatory procedure postponed (Lenz & Reichert, 2007; Reichert, 2011), and lifesaving information may not be available in emergency care. Its information systems and technologies in particular such as electronic health records (EHRs), decision support, electronic prescription, electronic referral, and other technologies that allow information sharing have been promoted as potential tools for improving the quality, safety, and efficiency of the healthcare system. Given those possible advantages, the full potential of the information system has never been tapped. Delivering good quality care is a complex endeavour that is highly dependent on knowledge and information (Bose, 2003; Rezazadeh et al., 2014). Healthcare organizations usually have their own autonomously developed Information Systems which do not support the collaboration of various organizational units and medical disciplines.

This has led to the fragmentation of patient information across healthcare organizations in proprietary heterogeneous systems. Consequently, sensitive knowledge contained in these applications cannot be reached easily.

The aim of this paper is to review existing healthcare Information Systems, discuss how the knowledge of the IS of healthcare professionals influences their everyday work practices and their interest. We distinguished common types of information systems that are available in the healthcare industry.

Literature Review

Health Management Information System (HMIS)

According to the Oxford Dictionary, “Management Information System” can be defined as “a system that stores information for use by business managers”. Previous researchers also determined the definition that has the same connotation to the definition that was mentioned. Heeks, Mundy, & Salazar (1999) defined “Management Information System” as “a system with a group of persons; a set of manuals and equipment used for selecting, storing, processing and collecting data for better and timely decision-making, and for providing information to different management levels.”

In relating to “Health Management Information System,” Heeks et al. (1999), defined it as “a management and information system that is primarily developed to improve healthcare facilities and organizations' planning, management and decision-making.” This information system is a set of data explicitly designed to assist in healthcare growth, management, planning, and decision-making (Hawkins, 2010) In Malaysian practice, Dr. Abdollah Salleh (n.d.) defined the purpose of healthcare information system as an information system that facilitates two main groups of activities, functions, and services which are the core business of providing healthcare to clients and managing hospitals as a business entity that act as a provider of hospitality services and physical facility. On the other hand, Bush, Lederer, Li, Palmisano & Rao (2009), mentioned that its purpose is to offer all levels of health monitoring of hospitals and managers with accurate, up-to-date, and usable real-time health information.

The important use for HMIS is to evaluate recipients’ attitude and satisfaction level, scheduling, implementing, and administering programs’ health services and quantifying medical and psychological issues that can be used to compare health services locally, nationally, and internationally (Doolin, 2004).

HMIS consist of a few types of information system which are available and accessible for healthcare practitioners. The types of HMIS are Electronic Medical Record (EMR), Practice Management Software, Master Patient Index, Patient Portals, Remote Patient Monitoring, and Clinical Decision Support. Hence, this paper will explore deeper of five out of these six types of information systems.

Based on Selvaraju's (2006) findings, the researcher appropriately laid out challenges that could be future research in HMIS towards the Malaysia context. It is listed as follows.

Data Quality, Accuracy, and Timeliness: Currently, the health information required is not adequate, timely, and effective for efficient management. Since the data collected are developed over an annual system, it thus brings a concern of data time gaps that should be recorded daily. Standardization of data should be established to reduce the variance of data from the public and private sectors.

ICT in Healthcare: On-paper records and less use of database potential are issues that should be tackled. There are rooms for improvements in incorporating ICT and healthcare to improve customers’ satisfaction and value-added business functions in the healthcare industry. In an effort to be data-driven, information flows within the industry should be accessible with the support of ICT leverages.

Evidence-Based Planning/Practice: This practice can be done with the use of National Data Sets that allows comparisons. However, in the current settings, it is unable to be achieved as the formulation of data sets for specific diseases or conditions through data drive consensus should be improved.

Medical Informatics: As data are envisioned to be accessible and shared the Malaysian Health Informatics Association provided the platform to make it do. However, there should be high participation from the private sector and industry partners to make the platform used to its full potential.

Resources: Highly skilled and competent IT personnel should be acquired in developing, implementing, maintaining, and evaluating the IT infrastructure in health informatics. However, Malaysia still has a long way to go to leverage in high skilled IT personnel where the IT infrastructure should be addressed first.

Types of Health Management Information System

Types Definition Objective   Advantages   Disadvantages
Electronic An interactive device Used to 1. Enable real-time, 1. Control of privacy
Medical health reports efficiently   patient-centric records   and security of
Record consisting of monitor,   available for users to   data.
(EMR) systematic access and   approved instantly 2. Technological
  gathering of update patients   and securely.   Backwardness.
  patient and data. 2. Make evidence-based 3. High amount of
  population     resources accessible   monetary leverages
    electronic-     for the clinician to make   needed to support
  stored health     decisions about the   the Information
  details in a     patients’ treatment.   System.
  digital format   3. Enables medical    
        professionals to enter    
        new patients records,    
        produce digital record    
        and update records.    
Practice A software that Designed to 1. Automation of 1. Need a cooperative
Management capable of entering help medical   administrative records   and engaging
Software and track patients, offices, clinics   for patients’ insurance   relationship
  recording or hospitals to   card.   between medical
  demographics, run daily 2.  Saves time on billing   offices and
  scheduling operations   department to   insurance
  appointments, efficiently.   resubmitting   companies.
  managing charge     insurance claims and 2. Data security
  capture,     boost cash flows by   governance as data
  submitting     faster reimbursement   could be uploaded
  insurance claim,     process.   into outsourced
  processing   3. Medical practitioners   Cloud databases.
  payments and     able to validate 3. Need to leverage
  generating     procedures with   into administrators
  reports.     insurance companies   training to
        before ordering it and   equipped the
        reducing errors.   technical skills of
            the software.
Digital A method of Capture data 1. Improve data 1. Requires mobile
Contact contact tracing on cases and   management   phones that
Tracing that uses contacts that   efficiency,   supports the
  communication exposed to the   accuracy and   application to be
  traces in a risks of    automate tasks   installed.
  communication pandemic. 2. Reduce burden data 2. Privacy threat to
  network. Often     collection on public   users as
  created in an     service workers of   government have
  application that     electronic allowance   the ability to trace
  can be installed in     reporting itself by event   citizens’ location
  mobile phones.     and all the contacts.   on the grid.
      3. Enable place to use 3. There would be a
        identifying details   probability of false
        contacts with culture   positive alerts to
        unknown for that case   non-exposed
        to discover likely   individuals in the
        exposition.   area.
Remote A telehealth To collect data 1. Allow telecommuting 1. Different accuracy
Patient information in detecting   information   and reliability
Monitoring system that medical events   transmission from   outcome will
(RPM) provides medical or to be used   medical practitioners   hinder the
  sensors to as part of   that are halfway   information system
  transmit patients research   around the world.   outcome.
  data to healthcare project or 2. Able to detect medical 2. Need a stable
  professionals. health study.   events that acquire   connectivity
        immediate and   infrastructure to
        aggressive medical   monitor remote
        intervention.   patients.
      3.       Able to give        3. High cost incurred
        areas patients access   in leveraging to
        to face-to-face health   smart system in
        care.   patients’ residential
            area.
Clinical An information Assist 1. Increased quality of 1. The outcome of
Decision system that hospitals,   care and improved   decision making
Support encompasses clinics or   health outcomes.   would be perceived
(CDS) variety of tools to medical 2. Minimizing errors and   as inflexible.
  enhance decision providers to   adverse events. 2. Time-consuming
  making in clinical make well 3. Improved efficiency   use in making
  workflow. informed   and provider-patients   decision for
    decisions.   satisfaction.   uncertain medical
            diseases or
            conditions that
            does not have any
            historical data.
          3. Computer
            application has
            different
            acceptance and
            judgements
            towards a medical
            diseases or
            conditions.

Discussion

From knowing the types of information systems that reinforce HMIS, it is clearly evident that each information system has its own strength and weaknesses. With that, we would like to suggest some improvements to each information system.

Firstly, most of the information systems have the same challenge, which is data privacy and security. It is important that patients are able to feel secure with the data that they hand over to the medical office or hospitals. With that, it would be advantageous if the medical offices or hospitals to expand their IT infrastructure to establish an internal database that has a lower dependency on outsourced databases. This could provide a higher authority to the medical offices or hospitals in regulating and overseeing the users of data that have access to the data.

Secondly, it is a huge challenge for this technology to be cheaply available. It is a disadvantage for medical offices or hospitals that unable to leverage for costly technologies that help to swift up the processes. Hence, it would be reasonable if these technology manufacturers are able to make it affordable for it to be accessible to all medical offices and hospitals.

Thirdly, accountability in all HMIS used. HMIS brings in logins. Logins are like individual keys, with alphanumeric and special characters as their key. A person logs in with access controls is provided to any employee who will work on HMIS. Every task only happens via logins. HMIS offers the kind of consistency that manual processes cannot succeed in providing. HMIS should have access rights, will anyone be able to access the data, ensuring data safety. Through an audit trail, HMIS enables to trace all activities to the employee who performed using the HMIS in the healthcare industries.

Fourth, avoid outdated data in using HMIS. This is due to HMIS processes being automated, and a lot of tasks are allocated to the software to be performed with high accuracy, with minimal human intervention, the scope of error can significantly be decreased. For example, when an ID patient is billed for consumables used, the bill can hardly go wrong with HMIS because the nurse under the patients enters the consumables immediately into the HMIS, and all information and data should be updated, and tally in the system used also.

Conclusions

In a nutshell, we can see that the healthcare industry is evolving over a period of time. It is the utmost importance to integrate the use of technology and medical practices in order to swift up clinical processes, improving well-informed decision making, and keeping records secure without just depending on on-paper memory. The advancement of technology makes it easier for medical professionals, administrators, and patients. With the emerging needs of fast service delivery and top-notch accuracy in treatments, it is already a focus for medical offices, hospitals, and clinics globally able to execute them in demand of the patients and customers.

In the Malaysian aspect, we can embed these technologies in helping to improve our healthcare industry, as we are in need of real-time data to be shared among the practitioners, administrators, patients, and society at large. During the COVID-19 outbreak, we now acknowledge the importance of real-time data and updates in regards to the healthcare industry of combating against the pandemic. The upgrade of technology uses and infrastructure in the Malaysian healthcare industry should be the focal point of governmental investment during these unprecedented times. With that, we would like to see these information systems are widely used in Malaysian medical offices, hospitals, and clinics nationwide.

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References

  1. Angus L, Valentijn P P (2018) From micro to macro: assessing implementation of integrated care in Australia. Australian Journal of Primary Health 24(1): 59-65
  2. Bush M, Lederer A L, Li X, Palmisano J, Rao S (2009) The alignment of information systems with organizational objectives and strategies in health care. International journal of medical informatics. 78(7): 446-456.
  3. Constantinides P, Barrett M (2006) Negotiating ICT development and use: The case of a telemedicine system in the healthcare region of Crete. Information and Organization 16(1): 27-55.
  4. Doolin B (2004) Power and resistance in the implementation of a medical management information system. Information Systems Journal 14(4): 343-362.
  5. Ferretti L, Wymant C, Kendall M, Zhao L, Nurtay A, Abeler-Dörner L, Fraser C (2020) Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing. Science 368(6491).
  6. Gladman L (2019) Types of Healthcare Information Systems - Scott-Clark Medical. Retrieved.
  7. Hawkins B (2010) Best Practices of Hospital & Health-System Pharmacy. Bethesda.
  8. Rule M A (2004) American Society of Health-System Pharmacist. J Pain Palliat Care Pharmacother 18(3): 59-62.
  9. Heeks R, Mundy D, Salazar A (1999) Why health care information systems succeed or fail. Information Systems for Public Sector Management Working Paper (9).
  10. Kalai A R, P Dhanapal D D (2011) A Study of Technology Sustainability on Hospital Information Management System (HIMS) Governance in Malaysia. 2011 National Postgraduate Conference.
  11. Kintu P, Nanyunja M, Nzabanita A, Magoola R (2005) Development of HMIS in poor countries: Uganda as a case study. Journal Articles (Health) 156.
  12. Malasinghe L P, Ramzan N, Dahal K (2019) Remote patient monitoring: a comprehensive study. Journal of Ambient Intelligence and Humanized Computing 10(1): 57-76.
  13. Merican M I, Rohaizat Y, Haniza S (2004) Developing the Malaysian health system to meet the challenges of the future. The Medical journal of Malaysia 59(1): 84-93.
  14. Nziwa P, Oluoch M, Tenambergen W (2018) DETERMINANTS OF ELECTRONIC MEDICAL RECORDS USE AMONG HEALTH CARE WORKERS IN HIV CARE FACILITIES IN KENYA IN NAIROBI COUNTY. Journal of Health, Medicine and Nursing 3(1): 54-68.
  15. Selvaraju S (2006) Health information management: Malaysian experience. Health Informatics Center Ministry Heal Malaysia.
  16. Spero J C, McQuide P A, Matte R (2011) Tracking and monitoring the health workforce: a new human resources information system (HRIS) in Uganda. Human resources for health 9(1): 6.
  17. World Health Organization (1978) Primary health care: A joint report. World Health Organization.