Health

New Health Information Technology: Patient matching System

Over the last decade, the advancement of information technology has been a crucial milestone for quality services in the global health sector. Not everyone will realize it, but technology innovations are significantly revolutionizing the healthcare sector. 

Despite the transition facing significant challenges like data security, there is no doubt that it is effective. Electronic medical record (EMR) systems are slowly becoming the mainstream technology for capturing and keeping patients’ records. 

Healthcare service centres can easily access various categories of health IT software systems that have similar capabilities. Sharing of health records is now simplified, thanks to the patient matching system. But how effective is the patient matching software?

How Effective Is Patient Matching Software?

Patient matching software works by detecting common denominators in electronic health records and retrieving data based on personal traits like geographies, history and demographics. 

It is also used in matching patient medical records when there are several other sources. Other healthcare services like research centres, doctors’ offices, and governmental databases can also retrieve patient records.

The primary objectives of patient matching are offering comprehensive and progressive care and providing better synergistic treatments—however, secondary objectives like exchanging and selling patient information for marketing ventures to generate a monetary gain. 

Unfortunately, this secondary objective dominates significant risks associated with patient matching. It raises concern over breaches of privacy and security expectations. The majority of the patients are not concerned with doctors viewing their health records for treatment reasons. 

But drug companies accessing patients records to advertise might not be positively welcomed by some patients. 

New proposals but controversial solutions to problems arising from EHR exchange are Unique Patient Identifiers (UPI). But due to patient privacy concerns, the creation of UPI was prohibited by the law. 

Benefits Of Patient Matching Software

Several benefits come along with patient matching softwares, including:

  • Synthesizing treatment
  • Giving quality services
  • Ability to identify best practice
  • Keeping personal records
  • Ease record retrieval

Functions and Challenges Facing Health Information Organization

The two fundamental functions for health information organization include:

  1. Confirming a request and responding to health information organizations’ patients are one. 
  2. Proving that the patient’s information exchange gets the patient’s approval.

As stated earlier, some challenges arise and generate serious concerns issues like false non-matches, patient consent, false matches and privacy matches. Those are some of the primary concerns healthcare centres should focus on when choosing a reputable Health Information Organization (HIO) and Health Information Exchange (HIE) software.   

The patient data matching process is complex, just as any medical issue faces exposure to privacy invasion. Not only is the matching process an ethical questioning concern, but also the ability to acquire information. 

That will also keep the patient matching process controversial. The help of state health information technology can also come in handy in helping to verify favourable and secure health information technology programs. 

Consent is the crucial issue that directly affects patient matching softwares in terms of ethical and practical problems. No one will accommodate strangers having to look at their confidential medical information.

 

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