Medication ReconciliationNCT07727278

Impact of PharmaCloud on Pharmacist-Led Medication Reconciliation Efficiency and Error Detection Among Taiwanese Inpatients

A study testing PharmaCloud-integrated medication reconciliation in people with Medication Reconciliation and Best Possible Medication History, run by Far Eastern Memorial Hospital at 1 site in Taiwan.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record

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Trial summary

Who is it for?: Ages 18 years and older
Conditions the study is for: Medication Reconciliation, Best Possible Medication History, Medication Discrepancy
What is being tested?: PharmaCloud-integrated medication reconciliation
Could I receive a placebo?: No, everyone receives an active treatment
How many people: 93 participants
Where: 1 siteTaiwan
Study dates: 1 May 2024to 30 Nov 2024
Phase: Interventional
Are there results?: None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

Ages 18 years and older
All sexes
No healthy volunteers
Adult, Older adult

Who may be able to join

Age 18 years or older
Use of at least one pre-admission medication for a chronic disease

Who cannot join

If patient was discharged within 48 hours of admission
If patient was scheduled for surgery during their inpatient stay

Trial locations and contacts

1 site in 1 country.

Taiwan1 site

Far Eastern Memorial Hospital
New Taipei City, 220216

Other trials in Taiwan

About this study

Official title: Impact of Integrating PharmaCloud on Pharmacist-Led Medication Reconciliation Efficiency and Error Detection Among Internal Medicine Inpatients: A Prospective Non-Randomized Study in Taiwan

Taiwan's National Health Insurance Administration PharmaCloud provides cross-institutional medication access to reimbursed medication records to support best possible medication history (BPMH) compilation. However, its utility among internal medicine inpatients, who typically present with complex regimens and frequent medication changes, remains understudied. This study aims to evaluate the impact of PharmaCloud integration on pharmacist-led medication reconciliation (MedRec) efficiency and error detection among internal medicine inpatients at both admission and discharge.

The non-randomized, single-center study was conducted from May to November 2024 at the Far Eastern Memorial Hospital in Taiwan. Internal medicine inpatients taking at least one pre-admission chronic medication were enrolled and assigned to standard medication reconciliation protocol (control) or PharmaCloud-integrated medication reconciliation (experimental). Best possible medication history compilation time was recorded across two stages: preparation and interview. Medication discrepancies were identified at admission and discharge and classified as intentional or unintentional.

Conditions: Medication Reconciliation, Best Possible Medication History, Medication Discrepancy
Being tested: PharmaCloud-integrated medication reconciliation

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

PharmaCloud-integrated medication reconciliationOther
The intervention entailed supplementing in-house electronic medical record with data from PharmaCloud, a platform launched by Taiwan's National Health Insurance Administration to enable cross-institutional access to reimbursed medication records.

Study groups in NCT07727278
Study group	Role	What they receive
Standard medication reconciliation	No intervention	Best possible medication histories (BPMHs) were constructed within 72 hours of patient admission. First, designated pharmacists compiled a preliminary BPMH by reviewing in-house electronic medical records. Then, pharmacists conducted patient or caregiver interviews to form the finalized BPMH.
PharmaCloud-intergrated medication reconciliation	Experimental	Best possible medication histories (BPMHs) were constructed within 72 hours of patient admission. First, designated pharmacists compiled a preliminary BPMH by reviewing in-house electronic medical records and PharmaCloud data. Then, pharmacists conducted patient or caregiver interviews to form the finalized BPMH. Receives: Other: PharmaCloud-integrated medication reconciliation

What is being measured

The primary outcome is the main question the study is designed to answer.

Best possible medication history compilation efficiency
The first outcome measure was best possible medication history (BPMH) compilation efficiency, which was measured in minutes as three metrics: preparation time (stage 1), measured from the start of electronic medical record (EMR) and PharmaCloud review to the completion of the preliminary BPMH; interview time (stage 2), measured from the start to the end of the face-to-face interview; and total BPMH compilation time, the sum of stage 1 and 2.
Measured: From patient's time of hospital admission to 72 hours post-admission.

Secondary outcomes (1)

Medication error detection rate
Medication error detection rate was defined as the proportion of participants with at least one identified unintentional discrepancy at either admission or discharge. All identified discrepancies were categorized as either intentional or unintentional, depending on whether or not the medication changes were consciously made by the prescribers, respectively.
Measured: Admission: Unintentional discrepancies identified from patient's time of admission to 72 hours post-admission. Discharge: Unintentional discrepancies identified immediately prior to patient's departure from the facility.

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

1 May 202430 Nov 2024

First posted27 Jul 2026
Study start1 May 2024
Primary completion30 Nov 2024
Study completion30 Nov 2024

Resources

Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
Publications (1)Papers the sponsor has linked to this study.
Other trials for Medication ReconciliationStudies of the same condition, open and under way.
What the trial phases meanHow a treatment moves from first tests in people to approval.

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design

Study type: Interventional
Phase: Phase N/A
Primary purpose: Health services research
Allocation: Non-randomised
Intervention model: Parallel groups
Masking: None (open label)
Enrolment: 93 participants (actual)

IDs, dates and publications

ClinicalTrials.gov ID: NCT07727278
Sponsor's protocol ID: 115116-E
Status last verified: Jul 2026
First submitted: 20 Jul 2026
Last updated: 27 Jul 2026
Results posted: No
FDA-regulated drug: No
FDA-regulated device: No
Individual data sharing: No

Publications

Huang PP, Poon SY, Chang SH, Kuo CW, Chien MW, Chen CC, Chiang SC. Improving the Efficiency of Medication Reconciliation in Two Taiwanese Hospitals by Using the Taiwan National Health Insurance PharmaCloud Medication System. Int J Gen Med. 2023 Jan 19;16:211-220. doi: 10.2147/IJGM.S389683. eCollection 2023.
PubMed 36699342

Want to know more?

The sponsor has not listed a contact. The official record may have more details.

Talk to your doctor first and take this page with you. Only the study team can confirm whether you can join.

Questions to ask the study team

What is the study trying to find out?
What would I need to do, and how often would I visit?
Could I receive a placebo instead of the treatment?
What are the possible risks and benefits for me?
Will it cost me anything? Are travel or time paid for?
Can I keep seeing my own doctor during the study?
What happens when the study ends?

See locations

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All Medication Reconciliation trials

Study at a glance

From the registry record, last updated by the sponsor on 27 Jul 2026. Recruitment status is as the sponsor reported it: confirm with the study team.

Official title: Impact of Integrating PharmaCloud on Pharmacist-Led Medication Reconciliation Efficiency and Error Detection Among Internal Medicine Inpatients: A Prospective Non-Randomized Study in Taiwan
ClinicalTrials.gov ID: NCT07727278
Acronym / sponsor ID: 115116-E
Conditions: Medication Reconciliation, Best Possible Medication History, Medication Discrepancy
Study type: Interventional
Recruitment status: Completed
Enrolment: 93 participants (actual)
Lead sponsor: Far Eastern Memorial HospitalUniversity, hospital or other
Collaborators: National Yang Ming Chiao Tung University
Study start: 1 May 2024 (actual)
Primary completion: 30 Nov 2024 (actual)
Study completion: 30 Nov 2024 (actual)
First posted: 27 Jul 2026 (actual)
Results: Not posted in the source record

Clinical summary

The research question as the sponsor registered it. This describes what the study plans to test, not what it found.

Study design

Primary purpose: Health services research
Allocation: Non-randomised
Intervention model: Parallel groups
Masking: None (open label)
Number of arms: 2

Arm	Type	Receives
Standard medication reconciliation	No intervention	–Best possible medication histories (BPMHs) were constructed within 72 hours of patient admission. First, designated pharmacists compiled a preliminary BPMH by reviewing in-house electronic medical records. Then, pharmacists conducted patient or caregiver interviews to form the finalized BPMH.
PharmaCloud-intergrated medication reconciliation	Experimental	Other: PharmaCloud-integrated medication reconciliationBest possible medication histories (BPMHs) were constructed within 72 hours of patient admission. First, designated pharmacists compiled a preliminary BPMH by reviewing in-house electronic medical records and PharmaCloud data. Then, pharmacists conducted patient or caregiver interviews to form the finalized BPMH.

Who may qualify

Ages: 18 years and older
Sex: All
Healthy volunteers: Not accepted
Age groups: Adult, Older adult

Key inclusion criteria (2 listed)

Age 18 years or older
Use of at least one pre-admission medication for a chronic disease

Key exclusion criteria (2 listed)

If patient was discharged within 48 hours of admission
If patient was scheduled for surgery during their inpatient stay

Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.

Interventions

Intervention	Type	Arms
PharmaCloud-integrated medication reconciliationThe intervention entailed supplementing in-house electronic medical record with data from PharmaCloud, a platform launched by Taiwan's National Health Insurance Administration to enable cross-institutional access to reimbursed medication records.	Other	PharmaCloud-intergrated medication reconciliation

Primary outcome

Best possible medication history compilation efficiency
Time frame: From patient's time of hospital admission to 72 hours post-admission.
The first outcome measure was best possible medication history (BPMH) compilation efficiency, which was measured in minutes as three metrics: preparation time (stage 1), measured from the start of electronic medical record (EMR) and PharmaCloud review to the completion of the preliminary BPMH; interview time (stage 2), measured from the start to the end of the face-to-face interview; and total BPMH compilation time, the sum of stage 1 and 2.

1 secondary outcome

Medication error detection rate
Time frame: Admission: Unintentional discrepancies identified from patient's time of admission to 72 hours post-admission. Discharge: Unintentional discrepancies identified immediately prior to patient's departure from the facility.

Results and safety

The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.

Research links

Official record on ClinicalTrials.govLast updated by the sponsor 27 Jul 2026.
Background: PubMed 36699342Huang PP, Poon SY, Chang SH, Kuo CW, Chien MW, Chen CC, Chiang SC. Improving the Efficiency of Medication Reconciliation in Two Taiwanese Hospitals by Using the Taiwan National Health Insurance PharmaCloud Medication System. Int J Gen Med. 2023 Jan 19;16:211-220. doi: 10.2147/IJGM.S389683. eCollection 2023.
Individual participant dataSharing planned: No

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Improving Medication Therapy Through a Digital Interdisciplinary Medicine Therapy Optimisation Model
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Referral and contact

AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.

The record lists no contact. Use the official record to reach the sponsor.

1 site in 1 country: see every site and its status.

Questions about this trial

What is this clinical trial studying?

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 2 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 27 Jul 2026. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in Taiwan. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Best possible medication history compilation efficiency (time frame: From patient's time of hospital admission to 72 hours post-admission.). It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT07727278, which also lists 1 linked publication.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 27 Jul 2026.